The Co-Evolution of Trust and Coordination in Global Software Development Teams-An Extensible Evolutionary Game Theory Model

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dc.contributor.authorWang, Yi
dc.contributor.authorWang, Zhendong
dc.contributor.authorRedmiles, David
dc.date.accessioned2019-01-03T00:41:59Z
dc.date.available2019-01-03T00:41:59Z
dc.date.issued2019-01-08
dc.description.abstractTrust is important for effective coordination in global software development teams. However, the co-evolution of trust and coordination is often neglected. To fill the gap, we develop an evolutionary game theory model. Using the Behavior-Preference-Constraint (BPC) model and Adaptive Play, the model challenges the traditional view of trust as a static “resource” for coordination and proposes an alternative view that trust dynamically restricts people’s action choices in interacting with other team members. Through analyzing the model, we describe how trust and coordination co-evolve in the progress of interactions among team members. We propose three propositions summarizing the long-term characteristics of coordination and trust in the process. For example, the co-existence of low trust and high trust can be a stable state in the long run, which explains why low trust can always exist even when all team members strictly prefer effective coordination.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2019.696
dc.identifier.isbn978-0-9981331-2-6
dc.identifier.urihttp://hdl.handle.net/10125/60012
dc.language.isoeng
dc.relation.ispartofProceedings of the 52nd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAdvances in Trust, Identity, and Trusted Systems in Technology-Mediated Environments
dc.subjectOrganizational Systems and Technology
dc.subjectCoordination
dc.subjectEvolutionary Game Theory
dc.subjectGlobally Distributed Teams
dc.subjectTrust
dc.titleThe Co-Evolution of Trust and Coordination in Global Software Development Teams-An Extensible Evolutionary Game Theory Model
dc.typeConference Paper
dc.type.dcmiText

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