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Social media harassment, a cyberbullying behavior, poses a serious threat to users and platform owners of social media. In this paper, we contextualize the bystander intervention framework and reporting literature to social media in order to understand why bystanders report social media harassment. Our contextualized intervention framework focuses on three sociotechnical aspects—the online social environment, characteristics of the technology platform, and their interplay—that explain bystander reporting on social media platforms. We tested the model using data gathered from active Facebook users. Our findings direct practitioners’ attention to the role of the platform in encouraging bystanders to help stop social media harassment. For policy makers, our findings direct attention to supporting programs that encourage social media users to feel responsible for reporting harassment and making transparent the outcomes of reporting social media harassment using anonymous reporting tools. For platform owners, our findings direct attention to investing in tools that enable anonymous reporting, to fostering a climate that encourages reporting, and to ensuring that all users understand that reporting social media harassment results in swift, effective responses from platform owners. Taken together, we believe our research offer insight into how to build safer and secure social media platforms.

Bystanders Join in Cyberbullying on Social Networking Sites: The Deindividuation and Moral Disengagement PerspectivesCyberbullying on social networking sites escalates when bystanders join in the bullying. Bystanders’ joining-in behaviors reinforce the abuse, expose victims to a larger audience, and encourage further abuse by signaling their approval of the aggressive behavior. This study developed an integrative model that explains bystanders’ joining-in cyberbullying behaviors on SNSs to offer actionable insights into reducing such harmful behaviors. We tested the model using 1,179 responses using a scenario survey study. Our findings suggest that IT artifacts (including digital profile, search and privacy, relational ties, and network transparency) activated two key mechanisms that lead to cyberbullying joining-in behaviors: (i) the deindividuation experiences that attenuate self-identity and put salience on group/social identity, and (ii) the moral disengagement practices that permit the exercise of cognitive maneuvers to justify group-interested choices that do not align with social standard. The findings explain why people who do not know each other gang up to bully a target on social media. Platform owners who wish to discourage bystanders from joining in undesirable activities may consider regulating how users could share and access digital resources in a social network and should acknowledge the influence of social identity in igniting, driving, and prolonging harmful online group behaviors.Cyberbullying on social networking sites (SNSs) escalates when bystanders join in the bullying. Although researchers have recognized the harmful consequences of joining in cyberbullying behaviors, little is known about the role of information technology (IT) and its underlying mechanisms in fueling such negative group behavior on SNSs. To address this research gap, we develop and test an integrative model that explains bystanders’ joining-in cyberbullying behaviors on SNSs. Based on the theoretical premises of the social identity model of deindividuation effects (the SIDE model), we derive two deindividuation experiences enabled by SNSs, namely experienced anonymity and experienced social identity. We further use the social network research framework to gain insights into how IT features (i.e., digital profile, search and privacy, relational ties, and network transparency) enable these two deindividuation experiences. Considering the socially undesirable nature of joining-in behaviors, we integrate the SIDE model with moral disengagement theory to explain how deindividuation experiences allow bystanders to bypass their psychological discomfort when engaging in such behaviors through the practice of moral disengagement mechanisms. Our research model is tested using a scenario survey, with two samples recruited from Amazon Mechanical Turk and Facebook. Our results support the influences of IT-enabled deindividuation experiences on bystanders joining in cyberbullying and demonstrate the mediating effects of moral disengagement mechanisms in bridging the effects of deindividuation experiences on joining-in behaviors. For researchers, the integrative view offers a conceptual bridge connecting IT features, deindividuation, moral disengagement, and negative online group behaviors on SNSs. For practitioners, our findings provide platform owners and governmental agencies with directions on how to mitigate cyberbullying on SNSs and other forms of deviant and undesirable online group behaviors.

PurposeThis paper reports the panel discussion on the topic of artificial intelligence (AI) and robots in our lives. This discussion was held at the Digitization of the Individual (DOTI) workshop at the International Conference on Information Systems in 2019. Three scholars (in alphabetical order: Ting-Peng Liang, Lionel Robert and Suprateek Sarker) who have done AI- and robot-related research (to varying degrees) were invited to participate in the panel discussion. The panel was moderated by Manuel Trenz.Design/methodology/approachThis paper introduces the topic, chronicles the responses of the three panelists to the questions the workshop chairs posed and summarizes their responses, such that readers can have an overview of research on AI and robots in individuals' lives and insights about future research directions.FindingsThe panelists discussed four questions with regard to their research experiences on AI- and robot-related topics. They expressed their viewpoints on the underlying nature, potential and effects of AI in work and personal life domains. They also commented on the ethical dilemmas for research and practice and provided their outlook for future research in these emerging fields.Originality/valueThis paper aggregates the panelists' viewpoints, as expressed at the DOTI workshop. Crucial ethical and theoretical issues related to AI and robots in both work and personal life domains are addressed. Promising research directions to these cutting-edge research fields are also proposed.

PurposeOnline disinhibition is one of the key factors leading to the occurrence of cyberaggression, cyberbullying and various forms of deviant behaviors in the online environment. To understand the composition of online disinhibition, this study aims to conceptualize online disinhibition and develop a measurement instrument for online disinhibition.Design/methodology/approachWe followed a rigorous procedure to develop and validate the multidimensional instrument of online disinhibition in three phases: item generation, measurement development and instrument testing.FindingsWe developed a 23-item online disinhibition scale and identified six key dimensions: dissociative anonymity, invisibility, asynchronicity, solipsistic introjections, dissociative imagination and minimization of authority.Practical implicationsThe online disinhibition instrument is an accessible and easily administered measure that can be used as a checklist for systems designers and administrators to evaluate the level of online disinhibition among users. It offers systems design information on how to prevent and combat online deviant behaviors on platforms.Originality/valueThis work provides a rich conceptualization of an online disinhibition instrument that can serve as a springboard for future work to understand online deviant behaviors. The newly developed measurement instrument of online disinhibition also adds to the repository of rigorous research scales in this area.

The current COVID-19 crisis has seen governments worldwide mobilising to develop and implement contact-tracing apps as an integral part of their lockdown exit strategies. The challenge facing policy makers is that tracing can only be effective if the vast majority of the population uses the one app developed; its specifications must therefore be carefully considered. We theorise on tracing apps and mass acceptance and conduct a full-factorial experiment to investigate how app installation intention is influenced by different app specifications based on three benefit appeals, two privacy designs, and two convenience designs. By applying quantile regression, we not only estimate the general effect of these app specifications but also uncover how their influence differs among citizens with different propensities for acceptance (i.e. critics, undecided, advocates)—a crucial insight for succeeding with mass acceptance. This study contributes to research in three ways: we theorise how mass acceptance differs from established app acceptance, we provide a fine-grained approach to investigating the app specifications salient for mass acceptance, and we reveal contextualised insights specific to tracing apps with multi-layered benefit structures. Our findings can guide policy makers by providing specification recommendations for facilitating mass acceptance of tracing apps during pandemics or other societal crises

Drawing from status quo bias theory and coping theory, this study examines how the inertial use of incumbent web payment (WP) services influences users’ intention to use new mobile payment (MP) services. By conducting an online survey (n = 491), this study reveals that inertia demonstrates triple effects on intention to use MP services: direct, bias, and moderating. The direct effect suggests that inertia directly decreases intention to use MP. The bias effect means that inertia leads to biased assessment of perceived value and perceived threat, thereby decreasing intention to use MP. The moderating effect denotes that inertia strengths the relationship between perceived controllability and intention to use MP. We expect that these findings can provide noteworthy insights for the intervention and prevention of inertia in the web-mobile payment transition context.

The desk rejection of submitted articles can be a hugely frustrating and demotivating process from the perspective of the researcher, but equally, a time-consuming and vital step in the process for the Editor, tasked with selecting appropriate articles that meet the required criteria for further review and scrutiny. The feedback from journal Editors within this editorial, highlights the significant gaps in understanding from many academics of the journal assessment process and acceptance criteria for progression to the review stage. This editorial offers a valuable “lived-in” perspective on the desk rejection process through the lens of the Editor, via the differing views of nine leading journal Editors. Each Editor articulates their own perspectives on the many reasons for desk rejection, offering key insight to researchers on how to align their submissions to the specific journal requirements and required quality criteria, whilst demonstrating relevance and contribution to theory and practice. This editorial develops a succinct summary of the key findings from the differing Editor perspectives, offering a timely contribution of significant value and benefit to academics and industry researchers alike.

Social networking sites (SNSs) are central to social interaction and information sharing in the digital age. However, consuming social information on SNSs invites social upward comparisons with highly socially desirable profile representations, which easily elicits envy in users and leads to unfavorable behaviors on SNSs. This in turn can erode the subjective well-being of users and the sustainability of the SNS platform. Therefore, this paper seeks to develop a better theoretical understanding of how users respond to envy on SNSs. We review literature on envy in offline interactions to derive three behavioral strategies to reduce envy, which we then transfer to the SNS context (self-enhancement, gossiping, and discontinuous intention). Further, we propose a research model and examine how culture, specifically individualism-collectivism, affects the relationship between envy on an SNS and the three strategies. We empirically test the variance-based structural equation model through survey data collected of Facebook users from Germany and Hong Kong. Our findings provide first insights into the link between envy on SNSs, related behavioral strategies and the moderating role of individualism for self-enhancement.

Cyberbullying on social networking sites is an emerging societal issue that has drawn significant scholarly attention. The purpose of this study is to consolidate the existing knowledge through a literature review and analysis. We first discuss the nature, research patterns, and theoretical foundations. We then develop an integrative framework based on social cognitive theory to synthesize what is known and identify what remains to be learned, with a focus on the triadic reciprocal relationships between perpetrators, victims, and bystanders. We discuss the key findings and highlight opportunities for future research. We conclude this paper by noting research contributions and limitations.

With the prevalence of social media, a great deal of research has examined consumer engagement in social media brand communities. However, we lack a holistic understanding of the phenomena. Given the importance and relevance of this topic to Information Systems researchers, this study aims to summarise the current state of research on the topic and identify research gaps. Following the descriptive search approach, this study identifies and analyses 134 articles. Our analysis shows that prior studies adopted various research approaches and methods to study consumer engagement in social media brand communities. In addition, researchers adopted varied definitions and studied consumer engagement using the attitudinal, behavioural, and motivational dimensions. Our analysis also shows that Uses and Gratifications Theory and Social Identification Theory were the most referred theories in prior studies. Finally, we conclude our study by proposing an integrative framework and suggesting research opportunities and future research directions.

Cyberdeviance, intentional use of information technology (IT) in the workplace that is contrary to the explicit and implicit norms of the organization and that threatens the well-being of the organization and/or its members, is an important research stream that has gained attention in academia and industry. Prior studies have treated different forms of cyberdeviance as different phenomena, resulting in a lack of a collective underlying conceptualization of cyberdeviance. This work inductively and empirically derives a typology of cyberdeviance with 439 respondents across three phases. Our results suggest that cyberdeviance varies along 3 dimensions: cyberdeviant behaviors that are minor versus serious; cyberdeviant behaviors that target individuals versus organizations; and cyberdeviant behaviors that require low versus high technical skill. We thus provide a comprehensive framework that fosters a logical linkage of various research programs related to cyberdeviance to guide future research investigation. The typology will help managers to distinguish different cyberdeviant behaviors and implement suitable interventions depending on the behavior. Accepted version

Detailing the opportunities and challenges of omnichannel business, this paper serves as an editorial note to the corresponding special issue. We advance a framework that delineates extant literature on omnichannel business into four predominant research streams according to their perspective (i.e., consumer versus retailer) and research orientation (i.e., diagnostic versus prescriptive). For each of the four research streams, we articulate its current state of research and describe how select articles assembled in this special issue enhance the stream.

Envy is an ancient theme of interest and various academic disciplines researched the topic in the last decades. With the advance of technologies and the popularity of social networking sites (SNSs), there is a need to comprehend what is new and unique about envy in the SNS environment. To contribute to an improved understanding of this phenomenon, we investigate academic research on envy in the context of SNSs. Particularly, in this work, we review and clarify the concept of envy in the SNS context and how users respond to envy they experienced in an SNS environment. This allows us to (1) better comprehend the conceptualization and theorization of envy in the SNS context, and to (2) identify particularities of users’ responses to envy. Based on our analysis, we observe that there exists a need to contextualize definition, operationalization and theorization further. Responses to SNS-induced envy mirror findings from the offline context with purchase intentions as an interesting and relevant behavioral response for the SNS context, since most revenues are generated by advertisement on these sites. We provide directions for future investigations on the phenomenon of SNS-induced envy.

Highlights • People engage in self-disclosure on social media to stay connected with others during the pandemic. • We observe a shift in which disclosures serve the public good and which are considered socially inappropriate. • We propose using the self-focus and other-focus perspectives to explain pandemic-related self-disclosure on social media. • We present a research agenda and discuss practical insights., As social distancing and lockdown orders grew more pervasive, individuals increasingly turned to social media for support, entertainment, and connection to others. We posit that global health emergencies - specifically, the COVID-19 pandemic - change how and what individuals self-disclose on social media. We argue that IS research needs to consider how privacy (self-focused) and social (other-focused) calculus have moved some issues outside in (caused by a shift in what is considered socially appropriate) and others inside out (caused by a shift in what information should be shared for the public good). We identify a series of directions for future research that hold potential for furthering our understanding of online self-disclosure and its factors during health emergencies.

This study highlights the role of directed social network and examines its impact on information sharing behavior.The model was test by analyzing data collected with both subjective and objective approaches in a longitudinal setting.This study examines customer information sharing behavior in a new social media context - social commerce sites. Social commerce sites (SCSs), a new model of social media, provide fertile ground for customers to communicate their opinions and exchange product- or service- related information. Given the significant opportunities related to the use of social media data for customers' insight, we explore the factors driving information sharing behavior on SCSs. In this paper, we propose and empirically test a comprehensive theoretical model for customer information sharing behavior through analysis of online survey data as well as network and behavioral usage data of over four months from 1177 customers in a SCS. The research model was empirically validated with the use of both subjective and objective data in a longitudinal setting. Our results show that customer information sharing is influenced by both individual (i.e., reputation and the enjoyment of helping others) and social capital (i.e., out-degrees' post, in-degrees' feedback, customer expertise and reciprocity) factors. This study contributes to the existing literature by highlighting the role of directed social network in customer information sharing behavior on SCSs. We believe that the results of our study offer important insights to the IS research and practice.

Social network sites (SNSs) have drawn extensive attention among scholars and practitioners. In this study, we aim at explaining the continuance of SNSs. Specifically, we propose and empirically test a research model of continuance intention to use SNSs. We also examine the relative impacts of SNS-specific motivation factors and social factors derived from the SNS environment on continuance intention to use SNSs. Building upon expectation disconfirmation theory (EDT), our research model was empirically tested with 204 Facebook users through an online survey. While prior studies focus mostly on the SNS-specific motivations, our results demonstrated that social factors derived from the SNS environment play a dominant role in explaining the continuance intention to use SNSs. In particular, this study suggested that perceived critical mass, social presence, and social norms are influential and major factors that determine continuance intention. We believe that this study provides significant contributions to both researchers and practitioners in the context of SNSs.

Drawing from trust transfer theory, this study investigates cognitive trust and emotional trust transfer from web payment (WP) to mobile payment (MP) services with the emphasis on the effect of web–mobile payment relationship, namely, perceived entitativity. By conducting an online survey (n = 491), our study shows two key findings. First, cognitive trust and emotional trust can be transferred from WP to MP services, which, in turn, formulate intention to use MP services. Second, perceived entitativity not only increases cognitive trust and emotional trust in MP, but also enhances the transfer of cognitive trust and emotional trust from WP to MP services.

Conscious and automatic information processing modes represent two approaches to deal with IS continuance. Existing IS studies mostly viewed them as two independent systems and examined IS continuance through either a cognitive deliberating process or an automatic process. In this study, we attempt to clarify the complex nature of IS continuance by examining various interactions between the two information processes. Particularly, we argued that habit activates the heuristic information processing mode and facilitates consumers’ decision making through interacting with key elements of the rational decision process. We conducted a longitudinal study to empirically test the research model with 385 consumers of an e-commerce website. The results show that the two information processing modes work in parallel to explain consumers’ continuance decision. Satisfaction, perceived enjoyment, and alternative attractiveness have significant direct effects on continuance intention. Furthermore, habit exhibits a significant negative moderating effect on the relationship between alternative attractiveness and continuance intention. We believe that this study provides new insights to both IS research and practice.

Online impulse buying has drawn increasing scholarly attention across disciplines. However, little effort has been made to evaluate the status of research and consolidate the findings in the literature. To address this research gap, we conducted a systematic review of studies of online impulse buying, and used the Stimulus–Organism–Response (SOR) framework to identify and classify the factors that affect online impulse buying. We then built a conceptual framework to explain the interrelationships between the three key elements of online impulse buying. Finally, we discussed the future research directions and implications for research.

Along with the growth of Internet and electronic commerce, online consumer reviews have become an important source of information that assists consumers to make purchase decision. However, theoretical development and empirical testing in this area of research are still limited, which greatly hinder us from understanding the influence of online reviews. Drawing upon the heuristic-systematic model from the literature of dual-process theories, we develop a research model to identify factors that are important to consumers' purchase decision-making. The model is empirically tested with 191 users of an existing online review site. We find that argument quality of online reviews (systematic factor), which is characterized by perceived informativeness and perceived persuasiveness, has a significant effect on consumers' purchase intention. In addition, we find that source credibility and perceived quantity of reviews (heuristic factors) have direct impacts on purchase intention. The two heuristic factors further demonstrate positive influences on argument strength. This result is consistent with the proposition of bias effect in the heuristic-systematic model, which elucidates the interrelationship between heuristic and systematic factors. Based on the findings, we discuss implications for both researchers and practitioners. We develop a heuristic-systematic model to examine the influence of online reviews.Three systematic and heuristic factors are proposed to affect behavioral intention.Argument quality is defined with informativeness and persuasiveness dimensions.Source credibility and perceived quantity of reviews are the two heuristic factors.The two heuristic factors produce significant bias effects on argument quality.

The rise of social media has facilitated consumer social interactions. Many product-focused online social platforms have included design features that can convey more information about product quality as well as the credibility of the members of the social community. Drawing on information signaling theory, we empirically examine how the two social information cues frequently found on online social communities, action-based social information (i.e., peer consumer purchase) and opinion-based social information (i.e., peer consumer review), influence consumer purchase decisions. We also explore the moderating role of consumer characteristics, consumer engagement and consumer expertise. Analyzing panel data (n=39,897) collected from a popular online beauty community, we found that consumer purchase decisions are indeed influenced by the two social information cues and that action-based social information is more influential than opinion-based social information. Furthermore, our results show that both consumer engagement and consumer expertise play an important moderating role in consumer purchase decisions, albeit in opposite direction: Whereas consumer engagement exerts a positive moderating effect, consumer expertise is found to have a negative moderating effect. This study contributes to existing literature by providing an evaluation on the signaling role of online social community features in consumer purchase decisions. The results offer important and interesting insights to IS research and practice.

Drawing on dual-system theory, this study examines the role of desire for online group gaming in online social game addiction. By conducting a longitudinal online survey, we show that attitude, anticipated enjoyment, group norm, and social identity contribute to the development of desire for online group gaming. Such desire facilitates habit and self-regulation deficiency, which, in turn, fosters online social game addiction. This study contributes to the literature by theorizing a nomological network of desire for online group gaming on online social game addiction and by offering implications for managing addictive gaming.

This study theorized and validated a model of knowledge sharing continuance in a special type of online community, the online question answering (Q&A) community, in which knowledge exchange is reflected mainly by asking and answering specific questions. We created a model that integrated knowledge sharing factors and knowledge self-efficacy into the expectation confirmation theory. The hypotheses derived from this model were empirically validated using an online survey conducted among users of a famous online Q&A community in China, “Yahoo! Answers China”. The results suggested that users’ intention to continue sharing knowledge (i.e., answering questions) was directly influenced by users’ ex-post feelings as consisting of two dimensions: satisfaction, and knowledge self-efficacy. Based on the obtained results, we also found that knowledge self-efficacy and confirmation mediated the relationship between benefits and satisfaction.

The notion of electronic word-of-mouth (eWOM) communication has received considerable attention in both business and academic communities. Numerous studies have been conducted to examine the effectiveness of eWOM communication. The scope of published studies on the impact of eWOM communication is large and fragmented and little effort has been made to integrate the findings of prior studies and evaluate the status of the research in this area. In this study, we conducted a systematic review of eWOM research. Building upon our literature analysis, we used the social communication framework to summarize and classify prior eWOM studies. We further identified key factors related to the major elements of the social communication literature and built an integrative framework explaining the impact of eWOM communication on consumer behavior. We believe that the framework will provide an important foundation for future eWOM research work.

As competing technological choices emerge in the marketplace, an inevitable consequence is user switching from one IT product or service to another. However, we know very little of this phenomenon or the key drivers of user switching. We examined the reasons for IT switching by proposing a model that synthesized and extended current theories of IT acceptance and customer satisfaction. We believed that IT switching was driven by user dissatisfaction with an incumbent product or service and the fact that the customer was aware of the availability of a potentially superior product or service. Further, to explain differential switching patterns across an adopter population, we posited personal innovativeness as an individual difference variable that moderated the effect of user dissatisfaction and relative advantage of a new IT on users' switching intention. Our model was empirically validated using a longitudinal survey of web browser switching among student subjects. We hope that our study will generate researchers' interest in an understudied area of research and that the model will serve as a starting point for furthering our understanding of IT switching.

While much of the current literature tends to focus on the direct effect of social influence on consumer online shopping behavior, our study drew heavily on social influence theory and argued for an alternative theory focusing on the moderating role of social influence. In particular, we explored how positive messages in online discussion forums may affect consumers' decisions to shop online. We used a laboratory experiment in which the treatment group was required to read positive messages about online shopping experience in an online discussion forum. Positive social influence was found to reinforce the relationship between beliefs about and attitude toward online shopping, as well as the relationship between attitude and intention to shop. We believe our alternative theory provides new insight into the complex processes through which social influence is brought to bear on consumers' online shopping decisions. Implications of our work are discussed.

The study is one of the very few attempts to investigate antecedents and consequences of user satisfaction with an e-learning portal. Building on prior literature, the research model postulates a positive link between overall satisfaction and intention to continue to use an e-learning portal. Data collected from 504 undergraduate students are examined through the Structural Equation Modeling approach with Partial Least Squares (PLS). Empirical findings demonstrate that our research model provides a relatively high explanatory power. Moreover, all associated hypotheses are found to have statistically significance. The implications of this study are noteworthy for both researchers and practitioners.

Blog has become an increasingly popular form of social networking technology in recent years. Many world famous web sites (e.g., Microsoft, Yahoo!, and Google) are providing blog services on the Internet. Bloggers, therefore, can easily establish and maintain their blogs through such services. However, research on blogs' adoption and diffusion is rare. In this study, we attempt to study bloggers' post-adoption behaviors. We examine bloggers' intention to switch their blog services by building upon studies in the marketing and IS literature. Particularly, the role of gender is explored and an online survey is conducted to test the research model. Findings confirm that bloggers' intention to switch their blog services is strongly associated with three factors: satisfaction, sunk costs, and attractive alternatives. Meanwhile, moderating effects are found in gender, but not in sunk costs. Implications for both researchers and practitioners are provided.

With the advent of Web 2.0, the business world is fast changing its way of communicating and collaborating. In this study, we regarded the use of instant messaging in team collaboration as a social behavior and examined the changing roles of social influence processes in the formation of usage we-intention (i.e. social intention). Building on the belief-desire-intention model and the social influence theory, an integrated model was developed and empirically tested using survey data collected from 482 students. The results demonstrated that desire partially mediates the effects of group norm and social identity on we-intention to use. In addition, the effect of group norm is more significant for users with lower usage experience, whereas the effect of social identity is more significant for users with higher usage experience. We believe this study provides several important implications for both research and practice.

Our research model expanded the Bhattacherjee's IS continuance model by adding a moderating effect (IS habit) to IS continuance intention and IS continued usage, postulating direct links between satisfaction and IS continued usage, as well as between prior behavior and IS continued usage. The model was tested with an Internet-based learning technology in a longitudinal setting. Data collected from 505 students were examined using partial least squares analysis. The results presented strong support for the theoretical links of IS continuance model, and for the new moderating effect. Both satisfaction and prior behavior were found to have significant impact on IS continuance. In addition, our findings confirmed the theoretical argument that the strength of intention to predict continuance was weakened by a high level of IS habit.

Purpose – The purpose of this paper is to examine the factors associated with user satisfaction in the social network sites (SNSs), and to explore the moderating effects of gender on user satisfaction. Design/methodology/approach – A research model was built upon the expectation disconfirmation model (EDM) with a focus on SNSs specific motivations (i.e. relationship maintenance and entertainment). The model was tested empirically with 221 experienced Facebook users using an online survey. Findings – The research model explained 40.5 percent of the variance in user satisfaction. In addition, the results showed that entertainment plays a more important role in determining user satisfaction with SNSs for male users, while relationship maintenance is more important in determining user satisfaction with SNSs for female users. Research limitations/implications – The current study enriched the theoretical understanding of user satisfaction in the context of SNSs. Particularly, perceptions and disconfirmations about the use of SNSs were identified and empirically tested. Furthermore, gender differences in terms of SNSs usage were empirically demonstrated. Originality/value – The present study is one of the first few studies that attempts to explain user satisfaction with SNSs as well as examine the role of gender with a theoretical foundation. It complements the empirical research in the IS literature that addresses new social communication technologies.

This study is one of the few attempts to investigate students' acceptance of an Internet-based learning medium (ILM). By integrating a motivational perspective into the technology acceptance model, our model captured both extrinsic (perceived usefulness and ease of use) and intrinsic (perceived enjoyment) motivators for explaining students' intention to use the new learning medium. Data collected from 544 undergraduate students were examined through the LISREL VIII framework. The results showed that both perceived usefulness and perceived enjoyment significantly and directly impacted their intention to use ILM. Surprisingly, perceive ease of use did not posit a significant impact on student attitude or intention towards ILM usage. Implications of this study are important for both researchers and practitioners.

Empirical research on online consumer theory has been examined under diverse contexts over the years. Although researchers from a variety of business disciplines have made significant progress over the past few years, the scope of these studies is rather broad, the studies appear relatively fragmented and no unifying theoretical framework is found in this area. In view of this, this study attempts to provide an exhaustive review of prior theoretical literature and to provide an integrative model of online consumer behavior. This framework not only provides us with a cohesive view of online consumer behavior, but also serves as a salient guideline for researchers in this area. The paper is concluded with a research agenda for future studies.

The purpose of this study is to examine the asymmetrical effects of negative and positive Web site attribute performance on satisfaction. An online survey of satisfaction with an e-portal was conducted, and a total of 515 usable questionnaires were collected. Psychometric properties of the measures were examined, and a dummy-variable regression model was used to estimate the regression coefficients. Results show that the importance of asymmetrical effect is different for different attributes, where the negative performance on information reliability and usefulness had a more significant impact on satisfaction than their positive performance. On the other hand, the positive performance on information understandability and system navigation had a more significant impact on satisfaction than their negative performance. This difference of asymmetrical effect is an important area calling for future investigation.

Human information behavior (HIB) is a multi-disciplinary field at the intersection of different scientific disciplines, including information systems (IS), psychology, information science, sociology, and neuroscience. It is concerned with explaining and predicting human behaviors towards information. This includes behaviors relating to acquiring, interpreting, using, and sharing information, in addition to behaviors relating to limiting, filtering, and stopping the information intake. Information pathologies are of special relevance to HIB research. They describe misguided and malicious behaviors that cause relevant information not to be produced, absorbed, used, or shared. Examples are information avoidance, information hiding, and the malicious manipulation of information. HIB topics bring together researchers with diverse backgrounds, epistemological stances, and research methods. The unit of observation is the individual, the group, the organization, and the society as a whole. This special issue seeks contributions that explicitly address the cognitive and affective processes that relate to information behaviors and the types of information behaviors evident in the IS literature. Furthermore, it seeks contributions dealing with the information construct itself, in addition to issues relating to information quality, information relevance, and information value. This BISE journal special issue is open to contributions regardless of the scientific methodology chosen. Innovative approaches such as the use of neurophysiology (NeuroIS) are highly appreciated; but the special issue is not restricted to these methods. The special issue welcomes IS research contributions which explicitly deal with HIB aspects related to the development and use of IS. Contributions from research and business practice on the following (and related) topics are invited

Social media are online platforms that facilitate global collaboration and sharing amongst users. New social media applications in e-business and e-commerce appear on a daily basis and result in enormous shocks to the ecosystem of individuals and businesses. This minitrack provides a forum for the exchange of research ideas and best practices related to social media in e-business environments. It also aims to raise awareness in terms of the latest developments in social media, and address the challenges of using social media. This year, eight papers were selected for inclusion in the proceedings. The first paper, "Social Media at Socio Systems Inc.: A Socio-technical Systems Analysis of Strategic Action" by Don Heath, Rahul Singh and Jai Ganesh proposes an analytic framework to explain organizational strategies for directed action in social media. The next paper by Eric T.K. Lim, Dianne Cyr, and Chee-Wee Tan, "Understanding Members' Attachment to Social Networking Sites: An Empirical Investigation of Three Theories", constructs a theoretical model of members' communal attachments within SNSs. The model is then empirically validated via an online survey of 787 active members of SNSs. Drawing from the push-pull-mooring model and uses and gratification theory, Fei Liu and Bo Xiao proposed and empirically tested a theoretical model explaining SNS users' switching behavior in their paper, "Do I Switch? Understanding Users' Intention to Switch between Social Network Sites". The fourth paper by Alexander Richte, David Wagner and Andrea Back, "Leadership 2.0: Engaging and Supporting Leaders in the Transition Towards a Networked Organization", illustrates the concept of Leadership 2.0 through a series of interviews with the persons who are responsible for the implementation of social software at publicly listed, multinational organizations in Germany. The next paper, "Understanding Information Adoption in Online Review Communities: The Role of Herd Factors" by Xiao-Liang Shen, Kem Z.K. Zhang, and Sesia J. Zhao, extends prior research on information adoption by incorporating the perspective of herd behavior to explain the influence of massive online reviews in online communities. The research model was empirically tested with 376 users of a Chinese online review community. "Impact of Online Firm Generated Content (FGC) on Supply Chain Performance: An Exploratory Empirical Analysis", by Ajaya Swain and Qing Cao uses an advanced sentiment analysis approach to examine the impact of FGC effect on supply chain performance. Information sharing and collaboration are identified as two key FGC elements affecting supply chain performance. Based on an experimental investigation of the judgment ability of 478 subjects, Christian Wagner and Ayoung Suh found that collective size and expertise transfer effects are moderated by task difficulty and are strongest for tasks in a medium difficulty range in their paper, "The Wisdom of Crowds: Impact of Collective Size and Expertise Transfer on Collective Performance". The final paper, "Assessing the Effects of Navigation Support and Group Structure on Collaborative Online Consumers' Consensus and Mutual Understanding" by Yanzhen Yue and Zhenhui (Jack) Jiang, explores an emerging phenomenon of collaborative online shopping by investigating the effects of navigation support and group structure on collaborative online consumers' consensus and mutual understanding. We thank the authors for submitting their work to make this another engaging minitrack. We hope you enjoy the papers and their presentation at the conference.

Past research in the area of information systems acceptance has primarily focused on initial adoption under the implicit assumption that IS usage is mainly determined by intention. While plausible in the case of initial IS adoption, this assumption may not be as readily applicable to continued IS usage behavior since it ignores that frequently performed behaviors tend to become habitual and thus automatic over time. This paper is a step forward in defining and incorporating the "habit" construct into IS research. Specifically, the purpose of this study is to explore the role of habit and its antecedents in the context of continued IS usage. Building on previous work in other disciplines, we define habit in the context of IS usage as the extent to which people tend to perform behaviors (use IS) automatically because of learning. Using recent work on the continued usage of IS (IS continuance), we have developed a model suggesting that continued IS usage is not only a consequence of intention, but also of habit. In particular, in our research model, we propose IS habit to moderate the influence of intention such that its importance in determining behavior decreases as the behavior in question takes on a more habitual nature. Integrating past research on habit and IS continuance further, we suggest how antecedents of behavior/behavioral intention as identified by IS continuance research relate to drivers of habitualization. We empirically tested the model in the context of voluntary continued WWW usage. Our results support the argument that habit acts as a moderating variable of the relationship between intentions and IS continuance behavior, which may put a boundary condition on the explanatory power of intentions in the context of continued IS usage. The data also support that satisfaction, frequency of past behavior, and comprehensiveness of usage are key to habit formation and thus relevant in the context of IS continuance behavior. Implications of these findings are discussed and managerial guidelines presented.