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The purpose of this research is to investigate factors influencing the intention of villagers to use renewable energy. In this regard, by using the modified model of planned behavior, perceived behavioral control factors, perceived usefulness, perceived ease, mental norm and attitude toward energy sources for the intention of villagers to use energy sources. Therefore, the impact of each of these five variables was investigated in the form of research hypotheses.

This research has been done using a quantitative paradigm and a descriptive-correlation method. The statistical population of the study consisted of households (384) living in rural areas of Ilam province. A multistage cluster method was used to select the sample size. The data collection tool was a researcher-made questionnaire that was developed based on the research background and research problem. Face validity of the research tool by professors of Islamic Azad University of Ilam and construct validity and reliability of research tools were confirmed by Cronbach’s alpha coefficient and composite reliability. Data were analyzed statistically using SPSS26 and SmartPLS3 software.

The results showed that the intention to use renewable energies (REs) among the rural peoples of Ilam province is affected by factors such as mental norms, attitude, perceived usefulness and perceived behavioral control and there is a positive and significant relationship between them.

In Iran, there is a lot of potential for usage of RE in rural communities, but compared to fossil fuels, had a small share in the current energy supply (Rezaei et al., 2022). RE technologies have not been sufficiently accepted and used by Iranian rural people (Rezaei and Ghafranfarid, 2018). Se the public acceptance of RE technologies is vital for successful process energy transfer (Huijts et al., 2012), non-acceptance of RE by society is a major obstacle to establishing RE technologies in Iran (Savari and Razmavar, 2022). It is expected that this research will fill the gap in the research literature.

Drawing on the integrative perspective of the technology acceptance model (TAM) and theory of planned behaviour (TPB) and extending it further by examining the role of organisational facilitators and perceived HR effectiveness in this integrative perspective, we examine HR professionals’ AI-augmented HRM (HRM^(AI)) acceptance in this research.

The data (N=375) were collected from HR professionals working in different organisations in India. Structural equation modelling (SEM) was employed to analyse the data.

The results of the study suggest that along with organisational facilitator antecedents to the relevant components of both TAM and TPB, perceived HR effectiveness also enhanced the HRM^(AI) acceptance levels of HR professionals.

The research findings are expected to contribute to the understanding of the factors that influence the acceptance of AI-augmented HRM in organizations. The results may also help organisations to identify the facilitators that can enhance the adoption and implementation of AI-augmented HRM by HR professionals. Finally, the study provides a composite TAM-TPB theoretical framework that can guide future research on the acceptance of AI-augmented HRM.

To the best of our knowledge, this is one of the first attempts to factor in the effect of contextual factors (i.e. organisational facilitators and perceived HR effectiveness) in the TAM and TPB equations.

This study aims to explore the consumers’ choices of mobile payments (m-payments) using a comprehensive unified model. The financial technology for digital m-payment has been increasingly introduced in the market, yet their acceptance has remained low.

This study uses the unified theory of acceptance and use of technology (UTAUT) with additional constructs of social influence, trust, anxiety, personal innovativeness and grievance redressal (GR). Structural equation modeling is used to evaluate the predictive model of attitudes toward m-payment. Individuals’ responses to questions regarding their attitude and intention to accept m-payment were gathered and examined through the lens of extended UTAUT model.

While the model supports TAM classical role, empirical examination of the model revealed that users’ attitudes and intentions are influenced by trust, personal innovativeness and social influence. Moreover, intention to use and GR are significant positive predictors of m-payment usage behavior.

M-payment provides customers with new digital payment platforms while providing businesses and marketing agents with more alternatives for online marketing. However, there is not much reported about m-payment adoption in Pakistan. This research introduces and evaluates new constructs that were not included in the original model. In Pakistan, to the best of the authors’ knowledge, this is a first of its kind of research which is purely based on the customers’ perspective of m-payment adoption.

Despite significant advances in previous work, there are still gaps in the research on customers' acceptance of virtual fitting rooms (VFRs). This research aims to highlight the effects of the characteristics of VFRs on the intention to use.

Fashionable clothing shoppers in Harmony Shopping Plaza and Ginza Shopping Plaza in Jinan, China, were chosen as the main sample. A total of 304 valid questionnaires were collected using a questionnaire QR code, which was scanned to access the questionnaire. Structural equation modeling was used to test the relevant hypotheses.

The results showed that customers' usage intention (UI) was positively associated with perceived efficiency, design and perceived security. Furthermore, the mediating effects of perceived ease of use and perceived usefulness were significant between design, vividness and UI.

In contrast to existing research, which focuses primarily on the posterior effects of psychological perception and behavior, this paper focuses on the antecedents of customer psychological perceptions. This study also examines the moderating effect of fashion consciousness, which also provides reference value for future research. The findings of this paper provide practical guidance for the promotion of VFRs.

Sharia-compliant financial technologies (Islamic fintech) are becoming increasingly popular among Muslims and non-Muslims. As the Islamic fintech landscape continues to grow and transform, it is crucial to understand the factors that influence the acceptance or adoption of Islamic fintech services from the past literature. Therefore, this paper aims to conduct a systematic literature review (SLR) to investigate and compile factors that could influence a user to adopt Islamic fintech.

The current study adopted the systematic literature review approach using Preferred Reporting Items for Systematic Reviews and Meta-Analyses technique to examine research on Islamic fintech adoption. A set of inclusion criteria was applied to filter out irrelevant documents and ensure the selection of only the most relevant ones. The criteria were limited to quantitative journals published in English between 2012 and 2022, as identified in Scopus outlets.

Despite the existence of various theoretical frameworks, the technology acceptance model and Unified Theory of Acceptance and Use of Technology 2 frameworks have gained prominence as the most frequently applied frameworks in examining Islamic fintech adoption. In addition, trust is the most important self-developed construct for the adoption of Islamic Fintech.

The current study does not segregate the intention, actual usage and retention, as the author is interested in understanding the overall adoption of Islamic fintech services. To obtain more specific analysis results, future research could potentially separate the three types of adoption exposure, i.e., consumer acceptance, intention and retention. Next, future studies can also expand their analysis and gain a better understanding of the research topic by exploring alternative data sources such as Web of Science, ERA or JSTOR.

To the best of the author’s knowledge, this study makes a significant contribution to the literature by providing the first systematic literature review of factors influencing fintech adoption from an Islamic perspective.

Generative pretrained transformers (GPTs), soaring to one million users at lightning speed, outpaced social media giants (15 times faster) (Buchholz, 2023). Despite this, scant research explored GPT’s impact on the digital entrepreneurial intentions (EIs) of students and tech-savvy generations. This study aims to pioneer a fusion of the technology acceptance model (TAM) and the theory of planned behavior (TPB), bridging the gap in research.

In this bold quantitative quest, business administration students became fearless participants, engaging in a survey of profound significance. Guided by the mighty powers of G*Power and Stata’s structural equation modeling builder, the intricate relationships within a robust sample of (n = 400) were unraveled.

The mediating power of GPT usefulness and GPT ease of use part of the TAM emerges, paving the way for a future brimming with digital entrepreneurship (DE) boundless possibilities. Predictably, the study found that TPB constructs also affect the EI of students.

This groundbreaking study brings together the powerful combination of TAM and TPB, while pioneering the exploration of GPT models’ mediating role. Its findings offer invaluable contributions to the field of DE and policymakers.

Airline self-service technology (SST) has attracted attention from both the academic and aviation sectors. As the use of SST can reduce airlines’ operating costs, investigating SST usage at airports is particularly important for the aviation sector. The extant literature has explored users’ SST usage intention, but users’ switching intentions from traditional manual counter services to SST is still limited. Therefore, to address this issue, we used the push–pull–mooring (PPM) theoretical framework to develop a research model to explore user switching intention.

We utilized a mixed-methods approach. A qualitative approach (i.e., semistructured interviews) was first employed to recognize and choose the candidate factors. Then, we collected 450 valid responses through an online survey to test the model. The partial least squares method was used for data analysis.

We found that several push (perceived dissatisfaction and perceived inconvenience), pull (perceived ease of use, perceived usefulness and service process fit), and mooring (personal innovativeness and inertia) factors significantly influence switching intention. Additionally, mooring factors exert contextual effects on the relationships between push and switching intentions and between pull factors and switching intentions.

This study contributes to the literature by further increasing our understanding of user switching intentions regarding SSTs from the PPM perspective and offering guidance for the aviation sector to attract and retain customers.

Based on the technology acceptance model theory, this study aims to explore whether perceived usefulness (PU), perceived ease of use (PE) and the availability to embrace technology (AET) influence the intention to accept an enterprise resource planning (ERP) system in Jordanian companies. It also analyses the influence of the intention to accept ERP system on ERP system adoption. More crucially, the current research fills a gap in earlier investigations by exploring the influence of adopting an ERP system on accounting information quality moderated by a company size.

This research seeks to provide evidence about the study context from Jordanian companies, as the research population and sample consist of all companies listed on the Amman Stock Exchange in 2022 (totally 170 companies). This signifies that the research method is a complete survey of the study population. The core data were collected using an online survey via Google Forms. It was emailed to the selected companies’ chief financial officers. Because each company received one online survey questionnaire, this unit of analysis is a company. Finally, 141 questionnaires were returned, reflecting an 82.94% response rate.

Empirically, the findings reveal that PU, PE and AET influence the intention to accept an ERP system, and that there is a positive relation between the intention to accept an ERP system and ERP system adoption. Furthermore, ERP system adoption positively influences relevance and faithful representation of accounting information moderated by company size.

This research adds to the accounting information quality literature by investigating the direct influence of ERP system adoption. Furthermore, the findings show the effectiveness of ERP system adoption and its regulatory roles in companies. Finally, this research was conducted to provide empirical knowledge on ERP system adoption in developing countries, notably Jordan.

Today, e-government (electronic government) applications have extended to the frontiers of health-care delivery. E-Nabız contains personal health records of health services received, whether public or private. The use of the application by patients and physicians has provided efficiency and cost advantages. The success of e-Nabız depends on the level of technology acceptance of health-care service providers and recipients. While there is a large research literature on the technology acceptance of service recipients in health-care services, there is a limited number of studies on physicians providing services. This study aims to determine the level of influence of trust and privacy variables in addition to performance expectancy, effort expectancy, social influence and facilitating factors in the unified theory of acceptance and use of technology (UTAUT) model on the intention and behavior of using e-Nabız application.

The population of the study consisted of general practitioners and specialist physicians actively working in any health facility in Turkey. Data were collected cross-sectionally from 236 physicians on a voluntary basis through a questionnaire. The response rate of data collection was calculated as 47.20%. Data were collected cross-sectionally from 236 physicians through a questionnaire. Descriptive statistics, correlation analysis and structural equation modeling were used to analyze the data.

The study found that performance expectancy, effort expectancy, trust and perceived privacy had a significant effect on physicians’ behavioral intentions to adopt the e-Nabız system. In addition, facilitating conditions and behavioral intention were determinants of usage behavior (p < 0.05). However, no significant relationship was found between social influence and behavioral intention (p > 0.05).

This study confirms that the UTAUT model provides an appropriate framework for predicting factors influencing physicians’ behaviors and intention to use e-Nabız. In addition, the empirical findings show that trust and perceived privacy, which are additionally considered in the model, are also influential.

The purpose of this study is to examine the acceptance factors of e-learning among students in high schools. In this study, researchers used a combination of system acceptance models, namely UTAUT2 and TOE. The UTAUT2 framework is used to explore technology acceptance from the context of individual behavior, while TOE is used to understand technology acceptance from the organizational context based on the perspective of students, as it results in a better choice to anticipate the relationship between the acceptance of technological innovation in high schools.

This study used quantitative methods. The sample in this study amounted to 212 people who were high school students who had just tried using SIDEK-Edu. This study uses Partial Least Square-Structural Equation Modeling (PLS-SEM) to analyze the measurement model and structural model with WarpPLS version 6 software.

Based on the results of the tests carried out, out of a total of 16 hypotheses, 6 hypotheses were accepted and 10 hypotheses were rejected. Research findings from the individual context show that performance expectancy, social influence, and learning value have a positive and significant effect on behavioral intention to use SIDEK-Edu innovation technology. Furthermore, judging from students' perceptions in the organizational context, only relative advantage has a positive and significant effect on behavioral intention, while compatibility, ICT resources, and competitive pressure do not.

The limitations of this research are that this research uses a homogeneous sample of high school students, this research only focuses on the high school level, this research is limited to the dominant variables in measuring the acceptance of SIDEK-Edu innovation technology.

Input to the high school, both the organization, teachers, and also decision makers in the organization. This makes it easier for all parties to design and implement the system they have so that it is as expected, In addition, the existence of SIDEK-Edu also provides a new learning method experience in learning accounting which is very beneficial for high school students, especially vocational high school.

SIDEK-Edu is a new innovative technology to research and is an LMS that focuses on accounting learning (theory room and practice room in one learning media). In addition, the model used in the study is a combination of models (UTAUT2-TOE) to indentify e-learning acceptance.