Applying recommender systems in collaboration environments.
Team-based organizational structures are now widely adopted for activities such as product development, customer support and process-improvement initiatives due to their increased likelihood of making better decisions and solving problems. However, team collaboration often faces pitfalls like inform...
| Publicado en: | Computers in Human Behavior Vol. 51; pp. 1124 - 1134 |
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| Autores principales: | , , , , , , |
| Formato: | Artículo |
| Publicado: |
Elsevier B.V.
Oct2015 Part B
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=108614412&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 108614412 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 07475632 JC4 jtl: Computers in Human Behavior issn: 07475632 maglogo: N pubinfo: dt: Oct2015 Part B vid: 51 pid: 2410 pub: Elsevier B.V. artinfo: ui: 108614412 10.1016/j.chb.2015.02.045 ppf: 1124 ppct: 10 formats: tig: atl: Applying recommender systems in collaboration environments. aug: au: Damiani, Ernesto Ceravolo, Paolo Frati, Fulvio Bellandi, Valerio Maier, Ronald Seeber, Isabella Waldhart, Gabriela affil: Etisalat British Telecom Innovation Center/Khalifa University, Abu Dhabi, United Arab Emirates Computer Science Department, Università degli Studi di Milano, Italy Department of Information Systems, Production and Logistics Management, University of Innsbruck, Austria su: Interprofessional relations Work Teams in the workplace Task performance High performance computing Organizational structure sug: subj: Interprofessional relations Work Teams in the workplace Task performance High performance computing Organizational structure keyword: Collaboration environment Engagement Experiment Information Handling Interaction Recommender system Team collaboration Team process Work Sharing Collaboration environment Engagement Experiment Information Handling Interaction Recommender system Team collaboration Team process Work Sharing ab: Team-based organizational structures are now widely adopted for activities such as product development, customer support and process-improvement initiatives due to their increased likelihood of making better decisions and solving problems. However, team collaboration often faces pitfalls like information overload or misunderstandings due to goal misalignment. In this paper, we put forward the idea that computer-supported collaboration environments can have a positive impact on team collaboration by increasing team members’ awareness, focusing attention on task execution, and fostering the frequency of interaction among team members. We study the impact of recommender systems on team processes in computer-supported collaboration environments, describing the results of two experiments that show how recommendations impact interactions in teams. Teams using recommendations spent less effort on information handling and engaged more in communication than teams without recommendations. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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