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Doxing, a form of adversarial online behavior, is the aggregation and release of an individual's personal information with malicious intent. It is increasingly used to intimidate, punish, or silence individuals. Such weaponization of personal information can result in extreme and intertwined cyber harassment and physical threats, significantly affecting doxees' participation 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 from 14 individuals who have experienced doxing, this study examines the consequences of doxing from the doxee's point of view. Employing the lens of approach and avoidance coping, we explore how doxees respond to doxing threats and adapt their behavior. Our research provides novel insight and themes related to doxing. Based on our analysis, we offer an agenda for information systems (IS) research and practice, paving the way for exploring doxing and potential remedies. [ABSTRACT FROM AUTHOR]

The Industrial-Metaverse will create interactions between the physical and virtual worlds to extend operations in the physical industry. This particularity and the demand for increasing immersion in the Metaverse require using XR technologies called User-Metaverse interfaces (UMI). How such a UMI must be designed for the industrial-Metaverse is unknown. This study adopts a design science approach to design a UMI based on social-cognitive theory (SCT). According to SCT, creating user-generated Metaverse content is crucial to the UMI design. It empowers users to generate content through their efforts, leading to higher self-efficacy and user engagement. We formulate two theoretically based design principles and instantiate a software artifact, which we evaluate in a laboratory experiment with 57 participants. Our study shows the importance of belief in success in the design of future UMI. Furthermore, our design principles show significant positive outcome expectations of users in their interaction with the software artifact. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Many information technology (IT) projects are still failing, even after attempting to structure work using agile practices. Using a quantitative analysis of data drawn from 74 IT workers, we investigate the direct and indirect effect of agile practices on team members' intrinsic motivation, an important driver of IT worker performance. We investigate how agile practices directly impact self-determination and indirectly shape intrinsic motivation by using structural equation modelling. Our results indicate that agile practices increase professional efficacy and perceived control, while they diminish psychological ownership. These are then positively related to team members' intrinsic motivation. We extend earlier research on agile information systems development by suggesting that self-determination serves as an intermediary between agile practices and intrinsic motivation. For practitioners, our study expounds on why and how agile practices can be used to strengthen the fulfilment of the employees' self-determination needs. [ABSTRACT FROM AUTHOR]

The proliferation of personal data on social media affords hiring managers great opportunities to gather various information about job applicants, resulting in the popularization of social media assessments. Hiring managers inevitably come across nondiagnostic information that is of little diagnostic value for their evaluation of job applicants during the process. In this study, we examine how nondiagnostic information job applicants' social media impacts hiring managers' assessments of them. Drawing upon dilution effects literature and stereotypical fit theory, we hypothesize that viewing nondiagnostic information would dilute stereotype-based evaluation of job applicants, and such dilution effects would be more pronounced if nondiagnostic information is pseudorelevant and presented on professional social media rather than personal. This study would contribute to the IS and management literature by suggesting the role of nondiagnostic information in social media assessments. [ABSTRACT FROM AUTHOR]

IT projects frequently add and subtract team members to take advantage of diverse knowledge stocks in solving complex problems. In this paper, we examine how such "fluid" changes in team membership impact the performance of IT projects. In doing so, we offer a conceptual definition of team fluidity and propose a theoretical model of fluid membership's impact on IT project performance. We argue the effects of fluidity depend on the project setting, such as project type and familiarity of members, and characteristics of the fluidity event, that is centrality of members involved and timing. We propose that fluidity likely affects IT work through its impact on team cognition. Going beyond the common assumption that teams are stable entities with clearly defined membership, our propositions bring research on IT project teams as well as on teams in general closer to reality. By shedding light on how fluid team membership relates to project performance, we additionally contribute to the body of knowledge on the design and management of IT project teams to achieve high performance. [ABSTRACT FROM AUTHOR]

To maintain security, organizations use increasingly sophisticated methods to monitor employees, such as checking emails, tracking employee's website connections, collecting keystrokes, and surveilling social media activity. While electronic monitoring and surveillance (EM/S) practices represent an attempt to secure the firm's data and more, they also may have an unintended consequence of creating strain among employees. In this study, we examine EM/S practices, the characteristics of those practices which cause strain and the negative, deviant and non-compliant behaviors the strain evoke in the EM/S subjected employees. We draw from the techno-stress and EM/S literature to build a research model that describes the relationship between EM/S, strain, and employees' EM/S related deviant and non-compliant outcomes. The research concludes with the discussion of our plan for testing the research model and its potential implications for research. [ABSTRACT FROM AUTHOR]