Green gamification embeds game elements into non-game green information systems to tackle environmental degradation by encouraging pro-environmental behaviours. However, its real-world impact has been limited by a lack of meaningful engagement among users. To overcome this challenge, it is crucial to promote meaningful engagement through motivations and explore the intricate relationships that underlie them. We propose a configurational model based on self-determination theory to explore how different motivations combine to impact the two meaningful engagement outcomes: experiential outcome (participation for positive experience) and instrumental outcome (participation to fulfil specific tasks). Using a two-wave longitudinal design with both subjective and objective data, we conduct necessary condition analysis and fuzzy-set qualitative comparative analysis to identify four configurations that stimulate meaningful engagement. Specifically, the experiential outcome is driven by a combination of high hedonic, high pro-environmental, high social interaction, and low recognition motivations. The instrumental outcome is enhanced by configurations of high intrinsic (hedonic and achievement), low pro-environmental, and high self-expression (or low recognition) motivations. These findings yield four propositions that provide a theoretical foundation for future research and practical insights for designing more effective green gamification applications.

Abstract As a healthcare ICT4D solution, mobile health (mHealth) can potentially improve users' well‐being during pandemics, especially in developing countries with limited healthcare resources. Recent ICT4D research reveals that providing end‐users with access to ICT is insufficient for improving well‐being and, thus, understanding how mHealth empowers end‐users to enhance well‐being against stressful events is important. However, prior research has rarely discussed the issue of empowerment in the domain of mHealth or the context of major disruptive events. This paper contributes to the literature by conceptualizing the psychological empowerment of mHealth users (PEMU) and investigating its nomological network during pandemics. Drawing upon theories of psychological empowerment and event characteristics, we developed a research model and tested it through a mixed‐methods investigation, containing a quantitative study with 602 Chinese mHealth users during COVID‐19 and a follow‐up qualitative study of 326 online articles and reviews. We found that PEMU, driven by three technological characteristics (perceived response efficacy, ease of use, and mHealth quality), affects well‐being through both (a) a stress‐buffering effect, which counterbalances the detrimental, stress‐increasing effects of event criticality and disruption, and (b) a vitality‐stimulating effect, which is intensified by event criticality. These findings have important implications for ICT4D research and practice.

With the power system reform and the increase of distributed energy penetration, effective dispatch of distributed energy faces opportunities and challenges. Traditionally, the centralized power transaction mode has high maintenance cost, low efficiency and untimely settlement. Therefore, it is hard to adapt to the high-frequency and small-scale distributed energy trading scenarios. To this end, this paper mainly proposes a distributed power trading method based on blockchain considering security constraints. The paper first reviews the development history of blockchain technology, and explores the theory of blockchain technology. At the same time, it combines the analysis of distributed energy features and summarizes some requirements for building a distributed energy trading market. Then the mechanism and model of distributed power trading considering security constraints are constructed. Finally, a distributed power trading method based on blockchain is proposed to ensure the transparency of transactions, and to provide smart contracts for distributed power multilateral transactions. Through the example of the Ethereum blockchain, the distributed power trading method based on blockchain proposed in this paper can realize the over-limit correction of power flow and the multilateral trading of power, and realize the digital management of electric energy.

Disclosing status information through microblogging can facilitate effective and efficient electronic word-of-mouth marketing. Therefore, we should understand why people share status information and why certain pieces of content are being shared more often than others. This study adopted an impulsive perspective to investigate status-sharing behaviour in microblogs, which is more spontaneous and unplanned compared with that displayed in traditional virtual communities. Specifically, this study developed a theoretical model to investigate the association among personality traits, emotions, and urge to share status through microblogging. The research model was empirically validated by conducting an online survey among the users of a prevalent microblogging service in China. These users’ urge to share their status was influenced by their personality traits and emotions. Moreover, people with a high level of sharing impulsiveness were inclined to generate negative emotions, whereas those with a high level of inherent novelty seeking could easily induce positive emotions.

In this study we examine the contingent effects of two cultural values, indulgence and individualism, on the relationships between perceived benefits (utilitarian value, hedonic value, and relational capital), affective commitment, and continuance intention in social virtual worlds. We test our theoretical model in multi-group analyses using SmartPLS 2.0, based on a sample of 414 Second Life users from the U.S.A., Great Britain, and numerous other countries. By comparing the high- vs the low-indulgence subsamples, we find that indulgence weakens the effect of utilitarian value, but strengthens the effect of hedonic value, on affective commitment. Furthermore, compared with low-individualism users, the users with high-individualism showed a weaker effect of relational capital on affective commitment, as well as a weaker effect of affective commitment on continuance intention. The theoretical, empirical, and practical implications of these findings are also discussed.

Popular interest in online communities has grown rapidly in recent years as a result of the widespread diffusion of Web 2.0 applications. However, the full values and potential of online communities cannot be realised without users' ongoing participation. Thus, this study aims at developing and empirically testing a research model to examine users' continuance intention to participate in an online community based on an extended information systems (IS) continuance model. Specifically, entertainment value and affective commitment are included in the IS continuance model and empirically examined in the context of online communities. A total of 240 returns collected from an online survey, which was conducted among users of a website bulletin board-based community in China, were analysed using partial least squares. The results reveal that users' continuance intention to participate in an online community is determined by both satisfaction and affective commitment. Satisfaction and affective commitment are, in turn, influenced by positive disconfirmations of purposive and entertainment values. The findings of this study contribute not only to theory building in online community continuance but also inform online community moderators in their effort to develop strategies for retaining their users.