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In view of the promising growth of FinTech in the Arab region, specifically in Egypt, this study identifies the significant factors likely to influence consumers’ acceptance intention toward e-payment products and services (mobile wallets, virtual-cards, mobile/online banking etc.).

Quantitative deductive research was used to investigate the extension of the unified theory of acceptance and use of technology (UTAUT) on consumers' e-payment acceptance intentions. Questionnaires were electronically administered through convenience sampling. Three hundred and ninety-nine questionnaires were analyzed through multiple regression to test the proposed hypotheses.

Performance expectance, facilitating condition, effort expectancy and social influence impact consumers' e-payment acceptance intentions. These factors contribute to the growing number of individuals using e-payments to the extent that e-payment eventually becomes a preferred medium for economic transactions. Hedonic motivation, price value and habit are insignificant in encouraging consumers' e-payment acceptance.

The study benefits to governments, policymakers, banking institutions, businesses involved in online transactions and software developers. They can utilize the findings to develop strategies aimed at increasing e-payment usage and overcoming cultural-resistance to changing traditional financial transaction methods. These methods align with the government’s goal of achieving a digital society.

This study presents information on the current state of e-payment acceptance. Its potential contribution lies in identifying the factors that influence the intention to e-payment among Arab consumers, thereby highlighting important considerations for the adoption of e-payment. Furthermore, this study supports UTAUT over UTAUT2 in the FinTech context. It suggests that individuals exhibit similar behavior and inspiration when using e-payment technology as they do when using technology in an organizational context.

Blockchain can track the material from the manufacturer to the end customers. Therefore, it can ensure the product's authenticity, transparency and trust in the retail supply chain (SC). There is a need to trace and track the retail products before it reaches the customers to check the quality of the products so that expired products can be recycled and reused, which in turn will help gain customers' trust. This research aims to investigate retail employees' behavioural intention to adopt blockchain in the retail SC.

To examine the behavioural intention of employees in the retail SC, the research uses three theories – the technology acceptance model; the unified theory of acceptance and use of technology; and the theory of planned behaviour. The technology acceptance model measures the employee's acceptance of blockchain in the retail SC. The unified theory of acceptance is used in this research to measure how blockchain adoption will improve the performance of the employees. The theory of planned behaviour is used in this research to measure whether the employees intend to adopt blockchain. A survey was carried out in the retail stores of India. Exploratory factor analysis and structural equation modelling were used for data analysis.

This study found that the employees of the retail stores have a positive intention and attitude to adopt blockchain technology. Further, it was found that perceived behavioural control and effort expectancy was not promoting blockchain adoption in the retail sector.

This study will help the retail stores' employees understand the blockchain in their operations and will motivate the top management of the retail companies to adopt this technology. The study is limited to the retail SC in India only.

This study uses three theories technology acceptance model; the unified theory of acceptance and use of technology; and the theory of planned behaviour, which were not used in earlier studies of blockchain adoption in the retail SC.

This paper aims to determine the entrepreneur's intention to accept artificial intelligence (AI) and provide advancement in the domain of digital entrepreneurship.

Extensive literature review and theories have been considered in the area of technology adoption/acceptance and digital entrepreneurship to identify the factors affecting the intention of entrepreneurs with respect to accept AI for digital entrepreneurship. Further, a model, artificial intelligence acceptance and digital entrepreneurship (AIADE) is theorized after formulating some hypotheses. The theorized model has been validated with 476 useable responses.

The findings revealed that performance expectancy, openness, social influence, hedonic motivations and generativity have a positive impact on entrepreneur's acceptance intention of AI. Additionally, affordance has no direct relationship with AI acceptance intention, but it affects AI acceptance intention through attitude. Inconvenience has a significant negative relationship with the intention to accept AI, while uncertainty was found to be positively affecting the AI acceptance intention. Effort expectancy did not confirm any significant relationship.

By considering existing theoretical models and concepts the authors contribute to the AI's theoretical progress, specifically in the domain of entrepreneurship. The authors complement and extend existing technology adoption/acceptance theories and digital entrepreneurship theories by developing a theoretical model, AIADE, explaining the entrepreneur's intention to accept AI.

The practical implications of the study show that performance expectancy (positive), openness (positive), social influence (positive), hedonic motivations (positive), generativity (positive), affordance through attitude (positive), uncertainty (positive), effort expectancy (negative) and inconvenience (negative) are the antecedents for the entrepreneurs to accept AI for digital entrepreneurship. The authors suggest that intentional improvement planning is developed by increasing entrepreneur's positive perceptions of AI affordance and explanation of its generativity and openness, and improving their attitude of using AI for digital entrepreneurship.

This is the first study that reveals the critical antecedents of entrepreneur's intention to accept AI for digital entrepreneurship. Relevant theoretical background, discussion, implications, limitations and future research recommendations are discussed.

Nigeria is a country with very low health insurance coverage, with only 3 per cent of its population in the public and private sector covered by conventional health insurance. This made it possible for the exploration of alternative methods of insurance in Muslim dominated northwestern Nigeria. Thus, this paper aims to extend the theory of planned behavior to understand the role of awareness in the acceptance of Islamic health insurance (takaful) among microenterprises in northwestern Nigeria.

The methodology used was a purely quantitative survey with data collected from seven states that form the northwestern Nigeria.

The findings revealed that attitude, social influence and perceived behavioral control have a significant direct influence on takaful acceptance intention among microenterprises in northwestern Nigeria, while awareness does not. It was also discovered that awareness of takaful moderates the influences of social influence and perceived behavioral control on takaful acceptance intention, but it failed to moderate the influence of attitude on takaful acceptance intention in the same context.

The implication is that despite the acceptance intention more awareness is required to enlarge the takaful market in the region. The study contributes to the theories of reasoned action and planned behavior through the integration of awareness as a moderator.

The work is pioneering, extent literature in the area of takaful failed in investigating the role of awareness as a moderating variables in Nigeria where much awareness of the concept is desirable.

The purpose of this paper is to investigate organizational information technology (IT) deployment from a dual decision-making perspective. This study builds on rational choice theory to characterize how the costs and values of incumbent IT and those of the corresponding new cloud computing influence a company's dual decision of discontinuance and acceptance.

This study chooses cloud computing as the research context, since it is one of the most well-accepted ITs in current practice. By using survey methodology, the data were collected from organizations around the world. Our hypotheses were examined via multimethod analyses, including the partial least squares, the multinomial log it regression and the analysis of variance.

This research reveals that organizations often follow the dual decision-making process in IT deployment regarding a non-cloud, hybrid structure and full-cloud considers incumbent IT discontinuance and new cloud computing acceptance. These results indicate that organizations may embrace cloud computing because of its perceived high system compatibility and low support costs. Meanwhile, security threats remain the primary obstacles to conducting business in the cloud.

Previous studies mainly focus on a single aspect and do not reveal the intricacies of the interactions between the reduction of incumbent IT and the addition of new IT. To address this gap in the body of knowledge, our study proposes a dual decision model based on a dialectical understanding of new and incumbent IT mechanisms instead of a singular IT acceptance model.

The diffusion of near-field communication (NFC) m-payment depends largely on retailers who are more motivated to provide NFC m-payment for the retailers' customers if NFC m-payment increases loyalty. Therefore, this paper investigates the relationship between customer acceptance of NFC m-payment and loyalty towards the retailer amongst Generation Z.

The NFC m-payment technology acceptance model was extended with loyalty intention towards the retailer. Therefore, an online survey was conducted amongst Generation Z that resulted in a sample of 310 respondents. The collected data were analysed by structural equation modelling (SEM).

Results proved that the customers' intention to use NFC m-payment contributes to a large extent to loyalty intention toward the retailer. Besides, usefulness, enjoyment, social influence and compatibility with lifestyle played a significant role in customer acceptance of NFC m-payment.

This study's sample consists of Generation Z customers, and other generations should also be tested in future studies.

The intention to use NFC m-payment predict retail loyalty. Retailers should communicate m-payment availability as a new retail service to influence store patronage.

This study provides theoretical contributions to NFC m-payment acceptance and retail loyalty literature. First, this research extends the NFC m-payment technology acceptance model with a new behavioural outcome, loyalty intention towards retailers. Second, this research enriched retail loyalty literature by proving that NFC m-payment technology adoption drives customer loyalty towards retailers.

With the function to store individual’s data input, personal health record (PHR) enhanced the accessibility to personal health information. This study aims to assess the factors that impact the intention of Malaysian internet users to use PHR and create a modified technology acceptance model (TAM) for eHealth.

Multivariate statistical analysis was performed on a total of 216 responses using the partial least square technique based on the cross-sectional survey among Malaysian internet users.

Behavioral intention was positively associated to PHR. Subjective norm significantly influenced both attitude and intention to use, whereas trust and perceived usefulness significantly influenced attitude. There was no significant positive impact in the relationships between compatibility and perceived ease of use and intention to use; nevertheless, they positively influenced perceived usefulness. Attitude exhibited mediating influence between trust, perceived usefulness and subjective norm and intention to use. Nonetheless, perceived risk did not affect behavioral intention. Thus, PHR acceptance was well-justified by the modified TAM in evaluating eHealth acceptance.

The eHealth vendors can enhance their marketing and development strategies on related products.

Literatures and empirical evidence on eHealth are still scarce, especially in emerging markets. The role of attitude may not be well-researched in health-care context, therefore was included in this study’s modified TAM. Critical determinants, namely, trust and risk, were added to the model.

This study aims to apply the service robot acceptance model (sRAM) to examine how attitude toward human–robot interaction (HRI) and engagement influence consumer acceptance of service robots in a frontline setting.

Data was collected from 255 visitors who interacted with a robotic tour guide at a city museum. The data was analyzed using smart PLS 4.0.

The findings show the positive effects of subjective norms, appearance, perceived trust and positive emotion on both attitude toward HRI and engagement. In addition, social capability impacted attitude toward HRI, whereas perceived usefulness affected engagement.

To deliver engaging museum experiences that bring about positive word-of-mouth and intention to visit, managers need to incorporate the sRAM dimensions in the design and deployment of service robots.

This research uses field data to empirically validate the sRAM in the context of service robot acceptance. It introduces engagement as a novel mediating variable, enriching current understanding of human-like qualities in HRIs.

Constant and frequent technological changes within organizations call for further scholarly attention, as behavioural intentions need to be coupled also with future learning intentions to predict the present and prospective individual adaptations and performance. This study, grounded on the technology acceptance model, aims to examine the association between training opportunities and behavioural and future learning intentions also taking into account the role of task–technology fit as a moderator.

A survey was carried out within a single organization in the water processing sector on a sample of 200 workers who recently experienced a technological change through the adoption of System Application and Product in data processing. A moderated–mediation model was estimated through regression analyses with bootstrapping.

The results were consistent with study hypotheses. In particular, task–technology fit amplified the positive association between perceived ease of use and training opportunities as well as the indirect effect of this latter on both behavioural and future learning intentions through perceived ease of use and perceived usefulness. In sum, the hypothesized moderated–mediation model was confirmed.

Three novelty factors of this study can be stressed: it is among the few studies carried out on Italian workers in the realm of technology adoption, it expanded the technology acceptance model by including traditional behavioural intentions and future learning intentions as outcome variables and it integrated the task–technology fit perspective within the technology acceptance model.

This study aims to investigate the behavioural intention and adoption of internet banking (IB) among clients of local and foreign Islamic banks in Malaysia.

Survey questionnaires were distributed among the Islamic banks’ clients at two main states, namely, Kuala Lumpur and Selangor. The number of clients involved is 319 (n = 319). The data was analysed using the partial least square (PLS) and theoretically, the research framework in this study is guided by the unified theory of acceptance and use of technology 2 (UTAUT2).

The smart PLS analysis yielded three main outcomes, namely, the variables such as performance expectancy, effort expectancy, price value, facilitating conditions and habit have a positive influence over the behavioural intention and subsequently lead to the adoption of IB. The other two variables, namely, social influence and hedonic motivation were negatively-related and insignificant for behavioural intention. Third, this paper also noticed that facilitating conditions and habits have a direct relationship with the adoption of IB.

Based on the findings, Islamic banks can take necessary action to design a better policy to further accelerate the usage of IB among their client. By identifying those factors, this, perhaps, can allow Islamic banks to invest more ideas on those significant factors that influence their interest, and subsequently leads to good business to Islamic banks as the clients nowadays are looking for simplicity and convenience factors when using IB.

This research is expected to enhance existing literature on internet banking, especially in Islamic banking research on the technological edge. Limited research has been done in Malaysia, particularly on the intention and continuous adoption of IB in Islamic banks using the UTAUT2 framework. This would be breakthrough research in identifying factors that influence customers’ continuous adoption of IB.