Factors affecting active participation in B2B online communities: An empirical investigation

Rebwar Kamal Gharib, Elly Philpott, Yanqing Duan

Research output: Contribution to journalArticlepeer-review

51 Citations (Scopus)
381 Downloads (Pure)


There is a lack of understanding on the factors affecting active participation in business-to-business (B2B) online communities (OCs). 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 several 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 that assist B2B OC providers in building and maintaining successful communities.
Original languageEnglish
Pages (from-to)516-530
Number of pages15
JournalInformation & Management
Issue number4
Early online date22 Nov 2016
Publication statusPublished - Jun 2017

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Information & Management. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Information & Management, [54, 4, (2016)] DOI: 10.1016/j.im.2016.11.004

© 2016, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/


  • B2B online communities
  • Active participation
  • Social exchange
  • Information systems success


Dive into the research topics of 'Factors affecting active participation in B2B online communities: An empirical investigation'. Together they form a unique fingerprint.

Cite this