Practice shows that many users stop disclosing personal health information (PHI) in mobile health applications due to privacy concerns about potential misuse, thereby foregoing potential health benefits. We draw on privacy calculus theory to explain the reasons for this deliberate behavioral shift, which we label discontinuous disclosure. Privacy calculus theory states that users weigh the benefits of disclosure against the associated costs. We suggest that discontinuous disclosure arises from a discrepancy in users’ perceptions regarding these benefits and costs. Initially, they expect benefits from their PHI disclosure (e.g., health benefits) but subsequently do not experience these benefits or encounter unexpected costs (e.g., privacy concerns), which eventually lead them to discontinue disclosing. To account for such changing perceptions over time, we suggest that a combination of initial expectations and subsequent experiences regarding disclosure benefits and costs leads to discontinuous disclosure. We conducted a two-step fuzzy-set qualitative comparative analysis on survey data from 322 mobile health application users and reveal four configurations that explain discontinuous disclosure. We contribute to privacy research by introducing discontinuous disclosure as a novel disclosure behavior characterized by the discrepancy between expectations and experiences. We also extend privacy calculus theory by shifting from a static, one-time tradeoff to a dynamic view where (1) initial expectations form a baseline for assessing subsequent experiences and (2) experienced and expected benefits and costs work together to explain disclosure behavior. Additionally, we contribute to IS research on mobile health applications by explaining users’ disclosure behavior in this context.

Social media has become an integral part of our society.So did participation in social media communities.Click-speech, the simple expression of opinions via a click in the form of likes and shares, emerged as a dominant feature of various social media platforms.In this research, we investigate how social media users use click-speech within social media communities through the lens of community identity and how it shapes click-speech behavior.Using a scenario-based study, we show that community identity strongly influences click-speech to the point where content is liked and shared even when the community member disagrees with the post or content.We contextualize the construct of fear of isolation from the spiral of silence theory within identity theory.In this context, the fear of being isolated from the community is salient, and click-speech evolves from a function of endorsing content to a socially driven behavior of fitting in.

Work–home conflict (WHC) explains how IT use blurs the boundaries between work and private roles. We extend that knowledge by highlighting the importance of work–home embeddedness (WHE) and its impact on WHC. Drawing on boundary theory, we hypothesize that IT-induced work–home boundary reduction (IT-WHBR) exacerbates WHC, influencing job outcomes. Utilizing embeddedness theory and data from 862 individuals, we categorize three distinct WHE groups. Our findings clarify how IT-WHBR shapes WHC and how diverse WHE groups moderate the relationship between IT-WHBR, WHC, and job outcomes. This paper significantly contributes to existing literature by revealing dynamics within work-home interactions.

Bitcoin is a well-established blockchain-based cryptocurrency that has attracted a great deal of attention from media and regulators alike. While millions of individuals invest in bitcoin, their motivations for doing so are less clear than with traditional investment decisions. We argue that the technical nature of bitcoin investments gives it unique characteristics and, consequently, that we lack a thorough understanding of how this affects the motivations behind bitcoin investment. We use a mixed method approach consisting of qualitative (n = 73) and quantitative (n = 150) studies and fuzzy-set qualitative comparative analysis (fsQCA) to identify seven bitcoin-specific motivations (profit expectancy, ease of bitcoin acquisition, support of bitcoin ideology, investment skills, risk affinity, anticipated and experienced inaction regret) and how configurations of them explain bitcoin investment. The findings reveal, among others, that some individuals invest in bitcoin because they support the bitcoin ideology. Contrary to the traditional investment literature, profit expectancy is not a necessary condition to the extent that there is one empirical configuration of motivations that explains that individuals also invest in bitcoin even if they do not expect profits. The results disclose non-trivial investment motivation configurations and lay the groundwork for future studies of the role of cryptocurrencies in society.

Even though IS use has numerous benefits for users and organisations, such as improved user performance and greater productivity, an increasing number of users experience technostress. Since technostress can result in decreased user well-being, it is important to understand what leads users to perceive it. Recent technostress research points to the relationship between personality traits and the perception of technostress as a research gap. Given that personality traits are structured hierarchically, we study how and which levels of user personality influence the perception of technostress. In developing our research model, we select personality traits from the three hierarchical levels of personality: neuroticism, personal innovativeness in IT (PIIT), and IT mindfulness. The results of 2 two-wave studies analysing data collected in an organisational setting (sample 1) and through mTurk (sample 2) reveal that all three personality traits influence the perception of technostress, with IT mindfulness having the strongest impact. This study contributes by revealing that user personality and, primarily, IT mindfulness influence the perception of technostress. Additionally, our findings reveal an inverted u-curved influence of techno-stressors on user performance, deepening our understanding of how the perception of technostress influences user reactions.

In this paper, we focus on a critical aspect of work in organizations: using information in work tasks which is provided by information systems (IS) such as enterprise content management (ECM) systems. Our study based on the IS success model, 34 interviews, and an empirical study of 247 ECM system users at a financial service provider indicates that it is appropriate to differentiate between contextual and representational information quality as two information quality dimensions. Furthermore, we reveal that in addition to system quality, the two information quality dimensions are important in determining end-user satisfaction, which in turn influences the manifestation of workarounds. Our study also finds that employees using workarounds to avoid an ECM system implemented several years is negatively related to individual net benefits of the ECM system. Hence, we conclude that when investigating large-scale IS such as ECM systems, it is important to differentiate among information quality dimensions to more deeply understand end-user satisfaction and the resulting manifestation of workarounds. Moreover, this research guides organizations in implementing the most appropriate countermeasures based on the importance of either contextual or representational information quality.

When implementing new information systems, organizations often face resistance behavior from employees who avoid or underutilize the system. We analyze the extent to which such user resistance behavior is explained by users’ perceptions of the technology compared with their perceptions of work routines. We developed a research model based on work system theory and evaluated it using a study (N=106) of a human resources information system implementation in one organization. The results show that work routines are an object of resistance during IS implementations. We identify perceived usefulness and perceived ease of executing work routines as perceptions of work routines during an IS implementation that have a strong influence on user resistance behavior. In addition, our results show that the perceived ease of executing the work routines mediates the impact of perceived ease of use on user resistance behavior. In practice, our findings imply that interventions during IT implementations should focus on both the new technology and changing work routines.

As the number of messages and social relationships embedded in social networking sites (SNS) increases, the amount of social information demanding a reaction from individuals increases as well. We observe that, as a consequence, SNS users feel they are giving too much social support to other SNS users. Drawing on social support theory (SST), we call this negative association with SNS usage ‘social overload’ and develop a latent variable to measure it. We then identify the theoretical antecedents and consequences of social overload and evaluate the social overload model empirically using interviews with 12 and a survey of 571 Facebook users. The results show that extent of usage, number of friends, subjective social support norms, and type of relationship (online-only vs offline friends) are factors that directly contribute to social overload while age has only an indirect effect. The psychological and behavioral consequences of social overload include feelings of SNS exhaustion by users, low levels of user satisfaction, and a high intention to reduce or even stop using SNS. The resulting theoretical implications for SST and SNS acceptance research are discussed and practical implications for organizations, SNS providers, and SNS users are drawn.