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The objective of this study is to examine the drivers of retail apps satisfaction and continuance intention. An integrative theoretical framework was developed based on the IS success model, E-S-QUAL and expectancy and disconfirmation model to explain retail apps users’ satisfaction and continuance intention.

A total of 359 useable data were collected from the targeted Malaysian respondents who had experience in using retail apps services. Data were analysed using the partial least squares technique.

The results indicate that system quality and e-service quality positively influence retail apps usage satisfaction and have positive direct and indirect effects through satisfaction on continuance intention. The price level has a negative effect on retail apps usage satisfaction. Even though price level has no direct effect on continuance intention to use retail apps, it has an indirect effect on continuance intention through satisfaction.

Although the success of a marketing channel mainly depends on its continuance usage rather than first-time usage, few studies have paid attention to retail apps services. This study contributes to the advancement of knowledge on retail apps by explaining the roles of system quality, e-service quality and price level on retail apps satisfaction and continuance intention. Interestingly, the findings of multi-group analysis imply that female Gen Y app users are more satisfied than males while such differences do not impact their continuance intention to use the retail apps. The findings also suggested that frequency of using apps has no relevance to retail apps user satisfaction, but highly relevant to their continuance intention to use retail Apps services.

To better understand how to retain hospitality customers in the fierce competition among mobile applications, this study aims to propose and empirically validates an integrative framework, which elaborates how conscious and subconscious factors, together with affective factors, may induce app loyalty and how brand viscosity moderates such effects.

The authors conducted an online survey to collect data and received a total of 268 valid responses. This study splits the data into two groups (brand viscosity vs non-viscosity). Then, the authors performed a multi-group structural equation modeling with Chi-square difference tests to compare the model between the two groups.

The findings support the integrative model and reveal that the influence of app satisfaction on loyalty is stronger for app users who do not stick to one brand across the website and mobile app channels. Moreover, for those with brand viscosity, habit and switching cost are two significant determinants that exert positive effects in inducing app loyalty.

Brand viscosity across different channels matters for the effects of habit and switching costs in shaping app loyalty. E-commerce managers should elaborate on brand management among various booking channels and establish effective digital marketing strategies to facilitate the formation of usage habits and switching costs and to enhance brand viscosity across channels.

This research advances the knowledge of app loyalty in hospitality by providing a comprehensive explanatory framework from affective, conscious and subconscious lenses. This research is among the first to unveil the impact of brand viscosity on the links between loyalty and its determinants.

The purpose of this paper is to investigate the impact of post-usage usefulness (PUU), experiential value, and apps channel satisfaction on consumer continuance intention in using the smartphone apps retail channel for shopping activities. The study proposes that experiential value mediates both the relationship between PUU and apps channel satisfaction and the relationship between PUU and apps channel continuance intention.

A total of 467 valid questionnaires were received from Malaysian experienced smartphone apps shoppers (minimum of six months experience) from pure play apps retailers to empirically test the model. For the assessment of the measurement model and structural relationships, partial least square path modelling approach was performed.

The hypotheses testing imply that all direct hypotheses between latent constructs are supported. Experiential value partially mediates the relationship between PUU and apps channel satisfaction and the hypothesis on its mediation role on the relationship between PUU and apps channel continuance intention is rejected.

Despite the rapid development of information technology, a few research uncovered how businesses can create value through smartphone apps channel. Rather than focussing exclusively on online retailing, physical stores and e-commerce in general as a retail distribution strategy, this study empirically uncovered that value creation process could be achieved through smartphone apps channel.

Artificial intelligence (AI) has the potential to facilitate service provision and forms the basis for various smart services, such as augmented reality (AR) apps. The purpose of this study is to investigate the guiding help of an AR app in elaborate servicescapes, which typically constitute complex environments. The study examines how an AR guidance app impacts service evaluation.

This research conducted a field experiment during a trade fair. It employed a two-group between-subjects design (AR app vs traditional 2D map) in order to examine how guidance through complex environments affects overall service satisfaction. Hypotheses were tested through analysis of covariance (ANCOVA), moderated regression, and PROCESS.

The results reveal that an AR app compared to a traditional 2D map leads to significantly higher overall service satisfaction. This relationship is mediated by perceived complexity reduction. Moreover, perceived behavioral control acts as a moderator. Further, the usage of an AR app tends to improve customer loyalty.

Managers learn whether it is worthwhile to employ AR apps in elaborate service environments as well as how to implement them.

By conducting a field experiment and examining a concrete AI-based smart service (i.e. an AR app), this research adds to the AI literature, which has been mostly conceptual, and contributes to the underexamined field of elaborate servicescapes.

Consumers are increasingly embracing innovative technologies for enhanced experiences. This study delves into the banking consumer brand experience through the lens of augmented reality (AR). The focus is on mobile augmented reality applications within financial institutions, which contribute to a more enjoyable and immersive customer experience. Specifically, the research highlights the utilisation of mobile augmented reality applications by a Pakistani bank and examines its influence on consumer loyalty and sustained engagement, with a particular emphasis on the AR brand experience.

The authors conducted a comparative study between married and unmarried consumers with sample sizes of 178 and 172, respectively. The results were analysed through structural equation modelling using SmartPLS.

The study's outcomes show that AR brand experience for the unmarried sample category is positive and higher than a married one. This is an excellent opportunity for the banking sector in Pakistan to invest more in innovative technologies.

The current study investigates the brand experience in the banking sector from the perspective of AR technology which contributes to the AR literature.

Nowadays, customers have big chunks of information on their smartphones and can acquire information and make decisions rapidly, oftentimes with the use of specific apps. Most of the research on this topic to date has been conducted from the perspective of the provider, or the company, therefore missing the value that is created with these apps in the customer’s own domain according to the customer-dominant logic (CDL) approach.

As compared with prior research, CDL requires a different type of research that is much more inclined towards customers and specific circumstances. This paper is positioned within CDL (Heinonen and Strandvik, 2015) and aims to quantitatively explore app usage in different customer contexts.

Seven apps were tested in two different usage contexts: a social vs an individual context and a calm vs dynamic context. It was found that for the social vs individual context there was no difference; thus, managers should not pay too much attention to whether the user of the digital service is in a social context. For the calm vs dynamic social context, it was found that customers’ satisfaction, enjoyment, pleasure and their overall rating of an app were higher when the customer as in a tranquil vs dynamic context.

The proposed method provides a highly relevant way to approach app development from a CDL perspective.

These findings provide evidence that context matters and that we should study customer behavior from a more integral and detailed perspective as has been advocated by CDL.

App research should incorporate a customer focused approach. This means that not only the customers’ needs need to be considered. The circumstances and context in which apps are used are highly relevant as well.

This research uses a CDL approach to provide evidence about the consequences for app usage and satisfaction and shows the necessity of incorporating specific circumstances, customer experience and usage variables to a larger extend than has been advocated in the past.

Motivated by the need for research on the relationship between health app usage and health-related outcomes in the form of health status and life satisfaction, this study builds on self-regulation theory to construct a research model for elucidating how health app quality affects health information literacy, health app usage and physical activity.

To empirically validate the proposed research model, a large-scale questionnaire survey on health app usage was administered on a sample of 6,948 respondents recruited from a university in China. Structural equation modeling was employed for data analysis.

Empirical findings demonstrate that health app quality positively affects self-regulation with respect to health app usage, health information literacy and physical activity. Taken together, these self-regulated behaviors drive health-related outcomes for health status and life satisfaction.

This study advances extant literature on health app usage through the application of self-regulation theory to investigate the effects of technological interventions in healthcare. Findings offer practical implications for how health apps can be leveraged to realize positive health-related outcomes.

The methodology of mobile commerce as a significant application for both enterprises and customers are becoming crucial, but few studies discuss the usage attitude toward and customer satisfaction with mobile application (app) services in the life insurance industry. The purpose of this paper is to investigate the effects of attitude toward using life insurers’ mobile app services on customer satisfaction.

The study is based on a questionnaire survey of 538 respondents in Taiwan. The data are analyzed through ANOVA, multiple regression, and path analysis.

The results indicate that all variables significantly and positively affected usage attitude. Among them, compatibility had the most significant influence. In addition, consumers’ perceived usefulness and perceived ease of use positively affected customer satisfaction. Furthermore, the path analysis result demonstrates that usage attitude is the most significant factor for customer satisfaction, and the second-most important factor is the cognition of compatibility’s indirect effect on usage attitude.

The paper extends our understanding of the insured’s usage attitude toward and satisfaction with life insurers’ app services by integrating the technology acceptance model and innovation diffusion theory. The results have practical implications for reinforcing customer relationship management and contribute to fulfilling the need for marketing evidence in life insurance.

This study seeks to explore the impact of “fear of missing out” (FOMO) and “psychological enhancement” (PE) on addiction to social media applications, subsequently influencing users' life satisfaction and continuous usage intention.

This research involved the administration of two sets of questionnaires during distinct periods: December 15 to December 30, 2022 and August 26 to September 2, 2023. The participants were college students from three universities in China, and the data collection utilized the “Questionnaire Star” platform. Only responses deemed valid and consistent were included in the subsequent statistical analysis. A total of 1,108 valid samples were used for the final analysis. Analyses including reliability, validity, path analysis, structural equation modeling, mediation effects and moderation effects were conducted using SPSS and AMOS software.

The study revealed that both FOMO and PE exerted positive influences on users' addiction to social media applications. Furthermore, this addiction was found to have a negative effect on users' life satisfaction while simultaneously contributing positively to their intention to continue using these platforms. The mediating effect of social media application addiction and the moderating impact of self-regulation were also substantiated through the analysis.

Firstly, it is important to note that the research population of this study is limited to college students, which may limit its generalizability and representativeness. Although college students are a group known for their familiarity with and frequent use of smartphones and social media apps, the findings may not fully capture the behaviors of social media app users in other age groups. To enhance the understanding of social media app addiction across different age groups, future studies should consider expanding the research population and conducting multi-group difference analyses. Secondly, while focusing on specific users within a particular region can minimize unexplained variance in model estimation, it may also restrict the broader applicability of the study results. Therefore, future studies should consider testing the research model with diverse groups from different regions and cultural backgrounds. This approach will provide valuable insights into how social media app addiction may vary across various contexts, thereby enriching our understanding of this phenomenon.

Our findings reveal that in the “attention economy” environment shaped by addiction, social media app managers should leverage technology to swiftly and accurately target audiences, attract them to their platforms and cultivate long-term relationships. Encouraging users to develop new beneficial habits through app-specific functions and precise services will foster continuous usage and unlock revenue and marketing opportunities for app companies.

Despite the extensive scholarly discourse on social media application addiction, there is a lack of a well-defined framework delineating how addictive user behaviors can be leveraged in the marketing strategies of social media application platforms. The present study seeks to address these gaps, contributing to a better understanding of the formation mechanisms and knowledge systems related to social media application addiction. By investigating the causes and consequences of such addiction, this research offers valuable insights and recommendations for the innovative development of these apps, given their widespread popularity. Concurrently, the study establishes a theoretical basis for the concept that users can mitigate the negative effects of social media addiction by exercising their own self-regulation.

As the functionalities and features of social media apps converge, their individual uniqueness starts to diminish, intensifying the competition among social media companies. This escalating rivalry places higher demands on these companies. This study aims to aid social media app companies in comprehending and analyzing the diverse psychological needs of users. By enriching their platform features and services, leading users towards addiction and gaining an edge in the “Attention Economy” competition. Understanding and catering to users' needs will be instrumental in thriving within this dynamic and evolving attention economy landscape.

This study aims to explore the impact of channel integration on usage intention through mobile applications (apps) for customers in grocery retailers. Moreover, the study examines the moderating effect of customer commitment in the model.

Structural equation modeling was conducted on a sample of 536 consumers in Taiwan.

This study found that information integration, marketing integration and operational integration are three significant dimensions of channel integration in grocery retailers. Channel integration positively affects satisfaction and trust, which, in turn, increases usage intention. Moreover, customer commitment significantly moderates the relationships in the model.

Sample bias may exist because the sample was obtained from an online survey conducted on social media platforms.

This study suggested that practitioners should confidently implement channel integration through mobile apps in stores. They may develop more valuable services connected with different channels or devices to assist customers in buying in-store. To improve customer trust in the service, practitioners can enhance their confidence in using mobile apps in their stores. Moreover, practitioners segment customers based on high and low levels of customer commitment to provide different strategies to increase usage intention in the retailer.

This study advanced the extant knowledge of channel integration theory and relationship marketing theory in the context of omnichannel retailing.