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dc.contributor.authorGharib, Rebwar Kamalen
dc.contributor.authorPhilpott, Ellyen
dc.contributor.authorDuan, Yanqingen
dc.date.accessioned2017-01-09T13:15:40Z
dc.date.available2017-01-09T13:15:40Z
dc.date.issued2016-11-22
dc.identifier.citationKamal Gharib R, Philpott E, Duan Y (2016) 'Factors affecting active participation in B2B online communities: an empirical investigation', Information and Management 54 (4) 516-530en
dc.identifier.issn0378-7206
dc.identifier.doi10.1016/j.im.2016.11.004
dc.identifier.urihttp://hdl.handle.net/10547/621926
dc.description.abstractThere is a lack of understanding on the factors affecting active participation in Business-to-Business (B2B) Online Communities (OC). To address this gap, we developed a model based on two theories: Social Exchange Theory and the Information Systems Success Model. The model was validated by using survey data collected from 40 B2B discussion forums on LinkedIn (n = 521). Our work made a number of significant contributions including an integrated model of factors affecting active participation in B2B OCs and a new validated measure for active participation. Further, we proposed several guidelines which assist B2B OC providers in building and maintaining successful communitities.
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S0378720616303342en
dc.rightsGreen - can archive pre-print and post-print or publisher's version/PDF
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectB2B online communitiesen
dc.subjectactive participationen
dc.subjectsocial exchangeen
dc.subjectinformation systemsen
dc.titleFactors affecting active participation in B2B online communities: an empirical investigationen
dc.typeArticleen
dc.contributor.departmentUniversity of Bedfordshireen
dc.identifier.journalInformation and Managementen
dc.date.updated2017-01-09T11:59:45Z
refterms.dateFOA2019-11-22T00:00:00Z
html.description.abstractThere is a lack of understanding on the factors affecting active participation in Business-to-Business (B2B) Online Communities (OC). To address this gap, we developed a model based on two theories: Social Exchange Theory and the Information Systems Success Model. The model was validated by using survey data collected from 40 B2B discussion forums on LinkedIn (n = 521). Our work made a number of significant contributions including an integrated model of factors affecting active participation in B2B OCs and a new validated measure for active participation. Further, we proposed several guidelines which assist B2B OC providers in building and maintaining successful communitities.


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