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The e-wallet feature allows consumers to make payment by transferring digital money into their virtual wallets for in-application online payments or through Quick Response (QR) codes for physical purchases. This study examines the average usage, transaction size and factors influencing the intention to adopt e-wallet among consumers during the Covid-19 pandemic. A total of 153 responses were collected and analysed using Statistical Package for Social Sciences (SPSS) to determine descriptive statistics and conduct multiple regression analysis to verify that performance expectancy, social influence, facilitating conditions, and perceived security influence the intention to use e-wallets during the Covid-19 pandemic among consumers. Performance expectancy is the strongest factor while effort expectancy is the only factor that has no influence on the intention to use e-wallets during the Covid-19 pandemic. Additionally, this study reveals that due to the current situation, consumers are pushed to adopt e-wallets despite their security concerns, and they are willing to learn to use the platforms without considering the possibilities and risks. However, the usage of e-wallets as a medium of transaction is still low due to the lack of awareness and knowledge. The outcomes of this study to provided practical contributions for policymakers and service providers on the current acceptance of e-wallets in Malaysia and to help the e-wallet industry develop more reasonable business strategies. [ABSTRACT FROM AUTHOR]

As one of the most important industries of a country’s economy, banking is now faced the challenge of competition and demand from the customers to provide excellent service. In addition, the advancement of technology has opened up opportunities to increase service quality of banking offerings. One of the newest approaches is digital banking. Unfortunately, the literature is still limited in this area especially on the customer adoption of this service. The objective of this study is to find driving factors that contributes to the intention to use and reuse digital banking especially in generation Z and Millenials. It is hypothesized that there are six factors that might drive the intention, includes performance expectancy, effort expectancy, social influence, perceived service quality and hedonic motivation. It has also argued that intention is mediated by customer experience. Quantitative research was conducted to 105 respondents in Indonesia where digital banking is flourishing. The results provide valuable insights to the factors of digital banking usage intention in the future.

The emergence of Autonomous Vehicles (AVs) marks a significant advancement in the automotive industry, transitioning from driver-assistance technologies to fully autonomous systems. This change is particularly impactful in the Gulf Cooperation Council (GCC) region, which is a significant automotive market and technological hub. However, the adoption of AVs in the GCC faces unique challenges due to the influence of cultural norms and geographical characteristics. Our research utilizes a customized framework of the Unified Theory of Acceptance and Use of Technology (UTAUT), which is adapted to include cultural and geographical factors. This approach fills a gap in the existing literature by identifying and analyzing the key factors affecting the adoption of AVs in the GCC. Our findings indicate a difference in the receptiveness towards AVs among different demographics. Younger participants displayed a more favorable attitude towards AVs compared to older individuals. Additionally, gender and educational attainment play significant roles in the acceptance of AVs. Specifically, our results suggest that there are variations in acceptance rates among genders and individuals with varying levels of education. The United Arab Emirates (UAE) has a relatively high acceptance rate of AVs due to its advanced infrastructure and openness to technological innovations. Our study identifies facilitating conditions and performance expectancy as crucial determinants of intention to use AVs in the GCC. It emphasizes the importance of infrastructure readiness and the perceived advantages of AVs in promoting their adoption. [ABSTRACT FROM AUTHOR]

The e-wallet feature allows consumers to make payment by transferring digital money into their virtual wallets for in-application online payments or through Quick Response (QR) codes for physical purchases. This study examines the average usage, transaction size and factors influencing the intention to adopt e-wallet among consumers during the Covid-19 pandemic. A total of 153 responses were collected and analysed using Statistical Package for Social Sciences (SPSS) to determine descriptive statistics and conduct multiple regression analysis to verify that performance expectancy, social influence, facilitating conditions, and perceived security influence the intention to use e-wallets during the Covid-19 pandemic among consumers. Performance expectancy is the strongest factor while effort expectancy is the only factor that has no influence on the intention to use e-wallets during the Covid-19 pandemic. Additionally, this study reveals that due to the current situation, consumers are pushed to adopt e-wallets despite their security concerns, and they are willing to learn to use the platforms without considering the possibilities and risks. However, the usage of e-wallets as a medium of transaction is still low due to the lack of awareness and knowledge. The outcomes of this study to provided practical contributions for policymakers and service providers on the current acceptance of e-wallets in Malaysia and to help the e-wallet industry develop more reasonable business strategies.

Purpose: Technological advancements in games increased the popularity of online gaming. The rapid expansion of the eSports market may largely be attributed to the ever-increasing popularity amongst Generation Y amateur gamers. The primary objective of this study is to determine the factors influencing Generation Y amateur gamers' ongoing eSports gameplay intentions. Design/methodology/approach: This study used the extended unified theory of acceptance as the theoretical framework. Data analysis included exploratory principal component analysis, confirmatory factor analysis and path analysis. Findings: The results of the confirmatory factor analysis suggest that Generation Y amateur gamers' ongoing eSports gameplay intentions is an eight-factor model that is reliable, valid and has acceptable model fit. The results of the path analysis indicate that habit, price-value, flow, effort expectancy and facilitating conditions have a statistically significant positive influence on amateur gamers' ongoing eSports gameplay intentions, whilst social influence and hedonic motivation have a negative but non-significant influence on those intentions. Research limitations/implications: The sample was formed using only amateur eSports gamers. In this regard, the opportunity exists to research professional eSports gamers. This study only focussed on Generation Y members between 18 and 36 years old. As a result, there is an opportunity for researchers to research the different generations of South African eSports gamers to determine whether there are any differences or similarities between generational segments. Practical implications: The results of this study clearly indicate that flow, together with habit are salient contributors to ongoing gameplay intentions amongst amateur eSports gamers in South Africa. A reasonable assumption that can be made here is that flow is also instrumental in encouraging habitual gaming, which increases the importance of flow in overall ongoing gameplay intentions. This suggests that R&D expenditure should be directed at enhancing user engagement by building increased levels of flow into eSports games. Social implications: eSports game developers can also achieve a desired state of flow by creating daily challenges that reward players when the players achieve specific objectives, which will encourage gamers to enter a state of flow when provided with challenges to complete. However, these in-game challenges should have a variety of levels regarding difficulty, ranging from beginner, intermediate and advanced levels so as not to exceed the effort expectancy of different groups of players. Game developers should provide regularly updated challenges to gamers to ensure that eSports games remain enjoyable and does not become predictable. Originality/value: Given the nascence of research on eSports behaviour, the results of this study provide a novel addition to the knowledge pool, particularly in terms of amateur eSports behavioural intentions. Interestingly, hedonic motivation and social influence were non-significant negative predictors of Generation Y amateur gamers' ongoing eSports gameplay intentions. The recommendations provide various marketing strategies and opportunities for eSports business expansion. [ABSTRACT FROM AUTHOR]

DevOps software development approach is widely used in the software engineering discipline. DevOps eliminates the development and operations department barriers. The paper aims to develop a conceptual model for adopting DevOps practices in software development organizations by extending the unified theory of acceptance and use of technology (UTAUT). The research also aims to determine the influencing factors of DevOps practices’ acceptance and adoption in software organizations, determine gaps in the software development literature, and introduce a clear picture of current technology acceptance and adoption research in the software industry. A comprehensive literature review clarifies how users accept and adopt new technologies and what leads to adopting DevOps practices in the software industry as the starting point for developing a conceptual framework for adopting DevOps in software organizations. The literature results have formulated the conceptual framework for adopting DevOps practices. The resulting model is expected to improve understanding of software organizations’ acceptance and adoption of DevOps practices. The research hypotheses must be tested to validate the model. Future work will include surveys and expert interviews for model enhancement and validation. This research fulfills the necessity to study how software organizations accept and adopt DevOps practices by enhancing UTAUT. [ABSTRACT FROM AUTHOR]

The emergence of Autonomous Vehicles (AVs) marks a significant advancement in the automotive industry, transitioning from driver-assistance technologies to fully autonomous systems. This change is particularly impactful in the Gulf Cooperation Council (GCC) region, which is a significant automotive market and technological hub. However, the adoption of AVs in the GCC faces unique challenges due to the influence of cultural norms and geographical characteristics. Our research utilizes a customized framework of the Unified Theory of Acceptance and Use of Technology (UTAUT), which is adapted to include cultural and geographical factors. This approach fills a gap in the existing literature by identifying and analyzing the key factors affecting the adoption of AVs in the GCC. Our findings indicate a difference in the receptiveness towards AVs among different demographics. Younger participants displayed a more favorable attitude towards AVs compared to older individuals. Additionally, gender and educational attainment play significant roles in the acceptance of AVs. Specifically, our results suggest that there are variations in acceptance rates among genders and individuals with varying levels of education. The United Arab Emirates (UAE) has a relatively high acceptance rate of AVs due to its advanced infrastructure and openness to technological innovations. Our study identifies facilitating conditions and performance expectancy as crucial determinants of intention to use AVs in the GCC. It emphasizes the importance of infrastructure readiness and the perceived advantages of AVs in promoting their adoption.

In the age of technology, the usage of mobile payment apps is playing a significant role in financially strengthening urban areas. This research aiming to identify the enablers affecting the use of mobile technology by the urban poor households in Pune, Maharashtra, India and to identify the user behaviour in technology adaptation. The published literature was thoroughly reviewed with respect to mobile payment, financial technology, and financial inclusion. The data has been collected through a field survey. Simultaneously, a structural equation model is developed using Amos software and Spss is used to perform factor analysis. The theoretical framework is based on the Unified theory of acceptance and the use of technology (UTAUT-2) Model. The enablers are Performance Expectancy (PE), Economic Benefit (EB), Convenience, Technical conditions (TC), Hedonic motivation (HM), and Behavioural intention (BI), Social influence (SI) are impacting the use of mobile apps related to finance under the mediating effect of behavioral intention, thereby supporting financial inclusion. Gender, education, occupation, and income are the control variables. Men are more frequent users of mobile payment apps. This study is unique in the context of urban poor households regarding the use of m-payment app and to understand their behavior and actual usage pattern. The current study also has some implications for the banking and mobile technology industry. They may start new strategies for mobile industries and certain factors such as security, convenience, and technical conditions can influence customer intention of using m-payment apps; hence, it needs proper consideration. Simultaneously, banks and technology industries must verify their privacy norms and make it easy for customers to use technology.

Abstract This study examined how older adults of four different ethnic groups evaluate the spatial visualization training using 3D apparel design software. The model tested was derived from the Technology Acceptance Model (TAM) and a Unified Theory of Acceptance and Use of Technology (UTAUT). A quantitative research design with an online questionnaire using the purposive quota sampling was used. Structure equation modeling and ANOVAs were performed to test the hypotheses with 600 completed data. The result shows significant ethnic differences of the perceptions, attitude, and behavioral intention for our spatial visualization training. Especially, Asian Americans found the training easy to be involved with and were more likely to use it, whereas Caucasian Americans felt the training to be most difficult and were less likely to use it, compared to other ethnic groups. Also, perceived ease of use and the performance expectancy are cardinal in increasing the positive attitude toward the training. This study discovered the significant factors influencing the intention to use the apparel design virtual technology to improve cognitive functioning. The ethical differences found on the latent variables among four ethnic groups indicate the need of more thoughtful training development by considering the different cultural requirements and challenges.

Background: During the 2020 global coronavirus (COVID-19) outbreak, mobile delivery applications flourished, facilitating consumer access to groceries. Research has shown, however, that usage remains low in developing countries such as South Africa. Objectives: This research identifies factors that affect the acceptance and use of a mobile delivery application. It provides recommendations for application designers to improve application functionality and usability and for retailers to better understand customer needs. Method: This research adopted an interpretivist stance, utilising the Unified Theory of Acceptance and Use 2 (UTAUT2) as a theoretical framework. Data were collected and analysed from 4159 Google Play Store customer reviews using thematic content analysis. Reviews were anonymised, coded and categorised according to the UTAUT2 model constructs. Results: Performance expectancy and facilitating conditions were found to affect acceptance and use of the application. Effort expectancy, hedonic motivation and cost price had a moderate effect. Social influence, habit and price value did not impact the use of the mobile delivery application. Users will depend not only on recommendations from friends and family but also on service costs. Conclusion: This research revealed that users are more likely to accept and use a mobile delivery application if they find it helpful and receive quick assistance when facing technical challenges. Contribution: This research identifies factors that affect the acceptance and use of a mobile delivery application in a geographical area where usage remains low. Retailers may attract more customers and find more success in mobile delivery services by addressing customer concerns and challenges. [ABSTRACT FROM AUTHOR]

Background: During the 2020 global coronavirus (COVID-19) outbreak, mobile delivery applications flourished, facilitating consumer access to groceries. Research has shown, however, that usage remains low in developing countries such as South Africa. Objectives: This research identifies factors that affect the acceptance and use of a mobile delivery application. It provides recommendations for application designers to improve application functionality and usability and for retailers to better understand customer needs. Method: This research adopted an interpretivist stance, utilising the Unified Theory of Acceptance and Use 2 (UTAUT2) as a theoretical framework. Data were collected and analysed from 4159 Google Play Store customer reviews using thematic content analysis. Reviews were anonymised, coded and categorised according to the UTAUT2 model constructs. Results: Performance expectancy and facilitating conditions were found to affect acceptance and use of the application. Effort expectancy, hedonic motivation and cost price had a moderate effect. Social influence, habit and price value did not impact the use of the mobile delivery application. Users will depend not only on recommendations from friends and family but also on service costs. Conclusion: This research revealed that users are more likely to accept and use a mobile delivery application if they find it helpful and receive quick assistance when facing technical challenges. Contribution: This research identifies factors that affect the acceptance and use of a mobile delivery application in a geographical area where usage remains low. Retailers may attract more customers and find more success in mobile delivery services by addressing customer concerns and challenges.

This study examined how older adults of four different ethnic groups evaluate the spatial visualization training using 3D apparel design software. The model tested was derived from the Technology Acceptance Model (TAM) and a Unified Theory of Acceptance and Use of Technology (UTAUT). A quantitative research design with an online questionnaire using the purposive quota sampling was used. Structure equation modeling and ANOVAs were performed to test the hypotheses with 600 completed data. The result shows significant ethnic differences of the perceptions, attitude, and behavioral intention for our spatial visualization training. Especially, Asian Americans found the training easy to be involved with and were more likely to use it, whereas Caucasian Americans felt the training to be most difficult and were less likely to use it, compared to other ethnic groups. Also, perceived ease of use and the performance expectancy are cardinal in increasing the positive attitude toward the training. This study discovered the significant factors influencing the intention to use the apparel design virtual technology to improve cognitive functioning. The ethical differences found on the latent variables among four ethnic groups indicate the need of more thoughtful training development by considering the different cultural requirements and challenges. [ABSTRACT FROM AUTHOR]

Information and communication technology (ICT) is a new paradigm in the field of education and learning. This study aimed to investigate the causal model of acceptance and use of information and communication technology by students of Tabriz University of Medical Sciences in educational and research purposes based on the UTAUT model. This research is based on the nature and general features, quantitative research; based on the purpose, applied research and based on the research method, descriptive-correlational research based on structural equation model (SEM). The statistical population of the study is 1500 students of Tabriz University of Medical Sciences. The statistical sample of this study is 306 persons selected by proportional stratified random sampling. The data collection tool is the translation and combination of the standard questionnaire of Venkatesh et al (2003) and Akbar (2013), which has been refined by the researcher based on the Unified Theory of Acceptance and Use of Technology. The validity of the questionnaire was confirmed based on content, face and structural validity. The reliability coefficient of the questionnaire was 0.86 based on Cronbachchr('39')s alpha coefficient. Data were analyzed using descriptive statistics (frequency, mean, standard deviation and Pearson correlation coefficient) and inferential statistics (path analysis of structural equation model) using SPSS and LISREL software. The results indicate that performance expectancy, Attitude toward using technology, social influences, facilitating conditions, and self-efficacy with the mediating role of behavioral intention have a positive and significant causal effect on studentschr('39') behavior in using technology. Effort expectancy with the mediating role of behavioral intention has no effect on studentschr('39') behavior in using technology. Anxiety with the mediating role of behavioral intention has a significant inverse causal effect on the behavior of students using technology.

Background: The auditing profession has been burdened with high costs and reputational damage resulting from false results because of a high dependency on manual tasks susceptible to errors or manipulation. Automating repetitive tasks with the use of robots can help minimise these errors to achieve efficiencies and cost reduction. Objectives: This study adopted a Unified Theory of Acceptance and Use of Technology (UTAUT) model to determine the factors influencing organisations to use robotics technology when performing auditing activities. Methods: The study was quantitative, using a survey consisting of 37 questionnaires and two semi-structured interview questions. The sample consisted of 59 professional auditors and 26 non-auditors involved in auditing in South Africa. Results: The study results show that performance expectancy and facilitating conditions are key factors that influence the adoption of robotics in the auditing profession. A lack of training, data quality, and inadequate investment in robotics technology are mentioned as critical barriers to adopting robotics in auditing. Management support, good change management processes and technology skills are quoted as potential key enablers of robotics technology in the auditing profession. Conclusion: The conclusion drawn from the study is twofold. Firstly, the performance management system and the business case for robotics in the auditing process should be linked to the tasks of auditors. Secondly, resources should be made available to support the use of technology in the profession. The study provides more insight into how leaders and management in the auditing profession could influence the adoption of robotics in auditing. [ABSTRACT FROM AUTHOR]

Objective: The purpose of the study was to explore the theoretical underpinnings of effective clinical decision support (CDS) factors using the comparative effectiveness results.Materials and Methods: We leveraged search results from a previous systematic literature review and updated the search to screen articles published from January 2017 to January 2020. We included randomized controlled trials and cluster randomized controlled trials that compared a CDS intervention with and without specific factors. We used random effects meta-regression procedures to analyze clinician behavior for the aggregate effects. The theoretical model was the Unified Theory of Acceptance and Use of Technology (UTAUT) model with motivational control.Results: Thirty-four studies were included. The meta-regression models identified the importance of effort expectancy (estimated coefficient = -0.162; P = .0003); facilitating conditions (estimated coefficient = 0.094; P = .013); and performance expectancy with motivational control (estimated coefficient = 1.029; P = .022). Each of these factors created a significant impact on clinician behavior. The meta-regression model with the multivariate analysis explained a large amount of the heterogeneity across studies (R2 = 88.32%).Discussion: Three positive factors were identified: low effort to use, low controllability, and providing more infrastructure and implementation strategies to support the CDS. The multivariate analysis suggests that passive CDS could be effective if users believe the CDS is useful and/or social expectations to use the CDS intervention exist.Conclusions: Overall, a modified UTAUT model that includes motivational control is an appropriate model to understand psychological factors associated with CDS effectiveness and to guide CDS design, implementation, and optimization. [ABSTRACT FROM AUTHOR]

Information and communication technology (ICT) is a new paradigm in the field of education and learning. This study aimed to investigate the causal model of acceptance and use of information and communication technology by students of Tabriz University of Medical Sciences in educational and research purposes based on the UTAUT model. This research is quantitative on the basis of the natural and general features, applied on the basis of the purpose, and descriptivecorrelational on the basis of the structural equation model (SEM). The statistical population of the study is 1500 students of Tabriz University of Medical Sciences. The statistical sample of this study is 306 persons selected by proportional stratified random sampling. The data collection tool is the translation and combination of the standard questionnaire of Venkatesh et al. and Akbar, which has been refined by the researcher based on the Unified Theory of Acceptance and Use of Technology. The validity of the questionnaire was confirmed based on content, face and structural validity. The reliability coefficient of the questionnaire was 0.86 based on Cronbach’s alpha coefficient. Data were analyzed using descriptive statistics (frequency, mean, standard deviation and Pearson correlation coefficient) and inferential statistics (path analysis of structural equation model) using SPSS and LISREL software. The results indicate that performance expectancy, attitude toward using technology, social influences, facilitating conditions, and self-efficacy with the mediating role of behavioral intention have a positive and significant causal effect on students’ behavior in using technology. Effort expectancy with the mediating role of behavioral intention has no effect on students’ behavior in using technology. Anxiety with the mediating role of behavioral intention has a significant inverse causal effect on the behavior of students using technology. [ABSTRACT FROM AUTHOR]

This study aims to investigate the tendency to the use of continuous auditing by internal audits in the companies listed in the Tehran Stock Exchange. The concept of continuous auditing backs to two decades ago, but despite its numerous advantages, the acceptance and use of it has been much slow. In this study, we interviewed with internal auditors in 75 companies to determine the state of use of continuous auditing. Using the unified theory of acceptance and use of technology, we found that there exist six reasons for the tendencies to the use of continuous auditing by internal auditors. Among them, ease of use, organizational support and social influences are the most important determinants of the tendencies. Also, of the remaining reasons, annual sales volume and voluntary use of auditing services moderate the relationship between organizational support and social influence, significantly. The last reason, promoting auditing function and specialty, could not be considered valid predictor for the proposed tendencies.

This article investigated the moderating effect of the perceived compatibility of agile methodologies in determining the actual success of a methodology. The researchers conceptualised the agile methodology perceived success by using cost, scope, time and quality to complete the project. The researchers further hypothesised that perceived compatibility has moderating effects towards agile methodology perceived success and its use. The theoretical framework was evaluated by means of data collected from IT professionals (n = 230). The objective of the study was to determine how agile methodology use and perceived compatibility influence agile methodology perceived success in South Africa. A survey was conducted among IT professionals and the results analysed using statistical methods. The results showed perceived compatibility to have a moderating effect towards agile methodology use, time and cost. Nevertheless, there was a lack of moderating effect of perceived compatibility with regard to agile methodology use and perceived quality, and agile methodology use and perceived scope. The results of this study formulate a comprehensive model that could provide a set of guidelines for agile methodology use to the agile methodology communities and other IT professionals in South Africa. [ABSTRACT FROM AUTHOR]

Blockchain technology, popularized by Bitcoin cryptocurrency, is characterized as an open-source, decentralized, distributed database for storing transaction information. Rather than relying on centralized intermediaries (e.g., banks) this technology allows two parties to transact directly using duplicate, linked ledgers called blockchains. This makes transactions considerably more transparent than those provided by centralized systems. As a result, transactions are executed without relying on explicit trust [of a third party], but on the distributed trust based on the consensus of the network (i.e., other blockchain users). Applying this technology to improve supply chain transparency has many possibilities. Every product has a long and storied history. However, much of this history is presently obscured. Often, when negative practices are exposed, they quickly escalate to scandalous, and financially crippling proportions. There are many recent examples, such as the exposure of child labor upstream in the manufacturing process and the unethical use of rainforest resources. Blockchain may bring supply chain transparency to a new level, but presently academic and managerial adoption of blockchain technologies is limited by our understanding. To address this issue, this research uses the Unified Theory of Acceptance and Use of Technology (UTAUT) and the concept of technology innovation adoption as a foundational framework for supply chain traceability. A conceptual model is developed and the research culminates with supply chain implications of blockchain that are inspired by theory and literature review.

Enterprise social media (ESM) are web-based platforms dedicated to corporate-based communication and collaboration. Although the practitioner literature and industry reports have suggested the potential value of ESM for organizations, there has been limited research that focuses on employees' reactions to ESM implementation and their post-implementation use behaviors. The authors conducted a mixed methods study of a large-scale ESM implementation in a Fortune 500 manufacturing company and found that widely used IT adoption models and determinants failed to explain employees' ESM use. To help explain this paradoxical finding, the authors leveraged their qualitative data and found several major challenges, both internal and external, that the company faced during ESM implementation. Their findings have a number of generalizable lessons for practice as well as implications for research. [ABSTRACT FROM AUTHOR]