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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.

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.

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.

Following the advancement of financial technology (FinTech) in modern society to assist investment decisions, robo-advisers had become widely used in mean-variance analyses to allow investors to formulate efficiently diversified investment portfolios. However, the concept of robo-advisers is new, and few studies have addressed issues related to them. To help readers to better understand robo-advisor adoption by a wide range of potential customers, this study explores integrated models of the attitudes (ATT) and behavioural intentions (BI) of users towards robo-advisors.

A survey was used to gather data to determine how the unified theory of acceptance and use of technology (UTAUT) applies to robo-advisors. A total of 242 valid questionnaires were collected.

The results of our study show that performance expectations (PE), effort expectancy (EE), and social influences (SI) may have indirect influences on robo-advisor behavioural intention (BI) through attitudes. Furthermore, behavioural intention was also positively influenced by facilitating conditions (FC). Moreover, the investment to income ratio (IIR) moderated the relationship between the PE, EE, and SI influence on ATT. Additionally, experience is found to positively strengthen the relationship between EE and SI on ATT, and it moderated the relationship between FC and BI.

This research is expected to expand the use of UTAUT to tools in the field of financial investments and help financial sectors formulate suitable marketing strategies.

Understanding the main determinants of internet banking is important for banks and users. Although several prior research projects have focused on the factors that impact on adoption of technology, there is a limited empirical work which simultaneously captures technology-specific factors (PE, EE, WD, GAM) and customer-specific factors (GSC, INTRC) that help customers to adopt internet banking. Thus, the purpose of this paper is to verify how these factors influence individual behavior and motivate them to adopt new technology. The authors advance the body of knowledge on this subject by proposing moderating relationship of gamification between user’s intention to adopt and intention to recommend internet banking in social network.

To test the model the authors developed a quantitative study involving 398 internet users from five commercial banks. Data were collected in four weeks beginning of September 2017 from three large cities of Pakistan using convenience sampling approach. The theoretical model was tested using structural equation modeling (SEM).

The results indicate that intention to adopt internet banking is positively affected by performance expectancy, effort expectancy, website design, website characteristics and general self-confidence. Findings of SEM showed that approximately 72 percent of the variance in customer’s intention to adopt internet banking was accounted by predictors. Moderating effect of gamification suggested that the positive relationship between customer’s intention to adopt and customer’s intention to recommend internet banking will be stronger when gamification is higher. Importance performance matrix analysis (IPMA) suggested that among all other variables general self-confidence is the most important construct as it has the highest importance value in IPMA.

This study provides insightful guideline to practitioners, web designers and marketing professional that they should focus on both technology perspective and customer-specific factors to boost the confidence of internet banking users, while for researchers this study provides a basis for further development of technology adoption models in e-commerce domain.

This study contributes to the body of knowledge by adding game elements in technology perspective model and augments the e-commerce literature in the internet banking adoption context. To the date, this study is the first in its nature that investigates both technology-specific factors and customer-specific factors altogether to see the users influence toward technology adoption.

The purpose of this paper is to investigate the factors influencing the behavioral intention to adopt payments banks services by Indian underbanked and unbanked population.

The proposed model has assimilated factors from the Unified Theory of Acceptance and Use of Technology (UTAUT) along with perceived credibility. The factors of UTAUT include performance expectancy, effort expectancy, facilitation of conditions and social influence. Apart from testing the direct relationships of the model constructs with the behavioral intention to adopt payments banks services, the study has also explored mediating and moderating effects of certain constructs. The research model has been empirically tested using 660 responses from a field survey conducted in New Delhi – the capital city of India – by using the structured equation modeling (SEM) technique. The target respondents of the study are small businessmen and migrant laborers who are either underbanked or unbanked.

The findings of the study reveal that the model is able to explain 67.5 per cent of the variance in behavioral intention. The results indicate that all the factors are direct determinants of behavioral intention. Perceived credibility is found to be the strongest influencer of behavioral intention. The findings also indicate that perceived credibility partially mediates the relationships between “social influence and behavioral intention” and “performance expectancy and behavioral intention.” The relationship between performance expectancy and behavioral intention is also found to be moderated by facilitating conditions and effort expectancy.

As this study is based on a convenience sample of respondents of only one city of India, this could negatively reflect on the generalizability of results across other cities. Moreover, the study has only focused on the perceptions of small businessmen and migrant laborers. This raises concerns regarding the applicability of the results for other segments of the current population that have different demographic characteristics (e.g. occupation, income, education level and technology experience). Modifying the conceptual model presented in this research to include “experience” and “age” as moderators can also be worth considering in future. Although this study has extended the UTAUT to include perceived credibility, the results of the explanatory power of the model indicate that there is still room for improvement. Therefore, including other constructs, e.g. hedonic motivation, perceived risks and trialability, could be a fruitful path forward. Future studies may also examine the factors influencing the actual use behavior of payments banks, rather than just behavioral intention.

The study looks forward to providing the payments banks service providers in India with suitable guidelines for effectively implementing and designing payments banks services. Specifically, the results of this study have provided clues for Indian payments banks service providers about the crucial role of perceived credibility in influencing the behavioral intention to adopt payments banks. Therefore, service providers have to initially be sure that payments banks are able to conduct financial transactions efficiently, securely and within less time, along with the availability of information required by customers to successfully use the services. Service providers should enhance customer confidence and trust by providing secure and reliable services. They should also emphasize on the positive safety measures of the payments banks during any marketing campaign rather than just creating brand awareness.

The study represents a substantial contribution to the existing knowledge regarding mobile payment channels in particular and technology acceptance area in general. In fact, this study presents a worthwhile direction by examining payments banks services, which, so far, have not been well evaluated in the Indian context. To the best of the authors’ knowledge, this is an early attempt toward a holistic and integrative approach to explain adoption of payments banks in India. Although prior studies have addressed mobile banking and mobile payment adoption, the strength of this research lies in combining the UTAUT constructs with perceived credibility. This is evidenced by the high explanatory power (67.5 per cent) of the research model adopted in this study.

The purpose of this paper is to identify and examine the important factors that could affect consumers' behavioural intention and use behaviour towards mobile payment services during COVID-19.

The proposed model extends meta-Unified Theory of Acceptance and Use of Technology (meta-UTAUT) model with perceived severity and self-efficacy factors affecting consumers' behavioural intention and use behaviour towards mobile payment services. A convenient sampling technique has been utilized to gather data from a self-administered questionnaire. The data collection was restricted to the online mode to avoid any physical contact considering the COVID-19 situation.

The findings revealed that performance expectancy, effort expectancy and perceived severity have a significant positive impact on consumers' attitude; facilitating conditions has a significant positive impact on effort expectancy; self-efficacy has a significant positive impact on effort expectancy; attitude has a significant positive impact on behavioural intention; and behavioural intention has a significant positive impact on use behaviour. Social influence did not confirm any significant relationship.

The current research study has utilized a non-probability convenient sampling technique to gather data through a self-administered questionnaire. The data collection was restricted to the online mode to avoid any physical contact considering the COVID-19 situation. The respondents were adopters of mobile payment services. The scope of the study is the COVID-19 context or related chronic diseases context where major preventive mechanisms such as social distancing and avoidance of physical contacts are vital.

This study has extended the meta-UTAUT model with the COVID-19 context-specific constructs and relationships. The undertaken work has strengthened the explanability of the model. The inclusion of context relevant variables such as perceived severity and self-efficacy and their association with the existing meta-UTAUT framework have enriched the context of the study. The current study offers a holistic understanding of significant factors influencing Indian consumers’ adoption of mobile payment services in the COVID-19 context.

The purpose of this paper is to explore the factors that influence users’ behavioral intention (BI) to adopt mobile social networking sites (mSNS) in facilitating formal/informal learning. Specifically, the study also investigates the association of mobility, reachability and convenience with performance expectancy (PE) and effort expectancy (EE).

Partial least squares structural equation modeling (PLS-SEM) approach was applied to test on 266 valid responses.

The findings indicated that learning compatibility (LC), PE, EE and copyright clearance (CC) has a significant effect on BI. The results also revealed that EE is influenced by mobility, reachability and convenience. PE however was found to be influenced by convenience.

The results of this study provides valuable insights and references for practitioners and mobile network providers in developing mSNS in facilitating learning.

While mSNS have the potential to become a new research area with numerous benefits for the learning community, there is little research on the adoption factors on mSNS in facilitating learning. This study therefore attempts to close the research gap by contributing to the mobile literatures.