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The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.

The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.

In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.

The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.

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.

This study aims to evaluate the users’ behavioral intention toward the acceptance and adoption of digital payment FinTech services in India. The study also compares the differences in Gen Y and Gen Z’s intention to adopt digital payment FinTech services.

The present study adopted both the unified theory of acceptance and use of technology (UTAUT) and the technology acceptance model (TAM) as its theoretical base and also added financial literacy and customer satisfaction. The data was analyzed by applying structural equation modeling using SmartPLS 4.

The outcomes of the study imply that customer satisfaction, effort expectancy and performance expectancy had a significant effect on behavioral intention. Moreover, effort expectancy, performance expectancy and perceived enjoyment had a significant influence on customer satisfaction, and effort expectancy and performance expectancy is significantly influenced by perceived enjoyment, while self-efficacy significantly influenced perceived enjoyment. Also, financial literacy does not moderate the relationship between effort expectancy, performance expectancy, facilitating condition and behavioral intention. Furthermore, the association of effort expectancy → customer satisfaction; perceived enjoyment → customer satisfaction; and perceived enjoyment → effort expectancy is moderated by age factor.

This study contributes by developing a more cohesive and unified model for assessing users’ behavioral intention toward acceptance and adoption of FinTech services by adopting constructs from the UTUAT and TAM and incorporating financial literacy and customer satisfaction to expand and enhance the theoretical prospect of the existing literature.

The purpose of this study is to use an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model to investigate the intention to use blockchain from the accountant's point of view. The proposed model is expected to provide the necessary incentives for accountants to adopt blockchain. The authors build external constructs based on discussions of blockchain properties for accounting such as accounting information quality, job relevance and trust. In addition, the study also considers computer self-efficacy and compatibility as factors related to practitioners’ blockchain acceptance.

By using the developed online-questionnaire, the data is collected from the responses of 317 accountants working in listed enterprises in Vietnam. The main analyzes are performed by Smart partial least squares structural equation modeling technique to present both direct and indirect effects on the intention to use blockchain.

Experimental results provide many interesting and valuable things. First, performance and effort expectancy have a positive influence on intention to use blockchain, while social influence has a lower influence. Second, trust has a direct and positive effect on effort and performance expectancy, as well as intention to use blockchain. Quite surprisingly, accounting information quality has a positive effect on performance expectancy, while job relevance has a negative effect. Fourth, computer self-efficacy and compatibility have a positive effect on effort expectancy. It is more interesting that the intention to use blockchain has nothing to do with compatibility. The results of this study also show that performance and effort expectancy play a mediating role in the indirect effects of trust, computer self-efficacy and compatibility on intention to use blockchain.

The study shows that accountants in Vietnam have a high intention to use blockchain. This implies that the Vietnamese Government and the professional association should design training programs or open training sessions on blockchain. Accountants can clearly understand the importance of blockchain in their work as well as the positive effect of blockchain on performance. They are consulted on how to use blockchain. They also perceive that using blockchain is not too difficult, and the acceptance of this technology will be higher. Additionally, universities should put triple-entry accounting into their teaching, so accounting students can improve their skills and knowledge relevant to blockchain to meet their career needs in the future.

The study proposes an extended UTAUT model with external constructs built on blockchain's effects on accounting. The model makes more sense in promoting the use of blockchain in accounting.

Technology acceptance, especially internet banking adoption, has become a vital issue in the business world today. The potential of this technology is enormous. The purpose of this study is to ascertain determinants of internet banking adoption using unified theory of acceptance and use of technology (UTAUT) and electronic service (e-service) quality, which accounts for changes in user’s intention to adopt internet banking.

The authors collected data from customers of commercial banks using structured questionnaires. The data were collected in four weeks in the beginning of September 2017. A two-stage approach of confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used for data analysis.

The results reveal that integrated UTAUT model had significant influence on user intention to adopt internet banking. Findings of the SEM indicated that approximately 80 per cent of the variance in user intention to adopt internet banking was accounted by predictors. The study schematized that assurance is the most influential factor among all other technology and service quality factors. Additionally, performance expectancy and effort expectancy were found to be positive and significant mediator variables among website design, customer service and customer’s intention to adopt internet banking.

It is recommended that both website designers and managers should focus on technology and service quality factors to boost the confidence of internet banking users. Importance performance matrix analysis suggested that managers should provide assurance to internet banking users, so that they could maintain a long-term relationship with internet banking services. The study calls researchers to test the integrated UTAUT model in other electronic commerce (e-commerce) domains such as online booking or online shopping websites.

To the best of author’s knowledge, this study is the first that extend the UTAUT model with four e-service quality dimensions, namely, website design, customer service, assurance and reliability to investigate user’s intention to adopt internet banking in developing country context of Pakistan. More importantly, the mediating role of performance expectancy and effort expectancy is examined first time within integrated UTAUT model. Furthermore, the integration of UTAUT model contributes to the advancement of internet banking acceptance and offers useful insights to researchers and policy-makers on how to enhance internet banking acceptance among customers of commercial banks.

The purpose of this paper is to investigate the determinants of behavioural intention and use behaviour towards social networking apps. Exogenous latent constructs, namely, performance expectancy, effort expectancy and social influence are the key antecedents proposed based on the unified theory of acceptance and use of technology to predict the usage intention and behaviour of social networking apps (i.e. endogenous latent constructs). Experience as a moderator is the extended construct to explain social networking apps user’s behavioural intention.

To target young generation (Millennial), a cross-sectional data collection approach was conducted to collect data from the social networking apps users (i.e. Facebook, WhatsApp, WeChat, Twitter, Instagram, YouTube, Snapchat and others) whereby a total of 384 valid questionnaires were obtained from six universities in Malaysia. Statistical analysis using partial least squares path modelling approach and a variance-based structural equation modelling (VB-SEM) techniques is performed to analyse the measurement and structural relationship.

The findings indicate that performance expectancy, effort expectancy and social influence determine behavioural intention, and behavioural intention impacts social networking apps use behaviour. Moreover, the moderation analysis reveals that the relationship between effort expectancy and behavioural intention is moderated by experience, whereas the relationship between social influence and behavioural intention is not moderated by experience.

While the surge of social networking apps has gained tremendous popularity among Millennial as an attractive market segment, previous studies mainly have focussed on intention and behaviour of online users in general. Despite apps and related technologies which have opened a new era of effective communications in marketing, social networking apps usage intention and behaviour focussing on Millennial is not well understood in the current literature. This study contributes and sheds lights on the current issue of social networking apps usage intention and behaviour and looks into a key rising market segment, the Millennial users.

A daily diary study was used to examine the relationships between goal distance, goal velocity, affect, expectancies, and effort from the perspective of Carver and Scheier's (1998) control theory of self-regulation. Fifteen social workers completed a diary at the end of each working day for four weeks. Multi-level analysis found little support for the precice predictions of Carver and Scheier's theory, but did support the idea that discrepancy reduction plays a role in regulating behavior. Expectancies had a strong association with effort, and affect moderated this relationship. The interaction indicated that high expectancies suppress the signalling effects of affect, preventing the individual from being consumed by immediate reactions to situational events and enabling effort to be sustained.

Technology adoption is a great challenge in the banking sector of Pakistan. A recent report issued by state bank of Pakistan revealed that there is a squeak growth, only 3 percent, in internet banking adoption. In order to effectively delve into the issue of internet banking adoption, the purpose of this paper is to use unified theory of acceptance and use of technology factors, namely performance expectancy and effort expectancy and e-service quality (E-SQ), as theoretical lens for this study.

The research model was empirically tested using 398 valid responses from customers of commercial banks in Pakistan. The theoretical model was tested using structural equation modeling.

Findings indicate that performance expectancy, effort expectancy, website design, customer service, assurance and reliability have direct influence on user intention to adopt internet banking. Results revealed that approximately 79 percent of variance in user intention to adopt internet banking was explained by predictors. In addition, the mediating role of performance expectancy and effort expectancy among website design, customer service and user intention was also confirmed.

For researchers, this study provides a base of integrated technology model and it suggests using this model in other online domains such as mobile payment and online web-shopping for further refinement. For policymakers, understanding the key constructs is important to design, refine and implement new internet banking website that, in turn, will boost internet banking adoption trend among users of commercial banks.

This paper makes a unique contribution toward information system and services marketing literature. The study schematized that website design, customer service, assurance and reliability are the key dimensions of E-SQ and significantly influence the user intention to adopt internet banking.

This study aims to identify key factors driving consumers' adoption of Open Banking. It extends the Unified Theory of Acceptance and Use of Technology (UTAUT) by integrating perceived risk, initial trust and financial literacy into an overarching conceptual model.

Measurement items of the theoretical constructs included in the conceptual model were adapted from related literature and a set of hypotheses was developed. The hypotheses of the conceptual model were subsequently assessed with partial least squares structural equation modeling using a dataset of 456 Australian survey respondents.

The model has strong explanatory power with an R² of 69.5%. Performance expectancy, effort expectancy, social influence and perceived risk are direct antecedents of consumers' usage intention of Open Banking. Social influence has a strong mediating effect on usage intention through performance expectancy. The effect of perceived risk is alleviated by effort expectancy and initial trust, while initial trust positively affects the effects of performance expectancy and effort expectancy on consumers' usage intention of Open Banking. Finally, financial literacy lowers initial trust towards Open Banking, possibly inducing consumer skepticism.

The results suggest that practitioners should focus on performance expectancy as a primary driver of Open Banking adoption, while understanding the role of other drivers, such as social influence and perceived risk in developing marketing strategies. Policy makers are recommended to adopt a governance approach to build initial trust amongst consumers.

This research contributes by providing an integrated and comprehensive model for explaining consumers' FinTech adoptions by extending the existing technology adoption model UTAUT to the Open Banking domain and integrating perceived risk, initial trust and financial literacy, thereby advancing and enriching the conceptual horizon of the extant literature.

In recent years, numerous banks have introduced live chat systems to their mobile banking (m-banking) applications to help customers address problems that arise while using m-banking. However, few researchers have investigated bank customers' perceptions of live chat in the context of m-banking, known as mobile chat. The present study attempts to fill this research gap and identify potential factors affecting bank customers' intention and attitude toward using mobile chat from the perspective of functional and expected advantages.

A research model was developed integrating three technological characteristics of mobile chat (mobility, reachability and convenience) identified from the mobile service and self-service technology literature with user beliefs involving performance expectancy, effort expectancy and facilitating conditions specified by the unified theory of acceptance and use of technology. The proposed model was evaluated using data collected from a field survey of 268 customers with experience in Internet or m-banking at an international bank in Taiwan. The mediating effects of attitude on the relationship between intention and its predictors were also measured.

The results suggest that reachability and convenience influence performance expectancy whereas effort expectancy is affected by all the technological characteristics. Additionally, customers' intention is determined by attitude, effort expectancy and facilitating conditions whereas their attitude depends on the three constructs of user beliefs.

The development of user behavioral research in intelligent customer engagement is lacking in the m-banking literature. This study sheds light on Internet banking and m-banking customers' viewpoints and the salient determinants of their intention and attitude toward using mobile chat. Therefore, the findings allow a broader understanding of customer engagement applications in the banking sector.

The research findings would help banks not only better understand how to deploy useful mobile applications for improving the effectiveness of their mobile service development but also develop adequate mobile strategies to engage with customers more intelligently.

This research provides valuable insight into the relationship between the adoption of intelligent customer engagement tools and the improvement of customer support performance in the context of m-banking. Moreover, this study is among the first to identify the potential mobile technological factors that might affect bank customer expectations from mobile chat applications.