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Given the growing importance of e‐coupons as promotional devices, predicting consumers' e‐coupons redemption intention is essential to the evaluation of this promotion strategy. This paper aims to address this issue. An extended theory of planned behavior (TPB) research model which further includes consumers' e‐coupon proneness as a mediator is built in this study to predict consumers' usage intentions of e‐coupons.

This research collected research data on a questionnaire collection web site, because most e‐coupon users are also internet surfers. There were 626 valid surveys returned as the data input for structural equation model (SEM) analysis.

The results from this empirical study reveal that failure to include e‐coupon proneness as a mediator in the extended TPB model can lead to an inability to explain consumers' usage intentions of e‐coupons well. Moreover, given such a totally new environment, the direct influences of consumers' perceived behavioral control of using e‐coupons and consumers' past behavior of using e‐coupons are strong predictors and cannot be ignored.

The main limitation of this study is that the measures of the independent and dependent variables in the present study are based on self‐reported methods. It is likely that the relationships among some of the variables may be somewhat inflated, and a common method variance must be considered.

The empirical results and findings from this study are helpful to online marketers if they can identify those consumers who have e‐coupon proneness and tailor the promotion campaigns to these consumers, raising the e‐coupon redemption intentions.

To the best of the authors' knowledge, this study is among the first to provide analytical insight into e‐coupon usage intention with e‐coupon proneness as a mediator by building an extended TPB model in computer‐mediated environments.

The number of smartphone users has increased with the maturity of mobile networks, which has not only led to a new lifestyle but has also facilitated the development of mobile application services. Smartphones are regarded as essential communication devices. Currently, diverse groups of people are considering using mobile payment services. Thus, the motives for using mobile payment as well as individual motives for continuing usage are of great research interest. The purpose of this paper is to examine the behavioral motivations underlying individual intentions to continue using mobile payment.

To explore the factors affecting the intention to use mobile payment services, this study constructed a theoretical framework based on cost-benefit theory that also considers social influences to form an integrated research model that explains the intentions of individuals to use mobile payment services. Online questionnaires were used to evaluate individuals with experience using mobile payment services. A total of 302 questionnaires were collected. Structural equation modeling was employed to assess the relationships among factors included in the research model.

Perceived value, social norms and social self-image played crucial roles in the intention to use mobile payment services. Furthermore, perceived benefits (relative advantage and service compatibility) and perceived costs (security risks and perceived fees) determined users’ perceived value. Social self-image positively affected users’ perceived value; in the context of a mobile-oriented information system, the ability of a mobile payment service to satisfy a user’s demands with respect to social self-image influenced the user’s perceived value of using such services.

This study contributes to a theoretical understanding of factors that explain users’ intention to use mobile payment services.

Virtual reality (VR) offers unprecedented immersion and interactivity in education, and working and learning from home have become the norm during the COVID-19 pandemic. This study empirically investigated the factors affecting the use of a VR online learning system (VROLS).

To explore factors affecting users’ continuance behavioral intentions toward using VROLSs, a research framework was formed comprising factors that constitute benefits (i.e. pull factors) and costs (i.e. push factors); these factors included perceived value, flow and social influence. The data for this study were collected via online survey questionnaires. A total of 307 valid responses were used to examine the hypotheses in the research model, employing structural equation modeling (SEM) techniques.

Perceived value, flow experience and the number of peers using VR primarily affect the decision to adopt a VROLS. The pull factors of spatial presence, entertainment and service compatibility, along with the push factors of complexity and visual fatigue, affect perceived value. Therefore, we conclude that perceived value is a primary factor positively influencing both flow experience and the decision to adopt the service.

This study contributes to a theoretical understanding of factors that explain users’ intention to use VROLSs.

Smartphones have become a critical medium by which people remain in contact with family, friends, and colleagues. A variety of factors have contributed to the rapid prevalence of smartphones. The most influential factor is definitely the mobile platform or mobile operating system (OS). The purpose of this paper is to employ a theoretical framework based on an information systems success model and a theory values to examine the factors that affect smartphone users’ switching mobile OSs. Habit is regarded as a moderating variable to construct an integrated research model which helps researchers unveil the puzzle of users’ switching mobile OSs.

The proposed model was empirically evaluated using survey data collected from 424 users on their perceptions of smartphones. A structural equation modeling was used to assess the relationships of the research model.

The results of the study have shown that users consider the perceived switching value and satisfaction arising from their behaviors when deciding whether to switch to another mobile OS. Quality characteristics, including information quality, system quality, and service quality, are the key factors determining people’s perceived switching value and satisfaction. The participants of the study were grouped by degree of habit. The effect on satisfaction was not significant in the high-habit subgroup. Nevertheless, it has been found that the influence of the perceived switching value was stronger in the low-habit subgroup than in the high-habit subgroup.

This study contributes to a theoretical understanding of factors that explain users’ intention to switch mobile OSs.

This study aims to examine members’ perceptions of interactivity in brand communities on social networking sites in the Super Basketball League (SBL) context in Taiwan.

The proposed model was empirically evaluated using survey data collected from 332 followers of the SBL teams’ Facebook pages on their perceptions of brand communities. Structural equation modeling was used to examine the relationships in the research model.

The results suggest significant relationships between perceived interactivity and community benefits, including special treatment, social influence, sense of membership and the notion that community satisfaction has a strong and positive effect on brand loyalty. Both social influence and a sense of membership positively affect community satisfaction. However, special treatment negatively affects community satisfaction. Perceived interactivity positively affects a sense of membership and social influence, which, in turn, positively affect community satisfaction.

This study examines the effects of members’ perceived interactivity and community benefits. The results significantly advance the understanding of the antecedents of members’ loyalty to specific brands. The study offers insights into practical ways of improving community satisfaction and brand loyalty by running brand communities on social networking sites. The findings also augment the theory of brand management.

In recent years, the ongoing development and rapid popularization of mobile devices, not only has brought new forms of lifestyle but also has boomed a wide array of service contents, allowing users to engage in entertainment, study and other daily activities, in addition to business transactions. To explore the factors that affect users' continued use of mobile app software, this paper aims to take into account the utilitarian value and privacy, as well as security factors and intends to propose an integrated research model based on the information systems success (ISS) model.

The data for this study were collected via an online survey questionnaire. A total of 190 valid responses were used to examine the hypotheses in the research model. The casual model was assessed using partial least squares techniques.

The results indicated that the three quality factors (information quality, system quality and service quality) in the ISS model significantly affected satisfaction and utilitarian value. Private and security have significant negative association with utilitarian value. The results also showed that private and security did not significantly affect satisfaction. The findings also provide some directions for further research.

The results show that user's continued use of mobile app software depends upon the perceived utilitarian value and satisfaction. The quality characteristics are the three critical factors that would affect the perceived utilitarian value and satisfaction. Compared to information quality and service quality, system quality has a higher degree of positive impact, which indicates that users are more concerned about the immediate download ability and ease-of-use provided by the system. Furthermore, the research also finds that privacy and security concerns have a negative influence on the utilitarian value, showing that in the context of task-oriented IS, the perceived risk of privacy and security during the process of using mobile app software services, will negatively affect users’ perception of utilitarian value. The insights provided by this study can help mobile app developers optimize design and marketing strategies.

This study provides a better understanding of how the factors in the theories influence the continuance usage intention of life style mobile applications.

The purpose of this study is to review the levels of open government data (OGD) among various countries that are not consistent with the development levels of those countries. This study evaluates the associativity between OGD Index (OGD) and the characteristics of those countries as well as to compare the degree of OGD among countries. Accordingly, an advanced discussion to explore how a country’s characteristics affect how that country’s government opens data was presented.

The stakeholder relationships of OGD is analysed with the characteristics of a country. The usage data are compared with the data availability according to nine indicators. These data collected from the statistics and OGDI websites are grouped for comparative statistical analyses based on basic descriptive statistics, one-way analysis of variance and a regression model with variance inflation faction.

The results 1) revealed the reasons some countries have high-ranking indexes and 2) verified the high index values of countries in terms of their degrees of development. This study, thus, attempted to derive a balanced appraisal of national development and OGD.

The study sample is limited only to countries 1) which open the statistical data; and 2) are of uneven population density and development degree. The OGDI is limited to expert evaluation. The score might be vary to experts and users with diverse countries at different evaluation period. The limitations can be attributed to the differences between OGDI and real open levels. These differences might influence the reliability and validity.

Government departments with OGD policies provide raw data in various formats and with application interfaces for user access. This study, thus, attempts to derive a balanced appraisal of national development and OGD. The factors that evaluate which types of countries open the level of data are explored.

This study establishes stakeholder relationships of OGD and extends to analyse the characteristics of a country and OGD that affect the government data open level. The relationships are evaluated through the OGDI with design score scheme. The measurement results indicated that a country possesses high relation to open data with high DI and nature resource.

The purpose of this paper is to examine the factors that affect customers’ switching intentions among banks in the context of mergers and acquisitions, using particularly the case of the merger between Lloyds TSB and Halifax Bank of Scotland, which took place in 2009.

On the basis of the theory of planned behavior, a quantitative survey was developed and administered to 515 account holders from both banks in branches located in Spain. Structural equation modeling was then utilized to evaluate the significance of direct and indirect relationships between the various factors under study.

Empirical findings indicate a significant direct relationship between switching intentions and each of: behavioral beliefs, normative beliefs, attitudes, and subjective norms. Results also reveal an inverse significant relationship between switching intentions and both control beliefs and perceived behavioral control.

The absence of a longitudinal study measuring the actual impact of the merger on customer switching behavior is the main limitation of this study. Moreover, despite being insightful, the results of this study should be generalized with caution since the sample was based on a list purposely chosen by the banks’ management.

This paper discusses customer switching behavior in the context of a real-life case of banks’ consolidation.