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Structural equation modeling in practice: A review and recommended two-step approach.

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Abstract

In this article, we provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development. We present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests. We discuss the comparative advantages of this approach over a one-step approach. Considerations in specification, assessment of fit, and respecification of measurement models using confirmatory factor analysis are reviewed. As background to the two-step approach, the distinction between exploratory and confirmatory analysis, the distinction between complementary approaches for theory testing versus predictive application, and some developments in estimation methods also are discussed.

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... To evaluate the theoretical model presented in Figure 1, the study first established the psychometric properties of the scales used to measure the three latent constructs (TLB, OCB, and OP). To accomplish this, several tests were conducted to establish the reliability, inter-item and inter-scale correlations, confirmatory factor analysis (Anderson and Gerbing 1988), and convergent validity. Multiple fit criteria were employed for the confirmatory factor analysis to assess the appropriateness of the measurement models tested (Bollen and Long 1993;Hair et al. 1995). ...
... To evaluate convergent validity, the researchers reviewed the significance level of the factor loadings. If each item's factor loadings are significant, the indicators effectively measure the same construct (Anderson and Gerbing, 1988), indicating a unidimensional scale. Confirmatory Factor Analyses (CFAs) indicated that each of the three constructs demonstrated a good fit, with TLB Leader: χ 2 = 0.99, p = 0.61, df = 2, RMSEA = 0.00, RMSR = 0.001, CFI = 1.00, ...
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The study utilizes a direct-indirect effects model to examine the connections among Transformational Leadership Behaviors (TLB), Organizational Citizenship Behaviors (OCB), and Organizational Performance (OP) within the public sector. TLB data were collected from leaders and followers, allowing for comparison between leader-perception and follower-perception models. A survey methodology involved 1,364 participants from U.S. county government executives and followers, analyzed using structural equation modeling. It aims to bridge gaps in the literature by integrating TLB, OCB, and organizational-level performance into one model, providing nuanced insights into their interactions. Findings support TLB’s positive impact on OCB and OP and OCB’s positive influence on OP. Differences in leader and follower perceptions highlight the need for comprehensive evaluation. The study addresses the limitations of prior research by considering both leader and follower perspectives, contributing to understanding leadership’s role in organizational performance. Practically, it suggests strategies for enhancing performance through TLB fostering, OCB encouragement, and creating supportive work environments. Its originality lies in its holistic examination of TLB, OCB, and OP, offering valuable insights into the public sector and organizational practices.
... Además, se midió la validez discriminante del modelo teórico de RA, EI y DS mediante dos pruebas, las cuales se presentan en la Tabla 3. En primer lugar, se presenta la prueba del intervalo de confianza. (Anderson y Gerbing, 1988), que establece que con un intervalo de confianza del 95 %, ninguno de ...
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... Furthermore, we requested assistance from the directorates of student affairs at the respective institutions in determining the target participants. We accompanied the recommendations offered by different scholars, such as those who recommended: "every item must be represented employing five samples," that "samples of three hundred shall be regarded as appropriate," who suggested that "the size of it ought to be twenty times bigger than the expected factors," and who suggested that "N = 100-150" is adequate for conducting SEM (Anderson and Gerbing, 1988). Based on these scholars' suggestions and the usual response percentage, we selected a sample size of 467 out of 355 that were found legitimate (response percentage of 76%). ...
... We used Analysis of moment structures 25.0 to asses study hypotheses utilizing structural equation modeling (Shaffer et al., 2016). We used the two-step SEM technique Anderson and Gerbing (1988) recommended, beginning with CFA, to guarantee model adequacy. After that, an ultimate theoretical model was evaluated to evaluate the connections among every variable. ...
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... To determine the convergent validity, CFA was used (Anderson and Gerbing, 1988 Table 3, where each item's standardized loads have been determined to be bigger than 0.5 and significant. The appropriate levels of χ2/DF and other fit indices have been discovered (Civelek, 2018). ...
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... Significant correlations between items and factors were determined by loadings exceeding 0.4, leading to the identification of 12 items categorized into three primary domains (Assessment of Western values, Adoption of Western values, and Perceived Challenges of Western values), explaining 73% of the observed variation. Subsequently, structural equation modeling (SEM), following 15 approach, was applied to thoroughly examine the measurement and structural models, ensuring questionnaire validity and reliability. CFA initially developed the measurement model, followed by SEM to scrutinize causal links across constructs and test the structural model. ...
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This study delved into the dynamics of perceived challenges, adoption, and assessment of Western values of democracy and human rights among university students in Palestine, particularly in the aftermath of the 2023 War on Gaza. A mixed-methods strategy was used in the research, with a participant pool of 384 students representing a range of demographics. By exploring the impact of geopolitical events, the results revealed a positive link between perceived challenges and the assessment of Western values. Although there is a notable gender and geographic difference in the assessment and adoption of Western values, females and those living in cities and villages are shown to have greater perceived challenges with these values. The qualitative component, including interviews with 12 students, provided valuable insights into the postwar evolution of Palestinian perspectives, highlighting a notable shift in attitudes, initially characterized by belief in the superiority of Western values, followed by a decline in faith during the war. This decline is attributed to traumatic events, biased media narratives, and the contradiction between idealized standards and harsh realities. In conclusion, the study emphasizes the need for a comprehensive understanding of the multifaceted influences on Palestinian perceptions of Western values.
... All the calculations for the hypothesized model were performed with the support of SPSS v27 and AMOS v26 through a two-step analytic approach (Anderson and Gerbing, 1988). More instrumentally, the instrument substantiation was carried out through assessing the construct validity and reliability by means of Cronbach's alpha, exploratory factor analysis (EFA) with the support of SPSS v27, and confirmatory factor analysis (CFA) with the support of AMOS v26. ...
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Purpose This study aims to measure the integrated impact of big data analytics and artificial intelligence (BDA-AI) adoption by using the ChatGPT generative AI online platform as a BDA-AI tool on the operational and environmental performance. Design/methodology/approach This study considers Taiwanese professionals who engage with ChatGPT; the sample consists of 388 online users. Findings This study’s main finding is that the considered antecedents – including technological, organizational and environmental contexts, tangible resources and workforce skills – are significantly associated with BDA-AI adoption. Notably, BDA-AI adoption exhibits a significant relationship with operational performance, environmental performance and environmental process integration. Moreover, environmental process integration is significantly correlated with environmental performance. Lastly, operational performance is significantly correlated with environmental performance. Originality/value This study contributes to the heavily lacking but developing literature on the antecedents and consequences of BDA-AI adoption. Its theoretical foundation consists of the technological-organizational-environmental model, Roger’s diffusion of innovation theory and resource-based view theory.
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Teacher continuity is one of the prerequisites for a school to fulfill expected organizational roles. Various organizational problems, notably low academic achievement, are observed at schools where personnel turnover is high. Therefore, it is necessary to disclose the teachers' turnover intention drivers. Though they are limited in number, previous studies have revealed that collective teacher efficacy is one of the critical factors influencing turnover intention. However, researchers have yet to focus on the holistic effects of collective teacher efficacy and organizational commitment on turnover intention. Therefore, the current study aims to test the innovative model developed to explore the direct and indirect relations among collective teacher efficacy, organizational commitment, and turnover intention. The data were collected from 607 teachers working in public high schools in 12 different regions of Turkey using a stratified sampling technique. The collective teacher efficacy, organizational commitment, and turnover intention scales were used as data collection tools. Structural equation modeling was used to analyze the data. As a result of the analyses, it was found that collective teacher efficacy was negatively related to teachers' turnover intentions. The results of the analysis confirm that organizational commitment is an essential mediator between collective teacher efficacy and turnover intention. Strengthening collective teacher efficacy in schools is vital to reduce teachers' turnover intentions. In addition, increasing organizational commitment will positively reduce teachers' turnover intentions. The current study is expected to contribute to research focusing on the effects of collective teacher efficacy on teachers' turnover intentions.
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Across the globe and particularly in the developing country settings, there has been an upsurge of interests from businesses, academics and policy-makers alike in understanding the relationship between corporate board characteristics and governance practices of State-Owned Enterprises (SOEs). This understanding especially in post-pandemic era would aid in formulating best policies for optimal performance of the SOEs. The aim of this study was to investigate the influence of board characteristics on corporate governance practices in SOEs in Ghana. Utilizing a structured questionnaire, data was collected from employees across various SOEs and analysed through Smart-PLS structural equation modelling. The findings indicate that board demographic characteristics have a significantly positive impact on governance practices, underscoring the importance of diversity in board composition. This outcome highlights the need for SOE policymakers to prioritize board diversity to enhance governance efficacy. This research enriches the literature on corporate governance in the developing country context and has practical implications for enhancing SOE management and performance. It also provides a foundation for future research to explore the dynamics of board characteristics in different contexts.
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Job anxiety has long been seen as a major factor affecting employees' job performance. The reasons and processes by which affective commitment and work engagement impact employee creativity can be studied through the lens of ego depletion theory. In this study, we surveyed employees in a theme park and applied structural equation modeling to analyze the survey data. Our observations suggested that the decline in employee creativity due to job anxiety was possibly the result of low affective commitment and work engagement, with work engagement being a key mediating factor. The development of emotional ego depletion in service industry employees after experiencing job anxiety could explain our observations. Emotional depletion not only affects employees' work attitudes and emotional expressions but also reduces their motivation for creativity.
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Purpose The aim of this model is to determine the residents’ welcoming attitudes towards tourists through place personality, place attachment and self-congruity amidst Covid-19 Pandemic. Design/methodology/approach A series of Exploratory Factor Analysis (EFA) was applied to the variables. Then, First Level Confirmatory Factor Analysis (CFA) was performed, and the reliability and validity of the variables were evaluated. Following CFA, Structural Equation Modeling was performed with the remaining variables Findings Results show that the sincerity (21%) and excitement (32%) affect the residents’ welcoming attitude through self-congruity and place attachment; and the competence (21%) directly affects the welcoming attitude. While place attachment (11%) directly affects the welcoming attitudes, self-congruity (53%) indirectly affects the welcoming attitudes. Also, self- congruity affects the welcoming attitude through place attachment. Another significant result is the strong effect (45%) of self-congruity on place attachment. Originality/value Some studies revealed locals adopted a negative attitude towards tourists during the pandemic while others indicated locals adopted positive attitudes towards tourists. Within this context this study, as addressing this controversial issue contribute to the development of more sustainable plans and policies by destination management organizations.
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Purpose With the widespread penetration of digital technologies, disruptive innovation is not developed by a single firm but is increasingly achieved by an ecosystem. However, limited research has examined the mechanisms involved in achieving disruptive innovation in the context of digitalization and ecosystems. To address this gap, we explore the impact of three dimensions of specialized complementary assets (SCAs) within the innovation ecosystem, human capital SCA (HCSCA), production SCA (PSCA) and marketing SCA (MSCA), on disruptive innovation in core firms through the mediation of digital capability, comprising digital operation capability (DOC) and digital resource collaborative capability (DRCC). Furthermore, innovation ecosystem embeddedness is examined as a moderator between digital capability and disruptive innovation. Design/methodology/approach Survey data were collected from 234 core firms in China’s high-tech industry. Hierarchical regression, AMOS, and PROCESS tools were used to examine the data. Findings The results reveal the following: (1) HCSCA and PSCA positively affect disruptive innovation, while MSCA is negatively correlated with disruptive innovation. (2) Digital capability mediates the relationship between HCSCA and disruptive innovation, as well as PSCA and disruptive innovation. However, it suppresses the negative impact of MSCA on disruptive innovation. (3) Innovation ecosystem embeddedness strengthens the influence of DOC on disruptive innovation, but weakens the influence of DRCC on disruptive innovation. Originality/value The findings advance the knowledge of disruptive innovation, SCAs within the innovation ecosystem, digital capability and innovation ecosystem embeddedness. They also provide practical insights into the effective implementation of disruptive innovation.
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Purpose This study examines how formal retail formats (FRFs), and informal retail formats (IRFs) may coexist as substitutes and complements in emerging markets because of store patronage driven by customers’ chronic shopping orientations, and differences in salesperson consultation in the two retail formats. Design/methodology/approach Using a shopping motivational orientation framework, we develop and test a moderated mediation model using survey data from 515 shoppers of formal and informal grocery retail outlets in India. Findings While task-focused and experiential-focused shopping orientations influence both FRF and IRF patronage, store satisfaction mediates these relationships and crucially attenuates the negative impact of task-focused orientation on FRF patronage. Salesperson consultation moderates the mediating effects of satisfaction in the link between shopping orientation and patronage of both FRFs and IRFs. Research limitations/implications The findings suggest that FRFs and IRFs could coexist as complements and substitutes when patronage is examined as repeated visits determined by shopping orientation, mediated by satisfaction and moderated by salesperson consultation. Practical implications For FRFs and IRFs to be complements, both formats must prioritize their distinctive attributes that satisfy a consumer's chronic shopping orientation. Substitution depends on how both retail formats prioritize salesperson consultation and in-store characteristics that appeal to consumers’ chronic orientation during specific shopping trips. Originality/value Whilst FRFs must satisfy task-focused shoppers to compete with IRFs, salesperson consultation can inhibit such satisfaction. However, the extent of coexistence between FRFs and IRFs depends on how each format leverages salesperson consultation to enhance satisfaction of experiential-focused shoppers.
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The COVID-19 pandemic has heightened public awareness regarding the importance of health insurance. Several factors influencing the choice of an insurance brand include the plan value, agent characteristics, referrals, and consumer trust. Over the past five years, the use of influencers has expanded as they are believed to influence consumer intentions to purchase insurance services. Primary data was collected through a survey of 181 respondents who did not have an insurance policy but had seen the content of the insurance company’s marketing communications presented by influencers. Using SEM-PLS to analyze the primary data, the study found that agent characteristics and influencer credibility directly affect an insurance brand’s consumer trust and purchase intention. Meanwhile, referrals have a significant direct effect on consumer trust but not directly on purchase intention. Conversely, the plan value offered by insurance companies directly affects purchase intention but has no direct influence on consumer trust. Despite finding that consumer trust was insignificant in mediating the effect of referrals, agent characteristics, plan values, and influencer credibility on purchase intention, this study validates the role of agent characteristics, plan values, and influencer credibility in influencing consumer’s intention to purchase insurance products.
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Objetivo: evaluar cómo se percibe la calidad del servicio en los principales atractivos turísticos rurales de Villa de Leyva, Colombia, con el fin de proponer mejoras en su prestación. Diseño/metodología: se llevó a cabo un estudio utilizando una encuesta por muestreo con 384 turistas, cuyos resultados se derivan de un análisis factorial exploratorio, para luego implementar un plan de mejoramiento a la calidad del servicio turístico. Resultados: se obtuvo un modelo con resultados confiables y válidos de tres factores: seguridad y confiabilidad; apariencia física y atención; empatía y disposición, que explican el 64.2­ % de la calidad percibida acumulada del servicio. Se encontró que al menos el 31.5­ % de los encuestados clasifican el servicio como muy bueno en los tres factores del modelo; sin embargo, el 68.5­ % de los encuestados, concentrados en el segundo factor, valoraron la calidad del servicio con un nivel inferior a buena. Conclusiones: el desconocimiento de la calidad de la prestación del servicio, así como la ausencia de control al momento de brindarlo, son dos debilidades que presentan los atractivos turísticos de Villa de Leyva. Por lo tanto, este estudio infiere que la calidad del servicio en los atractivos analizados se puede modelar bajo un constructo multidimensional con tres componentes principales: seguridad y confiabilidad; apariencia física y atención; y empatía y disposición. Originalidad: el estudio evalúa la calidad percibida del servicio en atractivos turísticos rurales de Villa de Leyva, Colombia. Asimismo, se propone un plan para para mejorar la calidad del servicio ofrecido a los vacacionistas desde los atractivos turísticos.
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Purpose Co-creation of services (CCOS) is a collaborative strategy that emphasises customer involvement and their expertise to increase the value of the service experience. In the service ecosystem, artificial intelligence (AI) plays a key role in value co-creation. Therefore, this study is undertaken to empirically uncover how AI can empower CCOS. Design/methodology/approach The source data were collected from 305 service provider respondents and quantitative methodology was applied for data analysis. Findings New service development augmented with AI provides tangible value to service providers while also providing intangible value to supportive customers. With AI, service providers adapt to new innovations and enrich additional information, which eventually outperforms human-created services. Research limitations/implications AI adoption for CCOS empowerment in service businesses brings “service-market fit”, which represents the significant benefits wherein customers contribute to creativity, intuition, and contextual awareness of services, and AI contributes to large-scale service-related analysis by handling volumes of data, service personalisation, and more time to focus on challenging problems of the market. Originality/value This study presents theoretical concepts on AI-empowered CCOS, AI technological innovativeness, customer participation in human-AI interaction, AI-powered customer expertise, and perceived benefits in CCOS, and subsequently discusses the CCOS empowerment framework. Then, it proposes a novel conceptual model based on the theoretical concepts and empirically measures and validates the intention to adopt AI for CCOS empowerment. Overall, the study contributes to novel insight on empowering service co-creation with AI.
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The textile sector has become a significant source of pollution due to increasing carbon emissions, heightened greenhouse gas emissions, and growing landfill contributions. In response, the industry is turning towards sustainable fashion, which is gaining popularity as an eco-friendly practice. This study utilized the theory of planned behavior (TPB) alongside variables such as environmental concern, personal moral norms, and perceived consumer effectiveness to predict eco-friendly apparel purchasing intentions among educated Indian youth. The research applied variance-based partial least squares structural equation modeling (PLS-SEM) to assess the proposed model. Results revealed that perceived behavioral control significantly and positively impacts purchasing intentions, followed by personal moral norms, general attitude, and perceived consumer effectiveness. Environmental concern was shown to indirectly influence purchasing intentions via the primary TPB variables and personal moral norms. Additionally, multi-group analysis (MGA) was used to investigate the moderating effects of perceived consumer effectiveness on the attitude-intention relationship, finding that individuals with higher perceived effectiveness displayed a more consistent attitude-intention correlation compared to those with lower perceived effectiveness. This study offers valuable insights for professionals and policymakers, suggesting the development of tailored sustainable marketing strategies and policies to address local market conditions.
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Purpose Although small businesses are important to the economy, few studies have examined how the small restaurant experience influences customer behavior. Thus, the purpose of this study is to develop a model and examine the influence of small restaurant attributes (i.e. authenticity) on customers’ positive attitudes and behavior. Design/methodology/approach Using 181 responses from customers of small restaurants, this study examines how the dimensions of authenticity (i.e. continuity, credibility, integrity, and symbolism) affect customers’ positive behavioral intentions through emotional attachment. Findings The results of partial least squared–structural equation modeling demonstrate that customer perceptions of symbolism, credibility, and integrity in their experience at a small restaurant influence their attachment, which in turn influences both their word of mouth and revisit intentions. However, continuity has no significant effect on customers’ emotional attachment to service providers. Also, the effects of authenticity on customer behavior vary across demographic categories. Originality/value With increasing competition in the small business context, service providers seek to understand how to create positive customer patronization behavior. This study provides guidelines for small business owners who are developing marketing strategies.
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Purpose The current work aims to understand the consumers’ adoption of electric vehicles (two-wheelers) from their value perspective by utilizing the value-based adoption model. Design/methodology/approach The study considered data from 302 potential electric two-wheeler customers and tested the hypotheses using structural equation modeling. Findings The outcomes showed that perceived economic benefits, social image, enjoyable acceleration and enhanced fun and perceived environment (positively) and perceived physical safety risk, perceived cost of ownership and range and charging risk (negatively) influenced the customers’ perceived value linked with electric two-wheeler (ETW) adoption. Only low engine noise emission and infrastructure issues did not affect perceived value. Research limitations/implications Most of the respondents considered in the study were less than 35 years old. Hence, the model can be tested for other age groups. Practical implications The study’s outcomes will help ETW marketers, manufacturing companies and governments (state and central) to provide a more convenient environment for electric two-wheelers' adoption and help them curate appropriate strategies. Originality/value The current work offers a better understanding of potential customers' ETW adoption by employing a value-based trade-off.
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Objective: The overarching objective of this study is to identify the salient factors within social networks, specifically Facebook, TikTok, Instagram, and YouTube, and their impact on tourists' decision-making processes in selecting Ho Chi Minh City as a destination. Subsequently, we offer managerial recommendations aimed at aiding tourism enterprises in Vietnam to enhance their understanding of the social network components that positively influence tourists' choices to visit. Furthermore, we suggest potential avenues for performance enhancement to optimize advertising effectiveness across social media platforms, including Facebook, TikTok, Instagram, and YouTube. Theoretical Framework: To date, numerous international research endeavors have scrutinized the determinants within social networks that shape tourists' intentions and decision-making processes regarding travel destination selection. However, within the Vietnamese context, scholarly investigations have predominantly centered on factors such as pricing, destination imagery, quality, and allure, while neglecting to explore the influence of social network factors on tourists' decisions regarding destination selection in Ho Chi Minh City. Consequently, the thematic focus on "Factors of Social Networks Influencing Tourists' Destination Selection Decisions in Ho Chi Minh City" represents an evolutionary progression from antecedent research studies, albeit purposefully tailored and refined by the researcher to align with their specific research aims. Method: The quantitative data gathered aimed to systematically examine and comprehend tourists' behaviors in their decision-making processes regarding destination selections facilitated by social media platforms. Employing an online survey hosted on Google Forms facilitated the data collection endeavor. The survey instrument featured a Likert scale spanning from 1 to 5, encompassing response categories delineated as follows: (1) Strongly Disagree, (2) Disagree, (3) Neutral, (4) Agree, and (5) Strongly Agree. Results and Discussion: Following the regression model analysis conducted on a dataset comprising 307 survey samples, the researcher observed the rejection of one initial research hypothesis, denoted as H1, while five subsequent hypotheses, namely H2, H3, H4, H5, and H6, were accepted. This determination was made based on the statistical significance values (Sig.) obtained from the t-test results presented in Table 4.19. Notably, factors with Sig. > 0.05 were deemed lacking in statistical significance, indicating a negligible influence on the dependent variable. Specifically, hypothesis H1, which pertained to the subjective norm factor, was rejected due to its Sig. value exceeding 0.05 (Sig. = 0.651). Conversely, the five accepted hypotheses (H2, H3, H4, H5) all demonstrated Sig. values below 0.05 (Sig. = 0.000). In summary, the study effectively achieves its predetermined objectives by identifying and analyzing five social media factors influencing tourists' destination selection decisions in Ho Chi Minh City. Additionally, the research assesses the magnitude of their impact and examines disparities in research outcomes across different customer segments in Ho Chi Minh City concerning travel destination decisions. Based on these findings, the researcher proposes managerial implications to support tourism businesses in Vietnam intending to utilize social media platforms for advertising. These implications aim to furnish essential insights for selecting and prioritizing key factors when designing advertising campaigns on social media, thereby enhancing brand effectiveness.
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This study set out to identify the factors influencing the intention of investors in the United Arab Emirates to adopt blockchain technology in the stock market. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT), a theoretical model was developed. 274 UAE investors were surveyed to test the hypotheses, and then the results were analysed using the structural equation modelling. Ultimately, the findings show that behavioral intention toward the use of blockchain technology is positively influenced by performance anticipation, social influence, and trust. Additionally, the results showed that older investors and investors with more years of blockchain technology experience had a greater relationship between facilitating conditions and behavioral intention toward blockchain adoption in the stock market, and the relationship between social influence and behavioral intention toward blockchain adoption was stronger for women and investors with less years of blockchain technology experience.
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Purpose Smart community construction (SCC) and efficiency require resident participation. This paper aims to explore the determinants of residents’ participation intention (RPI) in the SCC. Design/methodology/approach Based on the theory of planned behavior (TPB), this study proposed an extended conceptual model to deeply analyze the RPI in the SCC. The relationship between all constructs was verified by processing and analyzing online survey data using confirmatory factor analysis (CFA), structural equation model (SEM), and bootstrapping method. Findings Participation attitude, perceived behavioral control, subjective norm, and perceived usefulness significantly and positively affected the RPI. Furthermore, intermediary effects in the extended conceptual model had been confirmed. Originality/value To fill the critical gap in the research on the determinants of the RPI in the SCC context, this study developed a novel conceptual model by extending the TPB to analyze the effects of self-driven and externally-driven factors on the RPI from the perspectives of residents’ psychology and external environment. The findings not only clarify the complex process of forming the RPI in the SCC but also provide a theoretical foundation for studying the RPI in similar community construction projects. Additionally, several strategies have been proposed to encourage residents’ participation in the SCC and promote the development of smart communities, such as clarifying residents’ participation obligations, improving the convenience services of smart communities, and diversifying residents’ participation approaches.
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Purpose This study aims to explore the impact of athlete brand image on fans’ social media engagement, purchase intentions, and also examines the mediating role of emotional attachment on these relationships, as well as the moderating role of perceived price value between emotional attachment and purchase intentions. Design/methodology/approach The data are based on an online survey conducted in China (N = 572). The PLS-SEM (partial least squares structural equation model) and regression-based estimation method (PROCESS) are employed to test the hypotheses. Findings The results indicate a positive relationship between athletes’ athletic performance and fans’ social media engagement as well as purchase intentions. The impact of athletes’ attractive appearance and marketable lifestyle on fans’ purchase intentions is sequentially mediated by emotional attachment and social media engagement. Moreover, the mediation effect of athletes’ off-field image and purchase intentions is contingent upon fans’ perceived price value. Research limitations/implications Athletes and marketers could integrate and leverage both the on-field and off-field attributes to cultivate emotional connections with fans. Sports organizations and managers need to pay attention to fans’ social media engagement and provide content that increases engagement and converts into transactional behavioural intentions. Originality/value The study provides empirical evidence of the mediating role of emotional attachment between athlete brand image and fans’ purchase intentions. The explanatory mechanisms involving emotional attachment and social media engagement (non-transactional behavioural intentions) are anticipated to be a noteworthy addition to the traditional fan transactional behavioural intentions framework. Moreover, the research introduces and confirms perceived price value as a crucial moderating factor influencing the relationship between emotional attachment and purchase intentions.
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Purpose Given the detrimental effects of job content plateau, the paper aims to study the impact of job content plateau on employees’ career commitment. In doing so, the authors examine whether the lapses in job content plateau can be addressed through developmental i-deals. A final purpose is to examine whether proactive employees are better positioned to obtain work arrangements that help them develop and remain committed to their careers. Design/methodology/approach Data were collected from full-time working executives employed in different organizations. These executives enrolled in a part-time MBA program. Data was collected at different time points and analyzed using the process macro (Preacher and Hayes, 2004). Findings The results suggest that developmental i-deals mediated the relationship between job content plateau and career commitment. In addition, proactive employees were better disposed to seal the deal and develop themselves – helping them to stay committed to their careers. Originality/value Prior studies highlight the negative consequences of job content plateau because it does not provide avenues to learn and develop. This paper addresses the gap in locating opportunities to learn and develop (an aspect that was missing in the job content plateau) through developmental i-deals. First, the study helps answer how to address learning gaps in jobs. Second, who can capitalize on their efforts once the organization sponsors learning opportunities.
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Purpose: This article aims to clarify the relationship between financial analysis and business performance at public universities in Vietnam. In addition, the influence of financial analysis on operational results. Theoretical framework: In the context of increasing financial autonomy in public universities in Vietnam, the issue of financial analysis aims to provide information for managers to plan, organize, control, and make decisions. Financial information must be reliable, transparent, and accountably defined. Most universities in Vietnam are not actively engaged in financial analysis activities, and there are significant research gaps globally. Method/design/approach: The research sample, collected online, consisted of 425 respondents in managerial positions (including accounting, auditing, financial, vice principal, and principal positions) in public universities. Sampling took place over a 3-month period from September 2022 to December 2023. Using quantitative research and the PLS-SEM structural equation modeling in SPSS 20 and AMOS 20 software. Results and conclusion: The study identified two factors with the strongest influence on financial analysis in public universities in Vietnam: (i) the analysis data base (AD); and (ii) the analysis content (CA) and influence of financial analysis on operational results. The research provided in-depth insights and critical discussions and evaluations in financial analysis at public universities in Vietnam, recommending the adoption of public accounting standards for financial reporting developed by the International Public Sector Accounting Standards Board (IPSASB) or the use of EVA indicators (net operating profit after tax minus cost of capital) in financial analysis activities. Research implications: This research uses the contents of financial analysis and operational results based on prior studies in the realm of the public and universities. Within the context of the digital transformation of the entire society and improving the quality of education, these variables are useful solutions for universities. Originality/value: This study uses a new research methodology to analyze and measure the relationship between financial analysis and business performance at public universities in Vietnam. The paper's primary contribution is findings that benefit the public universities in Vietnam in the improvement of their training quality and business performance.
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Diabetic foot ulcers (DFUs) are one of the most prevalent and costly diabetes complications, associated with diminished quality of life and poor prognosis. Management of DFUs relies heavily on patients' foot self‐care behaviour. This study aims to explore psychological determinants of this important behaviour among primary care patients. A total of 186 patients with active DFUs self‐reported their illness perception, diabetes distress, self‐efficacy, and foot self‐care behaviour. Structural equation modelling was performed to examine interrelationships among measured variables. The final model demonstrated satisfactory fit, CFI = 0.933, TLI = 0.913, RMSEA = 0.050, SRMR = 0.073, χ²(95) = 132.256 (p = 0.004), and explained 51.1% of the variance of foot self‐care. Illness threat perceptions (i.e., consequence, timeline, identity, concern, and emotion) had a direct positive effect on foot self‐care behaviours, but also indirectly decreased foot self‐care through increasing diabetes distress. Control perceptions (i.e., personal control, treatment control, and coherence) were not directly associated with foot self‐care behaviours, but indirectly improved foot self‐care by reducing diabetes distress and increasing foot care confidence. These findings suggest illness perceptions, diabetes distress, and self‐care confidence as modifiable predictors to be targeted in self‐management interventions for patients with DFUs.
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This study examines the relationship between antecedents of Individual Entrepreneurial Orientation (IEO) in female students. The study uses locus of control, Machiavellianism, resilience, and mindfulness as independent variables. Data for the study was collected using standardized self-rating questionnaires on 854 female students as a unit of analysis. Exploratory and Confirmatory Factor Analysis (EFA and CFA) have been used to examine the reliability and validity of the measurement. Consequently, Structural Equation Modeling (SEM) was conducted using Python after validating the measurement model. The final model describes the relationship of Individual Entrepreneurial Orientation with the internal dimension of locus of control together with Machiavellianism, resilience, and mindfulness. All mentioned constructs had a significant positive influence on the dependent variable. Simultaneously, mindfulness was found to have a positive effect on resilience and internal locus of control on Machiavellianism. This study has expanded the dynamic research boundary and resonates with the recent developments in IEO conceptualizations. Moreover, this work is one of the few studies conducted exclusively among female students.
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Purpose This study investigates augmented reality (AR) retailing and attempts to develop a profound understanding of consumer decision-making processes in AR-enabled e-retailing. Design/methodology/approach The study is grounded in rich informational cues and information processing mechanisms by incorporating the elaboration likelihood model (ELM) and trust transfer theory. This study employs a mixed analytic method that incorporates structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to provide a complete picture of individual information process mechanisms in AR retailing under the tenet of ELM. Findings The SEM analysis results confirm the relationships between the central and peripheral route factors, information processing outcomes and eventual behavioral intentions. Moreover, all configurations revealed by the fsQCA include both central and peripheral factors. Hence, the dual routes proposed in the ELM are verified by using two distinct analytical approaches. Originality/value This study is pioneering in validating and contextualizing ELM theory in AR retailing. In addition, this study offers a methodological paradigm by demonstrating the application of multi-analysis in exploring consumers’ information process mechanisms in AR retailing, which offers a holistic and comprehensive view to understand consumers’ decision-making mechanisms.
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Brand is among the most valuable properties of an organization which its proper management can pave the ground for acquiring more market share and profitability in any industry including food industry. In this line, brand identity which is an intra-organizational factor and one of the most important discussions on marketing and brand is considered in a few studies. On this basis, present study with the purpose of studying the impact of brand identity impact on brand loyalty development and brand equity is conducted in food industry (dairy and meat products). This is a survey-type research in which questionnaire is used to collect data. In present study, Kaleh brand (Kaleh Dairy and Meat Products Company) as a well-recognized brand in Iran is selected for studying. All customers of the company in Tehran Metropolitan are selected as research statistical population and finally a sample of 476 customers was chosen. To analyze and confirm data, Structural Equations Modeling (SEM) and Confirmatory Factor Analysis (CFA) techniques are utilized. According to research findings, the impact of brand identity on both brand loyalty and brand equity in food industry was confirmed.
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We verify the moderating effect of managerial ambidexterity on the relationship between intellectual capital and financial performance of small manufacturing companies in Peru. The study used a quantitative, non-experimental, cross-sectional design. The sample consisted of 506 small manufacturing firms. To determine the hypothesised model’s validity and reliability, we performed an exploratory factor analysis using a rotated component matrix to group questions within their corresponding constructs. Next, we assessed convergent and discriminant validity using measures such as Cronbach’s alpha, composite reliability, and average variance extracted. Finally, we tested the model hypotheses using structural equation modelling. SPSS 27 and AMOS 24 were used for all analyses. The study showed that there is a partial moderating effect of managerial ambidexterity on the relationship between intellectual capital and financial performance of small manufacturing firms in Peru. Additionally, statistical analysis showed that managerial ambidexterity moderates the direct relationship between structural capital and relational capital with financial performance, while no moderation effect was observed for human capital. This study provides valuable information for academia and management as it is the first to analyse the relationship between intellectual capital and financial performance, considering the moderating effect of managerial ambidexterity in small manufacturing firms in Peru. This innovative approach makes a significant contribution to scientific knowledge by investigating how managerial ambidexterity affects the financial performance of businesses in emerging economies, an area that has received little prior research.
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Purpose This study aims to provide insights into the drivers of student engagement in food waste reduction strategies in educational institutions. The proposed research model integrates social media celebrities' attractiveness, expertise and trustworthiness with the value belief norm (VBN) theory to explore their influence on students' behaviour towards food waste reduction. Design/methodology/approach The data were collected from 417 students enrolled in public and private universities in the Riyadh and Macca regions of Saudi Arabia to evaluate the proposed model. The partial least squares-structural equation modelling (PLS-SEM) was employed to analyse the responses. Findings The results showed that VBN theory's components, such as values (biospheric, altruistic and egoistic), beliefs (new ecological paradigm, awareness of consequences and aspirations of responsibility) and norms significantly and positively influence food waste reduction behavioural intentions. It was also discovered from the results that social media celebrities' attractiveness, expertise and trustworthiness influence food waste reduction behavioural intentions. Originality/value This study contributes significantly to the literature by identifying factors influencing student engagement in food waste reduction strategies in educational institutions where limited research exists. It fills this research gap by developing a novel theoretical framework integrating social media celebrities' attributes with the VBN theory to explain these factors.
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