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Prior research on user-generated content (UGC) contributions has primarily focused on self-centered or other-centered motives, paying limited attention to the concept of enlightened self-interest, in which both motives coexist in a single organism. Additionally, the factors influencing enlightened self-interest and their effects in different circumstances are yet to be explored. Drawing on theoretical lenses rooted in the switching barriers perspective and stimulus–organism–response framework, this study posits that dedication-based switching barriers (community–member relationship quality, member–member relationship quality, and content attractiveness) positively relate to enlightened self-interest, whereas constraint-based switching barriers (switching costs) moderate the relationship between dedication-based switching barriers and enlightened self-interest in social media communities (SMCs). Members' enlightened self-interest in turn influences both the creation and co-creation of UGC.

This study comprised two quantitative studies: an online survey-based study (Study 1) and an online scenario-based experiment (Study 2). Study 1 surveyed 613 respondents, while Study 2 included 749 participants. Both studies employed structural equation modeling and bootstrapping techniques for analysis.

The findings indicate that dedication-based switching barriers positively affect users' enlightened self-interest, which in turn is positively associated with UGC creation and co-creation. Switching costs moderate the relationship between relationship quality (community–member and member–member) and enlightened self-interest.

This study complements the current understanding of how the association between dedication- and constraint-based switching barriers and users' enlightened self-interests influence user-generated contributions.

Although prior research has employed various variables to predict player churn, the dynamic evolution of the behavioral patterns of players has received limited attention. In this study, churn prediction models are developed by incorporating the progress level, in-game purchase, social interaction, behavioral pattern and behavioral variability (BV) of players in social casino games (SCGs). The study distinguishes churn prediction between two player groups: monetizers and non-monetizers.

This study employs three machine learning techniques—logistic regression, decision trees and random forests—using real-world player data from an SCG company to construct churn prediction models. Two experiments were conducted. In Experiment 1, BV was combined with four other variable categories to effectively predict churn behaviors across all players (n = 52,246). In Experiment 2, churn prediction models were developed separately for monetizers (n = 16,628) and non-monetizers (n = 35,618).

The findings from Experiment 1 indicate that incorporating BV significantly improves the overall performance of churn prediction models. Experiment 2 demonstrates that churn prediction models achieve better performance and predictive accuracy for monetizers and non-monetizers when BV is calculated over the 3-day to 7-day and 7-day to 14-day windows, respectively.

This study introduces BV as a novel variable category for churn prediction, emphasizing within-person variability and demonstrating its effectiveness in enhancing model performance. Churn prediction models were independently constructed for monetizers and non-monetizers, utilizing different time windows for variable extraction. This approach improves predictive performance and highlights key differences in critical variables influencing churn across the two player groups. The findings provide valuable insights into churn management strategies tailored for monetizers and non-monetizers.

Leveraging the power of corporate social responsibility (CSR) is strategically important to corporations. Although various studies have explored the positive effects of CSR, few have been devoted to the investigation of CSR related to service employees from the internal marketing perspective. Therefore, this study fills this research gap by developing a conceptual model based on social influence theory to explain how internal CSR initiatives affect service employees' attitudes and behaviors.

This study develops and empirically tests a theoretical model examining the impact of internal CSR initiatives (i.e. internal dissemination of and management support for CSR) on service employees' attitudes toward an organization (i.e. employee–company identification and value congruence), which ultimately enhance their organizational citizenship behaviors (OCBs) toward customers, other employees and the organization. Survey data from 271 frontline employees of service firms actively involved in CSR-related activities were examined with structural equation modeling.

The results suggest that perceived internal dissemination of and management support for CSR affect service employees' citizenship behaviors toward customers, other employees and the organization through the mediation of employee–company identification and value congruence.

Internal CSR initiatives are highly related to service employees' various OCBs that are beneficial to improving the service performance of firms. Therefore, it is imperative for companies to devote attention to internal marketing dissemination while promoting CSR. In addition, as managers' attitudes and behaviors trickle down to employees, service supervisors' support of CSR activities plays a significant role in forming employee perceptions of a firm's CSR dedication.

This study represents one of the first to view internal CSR initiatives as an effective internal marketing lever. Moreover, the relationship between internal CSR initiatives and service employees' OCBs – OCB toward customers, other employees and the organization – is proposed and tested with an empirical model, providing significant contributions.

Demand for long-term care services increases with population aging. This study aims to develop a conceptual model of elderly customers’ health-care experiences to explore the antecedents, mechanisms and outcomes of social participation in long-term care service organizations.

Using a two-phase data collection approach, this study collects data from 238 elderly customers in a long-term care service organization. The final data are analyzed through structural equation modeling.

The results show that care management efforts (i.e. customer education, perceived organization support, role modeling, perceived other customer support and diversity of activity) influence elderly customers’ psychological states (i.e. self-efficacy and sense of community), leading to increased social participation. In addition, high levels of social participation evoke positive service satisfaction and quality of life, both of which alleviate switching intention.

This study is one of the first conclusive service studies focused on the role of elderly customers’ social participation in their long-term care experience. The findings contribute to health-care service marketing and transformative service research, and expand understanding of elderly customers’ health-care experience, especially in long-term care service settings.

Social networking sites (SNSs) have significantly influenced people's lives and changed their behavior. Although previous research has explored self-disclosure in virtual communities, little is known about the impact of other users, particularly their online social support, on self-disclosure. The aim of this study is to explore how online social support dimensions (i.e., emotional, informational, esteem, instrumental and network support) influence people's self-disclosure, which in turn affects their commitment to SNSs.

Based on social exchange theory, this study proposes a research model that explores the role of other users on self-disclosure. This study collects data from a sample of 558 respondents and applies the structural equation modeling technique to test the research model.

The findings show that users are motivated to disclose information and commit to a specific SNS because of the supportive climate. Results also show that self-disclosure mediates the effect of online social support on users' commitment to SNSs.

This study focuses on the influence of other users' roles on self-disclosure on SNSs, extending the application of social exchange theory.

Despite double deviation being an acknowledged phenomenon in services marketing, less research has been devoted to the evaluation of the underlying relationships between cognitive appraisals, customer forgiveness and postrecovery actions following a double deviation. Therefore, this study aims to develop and empirically test a conceptual model to determine the role of customer forgiveness and its boundary conditions in double-deviation scenarios based on the stress and coping theory.

This study aggregated 290 survey data by adopting the retrospective experience sampling method and examined the proposed model using structural equation modeling and bootstrapping analysis.

The results confirm that customer forgiveness mediates the link between service recovery dissatisfaction and postrecovery customer complaints (i.e. online and third-party complaints). Additionally, attribution-based factors (i.e. stability and controllability attributions) positively moderated the service recovery dissatisfaction–customer forgiveness relationship. Finally, these findings exhibit that relationship-based factors (i.e. relationship duration and affective commitment) had negative moderating effects on the service recovery dissatisfaction–customer forgiveness link.

Without ensuring customer forgiveness, customers who experience failure twice in a row may act more aggressively to damage service firms. Yet, knowledge of customer forgiveness in a double-deviation scenario is still lacking. The results make twofold contributions to the service recovery literature. First, this study emphasizes customer forgiveness as an integral coping response that has a mediating role in the relationship between service recovery dissatisfaction and postrecovery customer complaints. Second, this study shed insights into boundary conditions of customer forgiveness by identifying attribution- and relationship-based factors as moderators.

This study aims to examine the social capital and technical determinants of knowledge adoption intentions in virtual communities and to explore the differences between posters and lurkers.

An online survey was conducted with a sample of 318 virtual community participants for a structural equation model test.

The structural and cognitive social capital, peer influence, and perceived usefulness positively contribute to virtual community participants' attitudes and intentions toward knowledge adoption. Lurkers' attitudes are more influenced by network ties, reciprocity norms, shared vision, and perceived usefulness, whereas posters are more affected by social trust and shared language.

The results produced in the Chinese context may not fully apply to other cultures.

Devising effective strategies to increase social capital and content value is crucial for fostering virtual community members' positive attitudes toward knowledge adoption.

This study is one of the first to combine and examine social capital and technology acceptance theories with regard to the knowledge adoption intentions of posters and lurkers in virtual communities.