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This study aims to explicate consumers’ intentions to use online food delivery systems (OFDS) subscription services. The study revisited the unified theory of acceptance and use of technology.

A typical methodology that involved a confirmatory factor analysis, followed by structural equation modeling, was used to test the hypotheses using a sample of 573 OFDS users from the USA.

The results revealed that social influence has the most significant impact on consumers’ intentions to use OFDS subscription services, while effort expectancy and perceived security have relatively lower impacts on consumers’ intentions to use OFDS subscription services. In addition, the study revealed the role of compatibility and convenience orientation in shaping consumers’ OFDS system perceptions (e.g. performance and effort expectancy).

The results provide several theoretical and managerial implications and open new avenues for future research. The study advances the literature by validating the set of antecedents of important core perceptions (e.g. performance expectancy and effort expectancy). The study also provides implications for two types of practitioners, such as OFDS and restaurants.

To the best of the authors’ knowledge, this is the first study to examine consumers’ intentions to use OFDS subscription services. This study is also the first to examine key factors influencing consumers’ intentions to use OFDS subscription services.

本研究旨在阐明消费者使用在线订餐（OFDS） 订阅服务的意图。该研究重新审视了 Unified Theory of Acceptance and Use of Technology 理论（UTAUT2）。

本研究采用典型的量化研究方法, 包括确认性因子分析和结构方程建模, 并使用来自美国的573名OFDS用户的样本来测试假设。

结果显示, 社会影响对消费者使用OFDS订阅服务的意图具有最显著的作用, 而努力期望和感知安全对消费者使用OFDS订阅服务的意图影响较小。此外, 研究揭示了兼容性和便利性取向在塑造消费者对OFDS系统感知（例如, 性能和努力期望）方面的作用。

研究结果提供了多方面的理论和管理启示, 并为未来研究开辟了新的途径。本研究通过验证重要核心感知（例如, 性能期望和努力期望）的前因完善了相关文献。另外, 本研究还为OFDS和餐厅等两类从业者提供了重要启示。

本研究是第一个调查了消费者使用OFDS订阅服务意图的研究, 也是首次研究了影响消费者使用OFDS订阅服务意图的形成因素。

This research empirically studies consumers' continued intention to use mobile food delivery applications (apps) during the post-pandemic era in Saudi Arabia.

Using the unified theory of adoption and use of technology 2 (UTAUT2) as a theoretical model, this study collected data from a survey of 304 Saudi Arabian consumers. Structural equation modelling (SEM) was used to examine the proposed model and its hypotheses.

Social influence and performance expectancy (PE) had the strongest effects on the intention to continue using mobile food delivery apps in the post-pandemic era. In addition, effort expectancy (EE) significantly influenced PE regarding the adoption of food delivery apps. Meanwhile, EE was not an important predictor of the continued intention to use mobile food delivery apps in Saudi Arabia.

This study enriches the literature on consumers' continued intention to use food delivery apps in the post-pandemic era, a subject that has rarely been studied. In addition, this study expands the theoretical potential of the UTAUT2 model by examining the role of trust in continued intention and the effect of PE on EE in the adoption of food delivery apps during the post-pandemic era in Saudi Arabia.

The purpose of this study is to examine the factors influencing the adoption and utilization of the online examination portal (OEP) in Indian universities. This study combines the Unified Theory of Acceptance and Usage of Technology (UTAUT) and Task Technology Fit (TTF) to explain the user's intention to use an OEP at an Indian University.

This study's methodology combines UTAUT as a theoretical framework with TTF. It is conceptualized that TTF has a moderating effect on UTAUT's primary construct. The authors collected the data from 182 graduate students from an Indian university. PLS-SEM is used to identify the causal relationship between the constructs using the structural equation modeling (SEM) technique.

The findings will demonstrate the applicability of the constructs of performance expectancy, effort expectancy and facilitating conditions in influencing the usage intention and behavior of students towards OEP. The outcome will also demonstrate the moderating effect of TTF on the predictors of intention to use OEP at an Indian University.

The sample respondents who participated in the study are students at the Indian University in Pune. The selection of samples was based on convenience sampling. Future research should be conducted at a variety of geographic locations, educational levels, undergraduate and graduate schools, as well as multiple universities. To increase the objectivity of sample selection, the probabilistic sampling method can be used to select samples. For future studies, larger sample sizes (more than 182) can be collected in order to increase the generalizability and applicability of the findings to other developing markets.

The study will aid Indian universities in enhancing the effectiveness of OEP. The study will also demonstrate the users' perception of the portal and their willingness to use it. It will also assist the university administration in finalizing the examination portal's implementation strategy.

Very few studies have been published on the factors influencing the acceptance and utilization of specific online examination systems. To address this underrepresentation, the current article investigates the factors and criteria that influence students' intent to use the OEP. The authors conceptualize the model using UTAUT as a theoretical foundation, which is absent from the published literature on the OEP. The study incorporated UTAUT and TTF to determine the impact on OEP usage and intent. In addition, the study contributes by testing the moderating effect of TTF on the UTAUT variables that influence the intention to use OEP.

ChatGPT is an advanced artificial intelligence (AI) form that can generate human-like text based on large amounts of data. This paper aims to empirically examine the ChatGPT adoption level among Indian individuals by considering the key factors in determining individuals’ attitudes and intentions toward newly emerged AI tools.

This paper used “partial least square structural equation modeling” (PLS-SEM) to investigate the relation among several latent factors by applying a representative sample of 351 individuals.

This study found that trialability, performance expectancy and personal innovativeness significantly influence individuals' attitudes, while compatibility and effort expectancy do not significantly impact attitudes. Additionally, trialability, performance expectancy, effort expectancy, personal innovativeness and attitude significantly influence behavioral intentions. However, compatibility has an insignificant impact on behavioral intention. Moreover, the research highlights that attitude and behavioral intention directly correlate with actual use. Specifically, the absence of compatibility makes people hesitate to use technology that does not meet their specific needs.

These unique findings provide valuable insights for technology service providers and government entities. They can use this information to shape their policies, deliver timely and relevant updates and enhance their strategies to boost the adoption of ChatGPT.

This paper is one of the pioneering attempts to exhibit the research stream to understand the individual acceptance of ChatGPT in an emerging country. Moreover, it gained significant attention from individuals for delivering a unique experience and promising solutions.

This paper aims to examine the factors that influence bank customers’ acceptance towards FinTech using the unified theory of acceptance and use of technology (UTAUT) model.

A survey was carried out, and a judgemental sampling method was used. Moreover, over 200 responses were gathered from individuals that were bank account holders. Besides, the literature on the factors that influence an individual acceptance towards FinTech using the UTAUT model was also reviewed as an effort to contribute towards the factors that are significant in predicting the acceptance of FinTech services.

The results of the study revealed that performance expectancy and effort expectancy are the main factors in determining the acceptance of FinTech services. Moreover, consumer innovativeness plays an important role in the acceptance of FinTech by bank users. In contrast, social influence and facilitating conditions were not the determinants of FinTech acceptance in Pakistan.

This study not only contributed to the theoretical extensions but also to practical implications, which would benefit the community of FinTech service providers in Pakistan.

The limitations of this study were two but are not limited to, firstly, the respondents which were taken among bank customers in Pakistan, confining its contribution to the narrowed perspective of Pakistan. Besides, this study also considers its contributions towards the use of the UTAUT in which the factors examined were specific, which may elucidate that the generalization of the findings only includes FinTech, where the UTAUT comes into play. This study is an eye-opener for the merging perspective of both the UTAUT and FinTech.

UTAUT is extended in the context of FinTech. Consumer innovativeness is incorporated in the context of the UTAUT model. Consumer innovativeness is yet to be tested and for that this study is a useful reference for academicians, policymakers and future researchers.

This study aims to examine the mediating role of social influence on the relationship between key predictors of E-pharmacy adoption among young consumers based on the unified theory of adoption and use of technology (UTAUT).

This study employs a quantitative correlational research design. Based on cluster sampling, data was collected from 306 university students from three public universities in southwestern Nigeria. Data was analysed using partial least square structural equation modeling.

The primary determinant driving the adoption of e-pharmacy is performance expectancy. Social influence plays a partial mediating role in linking performance expectancy to e-pharmacy adoption. In contrast, it fully mediates the relationship between effort expectancy, facilitating conditions and the adoption of e-pharmacy services.

This study provides theoretical clarity on recent issues within the UTAUT framework. Findings highlight the complexity of how social factors interact with individual beliefs and external conditions in determining technology acceptance.

Research includes information relevant to access the impact of e-pharmacy services on healthcare accessibility, affordability and quality in developing countries.

The findings extend the adoption of technology literature in healthcare and offer a new understanding of adoption dynamics. The results emphasize the importance of performance expectancy in driving e-pharmacy adoption, providing a clear direction for stakeholders to enhance service quality and user experience of e-pharmacy. Additionally, the mediating effect of social influence highlights the significance of peer recommendations, celebrity endorsements and social media campaigns in shaping consumer adoption of e-pharmacies among young people.

Zakat has succeeded in becoming one of the safety nets for welfare during the crisis. As a result, continuous improvement is a necessity, especially through strengthening technology adaptation. This study aims to explore the factors determining Muslim behavior on their intention to pay zakat by taking into consideration the adoption of digital technology using the modified Unified Theory of Acceptance and Use of Technology (UTAUT).

The data collected were 265 respondents who live in urban and suburban areas. They were processed using the partial least square structural equation modeling (PLS-SEM) design. Furthermore, the multigroup analysis (MGA) was conducted to capture the difference results between urban and suburban.

The findings show that performance expectancy, social influence, facilitating conditions, perceived security and privacy and zakat literacy significantly increase the intention of Muzakki to adopt financial technology. Perceived security and privacy has succeeded in being an important predictor of digital payment adoption for Muzakki. This paper provides a specific description of the adoption of Muzakki living in urban and suburban areas by using MGA. The research findings illustrate that there is a different urgency between the related variables. Suburban communities have more significant results regarding the research model used.

This research provides new component variables that can drive individuals’ intentions to use digital services to pay zakat online by using the redesigned UTAUT model. Further research can explore more variables related to zakat digitalization, such as social media interaction, by conducting in-depth interviews with stakeholders to improve zakat performance in this digital era.

The result of this research recommends that zakat institutions enhance their zakat literacy and education among the Muslim population to improve zakat performance. The government should pay attention to the digital ecosystem to attract the community to use a digital platform.

This research modified the UTAUT model by integrating several other important constructs to produce more comprehensive findings in investigating the factors that can influence an individual's intention to pay zakat through an online digital platform. This study also examined the indirect effect to obtain significant results by positioning perceived security and privacy as an intervening variable. The implementation of the MGA was conducted to divide research respondents into two categories (urban and suburban) and compare the test results.

Business simulation games (BSGs) are gaining popularity in higher education as tools for entrepreneurial education. However, there are challenges in using BSGs for large classes of students in historically disadvantaged institutions (HDIs). The challenges include limited resources and digital literacy skills.

The living standards measure (LSM) indicates socioeconomic status by measuring the degree of urbanisation, access to services and possession of assets, such as mobile phones. This research investigated the impact of students' living standards on their intention to use BSGs, as there is limited research.

This study used positivism and added LSM to the Unified Theory of Acceptance and Use of Technology (UTAUT) model. Quantitative data from 224 third-year information system students at an HDI were collected through an online survey. Structured Equation Modelling was used to analyse the data.

Results indicated that performance expectancy and social influence significantly influenced the intention to use BSGs. However, the relationship between effort expectancy and behavioural intention facilitating conditions was not significant. The introduction of LSM as a moderator for the relationships between all variables and behavioural intention also proved to be insignificant.

The result was unexpected, as we posited that a lower LSM would affect students' intention to use BSGs. This was not proven in this study and could be related to students accessing campus resources. However, during times when access to campus is restricted, such as protest action, the result may change for students with lower LSM.

Cashless payment is gradually replacing physical currency in almost every financial transaction across the world. Even though cashless payment methods have been available in Malaysia since a decade ago, their usage has remained relatively low in comparison to other countries. This study aims to analyse the elements that affect the Malaysian youth’s adoption intention and actual use of cashless payment by extending the unified theory of acceptance and use of technology (UTAUT) model with two key factors (perceived security [PS] and lifestyle compatibility [LC]).

Data were gathered online from 364 Malaysian youths and processed using partial least squares structural equation modelling.

The findings revealed that performance expectancy (PE), LC and PS had a positive and substantial effect on the intention to use cashless payment (ICP). In contrast, effort expectancy (EE) and social influence did not have any considerable influence on ICP. Furthermore, ICP had substantial mediating effects between the adoption of cashless payment (ACP) and PE, LC and PS. In the analysis of the moderating effect of age, gender, experience and voluntariness, only experience had moderating effects on the associations between PE and ICP and between FC and ACP.

This study’s findings will be highly useful for marketers and the management as they plan their promotional and marketing tactics, with a focus on the factors that inspire customers to adopt cashless payments. Besides, architects and designers can benefit from the study results while designing and updating their services by consolidating consumers’ lifestyle standards as well as enhancing security features. Finally, governments may support service providers with security building through legislative measures and policy campaigns to strengthen the trustworthiness and mass adoption of contactless payment.

This study extended the UTAUT model with two new variables, i.e. PS and LC.

Although wearable health-monitoring technology (WHMT) has become a stimulus for public health, women’s acceptance rate of this technology appears to be low. Thus, this study intends to investigate the factors affecting women’s adoption of WHMT.

The unified theory of acceptance and use of technology–2 model has been used in this study as a research framework that has been extended to include lifestyle and attitude. The proposed extended framework is validated using primary data (n = 314) collected from female respondents using a structured questionnaire; the partial least square-based structural equation modeling technique is subsequently used to test the proposed hypothesis.

The results show that effort expectancy, social influence, price value, habit, attitude and lifestyle have significant positive effects on women’s behavioral intention to use WHMT and accelerate actual usage behavior. Notably, effort expectancy and habit exhibit the largest impact on behavioral intention. However, performance expectancy, facilitating conditions and hedonic motivation are not significantly associated with behavioral intentions.

The findings of this study are important for healthcare practitioners and service providers to comprehensively understand the factors that affect women’s behavioral intentions in line with their actual usage behavior. This insight will help policymakers design viable strategies regarding WHMT to promote its sustainable usage in least developed countries.

This study contributes novelty by using an extended model that links women’s attitudes and lifestyles to their adoption of WHMT. This study also fills the gaps in the existing literature on women’s behavioral intentions in the context of WHMT by showing novel associations in the domain of WHMT uptake.