Not all posts are treated equal: An empirical investigation of post replying behavior in an online travel community

The post replying behavior in online communities (OCs) has garnered little consideration, even though the feedback behavior represents the central social dynamic of OCs and greatly determines the vibrancy of OCs. To fill this gap, this study aims to identify major sharing post-related variables that explain the heterogeneity in the post replying behavior in knowledge sharing OCs. The research model is validated through a panel dataset assembled from an online travel community. The results reveal that sharing post length and vividness, contributors’ expertise and degree centrality, and members’ social interactions have significant associations with the number of replying posts.     

Community engagement and online word of mouth: An empirical investigation

How customer engagement in a firm’s social media marketing platform ? online brand community ? might affect word-of-mouth behavior is an open research issue as well as a vital business problem in e-commerce. To this end, we collected a set of longitudinal data that include community engagement behavior, e-commerce transactions, and customers’ post-purchase reviews. Using a control function approach, we find that consumer engagement in a brand community not only increases the likelihood of generating post-purchase reviews but also increases the likelihood of posting positive online reviews. Furthermore, we find that customer tenure has a positive moderating effect.     

The influence of user-generated content on traveler behavior: An empirical investigation on the effects of e-word-of-mouth to hotel online bookings

The increasing use of web 2.0 applications has generated numerous online user reviews. Prior studies have revealed the influence of user-generated reviews on the sales of products such as CDs, books, and movies. However, the influence of online user-generated reviews in the tourism industry is still largely unknown both to tourism researchers and practitioners. To bridge this knowledge gap in tourism management, we conducted an empirical study to identify the impact of online user-generated reviews on business performance using data extracted from a major online travel agency in China. The empirical findings show that traveler reviews have a significant impact on online sales, with a 10 percent increase in traveler review ratings boosting online bookings by more than five percent. Our results highlight the importance of online user-generated reviews to business performance in tourism.     

An investigation into the antecedents of prepurchase online search

This study investigates what influences consumers' extent of online search (i.e., the number of relevant web stores visited) before a purchase. A dataset containing website visitation and transaction activities from a panel of US consumers is used to test the hypotheses developed in the study. The results indicate a diminishing effect of competitive density on the extent of search, and the use of advanced information technologies induces more searches. Consumers also search more for experience products than for search products in contrast to the prediction in the nonelectronic market. Furthermore, online purchase experience increases, while product-specific experience reduces, prepurchase search.     

Why do you return the favor in online knowledge communities? A study of the motivations of reciprocity

Online knowledge community administrators are attempting to encourage their users to contribute knowledge in order to provide value to members and maintain sustainability. A large number of online knowledge communities fail mainly due to the reluctance of users to return the favor and share knowledge. Many studies on this topic have highlighted the importance of reciprocity for knowledge contribution which forms a virtuous feedback loop for the community sustainability. However, it is unclear how reciprocity is developed and what influences its development. Motivated by this, this study focuses on investigating the antecedents of knowledge receivers’ reciprocity in online knowledge communities. It formulates and tests a theoretical model to explain reciprocity behavior of community members based on equity theory and Social Identity explanation of De-individuation Effects (SIDE) model. Our proposed model is validated through a large-scale survey in an online forum for English learning. Results reveal that indebtedness and community norm not only are key antecedents of intention to reciprocate but are also positively related to each other. The perceived anonymity of the online knowledge community not only has a positive effect on intention to reciprocate, but also has an interactive effect with community norm on intention to reciprocate. Theoretical and practical implications of this study are discussed.     

Perceived self and behavioral traits as antecedents of an online empathic experience and prosocial behavior: Evidence from South Korea

The current study identified and examined perceived self-traits and behavioral traits as antecedents of online empathic experiences and prosocial behavior. Our findings suggest that perceived self-traits (i.e., self-efficacy in online relationship and self-disclosure) are strongly associated with both empathic experiences and prosocial behavior. Findings for the behavioral trait, interaction pattern of an individual, indicate that patterns of an individual's networking produce mixed results in regard to association with prosocial behavior. Bonding networking was found to positively predict prosocial behavior, while bridging networking showed a negative association with the same dependent measure. Identity discrepancy and writing activities were also found to positively affect prosocial behavior. Overall, the finding of this study indicates that perceived self-traits tend to display stronger explanatory power over both empathy and prosocial behavior than do behavioral traits.     

Product recommendation in online social networking communities: An empirical study of antecedents and a mediator

Intention to facilitate individual voluntary product recommendation in online social networking communities has attracted increased attention. However, it is not obvious why individuals recommend products in a community composed of non-transactional users. What are the critical factors influencing such a behavior? To attempt to provide insights into the product recommendation behavior in online social networking communities, we develop a model to investigate the effects of community atmospheric cues on affective social distance and subsequent product recommendations based on the stimulus–organism–response paradigm. By analyzing the results of a survey using a questionnaire, we found that community reciprocity and community receptivity have a direct influence on product recommendation, while community atmospheric cues have an indirect influence through affective social distance. Theoretical and managerial implications are discussed.     

Empirical investigation of customers’ channel extension behavior: Perceptions shift toward the online channel

An increasing number of traditional (offline) firms are opening up their online sales channels. However, a number of them are finding it difficult to increase the utilization of their online channels from their existing customers. The purpose of the current study is to identify factors that influence customers channel extension from the offline to online channel and to understand how these factors influence customers’ behavior towards online channel extension. Drawing on the theory of entitativity formulated by Campbell, we propose a research model of customers channel extension by focusing on the shift of perception from offline to the online channel. The data for the study is collected from a large bank in China. The structural equation modeling analysis results indicate that perceived offline service quality influences perceived online service quality both directly as well as indirectly through perceived entitativity. Perceived online service quality, in turn influences customers’ behavior towards the online channel extension. The results also demonstrate that self-efficacy for change directly influences behavior towards the online channel extension, and it also has an important moderating influence on relationship between perceived offline service quality and perceived online service quality. Theoretical and practical implications of the findings are discussed.     

基于IRC日志的分享型社区结构的研究

用户为导向的在线分享型社区近几年发展迅速,而这些社区与以文字信息为基础的传统社区有较大的不同。利用IRC音乐频道从2001年到2006年的用户日志数据,构建了此共享型社区的用户网络。在对此网络的特点分析之后,将该网络的结构由有向的加权图转换为单向的二部图,从而利用层级聚类的方法,对网络中的用户群落进行了发掘。在此基础上,进一步分析了用户群落的大小,形状和分布的情况。最后根据研究的结果,提出了针对该社区提高服务的方法。     

An empirical investigation of electronic word-of-mouth: Informational motive and corporate response strategy

The proliferation of the Internet has given birth to a number of complaint web sites where dissatisfied and frustrated consumers can easily articulate their opinions and comments on products, services, or companies. Little attention, however, has been paid to the influence of online complaints on potential consumers’ behaviors. This study attempts to provide the understanding of causal attribution process in the online complaining behaviors. The results showed that informational factors, such as vividness and consensus, facilitated consumers’ attribution to companies’ responsibility for the negative events, and subsequently led to changing their evaluation of the companies. In addition, we found that corporate response strategies to online complaints should be different from the conventional response strategies.     

New members’ online socialization in online communities: The effects of content quality and feedback on new members’ content-sharing intentions

Online communities’ viability and success are dependent on current members’ active participation and content contribution, as well as on the sustainable community registration of new members. Based on the member-life cycle perspective, this study attempted to discover mechanisms that might be employed to increase new members’ community participation. This study focused on user-generated content (UGC) sharing. The results of this study suggest that UGC quality gaps that exist between current and new members are important factors that might affect new members’ socialization. In addition, the results demonstrated that feedback provided by members can affect new members’ participation when UGC quality gaps exist. The results revealed that new members preferred an equivalent UGC community to either a superior or inferior community when they were unable to derive benefits from those communities. However, an investigation of the types of feedback provided revealed that new members expressed preferences for superior UGC communities to obtain learning opportunities and expressed preferences for inferior UGC communities to develop social relationships. This study can help researchers better understand how UGC communities’ elements can affect new members’ behaviors. In addition, the results can help community managers devise differentiated approaches.     

Exploring the effect of user engagement in online brand communities: Evidence from Twitter

Social media such as forums, blogs and microblogs has been increasingly used for public information sharing and opinions exchange nowadays. It has changed the way how online community interacts and somehow has led to a new trend of engagement for online retailers especially on microblogging websites such as Twitter. In this study, we investigated the impact of online retailers' engagement with the online brand communities on users' perception of brand image and service. Firstly, we analysed the overall sentiment trends of different brands and the patterns of engagement between companies and customers using the collected tweets posted on a popular social media platform, Twitter. Then, we studied how different types of engagements affect customer sentiments. Our analysis shows that engagement has an effect on sentiments that associate with brand image, perception and customer service of the online retailers. Our findings indicate that the level, length, type and attitude of retailers' engagement with social media users have a significant impact on their sentiments. Based on our results, we derived several important managerial and practical implications.     

Herding behavior in online P2P lending: An empirical investigation

We study lender behavior in the peer-to-peer (P2P) lending market, where individuals bid on unsecured microloans requested by other individual borrowers. Online P2P exchanges are growing, but lenders in this market are not professional investors. In addition, lenders have to take big risks because loans in P2P lending are granted without collateral. While the P2P lending market shares some characteristics of online markets with respect to herding behavior, it also has characteristics that may discourage it. This study empirically investigates herding behavior in the P2P lending market where seemingly conflicting conditions and features of herding are present. Using a large sample of daily data from one of the largest P2P lending platforms in Korea, we find strong evidence of herding and its diminishing marginal effect as bidding advances. We employ a multinomial logit market-share model in which relevant variables from prior studies on P2P lending are assessed.     

Predicting consumer intentions to shop online: An empirical test of competing theories

The proliferation of commercial Web sites providing consumers with a new medium to purchase products and services has increased the importance of understanding the determinants of consumer intentions to shop online. This study compared the technology acceptance model and two variations of the theory of planned behavior to examine which model best helps to predict consumer intentions to shop online. Data were gathered from 297 Taiwanese customers of online bookstores, and structural equation modeling was used to compare the three models in terms of overall model fit, explanatory power and path significance. Decomposing the belief structures in the theory of planned behavior moderately increased explanatory power for behavioral intention. The results also indicate that the decomposed theory of planned behavior provides an improved method of predicting consumer intentions to shop online. Finally, the implications of this study are discussed.     

Understanding lurkers in online communities: A literature review

In internet culture, lurkers are a special group of website users who regularly login to online communities but seldom post. This study aims to provide an overall understanding of lurkers by explaining the definition of lurkers, discussing the reasons for lurking and providing suggestions on de-lurking. To understand the reason for lurking, this study first explains why people participate in online communities by building an integrated model of motivational factors of online behaviors. This model classifies motivational factors into four categories: the nature of the online community, individual characteristics, the degree of commitment and quality requirement. Based on this model, four types of lurking reasons are identified: environmental influence, personal preference, individual-group relationship and security consideration. Finally, several strategies for motivating participation in online communities are provided, including external stimuli, improved user-friendliness, encouragement of participation and guidance for newcomers.     

The atmospheric factors of online storefront environment design: An empirical experiment in Taiwan

The purpose of our study was to identify the effect of atmospheric factors such as music and color on participants’ emotional responses and subsequent shopping behavior in an online store setting. In this study, a laboratory experiment was conducted to test our hypotheses. The experiment was a 2 (music: fast/slow) × 2 (color: warm/cool) between-subjects factorial design with one control group. The results indicated that both music and color factors had a significant effect on participants’ emotional response, which in turn influenced their intention to purchase. Specifically, participants felt more aroused and experienced greater pleasure when they were exposed to fast-tempo music and a warm color website than those people who experienced slow-tempo music and cool colors. In addition, both pleasure and arousal emotions were significant predictors of approach–avoidance intention. We expected that a well-designed website with adequate music and color attributes would create a desired environment and thus entice and retain target customers. Our findings should help in deciding on ambient factors in online website design. Although studies on atmospheric effects in traditional stores have been abundant, knowledge of their effect in the online retail context has been sparse.     

Utilitarian motivations in online consumption: Dimensional structure and scales

To date, the utilitarian benefits of online consumption have only been partially investigated. This study undertakes an exhaustive approach to fully delimit the dimensional structure related to the utilitarian motivations for online consumption. First, an in-depth literature review is carried out, in order to allow the proposal of an aprioristic base structure of eleven categories of utilitarian motivations. Next, qualitative analyses (focus groups and personal interviews) are applied to assess and eventually refine the structure of utilitarian motivations proposed after the literature review, their labels and respective measurement scales. Finally, this qualitative phase concludes with ten motivational categories and 46 items. Then, quantitative analyses (exploratory and detailed confirmatory factor analyses) are applied, based on a questionnaire administered to a sample of 667 Internet users, to keep refining and to eventually validate both the dimensional structure of motivations and the related measurement scales. Finally, a structure of 9 utilitarian motivations (and corresponding set of 36 items) is established, with the following labels: assortment, economy, convenience, availability of information, adaptability/customization, desire for control, payment services, anonymity, and absence of social interaction. The nomological validity of this structure is satisfactorily tested using a second-order factor model. The article finishes by discussing some implications for practitioners.     

Consumer behavior in online game communities: A motivational factor perspective

The concept of online communities has been used to improve customers’ loyalty in recent years. While studies on transaction community such as online auction have received more attention in the literature, entertainment community such as online game has seldom been addressed. This study applies the theory of reasoned action (TRA) and modifies the technology acceptance model (TAM) to propose a research model. An empirical study involving 356 subjects was conducted to test this model. The results indicate that customer loyalty is influenced by perceived enjoyment, social norms and preference. Perceived cohesion has an indirect impact on loyalty. In addition, the finding’s practical implication suggests that community managers must overcome the problems users encounter, including suffering from an unstable system, malicious players and grief players.     

How information-sharing values influence the use of information systems: An investigation in the business intelligence systems context

Although the constituents of information systems (IS) success and their relationships have been well documented in the business value of information technology (IT) and strategic IS literature, our understanding of how information-sharing values affect the relationships among IS success dimensions is limited. In response, we conduct a quantitative study of 146 medium and large firms that have implemented a business intelligence system in their operations. Our results highlight that in the business intelligence systems context information-sharing values are not directly linked to IT-enabled information use, yet they act as significant moderators of information systems success dimensions relationships.     

Personality traits and knowledge sharing in online communities

Adopting diffusion theory and the concept of social value orientation, the effects of personality traits on knowledge sharing in a virtual open content community are investigated. In addition to the main effects of personality, it was hypothesized that intrinsic motivations would moderate the effects on knowledge sharing. A sample of N = 256 active users of Wikipedia provided measures of personality, motivation, and knowledge sharing. Latent regression analyses support the notion that authorship of Wikipedia is associated with higher levels of trendsetting and a prosocial value orientation. Moreover, moderation analyses demonstrate that the effect of the latter is moderated by individual differences in motivations to write. Differences with regard to opinion leadership could not be confirmed.