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dc.contributor.authorFerguson, Sharon A.
dc.contributor.authorCheng, Kathy
dc.contributor.authorAdolphe, Lauren
dc.contributor.authorVan de Zande, Georgia
dc.contributor.authorWallace, David
dc.contributor.authorOlechowski, Alison
dc.date.accessioned2024-05-14T14:37:43Z
dc.date.available2024-05-14T14:37:43Z
dc.date.issued2022
dc.identifier.issn2053-4701
dc.identifier.urihttps://hdl.handle.net/1721.1/154940
dc.description.abstractEnterprise social network messaging sites are becoming increasingly popular for team communication in engineering and product design. These digital communication platforms capture detailed messages between members of the design team and are an appealing data set for researchers who seek to better understand communication in design. This exploratory study investigates whether we can use enterprise social network messages to model communication patterns throughout the product design process. We apply short text topic modelling (STTM) to a data set comprising 250,000 messages sent by 32 teams enrolled in a 3-month intensive product design course. Many researchers describe the engineering design process as a series of convergent and divergent thinking stages, such as the popular double diamond model, and we use this theory as a case study in this work. Quantitative and qualitative analysis of STTM results reveals several trends, such as it is indeed possible to see evidence of cyclical convergence and divergence of topics in team communication; within the convergence–divergence pattern, strong teams have fewer topics in their topic models than weaker teams; and teams show characteristics of product, project, course, and other themes within each topic. We provide evidence that the analysis of enterprise social networking messages, with advanced topic modelling techniques, can uncover insights into design processes and can identify the communication patterns of successful teams.en_US
dc.language.isoen
dc.publisherCambridge University Pressen_US
dc.relation.isversionof10.1017/dsj.2022.12en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceCambridge University Pressen_US
dc.titleCommunication patterns in engineering enterprise social networks: an exploratory analysis using short text topic modellingen_US
dc.typeArticleen_US
dc.identifier.citationFerguson SA, Cheng K, Adolphe L, Van de Zande G, Wallace D, Olechowski A. Communication patterns in engineering enterprise social networks: an exploratory analysis using short text topic modelling. Design Science. 2022;8:e18.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.relation.journalDesign Scienceen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2024-05-14T14:32:53Z
dspace.orderedauthorsFerguson, SA; Cheng, K; Adolphe, L; Van de Zande, G; Wallace, D; Olechowski, Aen_US
dspace.date.submission2024-05-14T14:32:55Z
mit.journal.volume8en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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