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This paper aims to explore the factors influencing the behavioural intention of Gen Y consumers to avail omnichannel service and to identify the relative influence of predictors in explaining the behavioural intention of Gen Y consumers to use omnichannel service.

Data collected through surveys from 287 Gen Y consumers has been analysed through structural equation modelling to examine direct and mediated relationships between the constructs influencing behavioural intention to use omnichannel service.

Findings indicate that perceived ease of use, social influence, perceived trust, and personal innovativeness positively affect behavioural intention to use omnichannel service, with the result accounting for 48% of the variance. We also demonstrate that perceived value and perceived ease of use mediate the association between personal innovativeness and behavioural intention to use omnichannel service.

The study provides valuable insights into adopting technology-based offerings for Gen Y customers. The presented model can be extended for analysing consumers' behavioural intentions by considering additional variables, such as consumer personality traits and diverse cultural settings. The study may help managers and policymakers formulate a consumer-focussed strategy to win over modern retail consumers.

This study explores the behavioural intention of Gen Y consumers in availing omnichannel services. Further, the study contributes to the technology acceptance model (TAM), unified theory of acceptance and use of technology (UTAUT) or UTAUT2 theories that may need to be extended in the omnichannel shopping context.

This study aims to analyze the effects of performance expectancy, effort expectancy, social influence and facilitating conditions on the behavioral intention of using mobile health applications, especially during and after the COVID-19 pandemic.

A survey was developed using an online survey platform and distributed to Indonesian consumers for three weeks, and 149 usable responses were obtained. The principal component analysis, linear regression and analysis of variance tests were performed to test the validity and reliability of the measurement model and the hypothesized relationships among constructs.

Surprisingly, unlike previous studies on IT adoption, the findings show that social influence has no significant impact on behavioral intention. Facilitating conditions have a very weak to almost no significant impact on behavioral intention to use mobile health applications.

This research is conducted during pandemic COVID-19 where using mobile health apps is a must. In the future this research can be expanded as comparison study after the pandemic COVID-19 stated.

The result implies that digital technologies adoption intention is strongly affected by performance expectancy and effort expectancy, with performance expectancy as the most significant predictor. Nonetheless, the interaction of performance expectancy, effort expectancy, social influence and facilitating conditions influences behavioral intention significantly. Therefore, social influence and facilitating conditions are still important even with very insignificant effects.

To improve consumers’ behavioral intention to use mobile health applications, application providers should promote mobile health applications as useful telemedicine tools by primarily focusing on the application performance and usage experience.

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.

The research examines how behavioral intentions, as a higher-order construct, indirectly affect financial inclusion through service trust, usage behavior and financial literacy in mobile money adoption.

Following the positivist research philosophy, a cross-sectional study design was used to collect data through questionnaires comprised of scales adapted from prior studies. With a usable sample size of 340 respondents, this study employs partial least squares structural equation modeling to assess the model.

The study revealed the significant indirect role of behavioral intention on financial inclusion through use behavior, behavioral intentions on use behavior through service trust, and use behavior on financial inclusion through financial literacy. The role of behavioral intentions on financial inclusion through serial mediation of service trust, use behavior and financial literacy was also found to be significant.

This study's novelty resides in examining the indirect relationship between behavioral intentions and financial inclusion, specifically via the serial mediation of service trust, use behavior and financial literacy.

This study examines the main factors influencing banking customers' behavior toward smart banking services (SBS) adoption in Pakistan. This study extends the unified theory of acceptance and use of technology (UTAUT2) by integrating information privacy concern and big brother effect into an overarching conceptualization.

This study adopts theoretical constructs from the related literature and develops hypotheses. An analysis of 385 banking customers was performed using partial least squares structural equation modeling (PLS-SEM).

The results show that most predictors of behavioral intention, including facilitating conditions, effort expectancy, habit, performance expectancy, hedonic motivation (except for social influence and price value), big brother effect and perceived information privacy concern are significant. Indeed, all predictors of use behavior are also significant. Gender and age differences between individuals further moderate the relationship between UTAUT2 constructs. Moreover, information privacy concern mediates the relationship between big brother effect and behavioral intention.

This cross-sectional study focused only on Pakistan as a developing country, which limits the generalizability of the results.

The roles of social influence and price value must be strengthened by employing marketing strategies and personalized communication. Banks should offer incentives and rewards to customers who recommend SBS to friends and family members. In addition, banks must consider the price factor when offering these services to increase their market share.

This study contributes to the field of technology adoption by providing a unique perspective of SBS adoption in Pakistan. This empirical study is the first to extend the UTAUT2 model by integrating information privacy concern and big brother effect to assess SBS acceptance and use behavior. This study examines SBS adoption issues at the national level, especially in Pakistan.

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 investigated the extent to which the predictive power of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) was robust against cultural variations and to what extent its predictive power could be improved by including face-valid individual differences (i.e. perceived risk and personal innovativeness) and cultural factors (i.e. individualism and uncertainty avoidance).

Data were collected from web surveys of Chinese, American and Belgian mobile Internet users (total n = 1,068).

The authors found that the UTAUT2 model was less predictive in the country where the adoption of mobile payment service (MPS) is high (i.e. China). In contrast, the UTAUT2 model was more predictive in countries where the adoption of MPS is lower (i.e. the United States and Belgium). The authors did not find additional variance explained by individual differences. Regarding the cultural variables, the authors found that individualism moderated the effect of social influence on behavioral intention to use MPS, such that the effect was more substantial among people with individualistic cultural traits. However, the authors found no moderation effect of uncertainty avoidance.

This research contributes to existing work on technology acceptance by exploring whether it is helpful to introduce individual and cultural factors into the UTAUT2 model when predicting technology adoption in different cultures. This research further examines the moderating role of cultural factors in predicting the adoption of MPS. The authors conclude that the UTAUT2 model is generally robust and appears to capture the predictive of face-valid individual and cultural factors.

The purpose of this paper is to examine the relationships among five dimensions of service quality towards the overall behavioural intentions to use internet banking in Thailand and explain the indirect effects between service quality and behavioural intentions to use internet banking using perceived risk and trust as the mediating variables.

A multi-stage sampling procedure was performed to select the 505 respondents for this study. The participants were selected based on their experiences using internet banking in Thailand. The data obtained from the participants was analysed using a structural equation modelling approach.

The results show that service quality, perceived risk and trust influence behavioural intentions to use internet banking. This study primarily aims to find out whether perceived risk and trust worked as a mediator variable between service quality and behavioural intentions to use internet banking. The study will be useful for the developers of internet banking, when they are implementing and developing a system that is in accordance with the needs and lifestyles of the potential users; and CEOs, to create strategies and relevant policies to achieve competitive advantage.

Literature has focused on understanding service quality dimensions that influence the behavioural intentions to use internet banking. By expanding on the previous research in internet banking, this paper empirically examines the overall direct and indirect influences between service quality, perceived risk, trust and behavioural intentions.

The study applied the Unified Theory of Technology Acceptance and Use Theory 2 (UTAUT2) to predict blended learning acceptance by students in universities in Zimbabwe. Blended learning is a heterogeneous mode of teaching and learning that combines face-to-face (F2F) and online modes. Owing to advances in technology, and recently, the advent of pandemics, such as COVID-19, the need for multimodal teaching approaches, such as blended learning, to enhance access to education in universities has become very important.

A quantitative approach that used a structured questionnaire for data collection from a sample of 432 postgraduate students was used. Data validation was done using confirmatory factor analysis (CFA). The structural equation modelling technique was used for data analysis.

Results showed that out of the seven factors of the UTAUT2, the factors such as performance expectancy, effort expectancy, social influences, facilitating conditions and hedonic motivation significantly and positively influenced the behavioural intentions of students in universities to accept blended learning. On the other hand, habit and price value did not significantly influence university students' behavioural intentions to accept the bended learning mode. It was further shown in the study that behavioural intentions significantly influenced the acceptance of blended learning by university students. In light of the above results, it was concluded that the UTAUT2 could be used to predict the acceptance of blended learning by university students.

The main study limitation was that it was only carried out at universities that had information and communication technology (ICT) infrastructure challenges owing to the fact that the economic situation in Zimbabwe is depressed. Limited ICT infrastructure in the universities might have had some impact on the nature of behavioural intentions of students to accept blended learning as a learning mode. Further research could be carried out in countries with better economies that are able to fund ICT infrastructures of their universities and to establish whether the results of the current study could either be confirmed, disconfirmed or enriched.

The paper suggests that universities need to increase investment in ICT infrastructure as well as in capacitating students with the necessary ICT skills for the effective use of institutional ICT when learning using the blended learning mode. Without adequate and appropriate ICT infrastructure as well as necessary ICT skills, students may develop low motivation levels and negative attitudes towards blended learning, which may eventually may affect their acceptance of the learning mode.

There is no known study that has been conducted using the UTAUT2 to establish antecedents of behavioural intentions of students to accept blended learning in the context of Zimbabwean universities. This study therefore opens new ground on factors influencing the acceptance of blended learning in the context of Zimbabwean universities. Also, the results showed that habit and price value do not significantly contribute to the behavioural intentions of university students to accept blended learning, which is not consistent with findings of past studies. This inconsistency opens new opportunities for further studies on the conditions under which these two factors can be used to significantly contribute to the development of behavioural intentions of students to accept blended learning.

This paper aims to examine the causal models that predict disabled tourists’ behavioral intentions to use peer-to-peer (p2p) accommodations. This study also explores the causal models through complex combinations of demographic factors, host attributes and the levels of perceived charm, convenience and other service features of the accommodations as a means of describing disabled tourists’ behavioral outcomes.

A questionnaire was administrated to measure the study variables. Using the convenience sampling technique, the questionnaires were distributed among disabled individuals with orthopedic disorders who reside in North Cyprus in May 2016. The five respondents were later interviewed about their needs and expectations from p2p accommodations. A set of preliminary tests (for both reliability and validity) was conducted, and descriptive statistics were used based on the scale items. Fuzzy set qualitative comparative analysis (fsQCA) was used to test the proposed research model, which revealed sufficient and consistent conditions leading to behavioral intentions of disabled tourists in their use of p2p accommodations. The predictive validity of the model was then tested. Finally, the results of the fsQCA were evaluated based on the key tenets of complexity theory.

The findings reveal under which conditions disabled tourists tend to use p2p accommodations. This empirical study has relied upon the use of causal models integrating combinations of demographic variables and host and accommodation place attributes (i.e. charm, convenience and service features) which were put forth as sufficient predictive configurations of the behavioral outcomes of disabled tourists within the context of a sharing economy. Ultimately, this study finds that p2p customers are not limited to travelers with low income levels.

The views of people with orthopedic problems in North Cyprus were obtained for testing the configurational model, which means that the results do not necessarily represent a large range of customers’ perspectives. Although this limitation was addressed through the application of a powerful compensatory analytical approach (fsQCA), it is advised that data from tourists with various types of disabilities in other countries be collected for future studies.

The results of this study provide practical implications for hosts on how to combine accommodation place characteristics (e.g. charm, convenience and service) with their own personal attributes (e.g. knowledge and eagerness) to bolster the disabled tourists’ intentions to use p2p accommodations. It is hoped that the results of the fsQCA using the demographic variables presented here will guide businesses toward performing target marketing. This is useful for hosts who wish to attract more disabled tourists, a profitable segment of the market.

This study draws social attention to the disabled tourists as potential customers in the sharing economy. Conducting an empirical study that considers the social inclusion of tourists with disabilities in the emerging version of hospitality business is helpful to both the supply and demand sides.

To the best knowledge of the authors, this is the first empirical study that investigates the indicators of disabled tourists’ intentions to use p2p accommodations. This study also adds to the current literature by modeling the behavioral intentions of disabled tourists within a sharing economy using a pragmatic and set-theoretic approach (i.e. fsQCA in conjunction with complexity theory).