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One for all, all for one
(2022)
We propose a conceptual model of acceptance of contact tracing apps based on the privacy calculus perspective. Moving beyond the duality of personal benefits and privacy risks, we theorize that users hold social considerations (i.e., social benefits and risks) that underlie their acceptance decisions. To test our propositions, we chose the context of COVID-19 contact tracing apps and conducted a qualitative pre-study and longitudinal quantitative main study with 589 participants from Germany and Switzerland. Our findings confirm the prominence of individual privacy calculus in explaining intention to use and actual behavior. While privacy risks are a significant determinant of intention to use, social risks (operationalized as fear of mass surveillance) have a notably stronger impact. Our mediation analysis suggests that social risks represent the underlying mechanism behind the observed negative link between individual privacy risks and contact tracing apps' acceptance. Furthermore, we find a substantial intention–behavior gap.
What does homophily do?
(2022)
Understanding the consequences of homophily, which is among the most widely observed social phenomena, is important, with implications for management theory and practice. Therefore, we review management research on the consequences of homophily. As these consequences have been studied at the individual, dyad, team, organizational, and macro levels, we structure our review accordingly. We highlight findings that are consistent and contradictory, as well as those that point to boundary conditions or moderators. In conducting our review, we also derive implications for management research from insights gained by research in other disciplines on this topic. We raise specific issues and opportunities for future research at each level, and conclude with a discussion of broader future research directions, both empirical and conceptual, that apply across levels. We hope that our review will open new vistas in research on this important topic.
This study aims to compare online vs. offline flirting and dating behavior using the example of the location-based real-time dating (LBRTD) app Tinder, a popular dating platform. We focus on persons' self-descriptions like self-esteem, social desirability, state social anxiety, and adjustment behavior on Tinder and the perceived data privacy of the app. Data was gathered using a survey approach with Tinder users reporting their behavior in offline and online settings. The comparison between offline and online behavior was made using Response Surface Analysis. The results suggest that the different conditions of the natural and digital worlds do not influence the individual's behavior and emotional perception. The results are analyzed and discuss gender, age, motivation to use the app, and the user's relationship status.
This article argues that non-ideal theory is distinctive in its use of a certain methodology which is prior to specific topics (such as injustice, oppression, etc.), grounded in the idea of socially situ-ated knowledge, and able to address ideological situatedness. Drawing on standpoint epistemology, we show that one’s social position within given power structures has implications for knowledge acquisition and that being in a vulnerable or marginalised position can be advantageous to knowledge acquisition. Following ideology critique, we argue that both marginalised and powerful social positions are embedded within a given ideology. As ideology is more than a mere set of attitudes or beliefs that social agents endorse or resist, situated agents and theo-rists cannot develop normative criteria that are not themselves situated. Hence, non-ideal theory has to be equipped with methods that are likely to make this situatedness visible. We close by presenting some diverse methods that already do so.
Differenzierungsheft
(2022)
Arbeitswelt 4.0
(2022)