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Information asymmetry is an inevitable issue in e-commerce and largely hampers the development of online shopping. The purpose of this paper is to propose a model to investigate the emotional content of online customer reviews, which are considered an efficient way to reduce information asymmetry, as a potential signal of product quality. The moderating effects of perceived empathy and cognitive effort are also explored on the basis of signaling theory.

A laboratory experiment with 120 subjects was used to empirically test the proposed research hypotheses. The subjects were randomly assigned to two treatment groups, with 60 subjects in each group. ANOVA, linear regression and binary logistic regression were used.

The emotional content of online customer reviews positively influences perceived product quality, which subsequently and positively affects purchase decisions. The emotional content of online customer reviews greatly influences perceived product quality when perceived empathy or cognitive effort is high.

This study is the first to extend extrinsic cues to emotional content on the basis of signaling theory and reveals the important role of emotional content of reviews. Moreover, the mediating effect of perceived product quality and the moderating effect of perceived empathy and cognitive effort illustrate the mechanism of the influence of emotional content on purchase decision. Findings demonstrate the positive signal of emotional content and provide important practical implications for sellers and customers.

Government social media profiles (GSPs) are increasingly used by government agencies during social crises, and the success of GSPs is highly dependent on netizens’ participation behavior (NPB). Drawing upon the social support theory, the purpose of this paper is to propose a theoretical model to examine the determinants and outcomes of NPB during a social crisis.

To test the research model, a field survey was conducted in the context of Tianjin 2015 explosions in China. The authors adopted a two-step approach to test the models. First, the authors conducted exploratory factor analysis to evaluate the measurement properties of the reflective latent constructs. Then, the authors performed a structural equation analysis to test the hypotheses.

The results show that information support and emotional support are significant determinants of NPB and persona involvement moderates the relationships between them. Additionally, this study reveals that information source preference and increasing enthusiasm for becoming a civil journalist are two critical and significant outcomes of NPB.

There are some limitations in this paper that must be taken into account when interpreting its findings. First, the study is designed on a single profile and concerns a single social crisis. Additionally, future research might consider incorporating factors beyond the individual level, e.g., community social capital (Putnam, 1993). Finally, with the emergence of various IT platforms, such as a government’s own website and online forms, future research can investigate how their characteristics can facilitate other social media platforms’ participation.

This paper offers a number of crucial research implications to the literature of social media in crisis management, thereby contributing to the explanation of NPB on GSPs in the management of social crises. Considering social support as a factor affecting NPB on GSPs, the authors also add personal involvement to the research on the functions of NPB on GSPs and include encouraging civil journalist and making GSPs the principal source of political information.

The research provides participating netizens on GSPs with some suggestions about generating more cost-effective and useful interventions to improve netizen participation levels on GSPs. The findings highlight that governmental social media profiles must focus on continuous development, such as trying best to satisfy the habits of netizens, to motivate netizens to create dependence of information acquisition on the GSPs, called information source preference. On the other hand, the study reminds netizens of the importance of NPB on GSPs during crises and encourages them to act as civil journalist.

First, the study investigated the outcome effect of NPB on GSPs on netizens’ information source preference and civil journalist. Second, this study identifies the determinants of NBPs on GSPs from both the informational and the emotional support perspectives. Third, this study investigates the moderating effects of personal involvement on the relationships between determinants from social support and NPB on GSPs.

Drawn from the social playfulness literature and the elaboration likelihood model, the purpose of this paper is to propose and test a research model to examine users’ continuous participation in SNS game applications.

A field survey with 133 subjects was conducted to test the research model.

Two identified design features, symbolic physicality and inherent sociability, are found to influence users’ perceived curiosity and perceived enjoyment toward playing SNS game applications. Perceived enjoyment is significantly associated with perceived curiosity and predicts users’ continuous participation of SNS game applications. The authors also observed a gender difference of social playfulness design on perceived curiosity.

Use intention was used as a proxy for actual use behavior, since objective data on continuance behavior was not available. Additionally, the contributions of this study may be constrained by one single sample.

The findings of the study suggest practical guidelines for designing game applications in SNS through socialization design and symbolic physicality. Further, based on the findings of gender differences, a personalization game design strategy is provided.

The study contributes to the post-adoption IS literature and sheds light on the interesting area of social media participation. Additionally, this study enriches the online gaming research by demonstrating gender differences.

The purpose of this paper is to explore the potential of enriching the library subject headings with folksonomy for enhancing the visibility and usability of the library subject headings.

The WorldCat-million data set and SocialBM0311 are preprocessing and over 210,000 library catalog records and 124,482 non-repeating tags were adopted to construct the matrix to observe the semantic relation between library subject headings and folksonomy. The proposed system is compared with the state-of-the-art methods and the parameters are fixed to obtain effective performance.

The results demonstrate that by integrating different semantic relations from library subject headings and folksonomy, the system’s performance can be improved compared to the benchmark methods. The evaluation results also show that the folksonomy can enrich library subject headings through the semantic relationship.

The proposed method simultaneous weighted matrix factorization can integrate the semantic relation from the library subject headings and folksonomy into one semantic space. The observation of the semantic relation between library subject headings and social tags from folksonomy can help enriching the library subject headings and improving the visibility of the library subject headings.

This study aims to solve the problem that the traditional hierarchically performed hazard origin and propagation studies (HiP-HOPS) cannot make dynamic model for the complex system such as integrated modular avionics (IMA) system.

A new combination method that combines HiP-HOPS with architecture analysis and design language (AADL) is proposed.

The combination method potentially reduces the amount of rework required for safety analysis and modelling of a modified design.

Modelling the IMA system with the combination method can just make qualitative analysis but cannot make quantitative analysis.

The static model depicts the fault propagation among the components while the dynamic model describes the composite fault with AADL for IMA system.

The results of the case study show that the proposed method not only keeps model consistency but also makes safety analysis and modelling for IMA system efficiently.