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As technology and innovation change at extreme velocity, previous knowledge may be rendered obsolete and irrelevant in the era of the digital economy and the "Industry 4.0". In order for organizations to be financially and operationally resilient, they must embrace emerging technologies such as Mobile, Social Media, Big Data and Analytics (BD&A), t...
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... this erratic business environment, effective leadership is crucial to inspire, stimulate, and influence workforce towards executing perennial business transformation (Chepkasova & Macalintal, 2016;Gago-areces, 2017). James MacGregor Burns (1978) coined a leadership approach that is genuinely adaptable to the current business environment; transformational leadership (TL) ( Figure 5). In its ideal form, it creates valuable and positive change in the followers with the end goal of developing followers into leaders. ...
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Citations
... Also, the study found that transformational leadership plays a crucial role in influencing the overall safety performance of SMEs in the manufacturing industry in Malaysia (Zulkifly et al., 2023). Meanwhile, in a study by Baharuden et al. (2019), transformational leadership was applied as a moderator variable to examine the factors influencing Big Data and Analytics (BD&A) learning intentions among Malaysian SME executives. ...
This paper explores the relevancy of transformational and servant leadership styles in Small and Medium Enterprises (SMEs) in Malaysia. The topic of leadership has been studied extensively throughout the years, with various leadership theories have been proposed. Previous studies have also highlighted on how leadership style is crucial in influencing the performance of an organization. Moreover, these two well-known leadership styles are believed to sit well with the concepts and strategies practiced among SMEs in this country. This study seeks to offer literature and practical insights into why these two styles of leadership are relevant and practical for the distinctive circumstances of Malaysian SMEs. Therefore, the researcher concluded with a rationale that applying the right and suitable leadership styles will influence the performance and success of Malaysian SMEs in the future.
... A common reason to this is due to the high resources and time investment required for adopting big data technologies [4]. Besides that, maintaining big data capabilities requires a large pool of highly skilled workers, which smaller companies such as SMEs and startups do not have the financial resources to invest in [5]. There are several studies [6]- [12] conducted to study the factors and challenges influencing the adoption of big data technologies. ...
Big data has played an ever-increasing role in various sectors of the economy. Despite the availability of big data technologies, many companies and organizations in Malaysia remain reluctant to adopt them. Numerous studies have been published on big data adoption; however, there is a lack of research focusing on identifying the challenges faced by Malaysian organizations. Therefore, this study will implement the technology-organization-environment (TOE) framework to examine the challenges faced by Malaysian organizations with regards to big data adoption. A systematic literature review (SLR) was conducted to examine the challenges. From the result of this study, it was found that the factors from technology context are deemed to be the major challenge faced in big data adoption followed by organization and environment factors. Furthermore, the insights derived from the TOE framework-based information can help address concerns that hinder big data adoption among organizations in Malaysia. Finally, this study concludes with several recommendations.
... This topic becomes therefore the focus of numerous research studies (Soroka et.al. 2017;O'Connor and Kelly, 2017;Ajimoko, 2018;Del Vecchio, et al.2018;Baharuden et al., 2019;Moonen, et.al., 2019;Maroufkhani et al., 2020;Chatterjee, et al., 2022). Named analytics provide SMEs with valuable insights that can help them make better decisions and improve their operations. ...
... BDA allows them to understand in-depth the customers' patterns and ultimately leads them toward valueadded decision-making (Br€ unink, 2016;Mcafee and Brynjolfsson, 2012;Mikalef et al., 2019;Mills, 2018). The PE is considered a strong predictor of BI among other external antecedents (Baharuden et al., 2019;Bawack and Kala Kamdjoug, 2018;Chauhan and Jaiswal, 2016;Guo and Barnes, 2012;Kim et al., 2007;Mutahar et al., 2018). ...
... UTAUT Conceptual Model organization environment (TOE) and UTAUT(Al-Rahmi et al., 2019;Baharuden et al., 2019; Bhat, 2018a, b;Br€ unink, 2016;Cabrera-Sanchez and Villarejo-Ramos, 2019;Chen et al., 2020;Haddad et al., 2018;Hamad et al., 2020;Maroufkhani et al., 2020;Raguseo, 2018;Shahbaz et al., 2021;Shorfuzzaman et al., 2019;Verma et al., 2018aVerma et al., , 2018b. ...
Abstract
Purpose – This paper aims to measure the adoption of big data analytics (BDA) to achieve sustainability in
services being offered in university libraries in Pakistan.
Design/methodology/approach – The study applied a unified theory of acceptance and use of technology
(UTAUT) as a framework and used quantitative data collection and analysis method. In total, 246 university
library professionals were surveyed using a questionnaire consisting of UTAUT factors. The gathered data
were analyzed using partial least structural equation modeling (PLS-SEM).
Findings – The results showed that performance expectancy (PE), effort expectancy (EE) and social influence
(SI) significantly impacted the behavioral intention (BI) to adopt BDA. Facilitating conditions (FCs) have a
statistically significant influence on the adoption of big data in libraries, while BDA has a statistical influence
on the sustainability of library services (SLS).
Practical implications – BDA assists libraries in making better decisions about demand-driven collection
creation, library space management, usage tracking, and quality maintenance in routine and repetitive library
tasks such as cataloging, indexing, archiving, administration, preservation and representation. BDA supports
libraries in making more cost-effective, innovative, user-oriented services, resource transferring, social identity,
resource utilization, healthier user experience, strategic planning, informed decision-making and state-of-theart
infrastructure.
Originality/value – The foundation of this study is based on information gathered from various sources and
university libraries in Punjab to better understand the challenges associated with using BDA for the SLS in
Pakistan.
Keywords Big data analytics, Services sustainability, Academic libraries, Structural equation
modeling, UTAUT
... AI technologies rapidly expand in many sectors as organisations want to enhance business performances and beyond (Ranjan, 2009;Shin & Hwang, 2022). Several factors influence the intention to use AI and big data analytics (Baharuden et al., 2019). The perception of AI enhancing the efficiency and effectiveness of work, as well as a positive and longer-term outlook on AI's future about human labour, as an assistant or a competitor, the perception of the technology's ultimate harm or benefit (does it harm or benefit humanity), and its ability to eventually make ethical and moral judgments, all influenced individuals' willingness to support AI technologies (Ahn & Chen, 2022). ...
This study explains the essentials of artificial intelligence (AI) in big data analytics for the agriculture industry during the COVID-19 pandemic. The systematic review approach was employed for the documentary and analysed using content analysis. In addition, the literature and previous studies were obtained from various research articles on EBSCO, Google Scholar, Scopus, Web of Science, and ScienceDirect. The criteria for inclusion were studies that were related to AI in big data analytics for agriculture, were published in English, and were peer-reviewed. Five independent reviewers assessed search results, extracted data, and evaluated the studies' quality to summarise and report the findings. The results reveal that the COVID-19 pandemic has increased the utility of AI in big data for agricultural business operations. For instance, AI-enabled supply chain management enables businesses to accurately predict demand spikes and decreases and adjust material volumes and routes. AI can collect more extensive data, which can assist the production team in predicting more accurate delivery times and inventory adjustments. Adaptability, high performance, precision, and cost-effectiveness are the central concepts of AI in agriculture. AI agriculture applications include soil, crop, weed, and disease management. The direct application of AI throughout the agricultural sector could represent a paradigm shift in agricultural practices. AI-powered farming solutions enable farmers to accomplish more with fewer resources, enhance crop quality, and guarantee a rapid GTM (go-to-market) crop strategy. Thus, AI adoption is based on the TAM model's perceived ease of use, usefulness, and social influence. The recommendation is to research qualitative and quantitative approaches for further study and clarification of the essence of AI in the agriculture industry.
... As stated earlier, digital transformation is omnipresent (Voß & Pawlowski, 2019). Companies such as Kodak, Blackberry, and Nokia, which were once dominant companies in the industry, were soon replaced by companies such as Amazon, Uber, Netflix, and Google because the latter embraced newer technologies of the digitalization age (Baharuden et al., 2019). To keep up with the changing external environment, it is important for firms to continuously upgrade their capabilities and embrace the emerging trends such as digitalization (Baharuden et al., 2019). ...
... Companies such as Kodak, Blackberry, and Nokia, which were once dominant companies in the industry, were soon replaced by companies such as Amazon, Uber, Netflix, and Google because the latter embraced newer technologies of the digitalization age (Baharuden et al., 2019). To keep up with the changing external environment, it is important for firms to continuously upgrade their capabilities and embrace the emerging trends such as digitalization (Baharuden et al., 2019). ...
The world is witnessing a rise in the game-changing service-based platforms; hence, a research-based case study on Urban Company (UC), the fastest-growing Indian start-up, has been developed using secondary sources of information. UC provides a platform for different services ranging from plumbing, electrical, cleaning to yoga, etc., and acts as a mobile marketplace. The company maintains a record of its service providers (also known as partners) and presents the list of such providers to the customers on its mobile app. This case study explores the different HR practices of the company for its full-time employees versus partners to highlight the differences in benefits available to the UC’s contract workers vis-à-vis permanent workers; also, the case discusses why and how the company might assign the status of a full-time employee to its partners. The study suggests that for sustaining its competitive position in the long run UC needs to maintain a balance between providing excellence in service and receiving continuous support of a trusted pool of professionals through providing “employee status” to its partners.
... As stated earlier, digital transformation is omnipresent (Voß & Pawlowski, 2019). Companies such as Kodak, Blackberry, and Nokia, which were once dominant companies in the industry, were soon replaced by companies such as Amazon, Uber, Netflix, and Google because the latter embraced newer technologies of the digitalization age (Baharuden et al., 2019). To keep up with the changing external environment, it is important for firms to continuously upgrade their capabilities and embrace the emerging trends such as digitalization (Baharuden et al., 2019). ...
... Companies such as Kodak, Blackberry, and Nokia, which were once dominant companies in the industry, were soon replaced by companies such as Amazon, Uber, Netflix, and Google because the latter embraced newer technologies of the digitalization age (Baharuden et al., 2019). To keep up with the changing external environment, it is important for firms to continuously upgrade their capabilities and embrace the emerging trends such as digitalization (Baharuden et al., 2019). ...
The chapter has focussed on the opportunities and challenges linked to the gig economy and conditions of working for the gig workers. With the passage of time, more gig working is being added to various industries as flexible working, ad hoc employment and part-time working have become a norm. For many of the sectors, gig working has been a norm and would continue to be so like ride sharing, retails store and also food delivery service. But on the same front, many unethical work practices are associated with gig working as the interest of the workers is compromised. These lead to many kinds of unethical practices, job insecurity, no proper wages and pay, poor leave policy and lack of well-being benefits of being treated as actual full-time employees. Many such cases of USA, UK and India-based companies have been analysed for the same analysis that would help in better management of gig workers in the future. It has also been highlighted that it is the responsibility of the companies to adopt more ethical and sustainable work practices that help the gig economy develop along with being counted as core work force.
... Big Data & Analytics (BD&A) has been a phenomenon as it creates new model of decision support that enable organizations to extract and store data not only from internal systems but also with external data sources such as social media platform sites, online news, blogs, web contents, data generated from interconnected devices known as the internet of things (IoT), and other external traditional and modern databases (Baharuden, Isaac & Ameen, 2019). ...
Data Analytics has been considered as a promising topic. This paper aims to review the trends of Data Analytics in terms of related publications. More specifically, in this study we analysed 18-years real-world data obtained from Web of Science database for the purpose. These data include the first relevant publication found in the database. In total, 18610 relevant publications have been identified during 2004 to 2021. According to the findings from analysing the identified publications, we suggest that Data Analytics is a glowing global topic involving affiliations and funding sponsors from different countries. On top of the industrial voice saying Data Analytics is an emerging topic, the findings from this paper can provide an additional reference for the education sector, government, and academia, to conduct, promote and support the Data Analytics related research. We believe this is the first time that a study has been conducted to comprehensively review the development trends of Data Analytics. Hopefully, this study can shed some light on related research.
... Overall, individual-focused TFL and developmental culture exert a synergistic effect on service innovative behaviour. Baharuden et al. (2019) have reported that TFL fortifies the effectiveness of performance expectancy on learning intention, partially supporting the argument that individual-focused TFL strengthens the effectiveness of developmental culture on service innovative behaviour. Hence, we hypothesise: ...
Hospitality organisations rely on service innovation simultaneously at the team and individual levels to improve service quality. Nevertheless, mechanisms underlying this dual-level service innovation have rarely been investigated. This study aims to develop a multilevel model of the mediating and moderating mechanisms behind the relationship between developmental culture and service innovation at both the team and individual levels. Dyadic data were collected from 58 team leaders and their 442 employees from 31 hospitality organisations in Zhengzhou, China. Multilevel structural equation modelling (MSEM) was utilised to validate the model. Results showed that developmental culture enhanced both team service innovation and service innovative behaviour. Creative self-efficacy and creative role identity partially mediated the relationship between developmental culture and service innovative behaviour. Team-focused transformational leadership (TFL) strengthened the effectiveness of developmental culture on team service innovation under higher but not lower levels of team-focused TFL. Based on the research findings, this study advances the culture-innovation research stream in the hospitality management literature by identifying the direct relationship between developmental culture and service innovation at the team and individual levels and revealing the mediating and moderating mechanisms underlying this culture-innovation link. This study also provides practitioners with practical insights into how to enhance team and employee service innovative endeavours through building developmental culture and adopting team-focused TFL behaviours in hospitality organisations.
... Research has always examined the linkage between a firm's resources or capabilities, and its performance . Recently, many studies have diverted their attention to BDAC and demonstrated that BDAC and firm performance have a significant relationship (Baharuden, Isaac, and Ameen 2019;). However, not all firms have gained substantial returns after making large investments in BDA . ...
... A high level of BDAC, as a bundle of resources/capabilities, rationally enhances firm performance (Baharuden et al. 2019;. Akter et al. (2016); and discovered that a bundle of resources or capabilities, such as data, technology, technical skills, managerial skills, the intensity of organisational learning, and data-driven culture, can help a firm build a BDAC intelligently, and consequently, achieve greater firm performance. ...
