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Electric vehicles can be a solution to certain social problems in Indonesia, such as pollution and an increase in consumption of energy from fossil fuels, which cannot be met by domestic production. The discussion of the TPB theoretical model, UTAUT2, and risk perception, using the structural equation modeling (SEM) method, in this study aims to provide an overview of the factors that drive interest in adopting electric vehicles in Indonesia. Data were collected from 526 respondents in various cities located in Indonesia. The results showed that the model can estimate the study variables adequately. The constructs of TPB such as attitude toward use (ATU), subjective norm (SBN), and perceived behavior control (PBC) positively affect interest in using electric vehicles. Meanwhile, ATU is influenced by performance and effort expectancies, hedonic motivation, price value, as well as functional, financial, and social risks. Another factor, known as PBC, is influenced by certain facilitating conditions. The ATU factor is the most influential on the use of electric vehicles, therefore factors such as performance expectancy, effort expectancy, hedonic motivation, price value, functional risk, financial risk, and social risk need to be properly analyzed.

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.

The UTAUT model has been extensively applied in fields like information technology and education, but its application in the agricultural sector, regarding cold chain technology adoption among vegetable producers, remains scarce. Despite its potential to reduce significant post-harvest losses and improve food security, the adoption of CCT remains limited in low-resource agricultural settings. Using data collected from 87 vegetable producers and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM), the study examines the influence of performance expectancy, effort expectancy, social influence, and facilitating conditions on behavioral intention. Data from 87 vegetable producers who used the technology was collected to test the hypothesized model. The model explained 58.9% of the variance in adoption intention, with performance expectancy (β = 0.491, p ≤ 0.000), social influence (β = 0.211, p ≤ 0.05), and facilitating conditions (β = 0.206, p ≤ 0.05) emerging as significant predictors. The Effort expectancy, while positively perceived, did not show a significant effect, suggesting that ease of use is secondary to perceived utility. The findings underscore the importance of performance-driven messaging, peer influence, and supportive infrastructure in scaling agro-technologies. In conclusion, Vegetable producers indicate willingness to accept, adopt and use the technology; it is recommended that the training on the operation of the technology should be taken into account. This research contributes to the technology adoption literature in agriculture and informs policy and practice aimed at enhancing food system resilience and achieving sustainable development outcomes.

This paper extends the UTAUT model to examine microlearning adoption in the Vietnamese telecommunication industry. A self-administered survey was implemented to collect data from the three biggest Vietnamese telecommunication companies. After two months, we received 349 valid questionnaire responses. The structural equation modeling (SEM) analysis was run in SmartPLS to test the proposed hypotheses. Our research findings revealed that performance expectancy is the most crucial factor determining employees’ intention to use the microlearning system. In addition, effort expectancy and management support positively impact the intention to use the system. However, social influence and facilitating conditions do not statistically influence the intention to use microlearning. Our findings suggest that corporate managers should give more attention to the design of the e-learning system so that microlearning can be integrated into different platforms to facilitate employees’ access to the system. Furthermore, managers should showcase to promote microlearning adoption by employees. U ovom se radu proširuje model UTAUT kako bi se ispitalo usvajanje mikroučenja u vijetnamskoj telekomunikacijskoj industriji. Provedena je samostalna anketa za prikupljanje podataka triju najvećih telekomunikacijskih tvrtki u Vijetnamu. Nakon dva mjeseca dobili smo 349 valjanih odgovora na upitnik. Analiza modeliranja strukturnih jednadžbi (SEM) provedena je u SmartPLS-u kako bi se testirale predložene hipoteze. Rezultati našeg istraživanja otkrili su da je očekivani učinak najvažniji čimbenik koji određuje namjeru zaposlenika da koriste sustav za mikroučenje. Osim toga, očekivani napor i podrška menadžmenta pozitivno utječu na namjeru korištenja sustava. Međutim, društveni utjecaj i olakšavajući uvjeti statistički ne utječu na namjeru korištenja mikroučenja. Naši nalazi sugeriraju da bi korporativni menadžeri trebali posvetiti više pozornosti dizajnu sustava za e-učenje kako bi se mikroučenje integriralo u različite platforme s ciljem da se zaposlenicima olakša pristup sustavu. Nadalje, menadžeri bi trebali primjerom promovirati zaposlenike za usvajanje mikroučenja.

The unified theory of acceptance and use of technology (UTAUT) is a little over a decade old and has been used extensively in information systems (IS) and other fields, as the large number of citations to the original paper that introduced the theory evidences. In this paper, we review and synthesize the IS literature on UTAUT from September 2003 until December 2014, perform a theoretical analysis of UTAUT and its extensions, and chart an agenda for research going forward. Based on Weber's (2012) framework of theory evaluation, we examined UTAUT and its extensions along two sets of quality dimensions; namely, the parts of a theory and the theory as a whole. While our review identifies many merits to UTAUT, we also found that the progress related to this theory has hampered further theoretical development in research into technology acceptance and use. To chart an agenda for research that will enable significant future work, we analyze the theoretical contributions of UTAUT using Whetten's (2009) notion of cross-context theorizing. Our analysis reveals several limitations that lead us to propose a multi-level framework that can serve as the theoretical foundation for future research. Specifically, this framework integrates the notion of research context and cross-context theorizing with the theory evaluation framework to: 1) synthesize the existing UTAUT extensions across both the dimensions and the levels of the research context and 2) highlight promising research directions. We conclude with recommendations for future UTAUT-related research using the proposed framework.

The use of mobile applications (apps) has been growing in the world of technology, a phenomenon related to the increasing number of smartphone users. Even though the mobile apps market is huge, few studies have been made on what makes individuals continue to use a mobile app or stop using it. This study aims to uncover the factors that underlie the continuance intention to use mobile apps, addressing two theoretical models: Expectation confirmation model (ECM) and the extended unified theory of acceptance and use of technology (UTAUT2). A total of 304 questionnaires were collected by survey to test the theoretical framework proposal, using structural equation modelling (SEM). Our findings indicate that the most important drivers of continuance intention of mobile apps are satisfaction, habit, performance expectancy, and effort expectancy.

Angola’s public sector employees’ adoption of e-governance and its impact on organizational performance was the primary objective of this study. The research employed the UTAUT model to conduct an in-depth study and analyze organizational performance, e-governance, and behavioral intention in detail, formulating four hypotheses. To test the hypotheses, a quantitative research method was used to collect data using online surveys sent by SurveyMonkey. A total of 273 individuals participated in the survey, and each survey took around 45 min to complete. Statistical analysis was performed on the acquired data using the SPSS and AMOS programs. The results of the analysis supported three hypotheses and disproved one. The statistical research that resulted in insignificant results revealed that effort expectancy had no direct effect on the behavioral intention of adopting e-governance or the influence on organizational performance. On the other hand, the accepted hypotheses demonstrated that performance expectation, social influence, and facilitating conditions had direct positive effects on organizational performance and a mediating effect on the behavioral intention to adopt e-governance in the public sector of the Angolan state.

Governments have depended on public sector reforms to enhance accountability, openness, and effectiveness in government operations. This study aims to investigate whether the deployment of one of the products of such reforms namely the Integrated Personnel and Payroll Information System (IPPIS) in Nigeria's public sector has resulted in timely salary payments and the avoidance of financial leakages. The Unified Theory of Acceptance and Use of Technology (UTAUT) constitutes the theoretical basis of the study. This study uses mixed-method research design. The population of the study is 676 with a sample size of 251. Secondary and primary sources of data are used. The qualitative data are evaluated with descriptive evaluation, whereas the quantitative data are analysed with Chi-square. The study reveals that the introduction of IPPIS has resulted in prompt salary payments and the avoidance of financial leakages in Nigeria's Public sector. The report advocates that policy learning and the provision of relevant facilities, such as e-governance tools, help in the full implementation of IPPIS and improve government operations. The research contributes to the expanding body of research on public sector reform through e-governance.

Purpose The purpose of this paper is to introduce the importance-performance map analysis (IPMA) and explain how to use it in the context of partial least squares structural equation modeling (PLS-SEM). A case study, drawing on the IPMA module implemented in the SmartPLS 3 software, illustrates the results generation and interpretation. Design/methodology/approach The explications first address the principles of the IPMA and introduce a systematic procedure for its use, followed by a detailed discussion of each step. Finally, a case study on the use of technology shows how to apply the IPMA in empirical PLS-SEM studies. Findings The IPMA gives researchers the opportunity to enrich their PLS-SEM analysis and, thereby, gain additional results and findings. More specifically, instead of only analyzing the path coefficients (i.e. the importance dimension), the IPMA also considers the average value of the latent variables and their indicators (i.e. performance dimension). Research limitations/implications An IPMA is tied to certain requirements, which relate to the measurement scales, variable coding, and indicator weights estimates. Moreover, the IPMA presumes linear relationships. This research does not address the computation and interpretation of non-linear dependencies. Practical implications The IPMA is particularly useful for generating additional findings and conclusions by combining the analysis of the importance and performance dimensions in practical PLS-SEM applications. Thereby, the IPMA allows for prioritizing constructs to improve a certain target construct. Expanding the analysis to the indicator level facilitates identifying the most important areas of specific actions. These results are, for example, particularly important in practical studies identifying the differing impacts that certain construct dimensions have on phenomena such as technology acceptance, corporate reputation, or customer satisfaction. Originality/value This paper is the first to offer researchers a tutorial and annotated example of an IPMA. Based on a state-of-the-art review of the technique and a detailed explanation of the method, this paper introduces a systematic procedure for running an IPMA. A case study illustrates the analysis, using the SmartPLS 3 software.

This paper extends the unified theory of acceptance and use of technology (UTAUT) to study acceptance and use of technology in a consumer context. Our proposed UTAUT2 incorporates three constructs into UTAUT: hedonic motivation, price value, and habit. Individual differences — namely, age, gender, and experience — are hypothesized to moderate the effects of these constructs on behavioral intention and technology use. Results from a two-stage online survey, with technology use data collected four months after the first survey, of 1,512 mobile Internet consumers supported our model Compared to UTAUT, the extensions proposed in UTAUT2 produced a substantial improvement in the variance explained in behavioral intention (56 percent to 74 percent) and technology use (40 percent to 52 percent). The theoretical and managerial implications of these results are discussed.