The Paradoxical Effects of Blockchain Technology on Social Networking Practices

Blockchain technology is a promising, yet not well understood, enabler of large-scale societal and economic change. For instance, blockchain makes it possible for users to securely and profitably share content on social media platforms. In this study, w

“On Here, I’m Team Jacob: Exploring Feelings of Belongingness in Virtual Communities

Virtual communities have become important for enthusiasts to meet, share, and express their affection for a wide range of products, ideas, and brands. While virtual communities have been studied previously, the literature is lacking a perspective on virtual communities surrounding products, ideas and brands that users are embarrassed to admit they care about (that is, that they have a negative public affiliation towards), but that nonetheless are a representation of the user’s identity (brand congruity). This study presents a research model positing that, within a virtual community environment, feelings of negative affiliation and brand congruity will influence users’ feelings of belonging to the virtual community, and negative public affiliation will also moderate the relationship between brand congruity and belongingness. Our results indicate significant relationships between negative public affiliation and brand congruity with feelings of belongingness. Our study has implications for the field, as well as for practitioners

Doxing and Doxees: A Qualitative Analysis of Victim Experiences and Responses

Doxing, a form of adversarial online behavior, is the intentional release of an individual’s personal information with malicious intent. It is increasingly used to threaten, punish, or silence individuals who participate in online communities. Such Doxees often experience extreme and intertwined cyberharassment and physical threats, transforming how they participate in both cyber and physical communities. While prior research has examined the underlying motives of the Doxer, the Doxee’s perspective has remained largely unexplored. Drawing on data about 14 individuals who have experienced Doxing, we examine the consequences of Doxing from the Doxee’s point of view. Employing the lens of approach and avoidance coping, we describe how Doxees respond to a Doxing threat and change their behavior. Our research contributes novel insight and themes related to Doxing. Based on our analysis, we offer an agenda for research and practice to pave the way for exploring Doxing and its remedies

Six Inversion Strategies for Avoiding Rejection in Academic Publishing: Lessons from the IS Discipline

The publication process in many academic disciplines, including in Information Systems (IS), can seem arduous and unpredictable, particularly for early career researchers. While the literature offers plentiful guidance on how to pursue a paper acceptance, this paper offers a crisp summary of common mistakes that lead to rejection and how to avoid them. We provide six actionable inversion strategies for avoiding common mistakes that often lead to paper rejection. Namely, when preparing a paper, we recommend you (1) abstain from methodological promiscuity and (2) never overclaim (but try not to underclaim either); When submitting a paper, it is a good idea to (3) steer clear of bootlicking and (3) avoid sloppiness; And, after receiving the reviews, you should (5) forego belligerence, and (6) stop flogging a dead horse. These inversion strategies can help early career researchers better navigate the review process, increasing the chances of their papers maturing, and helping to avoid mistakes that lower the chance of publishing in high quality IS journals

Bounded Rationality, Formal Implementation Processes, and Conflicting Subcultures: A Theoretical Framwork

This paper develops a theoretical framework for studying how the interaction of individual perceptions, an organizations’ subcultures, and formal information systems (IS) design processes influence the fit of an IS to its respective organization. Building on models of individual decision making, such as bounded rationality, it extends several propositions for how informal and formal structures influence the fit of an IS

Understanding the Relationship between Goal-Directed Intentions and Post-Adoptive IT Behaviors: The Moderating Influence of Image Compatibility

Technology adoption and diffusion research has advanced from examining pre-adoption to uncovering salient predictors of individual post-adoptive IT behaviors. Within this new research stream, there is a need to extend understanding of how and why individuals innovate with IT and infuse it in their work life. To that end, this paper suggests that understanding individuals’ motivations for continuing, extending, or adapting their use behaviors is important in order to develop understanding of how technologies become embedded in organizational work processes. Hence, we propose a research model that examines how compatibility between goals and perceptions of likely progress toward those goals influences an individual’s post-adoptive IT use behavior. Assuming the proposed hypotheses are supported, this study will contribute to the literature by shedding light on factors that trigger variations in post-adoptive IT use

I vote left, you vote right: How can we work together?

Political divisiveness continues to make news and influence our lives. In Spain, the drive for Catalonia’s independence has sparked demonstrations from both sides, including police action to close polling places. In Britain, Brexit aroused a debate marked by strong emotion over the future direction of the country. In the U.S., movements such as Black Lives Matter/Blue Lives Matter, standing for the national anthem, and even monologues from late night comedians engender strong emotions. Polling data in the U.S suggest that major political parties are further apart on basic political values than ever before. We suggest that the strength and ubiquitous nature of political convictions will likely spill over to workplace decision-making

Human versus AI? Investigating the Heterogeneous Effects of Live Streaming E-commerce

Live Streaming E-commerce (LSE) refers to a technology-enabled business model that embeds live streaming into e-commerce, where streamers sell products and interact with the viewers in real-time. When stores use human streamers, they benefit from high Synchronicity Interaction (SI), which causes users’ engagement. However, when stores use artificial intelligence (AI) streamers to replace human streamers, it is unclear whether high SI human streamers are more effective than low SI AI streamers at selling products. This study examines drivers of whether AI streamers are more or less effective at selling products than human streamers. We find that human and AI streamers perform differently, and product categories moderate this effect. Our results contribute to the LSE and business value of AI literature and offer insight to platforms and stores seeking to better leverage AI technology and technology designers interested in developing more effective AI streamers

Contextual Factors in Post-adoption: Applying the Model of Proactive Work Behavior to the Study of End-User innovation

Research on post-adoption has proliferated and has offered insight into the antecedents that drive post-adoptive usage. Yet, much of such research has focused exclusively on instrumental belief constructs about the technology itself and related abilities and, thus, has not sufficiently examined the organizational context in which post-adoptive usage takes place. Deepening understanding of perceived contextual factors is important to gain a more holistic understanding of the use-process and to account for the fact that organizational structures play an important role in post-adoption. To address this need, this research-in-progress paper introduces the Model of Proactive Work Behavior to IS research, which enables investigating how, why, and for whom such prominent contextual factors as job autonomy drive pertinent post-adoption behaviors, like innovation. The paper hypothesizes that job autonomy increases individual innovation with IT via certain proactive cognitive-motivational states, and it ends with a brief overview of the proposed methodology and expected contributions