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Insights Into Technology Adoption: A Systematic Review of Framework, Variables and Items
Abstract
The purpose of this study is to provide a comprehensive analysis of key variables and items in technology adoption frameworks. The study aims to identify strengths and weaknesses of different frameworks and provide recommendations for future research and best practices for implementation of technology adoption frameworks. The literature review reveals that the most commonly used technology adoption frameworks are the Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), Technology-Organization-Environment (TOE) Framework, Task Technology Fit (TTF), and Innovation Diffusion Theory (IDT). The study is significant as it will provide insights into factors influencing technology adoption and help researchers and practitioners better understand the adoption process. The study utilized a systematic literature review approach and identified 50 relevant articles published between 2012 and 2023. The findings revealed several key variables and items in technology adoption frameworks, including perceived usefulness, perceived ease of use, social influence, facilitating conditions, behavioral intention, organizational context, task compatibility, user skills, user involvement, communication, and innovation characteristics. The comparison of variables and items across frameworks highlighted overlaps and unique aspects of each framework, with some frameworks being more comprehensive than others. The study's findings have practical implications for organizations considering technology adoption, and can contribute to the development of more effective technology adoption frameworks that address the complexities of adoption in various contexts.
... A group researchers distinguished between structural and relational dimensions of social capital, emphasizing the importance of both network structure and quality of relationships in facilitating knowledge sharing, collaboration, and resource mobilization among entrepreneurs (Ceci et al., 2020). In the context of technology adoption, diffusion of innovations theory provides a framework for understanding the process through which new technologies spread within a social system (Rogers et al., 2014;Emon, 2023). According to Rogers, the adoption of innovations follows an S-shaped curve, with early adopters influencing later adopters through interpersonal communication and social networks (Emon, 2023). ...
... In the context of technology adoption, diffusion of innovations theory provides a framework for understanding the process through which new technologies spread within a social system (Rogers et al., 2014;Emon, 2023). According to Rogers, the adoption of innovations follows an S-shaped curve, with early adopters influencing later adopters through interpersonal communication and social networks (Emon, 2023). ...
This qualitative research delves into the intricate interplay between social networks, technology adoption, and entrepreneurial success. By conducting in-depth interviews and thematic analysis, this study aims to illuminate the mechanisms through which social networks influence the adoption of technology among entrepreneurs and subsequently contribute to their success. The findings underscore the significance of social capital, information sharing, and network structure in shaping entrepreneurial decisions and outcomes in the digital age. Entrepreneurs leverage their social networks as sources of information, resources, and collaboration opportunities, tapping into the collective intelligence and support of their peers, mentors, and industry contacts. Network diversity, centrality, and connectivity emerge as critical factors influencing entrepreneurial decisions and outcomes, enabling entrepreneurs to access valuable resources, forge strategic partnerships, and position themselves within entrepreneurial ecosystems. Moreover, the advent of digital platforms and online communities has transformed the dynamics of social networks, providing entrepreneurs with unprecedented opportunities for global connectivity and collaboration. However, challenges such as information overload, algorithmic biases, and privacy concerns underscore the need for strategic navigation of digital networking platforms. Implications for practice include promoting diversity and inclusivity within entrepreneurial ecosystems, fostering networking skills through entrepreneurship education programs, and encouraging proactive engagement with social networks among entrepreneurs. Furthermore, future research directions include longitudinal studies to explore the dynamics of social networks over time, comparative studies across different cultural contexts, and interdisciplinary research efforts to integrate insights from diverse fields. Overall, this study contributes to a deeper understanding of how social networks shape technology adoption and entrepreneurial success in the digital age, offering valuable insights for policymakers, educators, ecosystem enablers, and entrepreneurs themselves.
... Digitalization is the incorporation of digital technology into many areas of corporate operations, such as manufacturing, marketing, distribution, and customer service (Jahankhani et al., 2022). The term "digital transformation" refers to the adoption and integration of several advanced technologies such as cloud computing, data analytics, artificial intelligence (AI), Internet of Things (IoT), and blockchain (Emon, 2023;Wang et al., 2018). ...
This qualitative research investigates the impact of digitalization on small and medium-sized enterprises (SMEs) in Bangladesh, a country with a burgeoning SME sector pivotal to its economic growth. Digitalization, characterized by the integration of digital technologies into business operations, has become increasingly relevant in the global context, reshaping traditional business paradigms and fostering innovation. Against this backdrop, this study aims to explore how SMEs in Bangladesh navigate the digital landscape, examining the challenges, opportunities, strategies, and implications of digitalization for their operations. Through indepth interviews with 20 SME owners and managers representing diverse industries and regions within Bangladesh, this research delves into the complexities and nuances of digital transformation in the Bangladeshi SME context. Thematic analysis of the interview data reveals a range of insights into the adoption, challenges, and outcomes of digitalization for SMEs. Key themes include digital transformation strategies, encompassing initiatives such as e-commerce adoption, digital marketing, and data-driven decision-making; challenges and barriers, including limited digital literacy, infrastructure constraints, and cybersecurity risks; opportunities and innovations, such as market expansion, innovation, and collaboration; and implications for policy and support, emphasizing the need for supportive government policies, industry initiatives, and capacity-building programs. The findings of this study contribute to a deeper understanding of the dynamics of digitalization and SMEs in Bangladesh, offering valuable insights for policymakers, industry stakeholders, and support organizations. By addressing the challenges and leveraging the opportunities presented by digitalization, SMEs in Bangladesh can enhance their competitiveness, innovation, and resilience, driving economic growth and sustainable development in the country. This research underscores the importance of fostering an enabling environment that empowers SMEs to thrive in the digital age, ensuring inclusive growth and prosperity for all segments of society.
... While the potential of emerging technologies to fuel entrepreneurial innovation is immense, it is also accompanied by a myriad of challenges and uncertainties that entrepreneurs must navigate (M. M. H. Emon, 2023). One of the primary challenges facing technology-driven entrepreneurship is the rapid pace of technological change, which can render existing business models obsolete and require entrepreneurs to continuously adapt and evolve (Autio et al., 2018). ...
In an era characterized by rapid technological advancement, the intersection of emerging technologies and entrepreneurial ventures has become a focal point of inquiry for scholars, policymakers, and practitioners alike. This qualitative research seeks to explore the multifaceted impact of emerging technologies on entrepreneurial endeavors, shedding light on the motivations, challenges, strategies, and outcomes associated with technology-driven entrepreneurship. Through in-depth interviews with entrepreneurs operating in diverse industries and geographical regions, this study elucidates the complex dynamics shaping the relationship between emerging technologies and entrepreneurial ventures. The findings reveal a diverse array of motivations driving entrepreneurs to adopt and integrate emerging technologies into their ventures, including economic incentives, social impact objectives, and environmental sustainability goals. However, the integration of emerging technologies is not without its challenges, as entrepreneurs encounter regulatory uncertainties, organizational resistance, and resource constraints in their quest to innovate. Despite these challenges, entrepreneurs employ various strategies, such as forming strategic partnerships, fostering innovation culture, and embracing customer-centric approaches, to successfully integrate emerging technologies into their ventures and drive innovation. The implications of these findings extend to both theory and practice in technology-driven entrepreneurship, highlighting the need for policymakers, investors, and practitioners to create an enabling environment that supports innovation and entrepreneurship. By understanding the drivers, barriers, and strategies associated with technology adoption in entrepreneurial ventures, stakeholders can better support and capitalize on the transformative potential of emerging technologies to drive economic growth and societal progress. In summary, this research contributes to our understanding of the complex interplay between emerging technologies and entrepreneurial ventures, offering insights for researchers, policymakers, and practitioners seeking to navigate the evolving landscape of technology-driven entrepreneurship.
... The research methodology employed in this study aimed to provide a comprehensive and in-depth exploration of the interplay between in ation, service quality, and technology adoption in the context of sustainable entrepreneurship within the Technology-Organization-Environment (TOE) framework (M. M. H. Emon, 2023a). Utilizing a qualitative approach, this research sought to capture the nuanced experiences and perspectives of entrepreneurs, offering rich insights into the challenges and opportunities they faced. ...
This qualitative inquiry delves into the intersection of sustainable entrepreneurship, exploring the interplay among inflation, service quality, and technology adoption within the Technology-Organization-Environment (TOE) framework. The primary objective is to gain profound insights into the adaptive strategies employed by entrepreneurs, illuminating their commitment to sustainability amidst economic uncertainties. In adopting a qualitative research design, the study employed semi-structured interviews with entrepreneurs actively immersed in sustainable ventures. Thematic analysis served as the methodological lens, allowing for the systematic identification of patterns and connections within the collected data. The findings reveal the intricate dynamics of sustainable entrepreneurship. Entrepreneurs strategically navigate the challenges posed by inflation, showcasing innovative approaches such as dynamic pricing mechanisms. Service quality emerges as a linchpin, not merely as a transactional consideration but as a fundamental element fostering customer relationships. Moreover, technology adoption is unveiled as a transformative force, influencing both operational efficiency and the overarching sustainability of ventures within the TOE framework. Acknowledging the qualitative nature of the study, there is a recognition of the limitations in terms of generalizability. Future research endeavors could enrich the exploration by incorporating the perspectives of diverse stakeholders and broadening the sample, thereby enhancing the applicability of the study's insights. Practically, entrepreneurs stand to benefit from the study's findings by gaining practical insights for adeptly navigating economic uncertainties. The research underscores the significance of fostering customer relationships and strategically incorporating technology to align with sustainability goals. In the realm of societal implications, this study contributes significantly to the ongoing discourse on sustainable entrepreneurship. It emphasizes the broader benefits accruing to society when businesses are steadfastly committed to environmental and social responsibility. The originality and value of this research lie in its provision of unique insights into the interconnected dynamics of sustainable entrepreneurship. By shedding light on how entrepreneurs intricately balance economic viability with environmental and social goals, the study adds depth to the current understanding of sustainable business practices. As with any research endeavor, limitations are acknowledged. Sample specificity and potential researcher bias are recognized factors that may influence the generalizability of the findings. These constraints, however, do not diminish the valuable contributions made by this exploration into the multifaceted landscape of sustainable entrepreneurship.
... The e cacy of banks in effectively addressing customer complaints and recuperating from service failures has the potential to augment customer satisfaction, thereby potentially fostering heightened levels of loyalty in comparison to customers who have not experienced any issues (Mittal, Kumar, & Tsiros, 1999). The investigation of the role of technology in service quality and customer satisfaction has also been a topic of scholarly inquiry (Emon, 2023). Numerous scholarly investigations have been conducted to explore the impact of digital banking channels on customer experiences (Narteh, Agbemabiese, & Amponsah, 2021). ...
This research study examines the impact of customer service quality on customer satisfaction at Bangladeshi Banks. The study aimed to fill existing gaps in understanding the correlation between customer service quality and customer satisfaction in the banking sector, specifically within the context of this bank. The research design adopted for this study was qualitative, allowing for an in-depth exploration of participants' perspectives and experiences. Semi-structured interviews were conducted with key bank representatives and customers to gather rich and contextualized data. The findings from the study shed light on the critical factors influencing customer satisfaction. Responsive service, efficiency in service delivery, and personalization emerged as key drivers of customer satisfaction. Customers highly value prompt and effective responses to their inquiries and seek quick and hassle-free transactions. Personalized services that cater to individual needs and preferences were found to enhance customer perceptions and foster stronger relationships. Additionally, the study highlighted the importance of effective complaint resolution in influencing customer satisfaction. Respondents emphasized the significance of handling complaints with empathy and efficiency to turn dissatisfied customers into loyal advocates. Communication also played a vital role in customer interactions. Clear and prompt communication of information regarding banking products, services, and policies positively impacted customer satisfaction. Furthermore, the study identified a strong link between customer service quality and overall customer satisfaction with Bangladeshi Banks. Positive customer service experiences contributed to higher levels of satisfaction, while negative experiences had the potential to lead to dissatisfaction and affect the bank's reputation. Based on the findings, several recommendations were provided to enhance customer service quality and improve overall customer satisfaction. These recommendations included strengthening responsiveness, investing in customer service training, streamlining processes, leveraging technology, offering personalized services, acting on customer feedback, and fostering a customer-centric culture. This study underscores the critical role of customer service quality in shaping customer satisfaction and loyalty in the banking sector. By prioritizing customer service excellence and implementing the provided recommendations, Bangladeshi Banks can enhance customer relationships, drive loyalty, and establish itself as a customer-centric institution in the competitive banking market. The insights from this study have implications for the bank's strategic decision-making processes and long-term success in delivering exceptional customer experiences.
... Technological progress has been recognized as crucial in driving the textile sector towards sustainability. The study conducted by Kabir (Emon, 2023a;Rejeb et al., 2020) investigates the capacity of new technologies, such as blockchain and Internet of Things (IoT), to improve the visibility and traceability of supply chains. These technologies provide instantaneous monitoring, guaranteeing adherence to ethical norms and environmental rules throughout the industrial processes (Rabbani et al., 2023). ...
This qualitative research delves into the dynamics of sustainable supply chain practices within the Bangladeshi textile industry, aiming to comprehensively examine challenges, impacts, and opportunities associated with the adoption of sustainable approaches. Employing a qualitative approach, in-depth interviews were conducted with 45 industry experts, including stakeholders, practitioners, and governmental representatives. The study reveals a landscape marked by challenges such as technological limitations, financial constraints, and regulatory gaps hindering widespread adoption of sustainable practices. Despite these hurdles, significant positive impacts emerge, encompassing improved worker welfare, reduced environmental footprints, and community development arising from sustainability initiatives. Collaborative efforts, technological innovations, and supportive policies surface as pivotal drivers for sustainable transformations. Research limitations include the study's reliance on a limited sample size and qualitative insights, suggesting the need for further quantitative research to obtain comprehensive industry-wide perspectives. Practical implications advocate for collaborative approaches, technological innovations, and policy interventions to overcome barriers and promote sustainability in the textile supply chain. The study underscores societal benefits like enhanced worker welfare, improved environmental conservation efforts, and community upliftment arising from sustainable initiatives. This research contributes by shedding light on challenges, impacts, and pathways for fostering sustainability in the textile supply chain, providing valuable insights for industry stakeholders and policymakers.
... Technological progress has been recognized as crucial in driving the textile sector towards sustainability. The study conducted by Kabir (Emon, 2023a;Rejeb et al., 2020) investigates the capacity of new technologies, such as blockchain and Internet of Things (IoT), to improve the visibility and traceability of supply chains. These technologies provide instantaneous monitoring, guaranteeing adherence to ethical norms and environmental rules throughout the industrial processes (Rabbani et al., 2023). ...
This qualitative research delves into the dynamics of sustainable supply chain practices within the Bangladeshi textile industry, aiming to comprehensively examine challenges, impacts, and opportunities associated with the adoption of sustainable approaches. Employing a qualitative approach, in-depth interviews were conducted with 45 industry experts, including stakeholders, practitioners, and governmental representatives. The study reveals a landscape marked by challenges such as technological limitations, financial constraints, and regulatory gaps hindering widespread adoption of sustainable practices. Despite these hurdles, significant positive impacts emerge, encompassing improved worker welfare, reduced environmental footprints, and community development arising from sustainability initiatives. Collaborative efforts, technological innovations, and supportive policies surface as pivotal drivers for sustainable transformations. Research limitations include the study's reliance on a limited sample size and qualitative insights, suggesting the need for further quantitative research to obtain comprehensive industry-wide perspectives. Practical implications advocate for collaborative approaches, technological innovations, and policy interventions to overcome barriers and promote sustainability in the textile supply chain. The study underscores societal benefits like enhanced worker welfare, improved environmental conservation efforts, and community upliftment arising from sustainable initiatives. This research contributes by shedding light on challenges, impacts, and pathways for fostering sustainability in the textile supply chain, providing valuable insights for industry stakeholders and policymakers.
... Developers should ensure that user data is handled securely and only used for the intended purposes. Users should have control over their data and be able to easily understand and manage the permissions granted to AI systems (Emon et al., 2023;Liao et al., 2020;Shin, 2021). Ethical considerations are also at the forefront of AI adoption. ...
This study examines the adoption intention of ChatGPT, an AI-based tool, among business professionals. A sample of 350 participants was surveyed to gather data on demographic characteristics, attitudes towards AI, performance expectations, trust, effort expectancy, facilitating conditions, behavioral intention to use, and actual use of ChatGPT. The ndings indicate that the respondents had a positive perception of ChatGPT, considering it as an e cient and convenient tool for academic and professional work. They reported that ChatGPT enabled them to accomplish tasks more quickly and increased their e ciency. The study also found that the majority of participants had a strong behavioral intention to use ChatGPT, and this intention strongly predicted their actual usage. Factors such as attitudes towards AI, performance expectations, trust, effort expectancy, and facilitating conditions signi cantly in uenced adoption intention. Speci cally, individuals with positive attitudes towards AI and higher expectations of performance were more likely to have a stronger intention to use ChatGPT. Moreover, trust in the tool, lower perceived effort required, and the presence of favorable conditions were associated with higher adoption intention. These ndings highlight the importance of individuals' beliefs, perceptions, and contextual factors in shaping their adoption intention of AI technologies. The study concludes that promoting the perceived bene ts and usefulness of ChatGPT, building trust in its capabilities, minimizing perceived effort required, and creating facilitating conditions are crucial for encouraging the adoption of AI technologies among business professionals. The insights from this study can inform developers and organizations in enhancing the adoption and effective usage of ChatGPT and similar AI tools.
... The frameworks encompass TAM (Technology Acceptance Model), UTAUT (Unified Theory of Acceptance and Use of Technology), TOE (Technology-Organization-Environment), TTF (Task-Technology Fit), and IDT (Innovation Diffusion Theory). By comparing and contrasting the two, organizations can acquire practical insights on enhancing technology adoption processes and developing more effective and contextspecific frameworks (Emon, 2023). The human element is a crucial component of the integration process. ...
... A study conducts a thorough analysis of the literature on technology adoption frameworks such as TAM, UTAUT, TOE, TTF, and IDT, highlighting critical characteristics such as perceived usefulness, social influence, and organizational context. The comparison shows framework strengths and limitations, providing organizations with practical insights to improve technology adoption strategies and leading to the development of more successful and context-specific frameworks (Emon, 2023). The human element, crucially, emerges as a critical factor in the integration path. ...
... The comparison highlights the advantages and disadvantages of the framework, providing practical knowledge for enterprises to improve their strategies for adopting technology. This also contributes to the creation of more efficient and situation-specific frameworks (Emon, 2023). Significantly, the role of human beings becomes crucial in the process of integration. ...
... Technology adoption frameworks such as TAM, UTAUT, TOE, TTF, and IDT are systematically reviewed in the literature by a study that identifies important aspects including perceived utility, social influence, and organizational environment. The comparison highlights the advantages and disadvantages of the frameworks, providing organizations with useful information to improve their technology adoption plans and assisting in the creation of more efficient and situation-specific frameworks (Emon, 2023). Most importantly, a key component in the process of integration is the human element. ...
... The comparison reveals the advantages and disadvantages of the framework, offering companies practical knowledge to enhance their strategies for adopting technology. This leads to the creation of more effective and tailored frameworks for specific contexts (Emon, 2023). The human aspect is of utmost importance and plays a fundamental role in the integration process. ...
... The analysis of the framework's merits and drawbacks provides organizations with actionable knowledge that can be utilized to improve their approaches to adopting new technologies. Additionally, it aids in the advancement of frameworks that are more efficient and tailored to specific contexts (Emon, 2023). Significantly, the human element becomes a critical determinant in the process of integration. ...
... The comparison shows the framework's advantages and limitations, giving practical knowledge for businesses to better their technology adoption strategy. This helps to create more efficient and situation-specific frameworks (Emon, 2023). Significantly, the involvement of humans becomes critical in the integration process. ...
... These frameworks include TAM, UTAUT, TOE, TTF, and IDT. Organizations can gain practical insights into how to improve technology adoption methods and how to create more successful and context-specific frameworks by comparing and contrasting the two (Emon, 2023). An essential aspect of the integration process is the human element. ...
... The comparison highlights the advantages and disadvantages of the framework, providing practical knowledge for enterprises to improve their strategies for adopting technology. This contributes to the creation of more efficient and situation-specific frameworks (Emon, 2023). Significantly, the role of human beings becomes crucial in the process of integration. ...
... A study conducts a systematic literature review of technology adoption frameworks, including TAM, UTAUT, TOE, TTF, and IDT, identifying key variables like perceived usefulness, social influence, and organizational context. The comparison reveals framework strengths and weaknesses, offering practical insights for organizations to enhance technology adoption strategies and contributing to the development of more effective and context-specific frameworks (Emon, 2023). Crucially, the human element emerges as a pivotal factor in the integration journey. ...
... The research contributes a distinctive perspective on Asiai tertiary-level students' writing practices amid technological advancements, offering valuable insights into preferences and challenges, enriching the discourse on the intersection of technology and writing instruction. According to (Emon, 2023) conducts a systematic literature review to analyze key variables in technology adoption frameworks, such as TAM, UTAUT, TOE, TTF, and IDT. Identifying strengths and weaknesses, it offers recommendations for future research and best practices. ...
... The research contributes a distinctive perspective on Asiai tertiary-level students' writing practices amid technological advancements, offering valuable insights into preferences and challenges, enriching the discourse on the intersection of technology and writing instruction. According to (Emon, 2023) conducts a systematic literature review to analyze key variables in technology adoption frameworks, such as TAM, UTAUT, TOE, TTF, and IDT. Identifying strengths and weaknesses, it offers recommendations for future research and best practices. ...
... The research contributes a distinctive perspective on Asiai tertiary-level students' writing practices amid technological advancements, offering valuable insights into preferences and challenges, enriching the discourse on the intersection of technology and writing instruction. According to (Emon, 2023) conducts a systematic literature review to analyze key variables in technology adoption frameworks, such as TAM, UTAUT, TOE, TTF, and IDT. Identifying strengths and weaknesses, it offers recommendations for future research and best practices. ...
... Developers should ensure that user data is handled securely and only used for the intended purposes. Users should have control over their data and be able to easily understand and manage the permissions granted to AI systems (Emon et al., 2023;Liao et al., 2020;Shin, 2021). Ethical considerations are also at the forefront of AI adoption. ...
This study examines the adoption intention of ChatGPT, an AI-based tool, among business professionals. A sample of 350 participants was surveyed to gather data on demographic characteristics, attitudes towards AI, performance expectancy, trust, effort expectancy, facilitating conditions, behavioral intention to use, and actual use of ChatGPT. The findings indicate that the respondents had a positive perception of ChatGPT, considering it as an efficient and convenient tool for academic and professional work. They reported that ChatGPT enabled them to accomplish tasks more quickly and increased their efficiency. The study also found that the majority of participants had a strong behavioral intention to use ChatGPT, and this intention strongly predicted their actual usage. Factors such as attitudes towards AI, performance expectations, trust, effort expectancy, and facilitating conditions significantly influenced adoption intention. Specifically, individuals with positive attitudes towards AI and higher expectations of performance were more likely to have a stronger intention to use ChatGPT. Moreover, trust in the tool, lower perceived effort required, and the presence of favorable conditions were associated with higher adoption intention. These findings highlight the importance of individuals' beliefs, perceptions, and contextual factors in shaping their adoption intention of AI technologies. The study concludes that promoting the perceived benefits and usefulness of ChatGPT, building trust in its capabilities, minimizing perceived effort required, and creating facilitating conditions are crucial for encouraging the adoption of AI technologies among business professionals. The insights from this study can inform developers and organizations in enhancing the adoption and effective usage of ChatGPT and similar AI tools.
... The Technology-Organization-Environment (TOE) framework provides a comprehensive theoretical lens for examining the impact of user participation on the success of ERP systems. The TOE framework, proposed by Tornatzky and Fleischer (1990), considers three key dimensions that influence technology adoption and implementation: technological factors, organizational factors, and environmental factors [25]- [27]. ...
... The Technology-Organization-Environment (TOE) framework provides a comprehensive theoretical lens for examining the impact of user participation on the success of ERP systems. The TOE framework, proposed by Tornatzky and Fleischer (1990), considers three key dimensions that influence technology adoption and implementation: technological factors, organizational factors, and environmental factors [25]- [27]. ...
The successful adoption of Enterprise Resource Planning (ERP) systems is crucial for organizations to enhance operational efficiency and gain a competitive edge. User participation has been recognized as a key factor in determining the success of ERP implementation. This study aims to investigate the impact of user participation on ERP adoption success in the context of Bangladesh. The specific objectives include assessing the relationship between user participation and work performance, understanding/proficiency, user-friendliness, and training/support. Additionally, the influence of organizational factors, such as organizational value, guidelines/procedures, and resource/support availability, on user participation is examined. The study also explores the impact of user participation on compatibility with existing organizational processes and alignment with strategic goals. The findings reveal that user participation significantly influences work performance, understanding/proficiency, user-friendliness, and training/support. Organizational factors and strategic alignment play important roles in facilitating user participation. The results emphasize the need to foster user participation, provide adequate training and support, promote organizational values, and align strategic goals for successful ERP adoption in Bangladesh. These insights contribute to a better understanding of the factors that drive ERP implementation success and provide guidance for organizations in Bangladesh and similar contexts. 1. Introduction Enterprise Resource Planning (ERP) systems are integrated software applications that provide organizations with the ability to manage and automate various business processes and operations, procurement, human resources, manufacturing, including finance, and supply chain management. ERP systems are designed to streamline and optimize business processes, facilitate data sharing and communication across different departments, and provide real-time visibility into organizational operations, ultimately leading to improved decision-making and increased operational efficiency [1]. The successful implementation of an ERP system is crucial for organizations to reap the benefits associated with these sophisticated software applications. However, research suggests that the success rate of ERP implementation projects is often lower than expected, with challenges and issues arising at different stages of the implementation process [2]. One significant factor that has been identified as a critical determinant of ERP success is user participation, which refers to the active involvement and engagement of employees who use the ERP system in the implementation process. User participation is essential for ERP success as it enables employees to have a sense of ownership and commitment towards the new system, promotes effective knowledge sharing and collaboration, and enhances user acceptance and adoption of the system [3]. User participation can take various forms, including involvement in system selection, planning, design, testing, training, and ongoing system usage. However, the role of user participation in the context of ERP implementation in the context of Bangladesh remains largely unexplored. Bangladesh, a developing country in South Asia, has been experiencing rapid economic growth and industrialization in recent years, with a significant focus on adopting modern technologies to enhance organizational efficiency and competitiveness. Many organizations in Bangladesh are increasingly recognizing the potential benefits of ERP systems in streamlining their business processes and improving operational effectiveness [4-6]. However, the adoption of ERP systems in Bangladesh is still in its early stages, and there is a need to investigate the factors that can influence the success of ERP implementation in this context. Against this backdrop, this qualitative research study aims to explore the impact of user participation on the success of ERP systems in Bangladesh. The study will focus on understanding the perceptions, attitudes, and behaviors of employees who use ERP systems in their organizations and how their level of participation in the ERP implementation process affects the success of the implementation. The study will provide valuable insights into the factors that can facilitate or hinder user participation in the context of ERP implementation in Bangladesh and their impact on the overall success of the ERP system [8]. The study's findings will add to the current body of knowledge on ERP implementation success factors and provide practical implications for organizations in Bangladesh and other similar contexts. The research findings can help organizations understand the importance of user participation in ERP implementation projects and develop strategies to encourage and enhance user participation, ultimately leading to successful ERP implementations and improved organizational performance. The study will provide valuable insights into the role of user participation in ERP implementation projects and contribute to the body of knowledge on ERP success factors. The research findings will have practical implications for organizations in Bangladesh and other similar contexts and can potentially help organizations achieve successful ERP implementations and enhance their operational efficiency and effectiveness.
... The Technology-Organization-Environment (TOE) framework provides a comprehensive theoretical lens for examining the impact of user participation on the success of ERP systems. The TOE framework, proposed by Tornatzky and Fleischer (1990), considers three key dimensions that influence technology adoption and implementation: technological factors, organizational factors, and environmental factors [25]- [27]. ...
The successful adoption of Enterprise Resource Planning (ERP) systems is crucial for organizations to enhance operational efficiency and gain a competitive edge. User participation has been recognized as a key factor in determining the success of ERP implementation. This study aims to investigate the impact of user participation on ERP adoption success in the context of Bangladesh. The specific objectives include assessing the relationship between user participation and work performance, understanding/proficiency, user-friendliness, and training/support. Additionally, the influence of organizational factors, such as organizational value, guidelines/procedures, and resource/support availability, on user participation is examined. The study also explores the impact of user participation on compatibility with existing organizational processes and alignment with strategic goals. The findings reveal that user participation significantly influences work performance, understanding/proficiency, user-friendliness, and training/support. Organizational factors and strategic alignment play important roles in facilitating user participation. The results emphasize the need to foster user participation, provide adequate training and support, promote organizational values, and align strategic goals for successful ERP adoption in Bangladesh. These insights contribute to a better understanding of the factors that drive ERP implementation success and provide guidance for organizations in Bangladesh and similar contexts.
This study explores the complex relationship between social networks, the adoption of technology, and the achievement of business success. This research seeks to shed light on the processes by which social networks impact the adoption of technology among entrepreneurs and, in turn, enhance their success. This will be achieved via conducting thorough interviews and using theme analysis. The results highlight the importance of social capital, sharing of knowledge, and the structure of networks in influencing entrepreneurial choices and results in the digital era. Entrepreneurs use their social networks to access knowledge, resources, and possibilities for cooperation. They tap into the collective wisdom and assistance of their peers, mentors, and industry connections. Network diversity, centrality, and connection are important elements that significantly impact entrepreneurial choices and results. These qualities allow entrepreneurs to get access to valuable resources, establish strategic alliances, and position themselves effectively within entrepreneurial ecosystems. In addition, the emergence of digital platforms and online communities has fundamentally changed the way social networks operate, offering businesses unparalleled chances for worldwide connectedness and cooperation. Nevertheless, the presence of obstacles such as excessive information, biased algorithms, and privacy issues highlights the need of skillfully navigating digital networking sites. Practical implications are advocating for diversity and inclusion in business ecosystems, cultivating networking abilities via entrepreneurship education programs, and supporting active involvement with social networks among entrepreneurs. Moreover, potential areas for future study including longitudinal studies aimed at investigating the evolution of social networks over time, comparative studies conducted across various cultural settings, and interdisciplinary research endeavors focused on integrating knowledge from several domains. This research enhances our comprehension of how social networks influence the uptake of technology and the achievement of entrepreneurial goals in the digital era. It provides significant information for legislators, educators, ecosystem facilitators, and entrepreneurs.
The study analyzes the impact of adopting technology on the performance of the supply chain of New Grameen Motors Ltd. The inquiry centered on the incorporation of Internet of Things (IoT), Artificial Intelligence (AI), and automation technologies in the manufacturing business, evaluating their impact on operational efficiency, supply chain transparency, and decision-making procedures. The results demonstrate that the incorporation of technology has had a profound impact on the way supply chain activities are conducted. The use of IoT devices enabled the continuous monitoring of data, improving the management of inventories and increasing the accuracy of demand forecasts. Artificial intelligence (AI) enhanced analytics optimized production plans, detected problems in advance, and enhanced operational efficiency. Furthermore, the use of Big Data analytics facilitated the process of generating well-informed decisions, hence influencing plans and customer-focused methods. Nevertheless, the implementation process encountered difficulties, including compatibility problems, significant upfront investment needs, and worries around data security. To address these challenges, it was necessary to provide extensive training to employees, implement strong cybersecurity measures, and develop strategic integration methods. This research highlights the essential need for firms to have a culture that promotes innovation, gives priority to continuous improvements, and encourages strategic partnerships in order to efficiently traverse the complexity associated with adopting new technologies. To summarize, this research emphasizes the significance of New Grameen Motors Ltd finding a middle ground between tackling obstacles and capitalizing on technology prospects. To fully use the revolutionary capabilities of technology in its supply chain operations, the organization should allocate resources towards staff training, enhancing integration techniques, and giving high importance to data security. This proactive strategy will drive the organization towards consistent expansion, increased competitiveness, and improved operational efficiency within the ever-changing manufacturing industry.
This qualitative research endeavors to provide a comprehensive exploration of the nuanced dynamics that characterize the contemporary socioeconomic landscape across diverse sectors, namely finance, education, healthcare, technology, and agriculture. Employing a multifaceted approach encompassing in-depth interviews, focus group discussions, and content analysis, the study aims to unravel the complexities, challenges, and opportunities embedded within each sector. In the realm of finance, the study sheds light on the coexistence of traditional and fintech services, emphasizing the need for adaptability among financial institutions to navigate the evolving landscape of consumer preferences. This finding prompts critical reflections on the trajectory of digitalization and its implications for building and maintaining consumer trust. Within the education sector, the transformative potential of technology emerges as a central theme, albeit accompanied by the persistent challenge of the digital divide. The study delves into the cultural dimensions influencing technology adoption in educational settings, fostering a discussion on the necessity for context-specific approaches and cross-cultural collaborations in educational initiatives. The findings prompt reflections on the cultural attitudes toward risk-taking and failure, indicating the need for supportive ecosystems and policies that foster innovation within diverse cultural contexts. Agricultural sector insights underscore the resilience of farmers and the intricate dynamics within agribusinesses. The study accentuates the need for targeted support, encouraging reflections on sustainable agricultural practices and equitable distribution within global supply chains. The cross-sectoral interactions discussed in this research emphasize the ripple effects of decisions in one sector on others, highlighting the interconnectedness of finance, education, healthcare, technology, and agriculture. This interconnectedness underscores the significance of integrated policymaking and interdisciplinary research to address the complex, multifaceted challenges that define our contemporary global landscape. Furthermore, the study explores methodological advancements in mixed-methods approaches and technology integration in qualitative research. The value of combining quantitative and qualitative methods for a holistic understanding of the socioeconomic landscape is emphasized, reflecting the continuous evolution of research methodologies. In conclusion, the diverse perspectives uncovered in this research provide a robust foundation for informed policymaking, strategic business decisions, and ongoing research initiatives. As we navigate the complexities of the future, a commitment to qualitative exploration remains paramount, ensuring that our responses to change are contextually grounded and adaptive. The collaborative efforts and holistic approaches underscored in this study serve as vital components in shaping a sustainable, inclusive, and resilient global landscape.
The urban retail industry in Bangladesh has experienced significant growth, contributing to the overall economic development of the region. To remain competitive in this dynamic and fast-paced sector, urban retail stores must focus on attracting and retaining talented employees who can contribute to their success. This research explores the challenges and opportunities associated with talent acquisition and recruitment in urban retail stores in Bangladesh. The study was conducted using a questionnaire-based survey, with a sample size of 120 participants comprising employees, HR managers, and recruitment specialists from various urban retail stores. The survey covered important aspects such as recruitment processes, challenges faced in attracting top talent, and strategies employed to improve talent acquisition. Findings from the research highlight several critical challenges faced by urban retail stores in talent acquisition. The competitive labor market and the perception of the retail industry as a low-paying and high-stress environment hinder the attraction of skilled candidates. High turnover rates in the retail sector lead to increased recruitment costs and reduced organizational productivity. Moreover, the rapid changes in consumer preferences and the demand for digital skills present additional obstacles in recruiting candidates with the right skill set. Based on the research findings, the study proposes a set of actionable recommendations for urban retail stores to optimize talent acquisition efforts. Enhancing employer branding, offering competitive compensation and benefits packages, investing in employee training and development, leveraging technology for recruitment, and collaborating with educational institutions are among the key strategies suggested to attract and retain top talent. Additionally, offering flexible work arrangements and emphasizing opportunities for professional growth can appeal to potential candidates seeking stable and fulfilling careers. Implementing these recommendations can help urban retail stores build a skilled and committed workforce, gain a competitive edge in the labor market, and ensure long-term success in the dynamic retail industry of Bangladesh. The research underscores the critical importance of effective talent acquisition and recruitment strategies for the success and competitiveness of urban retail stores. By adopting innovative and proactive approaches to talent acquisition, retail establishments can address challenges, improve employee retention, and foster a positive work environment that attracts skilled employees. The study's insights provide valuable guidance for retail store managers, HR professionals, and stakeholders to make informed decisions in talent acquisition, contributing to the sustained growth and profitability of urban retail stores in Bangladesh.
The chapter provides a comprehensive and up-to-date insight into main research findings in the area of educational technology acceptance, adoption, and usage. Over the past decades, a variety of theoretical perspectives have been advanced to provide an understanding of the determinants of adoption of various technologies used to support the process of knowledge transfer and acquisition. Although some prominent theoretical approaches in educational contexts include Innovation Diffusion Theory (IDT), Unified Theory of Acceptance and Use of Technology (UTAUT), as well as Motivational Model (MM), research reveals the Technology Acceptance Model (TAM) as the most influential model and leading scientific paradigm in investigating acceptance of educational technology by students, teachers, and other stakeholders. Aiming to increase their predictive validity, in numerous empirical studies, models have been extended with different predictive factors, like the most often validated self-efficacy, subjective norm, perceived enjoyment, perceived playfulness, anxiety, social influence, system quality, and facilitating conditions. Research revealed electronic learning (e-learning) as the most common validated mode of delivery, followed by mobile learning (m-learning), learning management system (LMS), personal learning environment (PLE), and massive open online course (MOOC), along with different supportive facilitating technologies used in education such as social media platforms, teaching assistant robots, simulators, as well as virtual reality (VR) and augmented reality (AR) technologies. To enhance explanatory power, new developments in educational technology acceptance and adoption have suggested the need of integration of TAM and UTAUT with other contributing adoption and post-adoption theories and models, together with several established approaches from other fields.
Organizations adopt blockchain technologies to provide solutions that deliver transparency, traceability, trust, and security to their stakeholders. In a novel contribution to the literature, this study adopts the technology-organization-environment (TOE) framework to examine the technological, organizational, and environmental dimensions for adopting blockchain technology in supply chains. This represents a departure from prior studies which have adopted the technology acceptance model (TAM), technology readiness index (TRI), theory of planned behavior (TPB), united theory of acceptance and use of technology (UTAUT) models. Data was collected through a survey of 525 supply chain management professionals in India. The research model was tested using structural equation modeling. The results show that all the eleven TOE constructs, including relative advantage, trust, compatibility, security, firm’s IT resources, higher authority support, firm size, monetary resources, rivalry pressure, business partner pressure, and regulatory pressure, had a significant influence on the decision of blockchain technology adoption in Indian supply chains. The findings of this study reveal that the role of blockchain technology adoption in supply chains may significantly improve firm performance improving transparency, trust and security for stakeholders within the supply chain. Further, this research framework contributes to the theoretical advancement of the existing body of knowledge in blockchain technology adoption studies.
Purpose
The advancement in Internet technology has played a significant role in revolutionizing the Internet banking services. Therefore, little is discussed about factors that motivate technology user to continue the use of Internet banking services. The current study investigates Internet banking user continuance behavior toward the use of Internet banking services with the integration of two-well known information system (IS) theories namely task technology fit (TTF) and technology continuance theory (TCT).
Design/methodology/approach
The research design of this study is based on positivist paradigm and followed quantitative research approach. Data were collected from 360 Internet banking users of commercial banks across Pakistan. The research model was tested with structural equation modeling (SEM).
Findings
The research model had explained 53.9% variance in Internet banking user continuance intention. Next to this, the predictive relevance of the research model was tested with Stone-Geisser's Q ² values using blindfolding procedure. Results revealed that the newly developed integrated technology continuance research model has substantial power to predict Internet banking user continuance intention. Moreover, the effect size analysis revealed that factors like satisfaction and user expectation were the most important factors in determining Internet banking user continuance intention.
Practical implications
For practical implications importance performance matrix analysis (IPMA) has used to see the importance and performance of the underpinned factors. Findings indicate that managers and policy makers should focus on user satisfaction, perceived usefulness and expectation confirmation in order to enhance the Internet banking user continuance intention toward the use of Internet banking services. Some of the ways banks can do this is to develop esthetic Internet banking website with charm of novelty, relevant information and smooth flows with less complex redirects.
Originality/value
Unlike prior studies that focus on Internet banking user pre-adoption issues, the current study examines post-adoption issue of Internet banking users and investigates Internet banking user continuance intention. This study is significant as it integrates two-well known theories namely TCT and TTF in Internet banking user continuance intention and augments the IS literature by developing an integrated technology continuance model (TCM).
India is attaining a high rate of adoption of telemedicine services and which is contributing towards the growth of Indian economy. Healthcare industry in India is going through a massive transformational change .Low cost driven channel for delivering health care services to the patient at their convenience and where distance is matter of concern. Government and private hospitals had started to render their health care service to the urban as well as rural community's .Digital OPD is thus leading towards a digital culture for providing health care services. However lot of issues and challenges arise regarding adoption of telemedicine services by the physicians working in different private and government hospitals. This study was made in Odisha with a sample size of 134.Technology acceptance Model (TAM) model was extended in the study with other external factors and SEM modeling was used to predict the significant factors leading to the prediction of the adoption of telemedicine services by Physician's. The TAM model is a good predictive model for the adoption of telemedicine services by the Physician's.
Extending the Technology Acceptance Model (TAM) for studying the e-learning acceptance is not a new research topic, and it has been tackled by many scholars. However, the development of a comprehensive TAM that could be able to examine the e-learning acceptance under any circumstances is regarded to be an essential research direction. To identify the most widely used external factors of the TAM concerning the e-learning acceptance, a literature review comprising of 120 significant published studies from the last twelve years was conducted. The review analysis indicated that computer self-efficacy, subjective/social norm, perceived enjoyment, system quality, information quality, content quality, accessibility, and computer playfulness were the most common external factors of TAM. Accordingly, the TAM has been extended by the aforementioned factors to examine the students acceptance of e-learning in five different universities in the United Arab of Emirates (UAE). A total of 435 students participated in the study. The results indicated that system quality, computer self-efficacy, and computer playfulness have a significant impact on perceived ease of use of e-learning system. Furthermore, information quality, perceived enjoyment, and accessibility were found to have a positive influence on perceived ease of use and perceived usefulness of e-learning system.
Introduction:
The rapid adoption of smartphones, especially in low- and middle-income countries, has opened up novel ways to deliver health care, including diagnosis and management of burns. This study was conducted to measure acceptability and to identify factors that influence health care provider's attitudes toward m-health technology for emergency care of burn patients.
Methods:
An extended version of the technology acceptance model (TAM) was used to assess the acceptability toward using m-health for burns. A questionnaire was distributed to health professionals at four hospitals in Dar Es Salaam, Tanzania. The questionnaire was based on several validated instruments and has previously been adopted for the sub-Saharan context. It measured constructs, including acceptability, usefulness, ease of use, social influences, and voluntariness. Univariate analysis was used to test our proposed hypotheses, and structural equation modeling was used to test the extended version of TAM.
Results:
In our proposed test-model based on TAM, we found a significant relationship between compatibility-usefulness and usefulness-attitudes. The univariate analysis further revealed some differences between subgroups. Almost all health professionals in our sample already use smartphones for work purposes and were positive about using smartphones for burn consultations. Despite participants perceiving the application to be easy to use, they suggested that training and ongoing support should be available. Barriers mentioned include access to wireless internet and access to hospital-provided smartphones.
This research aims as exploring and investigating potential factors influencing students’ behavioral intentions to use the e-learning system. This study proposes an extended technology acceptance model that has been tested and examined through the use of both innovation diffusion theory (IDT) and integrating technology acceptance model (TAM). This study was conducted on 1286 students utilizing systems of e-learning in Malaysia. The findings were obtained via a quantitative research method. The findings illustrate that six perceptions of innovation characteristics in particular have impacts on students' e-learning system behavioral intention. The influences of the relative advantages, observability, trialability, perceived compatibility, complexity, and perceived enjoyment on the perceived ease of use are noteworthy. Moreover, effects of the relative advantages, complexity, trialability, observability, perceived compatibility, and perceived enjoyment on the perceived usefulness have a strong impact. Therefore, the empirical results provide a strong backing to the integrative approach between TAM and IDT. The findings suggest an extended model of TAM with IDT for the acceptance of the e-learning system used to improve students learning performance, which can help decision makers in higher education, universities as well as colleges to evaluate, plan and execute the use of e-learning systems.
Purpose
The T-O-E framework enjoys robust scholarly accolade but it rarely espouses clearly task and individual factors. Although task and individual contexts had been separately addressed by task-technology-fit (TTF) and unified theory of acceptance and use of technology (UTAUT), respectively, the purpose of this paper is to complement and/or extend the T-O-E’s insights by integrating TTF and UTAUT frameworks, and developing and empirically testing a 12-factor framework that spans five contexts.
Design/methodology/approach
Survey data were proportionally collected from six groups of small service enterprises with strong operations in Port Harcourt, Nigeria and the mode of sampling was purposive and snow-ball while analysis involved logistic likelihood regression.
Findings
The relationship between adoption and the factors within the contexts of technology, organization, environment and task were statistically supported though some had negative coefficients. For individual context, social factor had a statistically significant negative coefficient but hedonistic drive was not statistically supported.
Research limitations/implications
The study is limited by its scope of coverage; therefore, extended data are needed to apply the findings to other sectors/industries and to factor in the implementation and post-adoption phases and business-to-business adoption in order to forge a more integrated and holistic adoption framework.
Practical implications
The findings encourage vendors and policy makers to place more premiums on organizational and task factors than on technological, environmental and individual factors and to craft informed marketing programs that would appeal to actual and potential adopters and cause them to progress in the loyalty ladder.
Originality/value
This paper contributes to the growing research on technology adoption; it uses factors within the T-O-E, TTF and UTAUT frameworks to explain adoption of technologies and to establish the underlying relationships amongst T-O-E factors through integrating other useful frameworks.
Technology acceptance has become one of the most significant subjects in software engineering field. Many theories and models have been proposed over the years to explain the individuals' usage behavior towards technologies. This research paper focuses on the evolution of the technology acceptance theories and models by reviewing and comparing them. This study reviews a group of ten technology acceptance theories that were analyzed and arraigned according to their chronological order of evolution. This study reveals that these theories and models are similar in their structure, but different in their explanation for the behavior and usage. It considers that the best theory should be comprehensive and less complexity according to the number of the constructs and moderators represent their structure. This will make the theory more applicable and understandable especially for studying the acceptance behavior for any new technology or information system.
Purpose
– The purpose of this paper is to provide a complete and chronological view of the evolution of the main acceptance and use of technology models, from the 1970s to the present day.
Design/methodology/approach
– A comparison of partial least squares (linear model) and WarpPLS (non-linear model) has been run for each acceptation of technology model: TRA, TAM0, TAM1, TAM2, TAM3, UTAUT, UTAUT2. The data set collects the information of mobile internet users.
Findings
– The authors have concluded that UTAUT2 model obtains a better explanation power than the rest of technology acceptance models (TAMs) in the sample of mobile internet users. Furthermore, all models have a better explanation power using non-linear relationships than the traditional linear approach.
Originality/value
– The vast majority of research published to date with regard to the Theory of Reasoned Action (TRA), the Technology Acceptance Model (TAM), and the Unified Theory of Acceptance and Use of Technology (UTAUT) are based on structural equation models assuming linear relationships between variables. The originality of this study is that it incorporates non-linear relationships and compares the same models using both approaches.
Purpose
– The purpose of this paper is to perform a systematic review of articles that have used the unified theory of acceptance and use of technology (UTAUT).
Design/methodology/approach
– The results produced in this research are based on the literature analysis of 174 existing articles on the UTAUT model. This has been performed by collecting data including demographic details, methodological details, limitations, and significance of relationships between the constructs from the available articles based on the UTAUT.
Findings
– The findings indicated that general purpose systems and specialized business systems were examined in the majority of the articles using the UTAUT. The analysis also indicated that cross-sectional approach, survey methods, and structural equation modelling analysis techniques were the most explored research methodologies whereas SPSS was found to be the largely used analysis tools. Moreover, the weight analysis of independent variables indicates that variables such as performance expectancy and behavioural intention qualified for the best predictor category. Moreover, the analysis also suggested that single subject or biased sample as the most explored limitation across all studies.
Research limitations/implications
– The search activities were centered on occurrences of keywords to avoid tracing a large number of publications where these keywords might have been used as casual words in the main text. However, we acknowledge that there may be a number of studies, which lack keywords in the title, but still focus upon UTAUT in some form.
Originality/value
– This is the first research of its type which has extensively examined the literature on the UTAUT and provided the researchers with the accumulative knowledge about the model.
Social networking media are becoming popular among students and teachers in higher education. Researchers have also started to explore the use of social networking media for teaching and learning in higher education. Social networking media have offered new opportunities for sharing, creating and interacting between students and teachers. However, to implement and adopt such technology, there is a need to investigate the factors that influence the acceptance of the students and the teachers using such technologies as a tool for learning and teaching. In this paper, a study based on the Technology Acceptance Model (TAM), which emphasizes on Perceived Ease of Use and Perceived Usefulness together with Behavior Intention to use new technologies, is used to test the factors of using social networking media for e-learning in Libyan higher education. A quantitative research method was employed utilizing survey method. Research data was collected from a sample of teachers and students from four universities in the Libyan higher educational sector. Structural Equation Modeling was carried out to examine the predictive behaviour of the proposed factors of the research model. It was discovered from the study that the Perceived Ease of Use and Perceived Usefulness are important factors for predicting a student's and teachers' behavioral intention to use social networking media for e-learning in Libyan higher education. Index Terms—Libyan higher education, social networking media, perceived ease of use, perceived usefulness, e-learning.
Complex information systems like the ERP integrate the data of all business areas within the organization. The implementation of ERP is a difficult process as it involves different types of end users. Based on literature, we proposed a conceptual framework and examined it to find the effect of some of the individual, organizational, and technological factors on the usage of ERP and its impact on the end user. The results of the analysis suggest that computer self-efficacy, organizational support, training, and compatibility have a positive influence on ERP usage which in turn has significant influence on panoptic empowerment and individual performance.
This study explains the implementation of an environmental management information system that supports the sustainability goals of Nike using the technology-organization-environment (TOE) framework of Tornatzky and Fleischer. Literature review is applied to a single firm in using the TOE framework, with particular emphasis on the technological context of the framework. The use of Nike’s firm level decision support systems is highlighted in this study. Suggestions are made about improving Nike’s Material Sustainability Index (MSI), its key sustainability tool, which is at the heart of the firm's group decision support system tool.
Recent developments in marketing and service research highlight the blurring of boundaries between firms and customers. The concept of customer engagement (CE) aggregates the multiple ways customer behaviors beyond transactions may influence the firm. However, the term is embryonic and academics and practitioners alike lack understanding on how CE contributes to value co-creation. This article marks the first attempt to conceptualize the role of customer engagement behavior (CEB) in value co-creation within a multistakeholder service system. We combine the theoretical perspectives of CE and value co-creation research to the analysis of a rich case study of a public transport service system involving consumers, communities, businesses, and governmental organizations. Our findings describe drivers for CEB, identify four types of CEB, and explore the value outcomes experienced by various stakeholders. This article proposes that CEB affects value co-creation by virtue of customers’ diverse resource contributions toward the focal firm and/other stakeholders that modify and/or augment the offering, and/or affect other stakeholders’ perceptions, preferences, expectations, or actions toward the firm or its offering. Through inducing broader resource integration, CEB makes value co-creation a system-level process. We offer nine research propositions explicating the connections CEB has to value co-creation by focal customers, the focal firm, and other stakeholders. Our research suggests that firms should focus greater attention on the resources that customers can contribute, explore the potential to engage diverse stakeholders around a common cause, and employ organically emerging systems that provide opportunities for more extensive value co-creation.
Increasingly, e-books are becoming alternatives to print books in academic libraries, thus providing opportunities to assess how well the use of e-books meets the requirements of academics. This study uses the task-technology fit (TTF) model to explore the interrelationships of e-books, the affordances offered by smart readers, the information needs of academics, and the “fit” of technology to tasks as well as performance. We propose that the adoption of e-books will be dependent on how academics perceive the fit of this new medium to the tasks they undertake as well as what added-value functionality is delivered by the information technology that delivers the content. The study used content analysis and an online survey, administered to the faculty in Medicine, Science and Engineering at the University of New South Wales, to identify the attributes of a TTF construct of e-books in academic settings. Using exploratory factor analysis, preliminary findings confirmed annotation, navigation, and output as the core dimensions of the TTF construct. The results of confirmatory factor analysis using partial least squares path modeling supported the overall TTF model in reflecting significant positive impact of task, technology, and individual characteristics on TTF for e-books in academic settings; it also confirmed significant positive impact of TTF on individuals' performance and use, and impact of using e-books on individual performance. Our research makes two contributions: the development of an e-book TTF construct and the testing of that construct in a model validating the efficacy of the TTF framework in measuring perceived fit of e-books to academic tasks.
The use of software measures for project management and software process improvement has been encouraged for many years. However, the low level of acceptance and use of software measures in practice has been a constant concern. In this paper we propose and test a model which explains and predicts the use of software measures. The model is based on the technology acceptance model (TAM) and operationalizes the perceived usefulness construct according to the “desirable properties of software measures.” Our research provides guidance for software engineers in selecting among different software measures and for software metrics coordinators who are planning measurement programs.
This paper describes an experience where the Technology Acceptance Model (TAM) has been adapted for use in the evaluation of methodological and technological innovations determined by the introduction of a new e-learning system in an Italian online university. While the original TAM allows one to assess acceptance and adoption of a new technology, in this case there was also a need to consider all the phases of use of the system (course design, running and evaluation), all the users of the system (students, teachers and e-learning management), and all the system’s components (the e-learning platform, the learning resources and mostly the underlying pedagogical approach). The resulting model, which is an extension of the original TAM, is a three-dimensional one, with three aspects to be considered on each axis (phases of use, users and components). For each of the 27 combinations of these aspects, indicators of usefulness
and ease-of-use have been identified. When available, data concerning actual use (derived from the tracking functions of the platform) and effectiveness (based on teachers’ adoption of new tools and students’ learning outcomes) have also been used to complement the data.
Information technology (IT) acceptance research has yielded many competing models, each with different sets of acceptance determinants. In this paper, we (1) review user acceptance literature and discuss eight prominent models, (2) empiri- cally compare the eight models and their exten- sions, (3) formulate a unified model that integrates elements across the eight models, and (4) empiri- cally validate the unified model. The eight models reviewed are the theory of reasoned action, the technology acceptance model, the motivational model, the theory of planned behavior, a model combining the technology acceptance model and the theory of planned behavior, the model of PC utilization, the innovation diffusion theory, and the social cognitive theory. Using data from four organizations over a six-month period with three points of measurement, the eight models ex- plained between 17 percent and 53 percent of the variance in user intentions to use information technology. Next, a unified model, called the Unified Theory of Acceptance and Use of Tech- nology (UTAUT), was formulated, with four core determinants of intention and usage, and up to four moderators of key relationships. UTAUT was then tested using the original data and found to outperform the eight individual models (adjusted
Industry predictions focus on future e-hospitals that will integrate all stakeholders into a seamless network, allowing data to be shared. The Health Level Seven (HL7) is a standard for the interchange of data within the healthcare industry. It simplifies communication interfaces and allows the interoperability among heterogeneous applications. Although the benefits of adopting HL7 are well known, only a few hospitals in Taiwan have actually adopted it. What are the reasons behind the hospitals' lack of intention to adopt HL7? Most prior studies on HL7 have focused on technical issues and general overlooked the managerial side. This has caused a lack of understanding of factors influencing hospitals' decision on HL7 adoption. In fact, main reasons behind a hospital's decision on whether to adopt an innovative technology are more often related to organizational than purely technical issues. Hence, we pay our attention to these organizational considerations over HL7 adoption. Based on the Innovation Diffusion Theory, we proposed a research model to explore the critical factors influencing Taiwan hospitals' adoption intention of HL7. 472 questionnaires were distributed to all accredited hospitals in Taiwan and 122 were returned. The valid response rate was 25.21% (119). Factor analysis, logistic regression and Pearson Chi-square test were conducted to verify the research model. The results showed that environmental pressure, top management attitude towards HL7, staff's technology capability, system integrity, and hospital's scale were critical factors influencing hospitals' intention on whether to adopt HL7. The research findings provided the government, the healthcare industry, the hospital administrators and the academia with practical and theoretical references. These factors should be considered in planning promotion plan to encourage hospital adoption of HL7. This study also opens up a new research direction as well as a new viewpoint, and consequentially improves the completeness of related researches in the medical informatics discipline.
This paper aims to examine the technology-organization-environment (TOE) predictors of Sustainable E-commerce technology adoption in SMEs of Bangladesh. The study developed a conceptual framework based on the integration of technology-organization-environment (TOE) framework. 156 quantitative survey data were collected from engaging employees from different SMEs from different parts of Bangladesh. SPSS was used in descriptive statistics, Correlation, regression and structural equation modeling approach to test and analyze the data. This study found that Perceived Relative Advantage, Compatibility, Management Support, Resource Commitment, Regulatory Forces, Competitive Forces and Economic performance in SMEs had a positive influence on the adoption of e-commerce technologies such as responsive website, e-CRM modules, e-payment, mobile app etc. All seven hypothesized relationships were supported be the study. In the context of an emerging economy, the results can be useful for practitioners and decision-makers because they will help them justify their adoption decisions and effectively contribute to strategies for sustainability.
Autonomous vehicles (AVs) are a key transportation technology of the future and will be integral to smart cities. An increased understanding of user adoption is necessary to promote AV usage. This study applied an integrated model based on innovation diffusion theory (IDT) and the technology acceptance model (TAM) to examine the factors influencing a user's behavioural intention to use AVs. Then, a questionnaire was designed, and structural equation analysis was conducted on the 274 collected survey results. Results confirmed previous research findings that perceived usefulness (PU) and perceived ease of use (PEOU) positively influence users' behavioural intention to use AVs. Moreover, the results revealed new findings that both PU and PEOU were influenced by the perceived characteristics of innovation (PCIs, i.e. relative advantage, compatibility, image, result demonstrability, visibility, and trialability). These findings contribute to theory building concerning human-computer interactions and guide policy and strategy formulation for promoting AVs.
To determine the most frequent factors that extended the Unified Theory of Acceptance and Use of Technology (UTAUT) in the context of Mobile payment (M-payment) adoption, a quantitative meta-analysis approach of 25 studies was undertaken. The results indicated that perceived risk, perceived trust, perceived cost, and self-efficacy were the most frequent factors that achieved significant results in the surveyed studies. Accordingly, this study is an attempt to extend the UTAUT model with these factors; proposing a general extended UTAUT model for M-payment adoption. The proposed model is validated using the partial least squares-structural equation modeling (PLS-SEM) approach. The data were collected from a total of 436 M-payment users in Oman. The results indicated that the best predictor of M-payment users’ intention to use the M-payment system is performance expectancy, followed by social influence, effort expectancy, perceived trust, perceived cost, and self-efficacy, respectively. Nonetheless, perceived risk was found to have an insignificant negative impact on the behavioral intention to use M-payment systems. The conclusions derived from this study enhance the understanding of the factors determining the adoption of M-payment systems in Oman.
This study proposes an e-government adoption model to determine the factors which lead to citizens’ adoption of e-government services in the Togolese context while investigating the mediating roles of perceived usefulness and perceived ease of use. The proposed model was tested using valid and reliable data gathered from a sample of 482 respondents. Findings indicate that behavioral intention to use e-government services is significantly influenced by perceived usefulness and perceived ease of use. More importantly, the analysis revealed that, perceived usefulness and perceived ease of use play a mediating role, either full or partial between the antecedent variables, social influence, trustworthiness and facilitating conditions and the outcome variable, behavioral intention to use. The implementation of e-government services with a focus on these fundamental factors will eventually increase the acceptance and adoption of such services by citizens.
This research intends to investigate factors affecting students’ behavioural intentions to use a massive open online courses (MOOCs) system. Integrating the technology acceptance model (TAM) with the innovation diffusion theory (IDT), the present research proposes an extended technology acceptance model. Testing of data collected from 1148 students using (MOOCs) system in Malaysia achieved the research objective. The findings obtained via a quantitative research method, based on analysing the results using a Structure Equation Modeling (SEM). The outcomes reveal that six views of novelty features swayed students’ a (MOOCs) scheme behavioural objective. The properties of the relative advantages, intricacy, trialability, observability, compatibility, and perceived enjoyment on the perceived ease of use are significant. Also, the effects of the relative advantages, complexity, trialability, observability, compatibility, and perceived enjoyment on the usefulness have a substantial impact. Therefore, the practical outcomes offer robust backing for the integrative method between TAM and IDT. The results recommend a prolonged model of TAM with IDT for the taking of MOOCs) system used to improve students learning performance, which can help decision makers in higher education, universities and colleges to planning, evaluating and executing the use of (MOOCs) systems.
Clearly, smartphone usage is increasing more than tablet usage, thus providing opportunities to evaluate how well the use of smartphones meets the requirements of patrons in an academic library setting. This study used the task-technology fit (TTF) model to explore the effectiveness of smartphones for interacting with online library systems, the need for smartphone support, and the “fit” of the device to tasks, as well as performance. The study used interviews and survey data to identify what are the core strengths and limitations of a smartphone construct that stimulate patrons to perform their tasks in an online library setting. Using exploratory factor analysis, preliminary findings confirmed Technology-Content, Technology-Ergonomics, Technology-Smartphone Support, Technology-Platform, and Technology-Interaction design as the core dimensions of the smartphone construct. The results of the structural model supported the overall TTF model in reflecting significant positive impact of task and technology in TTF for smartphones in a digital-library setting; it also confirmed a significant positive impact of TTF on individuals’ performance.
Online fiscal transparency is a concept to describe a government’s practice to disseminate financial information on their websites. In this research, we apply the Technology-Organization-Environment (TOE) framework to examine the determinants of online fiscal transparency in U.S. states. Using a panel dataset of all 50 U.S. states from 2010 to 2016, we find that the overall development of digital government is positively related to online fiscal transparency. We also find that short-term financial resources, as measured by the annual budget surplus, enable state government to develop better online fiscal transparency programs, while the long-term financial conditions, as measured by the accumulative fund balance, are negatively related to online fiscal transparency. Citizen’s education level, voter turnout rate, Internet infrastructure, and state legislature’s requirement to disclose financial information via Internet are all positively related to the development of transparency websites.
Purpose
Bloggers often create digital content. Diffusion of the creative articles can make many bloggers or readers visit blog platforms. Restated, diffusion of the creative articles can assist blog service providers (BSPs) to retain bloggers and attract new bloggers. Thus, the research is conducted on creative article diffusion on blogs based on innovation diffusion theory and social network theory. The paper aims to discuss this issue.
Design/methodology/approach
In this study, an information system was used to collect 250 creative articles and social network data of these creative articles. Validity of the specific study hypotheses is tested by using multi-regression analysis.
Findings
Analytical results indicate both observability and network density positively affect creative article diffusion, and ties-strength negatively affects creative article diffusion.
Research limitations/implications
Since the interpersonal interactive mechanism of blogs differs from that of social network websites, bloggers establish different social networks which may influence innovation diffusion. However, different websites may have different interpersonal interactive mechanisms. Therefore, the results of this study should not be over-generalized.
Practical implications
For diffusing information, BSPs may focus on blog articles with trackback rate below 10 percent among the friends-bloggers network and advertise these articles to make their trackback rate increase to 10-20 percent to reach the self-sustaining status. This strategy ensures the largest payoff from creative article diffusion.
Originality/value
This study contributes to the knowledge of social network and innovation diffusion on blog website and develops a model explaining how antecedents influence creative article diffusion.
The purpose of this study is to propose a unified model integrating the technology acceptance model (TAM), task fit technology (TTF) model, MOOCs features and social motivation to investigate continuance intention to use MOOCs. A sample of 252 participants in China that have already used MOOCs took part in this study. Structural equation modeling implemented via partial least squares (PLS) is conducted to test the research hypotheses. The results show that research framework for integrating the TAM for the adoption and TTF model for utility provides a more comprehensive understanding of the behaviors related to this context: (1) perceived usefulness and attitude are critical to the continuance intention to use MOOCs; (2) perceived usefulness is a significant mediator of the effects of perceived ease of use, task-technology fit, reputation, social recognition and social influence on continuance intention; (3) perceived ease of use, task-technology fit, reputation, social recognition and social influence are found to play important roles in predicting continuance intention; (4) individual-technology fit, task-technology fit, and openness affect the perceived ease of use; (5) unexpectedly, perceived ease of use and social influence have no significant effect on attitude, and individual-technology and openness do not affect perceived usefulness.
Engagement with e-portfolios has been shown to improve students’ learning. However, what influences students to accept e-portfolios is a question that needs careful study. The purpose of this study is to investigate the influence of Self-Efficacy, Subjective Norm, Enjoyment, Computer Anxiety and Experience on students’ Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of an e-portfolio system and their Behavioural Intention (BI) to use the system for learning. To do this, the study tested and used the General Extended Technology Acceptance Model for E-Learning (GETAMEL) in the context of e-portfolios. Valid data were collected from 242 UK undergraduate students who had been introduced to e-portfolios. The data set was analysed using SPSS software. Results showed that the best predictor of student’s Perceived Ease of Use of the e-portfolio is Experience, followed by Enjoyment, Self-Efficacy and Subjective Norm. The best predictor of student’s Perceived Usefulness of the e-portfolio is Perceived Ease of Use followed by Enjoyment. Both Perceived Ease of Use and Perceived Usefulness predict student’s Behavioural Intention to Use the e-portfolio. The findings improve understanding regarding acceptance of e-portfolio systems and this work is therefore of particular interest to researchers, developers and practitioners of e-portfolios.
Events of disasters on passenger ships can never be completely excluded while numbers of passengers on cruises are continuously increasing. Innovations in ubiquitous and networked computing such as wearable locating systems for passengers could enable faster muster and more efficient search for missing people. As the safety enhancement depends on the effective usage of these technologies, passengers’ acceptance is crucial, though largely unknown, and infrastructure implies high costs for shipping companies. In order to investigate passengers’ acceptance, a context-specific technology acceptance model was developed based on a literature review and qualitative interviews with passengers. The model was validated by an online survey with 2086 passengers aged between 16 and 81 years. The context-specific factors social influence, expected usefulness, trust, privacy concern, and perceived security risk explain 95% of the variance in the target variable intention to use locating systems with social influence as the strongest predictor. The context-specific factors are most determined by the passenger characteristics age and need for safety. In conclusion, the model presents insights into the relationships between passenger characteristics and context-specific factors enabling systematic interventions to increase acceptance for locating systems and, thereby, contributes to enhance safety for the occurrence of an evacuation.
Adoption of Information Technologies (ITs) is a crucial decision for the growth,
productivity, competitiveness, and even survival in a competitive market.
Organizations adopt IT innovations to sustain their competitive position as well as
to create competitive advantage. Tornatzky and Fleischer (1990) developed a
framework named TOE that comprises three key determinants that affect
organizational adoption: technology, organization, and environment. This
framework has been used successfully in the study of adoption within
organizations. Based on this framework, the purpose of this paper is to conduct a
systematic review of the literature to understand important adoption factors of
Information Technologies in organizations.
The adoption of Electronic Health Record (EHR) system is complicated. Based on extensive literature review and drawing upon two theories—social contagion theory and task technology fit theory, I argue that the adoption of EHR system is contagious among health care providers; however, the contagion effect depends on the fit between the characteristics of EHR system and the characteristics of health care providers. The statistical analysis on the responses from practitioners in various health care providers supports my argument.
Purpose
– The purpose of the study is to investigate the impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust on mobile website satisfaction.
Design/methodology/approach
– A total of 302 valid questionnaires were collected to empirically test the research model. Structural equation modeling (SEM) was performed to evaluate the reliability and validity of the measurement model and structural models.
Findings
– The results show that there is a positive relationship between PEOU, PU and mobile users’ satisfaction. PU is positively related to trust and mobile users’ satisfaction. Moreover, trust positively influences mobile users’ satisfaction.
Practical implications
– Drawing on the technology acceptance model and trust theory, this study develops and empirically examines a model for consumers’ satisfaction to use mobile services. This study contributes new insights concerning the marketing literature by examining the impact of PU, PEOU and trust on mobile users’ satisfaction.
Originality/value
– The contribution of the study is significant for both mobile marketers and academicians in the era of the third-generation environment. This study is among the first few attempts to integrate the TAM with trust to determine mobile user satisfaction.
The roles of sports journalists have been affected considerably by the influence of Twitter, but what is not known is how the social media application has been adopted across a range of sports newsrooms in different countries. Employing Rogers’ diffusion of innovations theory, this study examines how Twitter has been accepted or rejected on the sports desks of six broadsheet/quality news organisations in Australia, India and the United Kingdom. A mixed methods approach is employed, combining 36 in-depth interviews with a content analysis of 4103 print and online articles. This allows a comprehensive analysis of issues such as when and why sports journalists adopt this innovation, and how much Twitter-related content appears in the sports pages. Twitter adoption contains many benefits for individuals and their organisations, and the results from this study have implications for sports journalism in other nations at various stages of diffusion.
This paper investigates the adoption of Electronic Health Record (EHR) systems by US health providers with multiple theoretical perspectives. In particular, it argues that the fit between EHR systems and clinical activities interacts with social contagion from peer healthcare providers, which influences the valence to EHR systems of focal provider, and organizational valence finally impacts the adoption intention of focal provider. The data analysis on the surveys on practitioners supported the research model.
This paper aims to investigate the theoretical constructs involved in technological influence processes and cognitive influence processes and their influence on the acceptance of innovation especially in the mobile payment services context. We build the research model, referred to as the Mobile Payment Services Technology Acceptance Model (MPSTAM), based on an integration of Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), and Innovation Diffusion Theory (IDT). A questionnaire research is conducted to collect data and the structural equation modeling technique is used to evaluate the research model. Our findings show that (1) perceived usefulness, personal innovativeness and compatibility has direct positive influence on users' attitude towards this service, and compatibility is the most influential factors among the three; (2) perceived ease of use indirectly influences attitude by affecting perceived usefulness; (3) opportunity cost and perceived risks have direct negative effect on the acceptance of the service.
A new research area linked to ethics, virtues, and morality is servant leadership. Scholars are currently seeking publication outlets as critics debate whether this new leadership theory is significantly distinct, viable, and valuable for organizational success. The aim of this study was to identify empirical studies that explored servant leadership theory by engaging a sample population in order to assess and synthesize the mechanisms, outcomes, and impacts of servant leadership. Thus, we sought to provide an evidence-informed answer to how does servant leadership work, and how can we apply it? We conducted a systematic literature review (SLR), a methodology adopted from the medical sciences to synthesize research in a systematic, transparent, and reproducible manner. A disciplined screening process resulted in a final sample population of 39 appropriate studies. The synthesis of these empirical studies revealed: (a) there is no consensus on the definition of servant leadership; (b) servant leadership theory is being investigated across a variety of contexts, cultures, and themes; (c) researchers are using multiple measures to explore servant leadership; and (d) servant leadership is a viable leadership theory that helps organizations and improves the well-being of followers. This study contributes to the development of servant leadership theory and practice. In addition, this study contributes to the methodology for conducting SLRs in the field of management, highlighting an effective method for mapping out thematically, and viewing holistically, new research topics. We conclude by offering suggestions for future research.
Purpose:
Implementations of health information technologies are notoriously difficult, which is due to a range of inter-related technical, social and organizational factors that need to be considered. In the light of an apparent lack of empirically based integrated accounts surrounding these issues, this interpretative review aims to provide an overview and extract potentially generalizable findings across settings.
Methods:
We conducted a systematic search and critique of the empirical literature published between 1997 and 2010. In doing so, we searched a range of medical databases to identify review papers that related to the implementation and adoption of eHealth applications in organizational settings. We qualitatively synthesized this literature extracting data relating to technologies, contexts, stakeholders, and their inter-relationships.
Results:
From a total body of 121 systematic reviews, we identified 13 systematic reviews encompassing organizational issues surrounding health information technology implementations. By and large, the evidence indicates that there are a range of technical, social and organizational considerations that need to be deliberated when attempting to ensure that technological innovations are useful for both individuals and organizational processes. However, these dimensions are inter-related, requiring a careful balancing act of strategic implementation decisions in order to ensure that unintended consequences resulting from technology introduction do not pose a threat to patients.
Conclusions:
Organizational issues surrounding technology implementations in healthcare settings are crucially important, but have as yet not received adequate research attention. This may in part be due to the subjective nature of factors, but also due to a lack of coordinated efforts toward more theoretically-informed work. Our findings may be used as the basis for the development of best practice guidelines in this area.
Attempts to understand farmer conservation behavior based on quantitative socio-demographic, attitude, and awareness variables
have been largely inconclusive. In order to understand fully how farmers are making conservation decisions, 32 in-depth interviews
were conducted in the Eagle Creek watershed in central Indiana. Coding for environmental attitudes and practice adoption revealed
several dominant themes, representing multi-dimensional aspects of environmental attitudes. Farmers who were motivated by
off-farm environmental benefits and those who identified responsibilities to others (stewardship) were most likely to adopt
conservation practices. Those farmers who focused on the farm as business and were most concerned about profitability were
less likely to adopt practices. The notion of environmental stewardship in particular was found to be much more complex than
the way it is traditionally measured in quantitative studies. The interplay between on-farm and off-farm benefits to practice
adoption is an issue that quantitative studies largely do not address. This study seeks to increase understanding of farmers’
environmental attitudes and the connections to conservation behavior.
KeywordsEnvironmental attitudes–Conservation practice–BMP–Adoption–Stewardship–On-farm benefits–Off-farm benefits
A key concern in Information Systems (IS) research has been to better understand the linkage between information systems and individual performance. The research reported in this study has two primary objectives: (1) to propose a comprehensive theoretical model that incorporates valuable insights from two complementary streams of research, and (2) to empirically test the core of the model. At the heart of the new model is the assertion that for an information technology to have a positive impact on individual performance, the technology: (1) must be utilized and (2) must be a good fit with the tasks it supports. This new model is moderately supported by an analysis of data from over 600 individuals in two companies. This research highlights the importance of the fit between technologies and users' tasks in achieving individual performance impacts from information technology. It also suggests that task-technology fit when decomposed into its more detailed components, could be the basis for a strong diagnostic tool to evaluate whether information systems and services in a given organization are meeting user needs.
This systematic review of mixed methods studies focuses on factors that can facilitate or limit the implementation of information and communication technologies (ICTs) in clinical settings. Systematic searches of relevant bibliographic databases identified studies about interventions promoting ICT adoption by healthcare professionals. Content analysis was performed by two reviewers using a specific grid. One hundred and one (101) studies were included in the review. Perception of the benefits of the innovation (system usefulness) was the most common facilitating factor, followed by ease of use. Issues regarding design, technical concerns, familiarity with ICT, and time were the most frequent limiting factors identified. Our results suggest strategies that could effectively promote the successful adoption of ICT in healthcare professional practices.
7G's environmental initiative through the lens of the technology-organization-environment (TOE) framework
- R Angeles
Angeles, R., 2013. 7G's environmental initiative through the lens of the
technology-organization-environment (TOE) framework. Computer
Technology and Application, 4 (1).
The eco-system of firm technology adoption. The Palgrave Handbook of Corporate Sustainability in the Digital Era
- J K Doe
Doe, J.K., 2021. The eco-system of firm technology adoption. The Palgrave
Handbook of Corporate Sustainability in the Digital Era, Pp. 3-27.