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Author:

Mustafa, Sohaib (Mustafa, Sohaib.) | Zhang, Wen (Zhang, Wen.) | Naveed, Muhammad Mateen (Naveed, Muhammad Mateen.)

Indexed by:

SSCI EI Scopus SCIE

Abstract:

Low user participation and less knowledge contribution seriously threaten the sustainability of online question and answers communities. Although researchers studied the different aspects of knowledge contribution and proposed useful suggestions, there is still no thorough study on the knowledge contribution pattern of consistent geeks' that can help improve low participation. According to social cognitive and self-determination theory, peers follow credible sources or role models in their participation patterns and are influenced by the community environment. Based on social cognitive and self-determination theory, we have studied the most consistent geeks of StackOverflow for the period between 2010-2020 to employ the results to activate dormant users. Two-step system GMM results revealed that most users take a free ride and hesitate to reciprocate; knowledge-seeking negatively influences the quantity of contributed knowledge. Peer recognition and repudiation positively influence the knowledge contribution of active geeks, whereas reputation scores and badges negatively influence the contributed knowledge's quantity and quality. Social interaction's role as moderator is also different for quantity and quality of knowledge contributed. Study results improve the existing literature and provide comprehensive managerial implications to improve low participation and create a progressive knowledge contribution environment.

Keyword:

low participation knowledge contribution Consistent geeks > Q & A communities GMM

Author Community:

  • [ 1 ] [Mustafa, Sohaib]Beijing Univ Technol, Coll Econ & Management, Beijing, Peoples R China
  • [ 2 ] [Zhang, Wen]Beijing Univ Technol, Coll Econ & Management, Beijing, Peoples R China
  • [ 3 ] [Naveed, Muhammad Mateen]Beijing Univ Technol, Coll Econ & Management, Beijing, Peoples R China
  • [ 4 ] [Mustafa, Sohaib]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Mustafa, Sohaib]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China;;

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Source :

BEHAVIOUR & INFORMATION TECHNOLOGY

ISSN: 0144-929X

Year: 2023

Issue: 10

Volume: 43

Page: 2024-2043

3 . 7 0 0

JCR@2022

ESI Discipline: PSYCHIATRY/PSYCHOLOGY;

ESI HC Threshold:9

Cited Count:

WoS CC Cited Count: 7

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

Affiliated Colleges:

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