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Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/1028
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dc.contributor.authorBhattacharyya, Samadrita
dc.contributor.authorBanerjee, Shankhadeep
dc.contributor.authorBose, Indranil
dc.date.accessioned2021-08-26T06:03:22Z-
dc.date.available2021-08-26T06:03:22Z-
dc.date.issued2020
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85076858125&doi=10.1016%2fj.im.2019.103245&partnerID=40&md5=6858ea60ab81de4ff230f9f139bd3b2a
dc.identifier.urihttps://ir.iimcal.ac.in:8443/jspui/handle/123456789/1028-
dc.descriptionSamadrita Bhattacharyya, Management Information Systems, Indian Institute of Management Calcutta, Kolkata, India; Shankhadeep Banerjee, Management Information Systems, Indian Institute of Management Calcutta, Kolkata, India; Indranil Bose, Management Information Systems, Indian Institute of Management Calcutta, Kolkata, India
dc.descriptionISSN/ISBN - 03787206
dc.descriptionDOI - 10.1016/j.im.2019.103245
dc.description.abstractOnline knowledge-sharing communities typically acknowledge their top contributors by implementing recognition systems. Extant recognition systems suffer from several limitations such as treatment of the entire community as homogeneous and inflexibility of customization. We propose a framework based on socio-technical design principles for designing a multi-criterion- and multi-segment-based recognition system that exploits multiple user characteristics for differential recognition according to community goals. We apply this framework on data gathered from Yelp.com and show how it can be used to recognize top members of different identified behavioral segments (amateurs, adepts, and enthusiasts) based on their performance on various relevant factors.
dc.publisherSCOPUS
dc.publisherInformation and Management
dc.publisherElsevier B.V.
dc.relation.ispartofseries57(7)
dc.subjectBehavioral segmentation
dc.subjectDesign framework
dc.subjectOnline communities
dc.subjectReputation systems
dc.subjectRewards and recognition
dc.subjectYelp
dc.titleOne size does not fit all: Rethinking recognition system design for behaviorally heterogeneous online communities
dc.typeArticle
Appears in Collections:Management Information Systems

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