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Purpose: This study investigated how sources of information across social media platforms influence fantasy users' sport consumption and enhance their performance expectancy. Specifically, we examined the effects of social media-related motivation on fantasy users' playing skills, sense of competition and performance expectancy based on the uses and gratifications theory. Design/methodology/approach: Data were collected from 453 fantasy sport users on social media platforms. We conducted confirmatory factor analysis to assess a measurement model and used serial mediation techniques to examine the relationship between social media-related motivation and fantasy sport users' performance expectancy. Findings: Results showed that social media-related motivation had significant and positive impacts on fantasy users' playing skills, sense of competition and performance expectancy. Additionally, we found that fantasy users' playing skills increased their sense of competition and performance expectancy. A sense of competition was found to positively affect fantasy users' performance expectancy. Originality/value: This study provided a valuable contribution to the existing body of knowledge on social media by investigating the influence of social media-related motivation on fantasy sport users. The findings reveal that sharing content-based information on social media platforms plays a vital role in attracting and motivating individuals to engage in fantasy sports. The updated information enhances the playing skills of fantasy users, fosters a sense of competition and improves performance in virtual sport. [ABSTRACT FROM AUTHOR]

Theoretical triangulation (TT) within the context of social media marketing communication (SMMC) and business performance (BP) is a rarely observed phenomenon. This paper offers a critical review of the contributions of multiple theories, including performance expectancy theory (PET), effort expectancy theory (EET), and social influence theory (SIT), to examine whether SMMC moderates the relationship between these theories and business performance. Survey data from 218 cashew salespeople in Sri Lanka were analyzed using structural equation modeling (SEM) via AMOS 26.0. The SEM analysis revealed significant positive relationships between performance expectancy (PE), effort expectancy (EE), social influence (SI), and potential sellers' business performance. However, the moderation effect results indicated that SMMC had a weak moderating effect on the relationship between EE and BP, as well as SI and BP. Nevertheless, it demonstrated that SMMC partially moderated the relationship between PE and BP. While this study provides valuable insights, it should be noted that caution is required when generalizing the findings. Future research could introduce additional variables to further explore moderation effects within the Unified Theory of acceptance and use of technology (UTAUT) framework. Ultimately, this study serves to broaden the perspectives of cashew sellers, offering practical implications derived from academic research. The findings not only support the acceptability of TT in explaining predictors and BP within the cashew industry but also underscore the resilience of TT in diverse research contexts. Through SEM analysis, this study introduces SMMC as a moderator in the UTAUT framework, shedding light on the moderating effects of SMMC on the relationship between predictors and BP and its impact on salespeople in the realm of SMMC. [ABSTRACT FROM AUTHOR]

Our research aims to reveal factors that are considered effective in influencing intentions to use mobile banking services, especially those owned and managed by Bank Nagari Padang Main Branch. In our research, the population used was all customers who saved at Bank Nagari Main Branch in Padang, while the samples were 100 customers who had saved through Bank Nagari Main Branch for more than a year and were over 17 years old. The data collection stage was carried out by a survey, namely by distributing questionnaires directly to target respondents who met predetermined criteria. The analytical method used is multiple linear regression (OLS) and tstatistical testing. In accordance with the results of hypothesis testing, we found that three dimensions of the Unified Theory of Acceptance and Use of Technology (UTAUT), namely performance expectancy, effort expectancy, and social influence, have a positive and significant effect on the intention to use Bank Nagari's mobile banking services, while the other dimension is Facilitating conditions do not have a significant influence on customers' intentions to use Bank Nagari's mobile banking services. Thus, it can be concluded that the hope of obtaining maximum benefits, the ease of operating procedures for technology-based devices, as well as the large influence of the social environment, have an important role in shaping the intentions of Bank Nagari Padang Main Branch customers to use mobile banking services

The rapid development of digital technology presents challenges that necessitate an understanding of its effect on the job performance of public sector personnels to advance digital construction in the public sector. Drawing upon the Unified Theory of Acceptance and Use of Technology (UTAUT), this research delves into the pivotal influences of digital technology factors on the job performance of public sector personnels, with a specific emphasis on understanding how technology anxiety acts as a mediator in this connection. Since the purpose of this study is to explore the impact of digital technology on the work performance of public sector personnels, the research objects of this research constituency are a total of 717 public sector personnels from different public sectors. Data were collected from 717 public sector personnels using quantitative research methods and analyzed with a structural equation model in AMOS 28.0. The results show that H1,H3,H6A and H6C are not confirmed, and the other hypotheses are confirmed. Specifically, since β = -0.537 for effort expectancy, p < 0.001, and β = 0.622 for facilitating condition, p < 0.001, effort expectancy and facilitating condition have a significant promoting effect on job performance. Additionally, technology anxiety mediates the relationship between expectancy and performance. Skilled use of digital technologies is found to improve personnel performance. These findings highlight the significance of digital technology proficiency and the creation of supportive digital environments in enhancing public sector personnel performance. This study provides actionable insights for optimizing digital technologies in the public sector and improving the job performance of public sector personnels in the public sector field, highlighting the need for a training and supportive digital environment to alleviate technological anxiety and improve performance.

This study utilizes the UTAUT model, one of the technology acceptance models, and discusses tourism academics’ adoption of technology in teaching and research practices in the context of this model. The data collection process of the study was completed with the help of a survey, one of the quantitative research methods data collection tools, and analyzes were carried out on the data received from 403 tourism academics in Türkiye. The results of the study some descriptive features of faculty members affect their expectations from technology and attitudes towards technology. This study is limited to tourism academics in Türkiye. It demonstrates to decision makers that technology is a factor to be considered in the development of educational plans and policies. [ABSTRACT FROM AUTHOR]

This study aims to investigate factors affecting behavioral intention towards teaching AI in Saudi universities. A random sampling method was used. A total of 430 responses were received. There were 330 males (76.74%), and 100 females (32.25%). All participants were of Saudi nationality and spoke Arabic as their mother tongue. To investigate sample data and assess model fit, this study employs structural equation modeling (SEM). A self-report 15- item survey instrument was developed specifically for this research study, based on Technology Acceptance Model (TAM). Study variables showed significant correlations at the .01 level. BI correlates positively with Performance expectancy (PE), Effort expectancy (EE), Social influence (SI)and Facilitating conditions (FC) (r = .555, .655, .630 and .615 respectively). Each of PE, EE, SI made significant individual contributions to the prediction of BI. The results indicated that the following beta weights which represented the relative contribution of PE, EE, SI and FC to the prediction were observed. PE (b = .411, t = 5.890, P < 0.01), EE (b = .333, t = 5.780, P < 0.01), SI (b = .297, t = 5.230, P < 0.01), and FC (b = .299, t = 5.232, P < 0.01). Together they yielded a coefficient of multiple regression (R) of 0.788 and a multiple correlation square of 0.784. With regard to the academic contribution, this work builds upon previously established and validated literature while simultaneously providing a new conceptual model. [ABSTRACT FROM AUTHOR]

The industrial revolution 4.0 has pushed the banking sector to bring transparency in their financial transactions, especially in sending and receiving remittances. This study identifies the factors that affect the user's behaviour in the adaptability of blockchain technology (BT). The unified theory of acceptance and use of technology (UTAUT) with two additional factors comprising trust and transparency is used in the current study. The data of 240 respondents from the banks of Pakistan were tested through the PLS-SEM and fsQCA. The study results show that performance expectancy, effort expectancy, trust in BT, transparency in BT and the facilitating condition positively affect, while social influence negatively affects the behavioural intention towards BT. This study extends the application of the UTAUT model with two dimensions (e.g., trust and transparency) to identify the factors that predict bankers' intentions and their subsequent effect on the overall use of blockchain-based remittance services in Pakistani banks. In addition, we extend this study by combining symmetric (i.e. PLS-SEM) and asymmetric (i.e. fsQCA) techniques to generate significant implications for banks that provide blockchain-based remittance services. The asymmetric findings also provided bankers with two models (recipes) that have a greater potential for predicting bankers' use of blockchain-based remittance services. [ABSTRACT FROM AUTHOR]

This study proposes a hypothetical model combining the unified theory of acceptance and use of technology (UTAUT) with self-determination theory (SDT) to explore design professionals’ behavioral intentions to use artificial intelligence (AI) tools. Moreover, it incorporates job replacement (JR) as a moderating role. Chinese-speaking design professionals in regions influenced by Confucian culture were surveyed. An analysis of 565 valid cases with AMOS (Analysis of Moment Structures) supported the structural model hypothesis. The model explains 52.1% of the variance in behavioral intention to use (BIU), proving its effectiveness in explaining these variances. The results further validate the importance of performance expectancy (PE) over effort expectancy (EE) in influencing BIU. Additionally, it has been shown that the impact on intrinsic motivation (IM) and extrinsic motivation (EM) can be either amplified or diminished by anxiety about JR. For individuals experiencing higher levels of JR anxiety, there is a marked increase in IM. They may perceive adopting AI tools as an opportunity to enhance their skills and job security. Conversely, this anxiety also significantly boosts EM, as the potential for improved efficiency and productivity with AI use becomes a compelling incentive. These findings suggest new paths for academic researchers to explore the psychological impacts of AI on design professionals’ roles. For practitioners, especially in human resources and organizational development, understanding these dynamics can guide the creation of training programs that address job replacement anxiety. [ABSTRACT FROM AUTHOR]

This study investigated the factors influencing the acceptance of big data analytics in healthcare. Big data analytics can improve many aspects of healthcare, including diagnostics, service provision, and patient outcomes. A cross-sectional online survey administered to N = 132 professionals working in the U.S. healthcare industry used regression analysis to determine the extent of the predictive relationships between the variables. The findings support previous research linking big data analytics to performance improvements in healthcare by highlighting performance expectancy's significance as a predictor of behavioral intentions. The mixed results suggest that the Unified Theory of Acceptance and Use of Technology (UTAUT) has limited explanatory power when studying big data analytics adoption in healthcare settings. Future research should focus on developing a theory that explains big data analytics acceptance and use based on information security risks, implementation costs, and user aversion to technology. [ABSTRACT FROM AUTHOR]

In an era where user experience reigns supreme, an unexpected element is subtly influencing our interactions with technology--"Cuteness." However, when discussing the design of digital products such as AIVAs, is cuteness merely a matter of appearance? This paper aims to unveil the complex psychological mechanisms and their impact on usage intention hidden behind the seemingly harmless allure of cuteness. Through an experimental study involving 284 participants and utilizing a moderated serial mediation model via PLS-SEM, this research reveals how aesthetic design differences influence usage intentions. The findings disclose three key insights: (1) A positive relationship between cuteness and usage intention is confirmed; (2) Social presence, performance expectancy and customer value act as serial mediations between cuteness and usage intention; (3) Perceived risk moderates the impact of cuteness on usage intentions by influencing social presence, performance expectancy, hedonic value and functional value. This contributes theoretical insights and practical guidance for the sustainable development and success of AIVAs. [ABSTRACT FROM AUTHOR]

Despite the disruptive effects of COVID-19 on higher education institutions, the pandemic has enforced the intensive and sustained integration of new digital technologies and platforms into Education, a case that has instigated new contexts for online learning research. A considerable proportion of empirical literature advocates that perceived fear associated with the pandemic is positively related to protection motivation and, hence, online learning acceptance. The current study aims to extend one of the prominent technology acceptance theories, namely, the Unified Theory of Acceptance and Use of Technology (UTAUT), and diffusion of innovation of theory (DIT) to investigate the acceptance and adoption of learning management systems (LMS) among students and faculty. A cross-sectional survey study has been conducted in a higher education institution in Oman, involving a sample of undergraduate students and faculty. The findings have indicated that perceived corona fear has significantly influenced perceived effort expectancy and performance expectancy, whereas facilitating conditions and technological innovativeness, contrary to the forecasts, have not significantly affected intention. Based on its findings, the current study suggests several practical implications for promoting the pedagogical efficacy of online learning elements within comprehensive blended learning models in higher education institutions in the post-pandemic era. [ABSTRACT FROM AUTHOR]

The growing significance of E-Pharmacy services in healthcare necessitates investigating the factors influencing users' behavioral intentions on these platforms. Comprehending these variables is imperative to maximize service provision, elevate customer satisfaction, and ultimately elevate healthcare accessibility and results. The main goal of this study is to explore the factors that shape consumers' inclination to use E-Pharmacy services, focusing on the framework provided by the Technology Acceptance Model. Additionally, we aimed to investigate how technological literacy plays a moderating role in this context, specifically within the South African setting. Using a sample of 480 South African clients, the Technology Acceptance Model (TAM) and partial least squares structural equation modeling (PLS-SEM) were used to investigate the factors influencing behavioral intention to use E-Pharmacy services. The findings underscore perceived usefulness, trust, performance expectancy, and social Influence as fundamental drivers influencing users' intentions to adopt E-Pharmacy systems. Additionally, the study shows that consumers' intention to use E-Pharmacy services is significantly and favorably affected by their desire to utilize such services. This suggests that individuals are more likely to act on positive intentions when they are interested in using E-Pharmacy platforms. Intriguingly, technological literacy has emerged as a moderating factor in the relationship between the intention to use and the actual behavior of utilizing E-Pharmacy platforms. This demonstrates the importance of consumers' technical knowledge and skills in bridging the intention-behavior gap and highlights the necessity of adapting treatments and instructional strategies to account for various levels of technological literacy. This study provides valuable insights into the complex relationships between factors influencing the acceptance of E-Pharmacy services in South Africa. This knowledge can have practical implications for lawmakers, developers of E-Pharmacy platforms, and healthcare professionals who aim to enhance user acceptance and utilization. [ABSTRACT FROM AUTHOR]

This study offers useful information to financial technology service providers and policymakers by examining the variables that affect people's intentions to use financial technology. The study's main goal is to determine how users' intentions to adopt and use financial technology platforms are influenced by factors such as price value, social influence, responsiveness, performance expectancy, effort expectancy, and trust. Data analysis has been conducted using SPSS version 25.0. Using a quantitative study design, data were gathered from a sample of 511 participants. A Convenience sampling technique has been applied. The results show that every factor examined has a favorable impact on people's intentions to use Fintech, indicating that enhancing these factors can increase users' adoption and usage of Fintech platforms. However, interestingly, no significant relationship was found between responsiveness and both performance expectancy and trust. These results contribute to the understanding of user behavior in the Fintech context and highlight the significance of factors such as trust, social influence, and price value in shaping individuals' intention to use Fintech. This research paper also examines the role of responsiveness in influencing several factors such as effort expectancy, performance expectancy, and trust. [ABSTRACT FROM AUTHOR]

This research’s goal is to identify the variables that influence consumers’ decisions when they buy prescription drugs online. This study investigates the factors influencing consumers’ decisions regarding online pharmacies through a comprehensive investigation of the variables influencing purchasing decisions. The Unified Theory of Adoption and utilize of Technology (UTAUT 2) is extended to include already available two variables; Performance Expectancy and Price Value and extension has been established by including Adoption Intention as a mediator among PE, PV and Consumer Buying Behavior (CBB). Partial least squares (PLS) analysis is used in this study to examine a sample size of 384 users. The results of the study showed that performance expectancy has no direct impact on adoption intentions which is quite opposite to the previous studies’ findings. Also, findings revealed that Price value has strong direct effect on adoption intention. The findings also shed light on the mediating effect of adoption intention influencing consumers’ choices when they buy products from internet pharmacies, providing knowledge to enhance the online pharmacy experience and support industry stakeholders in their strategic decision-making. In light of the findings, this work provides organizations with useful guidance on how to establish online pharmacy platforms and implement recommendations for online purchases.

Today, numerous mobile learning applications are used to enable learning during the working process or on-the-go. However, few insights that are available regarding mobile application usability (MAU) and its determinants in the context of mobile learning. More specifically, there is a critical need to disentangle the determinants of MAU and their overall impact on MAU while also acknowledging the possible motivational consequences. Therefore, we developed a theoretical model of MAU, its determinants, and its consequences. By utilizing a free simulation experiment, we investigated the role of MAU in the domain of mobile learning. We used structural equation modeling to analyze the theoretical model. The results show a significant influence of MAU on mobile learning compatibility, performance expectancy, and self-efficacy. The results also indicate that compatibility acts as a partial mediator of usability on performance expectancy. Finally, we conducted an importance-performance analysis that reveals key usability insights: UI output, the most critical factor, underperforms, highlighting a major improvement area. UI structure and application design also need enhancement. In contrast, UI input and application utility perform well despite lower importance, with UI graphics showing adequate performance despite being least crucial. The present paper contributes to the discussion concerning MAU and its impact on mobile learning, while delivering formative insights of MAU for mobile learning applications.

In the ever-changing landscape of education, the integration of technology has become an inevitable force that reshapes the foundations of teaching and learning. Amidst this transformative wave, the concept of Artificial Intelligence (AI) has taken center stage, promising innovative approaches, and increased efficiency. Within this context, the exploration of preservice teachers' behavioural intention to employ AI in lesson planning has emerged as a critical issue for examination. This study used a descriptive cross-sectional survey design and employed a purposive sampling technique to recruit 783 preservice teachers. By employing a cutting-edge dual-staged partial least squares structural equation modelling-artificial neural network (PLS-SEM-ANN) approach, this study investigated the influence of the following essential variables on preservice teachers' intentions to incorporate AI into their lesson planning endeavours: performance expectancy, effort expectancy, habit, hedonic motivation, social influence, and facilitating conditions. Social influence emerged as the most significant positive predictor of preservice teachers' behavioural intention to use AI in lesson planning. Additionally, habit, performance expectancy, effort expectancy, and facilitating conditions substantially positively influenced preservice teachers' behavioural intention to use AI in lesson planning. Conversely, hedonic motivation did not significantly affect preservice teachers’ behavioural intention to use AI in lesson planning. This study not only enhances our understanding of technology integration in pedagogy from a theoretical standpoint but also provides practical recommendations for refining educational curricula and instructional strategies that promote effective AI integration.

AbstractThe Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) or popularly the Corona Virus Disease 2019 (COVID-19) pandemic brought significant public health challenges globally. During the crisis, mobile health (m-health) services were implemented to expedite fast, convenient and reliable dissemination of health information to the public. Meanwhile, the adoption of m-health faced high uncertainty alike other COVID-19 regulatory methods. This study examines the antecedents of m-health acceptance among Zimbabwean university students. Whilst research on m-health adoption during the pandemic is still scarce, this study becomes the first to integrate the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Theory of Planned Behavior (TPB) to predict m-health adoption in a developing country. An explanatory design and a quantitative research approach were employed. Based on 271 valid responses, Structural Equation Modelling was used to estimate the proposed model. The findings revealed the positive effect of performance expectancy, effort expectancy, facilitating conditions, attitudes, behavioral norms, perceived behavioral control on behavioral intention to adopt m-health with a higher R square value (80.4%) than the original UTAUT model. The study also confirmed the positive influence of behavioral intention on m-health usage (R square = 41.5%). Health promoters were urged to design messages that stimulate positive attitudes, appeal to social groupings and improve user’s self-efficacy. M-health services should also foster use simplicity, ease of use and health value to entice m-health adoption among consumers. The study also provides an important baseline for the integration of behavioral theoretical models to enhance their predictive strength.

Generation Z faces diverse challenges in education amidst the swift evolution of technology. This study investigates the factors shaping Generation Z's acceptance and adoption of AI and Cloud-based applications in Oman's higher education sector. Despite limited attention to this area in Oman and the Gulf Cooperative Council countries (GCC), this research addresses the gap by employing the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, recognized for its effectiveness in understanding technology adoption. Through a quantitative approach, Generation Z students in Omani higher education institutions were surveyed, and SmartPLS was utilized for analysis. Results indicate a significant positive relationship between all UTAUT antecedent factors, with Performance Expectancy being non-significant. This study offers novel insights into global understandings of Generation Z's learning trends with AI and Cloud-based applications in higher education, aiming to enhance pedagogical approaches. Notably, it pioneers such efforts within the GCC context. Recommendations for similar research in other GCC countries are provided to enrich regional perspectives. Limitations and future directions are addressed, emphasizing the importance of comprehending Generation Z's interaction with technology to advance educational practices in the digital age. Doi: 10.28991/ESJ-2024-08-03-02 Full Text: PDF

Although mobile shopping is a new norm after the pandemic, its proliferation is still not very mature in developing nations. Drawing on the Unified Theory of Acceptance and Use of Technology (UTAUT) model, this research employs the SEM technique to examine the effect of mobile shopping frequency and repurchase intent among 198 young mobile shopping consumers in Pakistan. Our findings suggest that purchase frequency is a key variable in consumer behavior and plays a significant role in building mobile shopping repurchase intentions. Findings further suggest that effort expectancy, unlike the performance expectancy, also strongly affects the relationship between purchase frequency and repurchase intention as an intervening mechanism, while a strong interaction effect from the social influence is also noted. This research offers insightful implications for researchers and marketers in the realm of e-commerce and mobile shopping domains. [ABSTRACT FROM AUTHOR]

The research analyzes the factors influencing students' intentions toward infaq and sedekah through digital platforms. This research involved 226 respondents from Java who had carried out transactions using digital platforms. Respondents were selected randomly using a simple random sampling technique, and data was collected through a questionnaire with a Likert scale. The analytical method used in this research is partial least squares, consisting of outer and inner models. Hypothesis testing checks the original sample, T-statistics, and Pvalue on the bootstrap results. The research results show that performance expectancy and social influence behavior intention while facilitating conditions and behavioral intention influence use behavior. However, no influence was found on behavior intention between effort expectancy and reducing conditions. [ABSTRACT FROM AUTHOR]

Technological developments and the emergence of the financial technology industry coupled with digitalization in various fields have led to mobile payments in Indonesia. Mobile payments make transactions even faster and more convenient. However, there is a decision for consumers to continue or not to use technology, in this case regarding mobile payment technology. This study develops a model to see a direct relationship between performance expectancy and effort expectancy on continuance intention in cellular payments. Quantitative This study used SmartPLS 3.0 in conducting data analysis and obtained primary data from 1000 respondents through a list of questions given with a Likert scale. The research was conducted in two cities in Lampung Province. This study found the fact that performance expectancy has a direct relationship effect on continuity intention in mobile payments because consumers feel comfortable and do not worry about transactions through mobile payments. Effort expectancy has a direct relationship effect on continuity intention in mobile payments because consumers find transactions with mobile payment facilities very practical in use and easy to understand. [ABSTRACT FROM AUTHOR]

Cloud gaming technology is a fairly new innovation in the gaming industry in the world. The implementation gradually expanded and reached Indonesia at this time. However, the growth of its users tends to be slow, even though game players in Indonesia have reached 105 million people. If cloud gaming users can become larger, it will certainly be profitable for the provider companies and the Indonesian state. Therefore this research was conducted to understand the factors that influence the acceptance of cloud gaming technology with the Xbox cloud gaming case study. In this study using the main model Unified Theory of Acceptance and Use of Technology (UTAUT) added variables perceived security and perceived value. The data collection method used is an online survey using Google Forms. The number of samples collected reached 120 game players. Multiple regression analysis and sub-group analysis were used to test the hypotheses proposed in the study. Based on the results of the analysis it was found that all hypotheses were supported. performance expectancy, effort expectancy, social influence, facilitating condition, perceived security and perceived value influence the user's behavioral intention to keep using Xbox cloud gaming. The results of this study are expected to be able to make cloud gaming service providers, especially Xbox, to be able to improve the quality of service based on the suggestions put forward by the author. [ABSTRACT FROM AUTHOR]

This paper delves into the dynamics of self-service technology (SST) with the plan to use it in fast-food restaurants, focusing on pivotal determinants that shape users' intentions to engage with these technologies. Leveraging the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, the study investigates the influence of various variables such as performance expectancy, effort expectancy, social influence, habit, facilitating condition, and technology anxiety on users' intentions to use self-service technologies. To gauge consumers' intentions regarding SST use when ordering food and drinks, we conducted a field survey, with 272 customers participating at one of the largest Kentucky Fried Chicken (KFC) outlets in Indonesia. The findings suggest that certain variables such as habit, influence the desire to integrate SST as well as performance and effort expectancy, whereas facilitating condition and social influence do not exert a significant impact. As anticipated, factors related to technology anxiety impede customers' intentions to use SST. These findings are anticipated to provide a better understanding of both academic research and practical implications for the use of SST within the fast-food industry. [ABSTRACT FROM AUTHOR]

Purpose: This research aims to analyze the factors that influence behavior using the MyPertamina application using the unified theory model of acceptance and use of technology 2 (utaut2) among gas station customers in the South Banten area, Banten Province, Indonesia. Design/Methodology/Approach: The research method used in this research is a quantitative method with an associative approach. The research sample comprised 135 gas station customers using Mypertamina in South Banten. The sample was determined using a purposive sampling technique. Data analysis used structural equation modeling (SEM) using the SmarPLS 3.0 program. Findings: The study concludes that while social influence, facilitating conditions, and hedonic motivation significantly affect users' behavioral intention to use the MyPertamina application, performance expectancy, effort expectancy, price value, and habit do not. Practical Implications: actual use behavior is driven by facilitating conditions, habits, and behavioral intentions. Originality/Value: This research provides context-specific insights into the factors influencing the adoption and use of the MyPertamina application, particularly relevant for the Indonesian market and similar developing regions. [ABSTRACT FROM AUTHOR]

The purpose of this study was to predict the likelihood that teachers would consider the Geometric AR-based Pedagogical Module (GeAR-PM) as beneficial, and study the factors that influence their decision. The data for this study was gathered via a survey method. A sample of 202 Malaysian secondary school teachers was randomly selected as respondents for this study. Specifically, the respondents were asked to answer questions using an instrument which was developed based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model. This study comprised four UTAUT variables: performance expectation, effort expectancy, social influence, and facilitating conditions, and one additional variable, self-efficacy. All variables showed high reliability with Cronbach Alpha's values between 0.87 to 0.91. The data was analyzed using a binary logistic regression via Statistical Package for the Social Sciences (SPSS) version 27.0. The findings revealed that a teacher's belief that GeAR-PM is beneficial was significantly related to his/ her perception on effort expectancy, social influence, and self-efficacy. Hence, when developing the GeAR-PM, these three factors should be weighed up. [ABSTRACT FROM AUTHOR]

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This study's objective was to investigate and ascertain the impact of electronic banking services on the use of technology by customers of Islamic banks in Pakistan. The Islamic banking system (IB) initially emerged in the global financial scenario in the 1970s. Over the time the SBP was asked to design a plan for the advancement of Islamic-banking in Pakistan. As a result, Al Meezan Investment Bank known as Meezan Bank received its 1st license as an Islamic commercial bank from the SBP in 2002. Moreover, in order to collect the data about 221 Islamic Bank's, customers were selected from MCB Islamic Bank, Al-Baraka Bank, Meezan Bank, Bank Islami, and Dubai Islamic Bank of Pakistan as a sample and five-point Likert scale questionnaire was employed as a measuring instrument. Finally, the data was analyzed using SPSS 26 (Statistical Package for the Social Sciences) software. After applying the necessary data analysis and testing of hypotheses, it was found that all factors, like perceived ease of use, performance expectancy, security & privacy, and social influence, were significantly exaggerated by the utilization of electronic banking technology by Pakistani Islamic banks. Therefore, from the results of this study it can be recommended that Islamic banks must make significant investments in technology since doing so will promote the adoption of electronic banking systems, and hence the financial performance of Islamic banks will improve in Pakistan. [ABSTRACT FROM AUTHOR]

The need to improve service delivery efficiency and enhance passenger satisfaction is driving most airport operators to increasingly adopt robotics as part of their service delivery infrastructure. This study examined the factors influencing the adoption of service robots in Nigerian airports. It specifically explored the effects of UTAUT dimensions on the adoption of service robots in selected Nigerian Airports. The study adopted cross-sectional survey design, and data were obtained from 241 airport staff using structured questionnaires. Hypothesized relationships were tested using multiple regression analysis. Results showed that performance expectancy, effort expectancy, social influence and facilitating conditions had significant positive effects on the adoption of service robots in Nigerian airports, although social influence and facilitating conditions respectively had greater influence in the adoption decision. It was, therefore, concluded that marketers of aviation service robots should consistently promote the unique benefits and performance expectations of their products in order to demonstrate the potential capabilities of these technologies in improving operational efficiencies. [ABSTRACT FROM AUTHOR]

Community-supported agriculture (CSA) has emerged as a viable solution for addressing the agricultural challenges faced by countries like Indonesia. This study uses the well-established unified theory of acceptance and use of technology (UTAUT2) model to examine the interest in CSA of potential customers in Indonesia. A standardized questionnaire was distributed to 1200 respondents, and the data were analyzed using structural equation model-partial least square (SEM-PLS) in SmartPLS 4.0 software. The results capture potential CSA consumer interest and will help to improve CSA development strategies in Indonesia. The model explains 44.4% of customers’ intentions, and identifies performance expectancy as the decisive factor in customers’ willingness to participate in CSA. Performance expectancy (0.292), hedonic motivation (0.262), social influence (0.259), and facilitating conditions (0.086) positively influence customers’ interest in participating in a CSA program. The adoption of CSA programs by both farmers and customers could be increased by implementing regulations that provide tax incentives and subsidies, offering training on sustainable farming practices, facilitating the establishment of distribution channels, and establishing guidelines for fair price and quality standards. This study shows the high potential for the implementation of CSA in Indonesia. It could also be used as a foundation for the development of new policies regarding sustainable agriculture markets in Indonesia.

This study aims to investigate factors affecting behavioral intention towards teaching AI in Saudi universities. A random sampling method was used. A total of 430 responses were received. There were 330 males (76.74%), and 100 females (32.25%). All participants were of Saudi nationality and spoke Arabic as their mother tongue. To investigate sample data and assess model fit, this study employs structural equation modeling (SEM). A self-report 15- item survey instrument was developed specifically for this research study, based on Technology Acceptance Model (TAM). Study variables showed significant correlations at the .01 level. BI correlates positively with Performance expectancy (PE), Effort expectancy (EE), Social influence (SI)and Facilitating conditions (FC) (r = .555, .655, .630 and .615 respectively). Each of PE, EE, SI made significant individual contributions to the prediction of BI. The results indicated that the following beta weights which represented the relative contribution of PE, EE, SI and FC to the prediction were observed. PE (b = .411, t = 5.890, P < 0.01), EE (b = .333, t = 5.780, P < 0.01), SI (b = .297, t = 5.230, P < 0.01), and FC (b = .299, t = 5.232, P < 0.01). Together they yielded a coefficient of multiple regression (R) of 0.788 and a multiple correlation square of 0.784. With regard to the academic contribution, this work builds upon previously established and validated literature while simultaneously providing a new conceptual model.

Objectives: Task-Technology Fit (TTF) is mainly used to determine the users’ performance based on the tasks and technological attributes. This study integrated and evaluated TTF with the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). This paper aims to compile and analyze the literature on task-technology fit (TTF) since 2000. Method: Through the meta-analytic structural equation modeling (MASEM) approach, understand the application of TTF in the last 20 years and explore future research directions. In addition, this paper employs subgroup analysis and sample sub-grouping to better understand the differences between these studies. The samples were divided into two categories: identity groups (employee, individual, and student) and voluntary groups (voluntary and non-voluntary). Findings: The relationship between the variables belonging to the original TTF model (including TASK, TEC, TTF, PI, and UT) was found to be relatively stable. After combining the variables of UTAUT2 (including PEOU, BI, and PE) and IC, all paths were also found to have a medium or high effect. The TTF-BI path was significant in the identity-based subgroup analysis, and the IC-TTF path was significant in the voluntary-based subgroup analysis. Novelty:Given that the traditional TTF literature is too subjective, this paper adopts MASEM as applied in management research. There are few similar studies so far. Therefore, this paper not only analyzes TTF objectively through MASEM but also provides some directions and suggestions for expanding the TTF model and hopes to give a stronger explanation for future research. Doi: 10.28991/ESJ-2024-08-01-06 Full Text: PDF

The rapid growth of the information technology industry has spurred corporate process digitalization. This study aims to examine how the Unified Theory of Acceptance and Use of Technology’s (UTAUT) major tenets – performance expectancy and effort expectancy – and trust affect managers’ acceptance of new e-fulfillment services. This study also considers Hofstede’s cultural dimension of long-term orientation as the major variable influencing management’s acceptance of the new fulfillment platform. This study employed a quantitative research methodology with a simple random sampling of 248 Indonesian Logistic Association members from various industries. The research finding shows that only effort expectancy does not significantly affect managers’ e-fulfillment platform usage. Both effort expectancy and performance expectancy have a significant impact on employee trust in using the new technology. In addition, performance expectancy, customer trust, and long-term orientation positively affect the managerial adoption of e-fulfillment services. The study also shows a full mediation effect of customer trust in the relationship of effort expectancy to managerial adoption and a partial mediation effect in the influence of performance expectancy into managerial adoption of electronic resources planning with trust as a mediating variable. AcknowledgmentThis study is conducted with the support from the Ministry of Education, Culture, Research, with the Contract No. 1170/LL3/AL.04/2023; 0059-RD-LPPM-UMN/P-JD/V/2023.

Small Private Online Courses (SPOCs) platform enables individuals to carry out their online and offline learning activities. In order to understand individuals’ utilisation of SPOCs, this study develops a research model to examine the joint influences of four dimensions of perceived fit manifested in perceived technology-task fit (TTF), perceived individual-technology fit (ITF), perceived online-offline task fit (OTF), and perceived online-offline interactivity fit (OIF). A survey is conducted at a famous university in China, and 371 data are collected from students who select courses on the SPOC platform. Structural equation modelling method is used to examine the research model. The empirical results suggest that ITF is the most significant antecedent of individual performance expectancy, followed by OTF, TTF, and OIF. Furthermore, individual performance expectancy positively influences satisfaction and continuance intention in the SPOC platform. Moreover, this study incorporates self-regulation as a moderator to explore behavioural differences between individuals with high and low self-regulation. This study extends the traditional perceived fit framework by introducing OTF and OIF and uncovers the antecedents and boundary conditions of individuals’ utilisation of SPOCs in the emerging research context. [ABSTRACT FROM AUTHOR]

The banking industry has received criticism for being one of the major contributors to climate change, either directly or indirectly. In response to this, the concept of “green banking” has emerged as a way to counteract the negative impact that banks are inflicting on the environment. However, there is little research on green banking adoption from customers’ perspectives in emerging countries, particularly Pakistan. Therefore, the current study has explored and examined the different factors that influence customers’ intention to adopt green banking and afterwards use behavior by applying the unified theory of acceptance and use of technology. In addition, customers’ green values and collectivist culture were incorporated into the unified model to determine the most influential factor driving green banking proliferation. The study was conducted in Lahore, Pakistan, with the participation of 305 private bank customers. The empirical findings revealed that facilitating conditions and performance expectancy are the most significant driving factors for green banking proliferation, followed by emotional and conditional values, social influence, and effort expectancy. Surprisingly, a country with a 97% Muslim population believed in a collectivist national culture and a joint family system showed an insignificant moderating effect of collective culture on relationships. Bank managers, policymakers, and researchers should take into account these factors while designing and developing green banking products/services and policies to promote green banking proliferation in mainstream markets. The study provides novel theoretical insights on green banking adoption from customers’ perspectives and guides future research in this field. [ABSTRACT FROM AUTHOR]

The adoption of e-procurement systems in developing countries is progressing slowly due to several challenges and barriers. Likewise, the adoption of e-procurement systems has been extensively studied, with research focusing on direct effects of factors like transparency and compatibility. This research aimed to evaluate the direct and indirect effects of relative advantage and performance expectancy on the adoption of e-procurement systems by combining components from the Technology, Organization, and Environment model with a modified Unified Theory of Acceptance and Use of Technology. This was accomplished by analyzing the function of attitude as a mediator and the legal framework as a moderator in the suggested study model. This study used a cross-sectional survey research design, together with a stratified sampling technique, to acquire a sample size of 367 respondents. The data were acquired via the distribution of questionnaires and the examination of relevant documents. The collected data underwent descriptive analysis using IBM SPSS statistics version 26, and inferential analysis was performed using PLS-SEM with the assistance of SmartPLS 4 software. The study's results validate a significant statistical moderating impact of the legal framework on the relationship between performance expectancy and attitude towards adoption of e-procurement system. On the other hand, adoption of e-procurement system is impacted by performance expectancy and relative advantage, which have both direct and indirect significances. Attitudes have a direct impact on the adoption of eprocurement system. This study proposes that future research should include respondents from several countries to improve the applicability of the suggested model. [ABSTRACT FROM AUTHOR]