Collaboration in Online Communities: Information Processing and Decision Making

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    Status versus Reputation as Motivation in Online Communities
    (2023-01-03) Rivato, Morena; Zaggl, Michael
    The continued active participation of contributors is crucial for online knowledge exchange communities. In many communities, virtual credit scores measure contributions and play a pivotal role in motivating active participation over time. We use status theory to characterize virtual credit as a double-edged sword to participation dynamics. We hypothesize that virtual scores reflect status rather than reputation and produce a non-linear effect by motivating contributions when participants are of low status but demotivating participants once they achieve high status. We test our theorizing on a dataset of a large Q&A community. Consistent with our hypotheses, we find robust evidence that status-seeking is a positive source of motivation but self-depletes, meaning that cumulating status in the community reduces the motivational drive of status-seeking. This study contributes to the literature on the motivations to participate in voluntary online knowledge exchange communities by offering an explanation of the dynamics of continued active participation.
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    Designing Community Collaboration Support System to Facilitate the Resilience of Supply Chains During Crises
    (2023-01-03) Nejinski, Alexander; Andreev, Pavel
    This study explores how to design an information system that facilitates the resilience of supply chains and the collaboration of different stakeholders during various crises. The ultimate objective of this study is to develop a knowledge base for formalizing design principles essential for designing and conceptualizing the Community Collaboration Support System to facilitate the resilience of supply chains during a crisis. To derive the design principles, we followed the design science research approach. Drawing from the literature, this paper used kernel theories as a part of the process. The design principles are well positioned and aligned with the acquired knowledge base. This study contributes to the existing research in distributed and collaboration technology. Additional explanatory studies are needed to validate posited design principles.
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    Examining Effects of Badge Repeatability and Level on Users’ Knowledge Sharing in Online Q&A Communities
    (2023-01-03) Wen, Bo; Hu, Paul; Xu, Anqi
    This study investigates the differential effects of badge repeatability and level on users’ knowledge sharing behaviors in an online Q&A (Question & Answer) community. Drawing on reinforcement theory and attribution theory of motivation, we conjecture that nonrepeatable badges reinforce individuals’ behaviors primarily by promoting internal attributions that strengthen their self-determination motivation, while repeatable badges reinforce people’s behaviors mainly via external attributions that undermine their self-determination motivation. By using fixed-effects models to analyze a panel data, we observe that nonrepeatable badges can better motivate users to share their knowledge than repeatable badges. In addition, the results show that attaining a higher level of nonrepeatable badges is associated with an increased effect for knowledge sharing, and that attaining a higher level of repeated badges leads to a decreased effect. These findings can contribute to extant literature by offering a probable explanation regarding why some gamified awards can motivate people better than others.