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Users' continuance intention is vital to the future of mobile social networking service (SNS) with rapid development and intensive competitions among its providers. The purpose of this research is to identify the factors affecting mobile SNS users' continuance intention.

Data from an online survey administered to 228 mobile SNS users are used to test the research model through the use of structural equation modelling.

The results show that flow, perceived usefulness and satisfaction determine continuance intention of mobile SNS. Moreover, the authors found that referent network size and perceived complementarity are the main factors affecting flow, whereas information quality is the main factor affecting perceived usefulness. Only system quality significantly affects satisfaction.

The results imply that mobile service providers need to take the functional characteristics of the mobile SNS (e.g. system quality and information quality), network externalities (referent network size and perceived complementarity) and flow experience into consideration when encouraging users' continuance intention towards mobile SNS.

Extant research has focused on initial adoption and usage of mobile SNS and has seldom considered post-adoption usage, which is critical to mobile service providers' success. This research tries to fill the gap by examining continuance intention to use mobile SNS. The theory embedded within the IS success model, network externalities and flow theory articulated that these three research domains can be integrated to better understand the factors that influence mobile SNS users' continuance intention.

The paper aims to investigate how a tablet's design features, namely, its navigation design and visual appearance, influence users' enjoyment, concentration and control, when using tablets for problem-solving, and thereafter how their core flow experiences impact their perceived performance and efficiency with problem-solving.

This study uses a field survey approach to engage 87 participants in a decision sciences class to use eTextbooks and a few other associated educational apps including CourseSmart app for e-notes and highlighting, sketchbook app and a calculator app in tablets to resolve class problems at a large US university.

This study finds that the tablet's interface design features (navigation and visual appearance) make users engrossed in their problem-solving processes with perceived enjoyment, concentration and control. This, in turn, impacts their perceived performance and efficiency. Moreover, visual appearance plays the most significant role in arousing users' affective emotions (i.e. enjoyment), while interface navigation is crucial to engage users' deep concentration (i.e. cognition) and control for problem-solving.

Modern tablets are being used widely in various sectors. More in-depth user flow experience design associated with tablet use for problem-solving contexts should be further advocated in order to provide more engaging and meaningful flow experiences to users.

This study shows that the design of the tablet interface can engage users in problem-solving processes in both affective and cognitive ways. It provides valuable insights on tablet interface design for problem-solving.

Although the short-video-based application TikTok and its AI-enhanced technology have achieved enormous success and reshaped the user experience, few studies have focused on the user experience in the TikTok context. This study adopts a technology affordance theory lens to identify the main mechanisms contributing to the user experience in the short-video platform context while including user experience level and video length as moderating effects.

This study collected 401 valid questionnaires from TikTok users and used the structural equation modeling approach to examine the proposed research model.

Three technology affordances (perceived effortlessness, perceived recommendation accuracy, and perceived recommendation serendipity) contribute to TikTok users' optimal flow experience. Multi-group analysis results further indicate that individuals react differently to the same stimuli as their experience level increases. Finally, video length critically influences the impact of technology affordances on users' cognitive responses.

As a burgeoning industry, the mechanisms enabling short-video platforms to engage users remain unclear to practitioners and researchers. Thus, this study's technology affordance lens provides necessary insights into how TikTok's innovative and advanced technologies contribute to user flow experience from a context-dependent perspective. Furthermore, given that most existing studies have neglected possible variations in user preferences when investigating the effects of technology, this study enriches the existing literature by employing user experience level and video length as moderators.

The purpose of this paper is to explore the relationships among intrinsic motivation, extrinsic motivation, flow, cognitive attitudes, perceived satisfaction, and purchase intention of consumers’ online shopping from a cognitive attitudes perspective. This study collected data from consumers having bought goods on the e-shopping platform.

This study adopted online questionnaire through my3q (www.my3q.com) for data collection. This research collected and analyzed 866 samples by using the structural equation modeling for validation of the proposed model.

The results indicated that hedonic value, utilitarian value, security, and privacy significantly affected cognitive attitudes (i.e. cognitive trust and perceived risk). Cognitive attitudes significantly affected perceived satisfaction and purchase intention, respectively. Flow significantly and positively influenced cognitive trust and purchase intentions, respectively. Cognitive trust is the mediators between motivations/flow and perceived satisfaction/purchase intention.

Both of intrinsic motivation and extrinsic motivation can reflect the cognitive and conscious plan of an individual for a particular task. The cognitive trust and perceived risk are partial mediator and full mediator in the model, respectively. Hedonic value, utilitarian value, security, privacy, and flow all affect the individual’s perceived satisfaction and purchase intention through cognitive trust and perceived risk in the context of online shopping. Cognitive trust is a full mediator of the effects of privacy on purchase intention. It indicates that consumers must fully trust the website to ensure that the information provided by consumers in the transaction will not spread out for the protection of personal privacy.

This study aimed to assist the marketing personnel of the EC industry to examine the key influential factors of consumers’ purchase satisfactions and purchase intentions. The results of this study indicated that cognitive trust is the foundation for gaining and retaining customers. The classification of consumer motivations facilitates the understanding of consumers’ demands and accurate interpretation of consumers’ needs. The main influential factor of cognitive trust is utilitarian value. Therefore, this study states that the primary intrinsic motivation of online shopping for most consumers is utilitarian value (e.g. saving time, the cost of searching for the appropriate products, and increasing purchasing efficiency).

Websites should strengthen the quality and quantity of product information. In addition, websites should provide a dynamic presentation of the product by presenting in various forms (multimedia and text description) about product-related information in order to increase consumers’ hedonic value. For the aspects of security and privacy, websites should provide consumers with reliable safety features, such as secure socket layer or digital signature, smooth communication channel (specific phone services and e-mail address), and consumer’s privacy statements. Finally, web design should meet with the consumer experience model in order to make the website easy to use and order the purchase from the website directly. Websites should also increase the fluency and positive experience of consumers and improve the interaction of a website. Meanwhile, websites need to feedback the consumer problem instantly and provide customized information in order to increase the chance of interaction between the consumers and the website.

Relevant studies have explored online shopping from various perspectives, but few studies have examined consumers’ cognitive attitudes toward websites from the consumer motivation perspective. Thus, this study focussed on the influences of consumers’ intrinsic and extrinsic motivations (e.g. hedonic value, utilitarian value, security, and privacy) on their cognitive attitudes toward websites. In addition, with the rapid development of the internet in recent years, internet users’ online flow experiences have gained increased attention. The creation of attractive consumption conditions is vital for website managers to provide consumers with flow experiences. Therefore, this study included consumers’ flow in the proposed model.

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.

User discontinuance on short-video platform has become increasingly prevalent in recent years. Short-video discontinuance refers to reduced use, controlled use or suspended use of the short-video platform. In this study, we examined factors associated with discontinuance behavior on short-video platform.

From the perspective of stressor–strain–outcome (SSO), we put forward a theoretical model integrating perceived information overload and perceived system feature overload (stressors), dissatisfaction (psychological strain), flow experience and regret to explain discontinuance behavior on short-video platform (behavioral outcome). We collected 482 survey data from Douyin users in China, and empirically examined the proposed research model via Partial least squares structural equation modeling (PLS-SEM) technique.

Our results demonstrated that perceived system feature overload exerts a positive effect on perceived information overload. Perceived system feature overload has a stronger influence on dissatisfaction than perceived information overload. Regret increases user dissatisfaction, while flow experience decreases user dissatisfaction. We also discovered that dissatisfaction and regret have significant positive effects on discontinuance behavior. Interestingly, flow exerts no significant influence on discontinuance behavior.

This study enriches the body of knowledge on social media discontinuance by revealing the interaction and effects of flow experience, dissatisfaction and regret on discontinuance. This study also extends the understanding on the complex role of flow experience in leading to social media discontinuance. Additionally, this study deepens the research on the interaction between perceived system feature overload and perceived information overload as well as their different influences on negative emotion.

The purpose of this paper is to predict Twitter satisfaction by healthcare professionals through integrating constructs of Csikszentmihalyi’s flow theory, quality dimensions and usefulness.

Survey responses of 108 physicians from a variety of specialisations in the United Arab Emirates have been validated and analysed by means of partial least squares-based structural equation modelling method using smartPLS software.

Service quality has emerged as the most influential quality dimension that positively impact flow state and perceived usefulness of Twitter, while information quality, surprisingly, does not show any effect. The findings also indicate that flow state plays a significant role in shaping physicians’ satisfaction with Twitter. The study also enhances our understanding concerning the effects of perceived usefulness on flow state and satisfaction.

Understanding factors that influence Twitter satisfaction can help healthcare managers construct appropriate intervention strategies for maximising professional benefits of social media and minimising user resistance. This is important because top managers usually ratify traditional practices that are only of limited effect. Also, the findings help vendors to accentuate user’s concerns in addition to system functionalities in social media applications.

The paper is an early attempt to propose a model for social media success in a professional context in general and healthcare in particular. It also one of first studies that examine social media satisfaction through integrating contemporary information system success and acceptance models with flow theory.

Social commerce is a subpart of electronic commerce (e-commerce), where social media is forced to support user contributions. The purpose of this study is to measure the impact of customers' interpersonal interactions in social commerce on customer relationship management (CRM) performance, based on the flow, commitment-trust and stimulus–organism–response (SOR) theories.

On the basis of the SOR framework, the authors developed a study model to determine the impact on CRM performance of customers' interpersonal interactions in social commerce. The primary data of the study were collected from 640 users of social commerce through a web questionnaire during the COVID-19 (coronavirus disease 2019) pandemic situation, and the authors tested the study model using the approach of covariance-based structural equation modeling (SEM).

Results of the current study reveal that customers' interpersonal interactions in social commerce optimistically influence their perceived flow. Moreover, perceived flow absolutely controls users' trust and CRM performance. In turn, collective users' trust positively influences users' commitment and CRM performance. Finally, collective users' commitment absolutely influences the performance of CRM.

The authors provide a valuable contribution to the theoretical field of online marketing and CRM. Besides, the findings of this study are relevant for marketers to know the issues for increasing customer trust, commitment and performance of CRM.

The current study develops a model based on the flow, commitment-trust and stimulus–organism–response (SOR) theories. The authors' research is the first to estimate the effect of customers' interpersonal interactions in social commerce on CRM performance.

The purpose of this paper is to examine the effect of flow experience on users’ social commerce intention.

Based on the 287 valid responses collected from a survey, structural equation modeling was used to examine the research model.

The results indicated that social interaction, which includes human–computer interaction and human–human interaction, has a significant effect on the flow experience, which in turn affects social purchase and social sharing intention.

The results imply that companies need to facilitate social interaction to improve users’ experience and promote their social commerce intention.

Although prior research has examined social commerce user behaviour from multiple perspectives such as trust, perceived value and technological perceptions, it has focused on the effect of cognitive beliefs and neglected the effect of affective beliefs such as flow experience. This research tries to fill the gap.

The purpose of this study is to explore the effect of travel agency’s reputation on customer recommendation behavior by examining the mediating effects of customer-perceived functional and emotional value as well as the moderating effects of tour leader performance and customer flow experience in the travel agency sector.

A statistical analysis of the collected questionnaires was computed based on the 463 usable responses from Taiwan tourists who joining the group package tours traveling to China. Structural equation modeling is the essential analysis methodology used to examine the hypothesized relationships among the variables.

The analysis results confirm that reputation has positive effects on customers recommendation behaviors in which perceived functional and emotional value work as necessary mediating roles. Nevertheless, the effect of reputation through emotional value on customer recommendation behavior provides a much better explanation than through functional value in the model. In addition, regarding the variables of tour leader performance and customer flow experience in the model, only the tour leader performance is confirmed that moderates the relationships among reputation, perceived value, and customer recommendation behavior. According to the findings, managerial implications are discussed as well.

This study develops a conceptual stimulus-organism-response (S-O-R) model that, reflecting the mediating role of perceived value and the moderating role of tour leader performance, indicates the effect of reputation on customer recommendation behavior.