Using insights from email users to inform organisational email management policy

A growing number of firms are using online communities (OCs) as integral parts of their strategies because of the value an OC provides to a firm. This study maintains the commitment to an OC to be critical in developing a sustainable OC and examines how members' commitment to an OC develops in the context of OCs hosted by firms and freely available to anyone. Built on the social exchange theory, the proposed model posits that two aspects of OC attributes (Sociability and Usability) facilitate members' participation in an OC, as well as bring social and functional benefits to participants. In return for the benefits gained from OC participation, participants reciprocate with affective and calculative commitment to the OC. Data were collected via online survey from OC participants who were 18 years old or above and resided in South Korea. An analysis of 595 cases supported the proposed model. Results indicated that the members' perceived social benefits from active OC participation led to an affective commitment to the OC, while members' perceived functional benefits led to a calculative commitment to the OC. Theoretical and managerial implications were suggested based on the findings.     

How social media influence college students’ smoking attitudes and intentions

Building on the influence of presumed influence (IPI) model, this study examines how smoking-related messages on social media influence college students’ smoking. We surveyed 366 college students from three U.S. Midwestern universities in 2012 and examined the effects of expression and reception of smoking-related messages on smoking using path analysis. We found that the expression and reception of prosmoking messages not only directly affected smoking but also had indirect effects on smoking through (1) perceived peer expression of prosmoking messages and (2) perceived peer smoking norms. For antismoking messages, only reception had a significant indirect influence on smoking through (1) perceived peer reception of antismoking messages and (2) perceived peer smoking norms. In conclusion, social media function as an effective communication channel for generating, sharing, receiving, and commenting on smoking-related content and are thus influential on college students’ smoking.     

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.     

Social influence process in the acceptance of a virtual community service

This study investigates the effect of subjective norms, tendency to social comparison, and social identity on behavioral intention to use an Avatar service. Use of a virtual community service can be regarded as social behavior or a behavior affected by social factors. This study relies on the link between subjective norms and behavioral intention in the theory of reasoned action, social identity theory, and social comparison literature. The proposed model was tested using survey data with the results lending support for the proposed model. The implications from this study are expected to contribute to the literature by shedding light on the social influence process in two ways. First, this study unveils how social factors including subjective norms, social identity, and tendency to social comparison affect behavioral intention to use a specific service from virtual communities. Second, this study will aid managers and academics to further understand the social nature of customer behavior with regard to using virtual community services and thus provide insight for the development of technology driven e-commerce. Jaeki Song is Assistant Professor of Information Systems and Quantitative Sciences at the Rawls College of Business Administration at Texas Tech University. His research interests include electronic commerce, web design, information systems strategy, and technology adoption. His work has appeared in Management Science, IEEE Transactions on Professional Communication, Information & Management, and International Journal of Information Management. He also has published book chapters on Global Information Technologies and Electronic Commerce. Yong Jin Kim is Assistant Professor of Management Information Systems at the School of Management at the State University of New York at Binghamton. He holds a Ph.D. in MIS from the State University of New York at Buffalo. He has 10 year industry experience. His research interests are in knowledge management, technological innovation, IS success, e-business, and information technology valuation. He has published papers in outlets such as MIS Quarterly, Communications of the ACM, Decision Support Systems, International Journal of Information Management, JITTA, and Knowledge and Process Management. He also has published book chapters on IS Success and e-learning.     

“Working out for likes”: An empirical study on social influence in exercise gamification

Today, people use a variety of social and gameful (mobile) applications in order to motivate themselves and others to maintain difficult habits such as exercise, sustainable consumption and healthy eating. However, we have yet lacked understanding of how social influence affects willingness to maintain these difficult habits with the help of gamification services. In order to investigate this phenomenon, we measured how social influence predicts attitudes, use and further exercise in the context of gamification of exercise. Our results show that people indeed do “work out for likes”, or in other words, social influence, positive recognition and reciprocity have a positive impact on how much people are willing to exercise as well as their attitudes and willingness to use gamification services. Moreover, we found that the more friends a user has in the service, the larger the effects are. Furthermore, the findings of the empirical study further provide new understanding on the phenomenon of social influence in technology adoption/use continuance in general by showing, in addition to subjective norms, how getting recognized, receiving reciprocal benefits and network effects contribute to use continuance.     

Can consumers be persuaded on brand microblogs? An empirical study

Building upon the persuasion theory in the social psychology literature, this study investigates how companies can use microblogging services to influence consumers’ participation and brand loyalty. We develop and empirically test our research model using an online survey in China. Our findings show that persuasion factors, including information quality, perceived similarity, and source credibility, increase community commitment. Perceived similarity and source credibility exhibit bias effects on information quality. Community commitment affects participation and brand loyalty, which is also influenced by participation. We expect that this research can contribute to the existing literature and provide marketers with important practical suggestions.     

Team participation and online gamer loyalty

Online games have emerged as popular computer applications and gamer loyalty is vital to game providers, since online gamers frequently switch between games. Online gamers often participate in teams also. This study investigates whether and how team participation improves loyalty. We utilized a cross-sectional design and an online survey, with 546 valid responses from online game subjects. Confirmatory factor analysis was applied to assess measurement reliability and validity directly, and structural equation modeling was utilized to test our hypotheses. The results indicate that participation in teams motivates online gamers to adhere to team norms and satisfies their social needs, also enhancing their loyalty. The contribution of this research is the introduction of social norms to explain online gamer loyalty.     

Social interaction and continuance intention in online auctions: A social capital perspective

This study explores how interaction within an online auction community affects online auction actor intention to continue trading with others. Adopting a social perspective drawing on social capital theory and IS literature, this study investigates how interactions among actors contribute to the creation and advancement of social capital. The analytical results demonstrate that the influence of user interaction on continuance intention in online auctions is mediated by the creation of various dimensions of social capital at the community level. Finally, the implications of the study findings are discussed.     

Should I Share That? Prompting Social Norms That Influence Privacy Behaviors on a Social Networking Site

This study examines how explicit and implicit cues to social norms affect disclosure and privacy decisions in a Social Network Site (SNS) context. Study 1 revealed that participants' disclosure behavior adhered to explicit cues indicating disclosure frequency norms, while implicit social norm cues (i.e., surveillance primes) acted to increase overall disclosure frequency and affect disclosure accuracy when explicit cues discourage disclosure. Study 2 explored how these cues affected privacy‐setting decisions and found that explicit cues indicating others' privacy settings could increase how strictly participants set their privacy settings, but the implicit cues had no effect. These results suggest that explicit cues about SNS norms can trigger bandwagon heuristic processing, and that, under limited circumstances, surveillance primes can affect self‐disclosure.     

An e-patient’s End-user community (EUCY): The value added of social network applications

Decreasing revenues and increasing expenses has led many healthcare organizations to adopt newer technological applications in order to address the informational needs of their patients. One such adoption technique is to develop a more robust e-patient environment. Health care organizations may increase their effectiveness in meeting the needs of a growing e-patient population through the implementation of high-quality social networking applications such as Twitter. These applications may help to support and maintain a valuable and informed community. A literature review identifies three characteristics that have an impact on information exchange inherent to social networks: number of members, contact frequency, and type of knowledge. Data from a case study of a juvenile diabetic using Twitter helps to demonstrate these aforementioned characteristics. A framework is developed that may be used by health care organizations to better align social network objectives with expectations of an End user community (EUCY). Managerial implications of this study are discussed that can help information technology professionals as well as health administrators when implementing social networks.     

Framing norms in online communities

One problem many organizations deal with is how to effectively govern their online communities. Unlike employees, online community members often respond poorly to formal control mechanisms. This study develops theory on how moderators can build norms in online communities using frame analysis theory from the social movements literature. Through a case analysis of two communities focused on discussing recreational drugs, our findings demonstrate that norm formation is influenced by two phenomena: (1) norm acceptance, and (2) norm transience. Norm acceptance requires that moderators be consistent in their expression of norms. To a lesser extent, moderators must be credible in their expression of norms. If these things occur, the community will accept the norms. Norm transience, on the other hand, occurs when moderators are not sensitive to the community identity. If accepted norms are not aligned with community identity, they will be dropped by the community within one or two years.     

Learning Virtual Community Loyalty Behavior From a Perspective of Social Cognitive Theory

Drawing upon social cognitive theory (SCT), this research postulates several personal and environmental factors as key drivers of virtual community loyalty behavior in online settings. An empirical testing of this model, by investigating undergraduate students' participation in communities of online games, reveals the applicability of SCT in virtual communities. The study's test results show that the influences of both affective commitment and social norms on community loyalty behavior are significant, whereas the influences of both exchange ideology and social support on community loyalty behavior are insignificant. This research contributes to the online community literature by assessing critical antecedent factors to the unexplored area of community loyalty behavior, by validating idiosyncratic drivers of community loyalty behavior and by performing an operationalization of affective commitment and social norms in a virtual world. Last, managerial implications and limitations of this research are provided.     

Brand followers’ retweeting behavior on Twitter: How brand relationships influence brand electronic word-of-mouth

Twitter, the popular microblogging site, has received increasing attention as a unique communication tool that facilitates electronic word-of-mouth (eWOM). To gain greater insight into this potential, this study investigates how consumers’ relationships with brands influence their engagement in retweeting brand messages on Twitter. Data from a survey of 315 Korean consumers who currently follow brands on Twitter show that those who retweet brand messages outscore those who do not on brand identification, brand trust, community commitment, community membership intention, Twitter usage frequency, and total number of postings.     

Why would online gamers share their innovation-conducive knowledge in the online game user community? Integrating individual motivations and social capital perspectives

The user community has been an important external source of a firm’s product or service innovation. Users’ innovation-conducive knowledge sharing enables the community to work as a vital source of innovation. But, traditional economic theories of innovation seem to provide few explanations about why such knowledge sharing takes place for free in the user community. Therefore, this study investigates what drives community users to freely share their innovation-conducive knowledge, using the theory of planned behavior. Based on an empirical analysis of the data from 1244 members of a South Korean online game user community, it reveals that intrinsic motivation, shared goals, and social trust are salient factors in promoting users’ innovation-conducive knowledge sharing. Extrinsic motivation and social tie, however, were found to affect such sharing adversely, contingent upon whether a user is an innovator or a non-innovator. The study illustrates how social capital, in addition to individual motivations, forms and influences users’ innovation-conducive knowledge sharing in the online gaming context.     

Identifying manufacturing operational conditions by physics-based feature extraction and ensemble clustering

Manufacturing processes usually exhibit mixed operational conditions (OCs) due to changes in process/tool/equipment health status. Undesired OCs are direct causes of out-of-control production and thus need to be identified. Data-driven OC identification has been widely used for recognizing undesired OCs, yet most methods of this kind require labels indicating the OCs in model training. In industrial applications, such labels are rarely available due to delay, incompleteness or physical constraints in data collection. A typical case is the thermal images acquired by in-process infrared camera and pyrometer, which contain rich information about process health status but are unlabeled. To facilitate data-driven OC identification with unlabeled thermal images, this study proposes a feature extraction-clustering framework that characterizes the heat-affected zone by its temperature profile and performs ensemble clustering on the extracted features to label the data. Domain knowledge from plant manufacturing is incorporated in the framework to map cluster labels to OCs. Both offline OC recovery and online OC identification are studied. Thermal images from hot stamping in automotive manufacturing are used to demonstrate and validate the proposed method. The feasibility, effectiveness and generality are well justified by the case study results.     

Examining WeChat users’ motivations,trust, attitudes,and positive word-of-mouth: Evidence from China

WeChat is a mobile instant text and voice messaging communication service and has become an important social media platform in China. The objectives of this article are to examine the effects of psychological motivations (entertainment, sociality, and information) and trust on WeChat users’ attitudes and to assess the influence of users’ attitudes and their trust on positive word-of-mouth. This study represents one of the few that empirically investigates WeChat users’ motives, attitudes, trust, and their associated behavior. The research model was tested using data randomly collected from the database of Sojump. The numbers of valid observations were 264. Structure equation modeling was employed to verify and validate the research model. The outcomes confirm the path effects showing that entertainment, sociality, information, and trust positively influence WeChat users’ attitudes and users’ trust and their attitudes significantly affect positive WOM. The research results provide insight into how WeChat can motivate users and build their trust to improve their attitudes which in turn will increase WeChat users’ willingness in making positive comments on products and services.     

Delineating the dimensions of social support on social networking sites and their effects: A comparative model

Social networking sites (SNSs) allow users to connect with each other by overcoming geographical and temporal boundaries and thus empower people to search for social support from online. Social support has been considered a key social value that online users can obtain from SNSs. However, few studies have systematically investigated social support in such a context. Motivated to address this gap, we have developed an advanced and theoretical framework to delineate social support on SNSs by clearly revealing the dimensions of online social support on SNSs and examining their effects on users' commitment and SNS continuance. Further, we introduce gender as a key moderator and explain in theory how differently men and women perceive the importance of the dimensions in evaluating online social support over SNSs. Our research results indicate that the identified three dimensions (informational support, emotional support, and network management) are important components of the online social support on SNSs, which is positively associated with commitment and continuance. In addition, the weight of each dimension in the evaluation of online social support varies by gender. This study is among the very first to explore online social support in the context of SNS and its effects, and has rich theoretical and practical implications.     

Looking for the perfect tweet. The use of data mining techniques to find influencers on twitter

The purpose of this study is to investigate influencers on Twitter to discover the characteristics of their tweets through PIAR, a unique data mining research tool developed by the University of Salamanca that combines graph theory and social influence theory. An analysis of 3853 users posting about two automotive Japanese car firms, Toyota and Nissan, reveals the characteristics influencers have on this social network. The findings suggest that influencers use more hashtags and mentions on average when they tweet, and their word count is fewer than those with less power on this virtual community. Surprisingly, they tend to include less embedded links on their posts. Additionally, influencers have on average a large number of people they follow and they clearly express their opinions and feelings (either positive or negative) when tweeting. The results broaden the understanding of how influencers write and behave on social networks when they communicate with their users' community. Further, it provides insights for practitioners and marketers on how to discover influencers talking about their brands by observing tweets' content.     

Testing a model of sense of virtual community

A distinguishing feature of virtual communities is their sense of community, i.e., their participants’ feelings of membership, identity, influence, and attachment with each other. This study tests a model in which members’ perceptions of the group’s norms mediate the relationships between supporting each other and identifying each other with the members’ sense of virtual community. Two studies were conducted providing partial support for the model. The results show that the perception of norms mediate the relationship between SOVC and (a) observing and publicly exchanging support, (b) perceiving that others know one’s identity, and (c) using technical features to learn and create identity. Theoretical and practical implications are discussed.     

Teenagers in social virtual worlds: Continuous use and purchasing behavior in Habbo Hotel

Social virtual worlds (SVWs) have become important environments for social interaction. At the same time, the supply and demand of virtual goods and services is rapidly increasing. For SVWs to be economically sustainable, retaining existing users and turning them into consumers are paramount challenges. This requires an understanding of the underlying reasons why users continuously engage in SVWs and purchase virtual items. This study builds upon Technology Acceptance Model, motivational model and theory of network externalities to examine continuous usage and purchase intention and it empirically tests the model with data collected from 2481 Habbo users. The results reveal a strong relationship between continuous usage and purchasing. Further, the results demonstrate the importance of the presence of other users in predicting the purchase behavior in the SVW. Continuous SVW usage in turn is predicted directly by perceived enjoyment and usefulness while the effect of attitude is marginal. Finally, perceived network externalities exert a significant influence of perceived enjoyment and usefulness of the SVW but do not have a direct effect on the continuous usage.