Browsing by Subject "behavioral science"
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Publication11th Consumer Barometer of Renewable Energies(Char for Renewable Energy Management, 2021-11-03)
;Beatrice, Petrovich -
Publication2. Opportunities and challenges of utilizing personality traits for personalization in HCI(De Gruyter Oldenbourg, 2019)
;Völkel, S. T. ;Schödel, R. ;Buschek, D. ;Au, Q. ;Bischl, B. ;Bühner, M.Hussmann, H.This chapter discusses main opportunities and challenges of assessing and utilizing personality traits in personalized interactive systems and services. This unique perspective arises from our long-term collaboration on research projects involving three groups on human-computer interaction (HCI), psychology, and statistics. Currently, personalization in HCI is often based on past user behavior, preferences, and interaction context. We argue that personality traits provide a promising additional source of information for personalization, which goes beyond context- and device-specific behavior and preferences. We first give an overview of the well-established Big Five personality trait model from psychology. We then present previous findings on the influence of personality in HCI associated with the benefits and challenges of personalization. These findings include the preference for interactive systems, filtering of information to increase personal relevance, communication behavior, and the impact on trust and acceptance. Moreover, we present first approaches of personality-based recommender systems. We then identify several opportunities and use cases for personality-aware personalization: (i) personal communication between users, (ii) recommendations upon first use, (iii) persuasive technology, (iv) trust and comfort in autonomous vehicles, and (v) empathic intelligent systems. Furthermore, we highlight main challenges. First, we point out technological challenges of personality computing. To benefit from personality awareness, systems need to automatically assess the user’s personality. To create empathic intelligent agents (e. g., voice assistants), a consistent personality has to be synthesized. Second, personality-aware personalization raises questions about user concerns and views, particularly privacy and data control. Another challenge is acceptance and trust in personality-aware systems due to the sensitivity of the data. Moreover, the importance of an accurate mental model for users’ trust in a system was recently underlined by the right for explanations in the EU’s General Data Protection Regulation. Such considerations seem particularly relevant for systems that assess and utilize personality. Finally, we examine methodological requirements such as the need for large sample sizes and appropriate measurements. We conclude with a summary of opportunities and challenges of personality-aware personalization and discuss future research questions.Type: book section -
PublicationA Biased "Radical" or a False Choice?( 2021-03-16)Type: journal articleJournal: Constructivist FoundationsVolume: 16Issue: 3
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PublicationA CPT-based comparison of retirement products( 2021)
;Chen, AnType: journal articleJournal: SSRN Electronic Journal -
PublicationType: journal articleJournal: Journal of Consumer ResearchVolume: 48Issue: 4DOI: 10.1093/jcr/ucab053
Scopus© Citations 5 -
PublicationA global experience-sampling method study of well-being during times of crisis: The Co-Co project.( 2023)
;Scharbert, J. ;Sakel, S. ;Geukes, K. ;Gosling, S. D. ;Harari, G. ;Kroencke, L. ;Matz, S. ;Schoedel, R. ;Shani, M. ;Talaifar, S. ;Aguilar, N. M. A. ;Amante, D. ;Aquino, S. D. ;Biesanz, J. C. ;Bornamanesh, A.Back, M. D.We present a global experience-sampling method (ESM) study aimed at describing, predicting, and understanding individual differences in well-being during times of crisis such as the COVID-19 pandemic. This international ESM study is a collaborative effort of over 60 interdisciplinary researchers from around the world in the “Coping with Corona” (CoCo) project. The study comprises trait-, state-, and daily-level data of 7490 participants from over 20 countries (total ESM measurements = 207,263; total daily measurements = 73,295) collected between October 2021 and August 2022. We provide a brief overview of the theoretical background and aims of the study, present the applied methods (including a description of the study design, data collection procedures, data cleaning, and final sample), and discuss exemplary research questions to which these data can be applied. We end by inviting collaborations on the CoCo dataset.Type: journal articleJournal: Social and Personality Psychology Compass -
PublicationA moderated mediation model linking perceived organizational support to volunteer outcomes( 2020)
;Traeger, Charlotte ;Alfes, KerstinType: conference paper -
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Scopus© Citations 25 -
PublicationA playful path to more professional equity? Networking across diversity via sport( 2024-08)Raina BrandsLeaders develop via all domains of their lives. Yet, leaders’ sports involvement has been largely overlooked despite its theoretical and practical relevance, particularly for social development. Moreover, the limited research on the downstream social consequences of leaders’ sports involvement reveals different effects for men and women leaders—even opposing effects for the latter. Thus, we integrate social cognitive theory from developmental psychology to make sense of these contradictory findings. We theorize that sports contexts facilitate women’s networking with higher-status (male) leaders through its playfulness (i.e., leisurely, spontaneous, and socially interactive). An archival study of 644 leaders’ Twitter/X posts shows that sports generate more engagement—especially men interacting with women leaders’ sports posts (Study 1). A qualitative study with 58 leaders suggests sports’ playfulness facilitates these interactions as well as networking, results that we also quantitatively validated using ChatGPT (Study 2). Two recall experiments (Ntotal = 1,076) showed women leaders’ networking in sports (vs. traditional) contexts was more playful, and more playful sports contexts facilitated women (vs. men) leaders’ networking across gender and status differences (Pilot Study, Study 3). Our results show that more playful sports contexts facilitate women leaders’ successful networking across gender and status diversity—an innovation helping to level the playing field of gendered social capital development and future leadership inequalities in organizations. These results advance our understanding of conventional ways of networking as not always strategic and planned while also adding to diversity research by showing that sports—often framed as exclusionary—can also be inclusive.Type: conference paper
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PublicationType: journal articleJournal: Marketing Review St. GallenIssue: 4
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PublicationType: journal articleJournal: learning & education
Scopus© Citations 4 -
PublicationType: journal articleJournal: Human resource management reviewVolume: 31Issue: 4
Scopus© Citations 26 -
PublicationAccommodation, Interpersonal Justice, and the Turnover Intentions of Employees with Disabilities(Taylor & Francis Group, 2023)
;Samosh, Daniel ;Maerz, Addison ;Spitzmuller, MatthiasThe number of employees with disabilities in the workforce is increasing and accommodations are essential to the work of many of these individuals. Prior research has explored perceptions of accommodation requests as well as coworkers’ and managers’ reactions to accommodations; yet, we know little about how employees with disabilities experience their own accommodations. We draw from the disability literature as well as contemporary justice and social exchange theory to develop and subsequently test a multilevel moderated mediation model on this subject. We test our hypotheses with data from 4,083 employees nested in 256 workgroups across two time points. We find support for our prediction that accommodation-focused interpersonal justice influences turnover intentions. The effect of these justice perceptions was mediated by workgroup openness to communication. Further, we find that representation of accommodated employees with disabilities at the workgroup level plays an important role in these relationships. We look beyond the technical aspects of accommodation with this research to highlight the social experience of accommodation as a cen tral driver of employee perceptions and work outcomes.Type: journal articleJournal: The International Journal of Human Resource ManagementVolume: 34Issue: 1 -
PublicationAffects of diverse encounters and understanding their atmospheric attunements( 2021)Janssens, MaddyType: conference paper
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PublicationType: journal articleJournal: Computers in Human Behavior
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PublicationType: journal articleJournal: Controlling : Zeitschrift für erfolgsorientierte UnternehmenssteuerungVolume: 33Issue: 4
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PublicationAlgorithmic Management: Its Implications for Information Systems Research(ACM, 2023)
;Cameron, Lindsey ;Lamers, Laura ;Meijerink, JeroenMöhlmann, MareikeIn recent years, the topic of algorithmic management has received increasing attention in information systems (IS) research and beyond. As both emerging platform businesses and established companies rely on artificial intelligence and sophisticated software to automate tasks previously done by managers, important organizational, social, and ethical questions emerge. However, a cross-disciplinary approach to algorithmic management that brings together IS perspectives with other (sub-)disciplines such as macro- and micro-organizational behavior, business ethics, and digital sociology is missing, despite its usefulness for IS research. This article engages in cross-disciplinary agenda setting through an in-depth report of a professional development workshop (PDW) entitled “Algorithmic Management: Toward a Cross-Disciplinary Research Agenda” delivered at the 2021 Academy of Management Annual Meeting. Three leading experts (Mareike Möhlmann, Lindsey Cameron, and Laura Lamers) on the topic provide their insights on the current status of algorithmic management research, how their work contributes to this area, where the field is heading in the future, and what important questions should be answered going forward. These accounts are followed up by insights from the breakout group discussions at the PDW that provided further input. Overall, the experts and workshop participants highlighted that future research should examine both the desirable and undesirable outcomes of algorithmic management and should not shy away from posing ethical and normative questions.Type: journal articleJournal: Communications of the Association for Information Systems (CAIS)Volume: 52