Purpose: Travel companies are increasingly hosting online communities to extend their initiatives of customer relationship management and gain additional insight into their business. While the benefits to companies from hosting online communities are clear, another closely related issue has not been given comparative attention: Why do customers engage voluntarily in online travel communities? The purpose of this paper is to answer the question by developing and testing a conceptual model that exploring the influence of socialization interactions on customer engagement with the community. Design/methodology/approach: Hypotheses were tested by applying structural equation modeling based on survey data collected from an online travel community (n=665). Findings: The results supported the research hypotheses and demonstrated that socialization interactions (i.e. information and social exchange) in the online travel community are important catalysts for customer engagement. Originality/value: The contribution of this study is twofold. First, from a theoretical perspective, it offers new insights into the conceptualization of customer engagement and its antecedents in the context of the online travel community. Second, from a pragmatic perspective, the conceptual model derived from this research aids practitioners in stimulating customer engagement from the perspective of socialization interactions.

Environmental issues recently have emerged as an important research problem. The enterprise’s green production and the government’s supervision is the keyway to reduce environmental hazards. Against this background, in this paper, we described green production supervision as a game between the enterprise and the government. Unlike previous studies, we considered the impact of limited resources of the enterprise when building the game model, which makes the model more in line with the actual situation. Because of the bounded rationality of the players, an evolutionary game model is built. The enterprise’s goal was profit maximization in the game. And the government’s goal was assumed to be social profit maximization. Solving the evolutionary game model, the evolutionarily stable strategy (ESS) of the model is obtained. Then, an impact analysis of how supervisory parameters affected the ESS is provided. Subsequently, we proposed some effective measures to reduce environmental hazards, such as increasing the penalty on the enterprise once pollution is discovered, reducing the mandatory green production cost reasonably, increasing the taxation ratio and improving public participation. The specific conditions of these parameters for better ESS are given based on the impact analysis. These conditions can guide the government’s decision-making in green production supervision.

Fossil fuel usage has a great impact on the environment and global climate. Promoting new energy vehicles (NEVs) is essential for green and low-carbon transportation and supporting sustainable development. Lithium-ion power batteries (LIPBs) are crucial energy-storage components in NEVs, directly influencing their performance and safety. Therefore, exploring LIPB reliability technologies has become a vital research area. This paper aims to comprehensively summarize the progress in LIPB reliability research. First, we analyze existing reliability studies on LIPB components and common estimation methods. Second, we review the state-estimation methods used for accurate battery monitoring. Third, we summarize the commonly used optimization methods in fault diagnosis and lifetime prediction. Fourth, we conduct a bibliometric analysis. Finally, we identify potential challenges for future LIPB research. Through our literature review, we find that: (1) model-based and data-driven approaches are currently more commonly used in state-estimation methods; (2) neural networks and deep learning are the most prevalent methods in fault diagnosis and lifetime prediction; (3) bibliometric analysis indicates a high interest in LIPB reliability technology in China compared to other countries; (4) this research needs further development in overall system reliability, research on real-world usage scenarios, and advanced simulation and modeling techniques.