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作者:

Mustafa, Sohaib (Mustafa, Sohaib.) | Zhang, Wen (Zhang, Wen.) (学者:张文)

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摘要:

Apart from the well-recognized popularity and importance of online question-and-answer (Q&A) communities, the sustainable growth of these platforms is a serious concern faced by online knowledge-sharing platforms. Personality traits play a significant role in shaping human behavior and decision-making. Numerous studies have attempted to understand the volunteer knowledge contribution and provide solutions to improve low participation. However, the role of personality traits of online knowledge-sharing community users in their volunteer knowledge contribution is still unexplored. Based on the big five personality traits, we have proposed a model to understand the role of personality features of online users. We have collected a cross-sectional dataset from online Q&A community users and applied the SEM-ANN model to conclude our model results that will provide insight into online community users' contribution behavior. Findings show that agreeableness, openness, extrovert, and conscientiousness positively and neuroticism negatively influence online participation to contribute knowledge. We have also observed that the influence of personality traits significantly differs for both genders, and negativity bias is stronger in male users. Study results provide new insight into understanding online users' behavior and provide a distinct angle to understand and add value to previous studies' findings on online Q&A community users.

关键词:

knowledge contribution Q&A community SEM-ANN big five personality traits

作者机构:

  • [ 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

通讯作者信息:

  • 张文

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

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来源 :

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION

ISSN: 1044-7318

年份: 2023

期: 14

卷: 40

页码: 3763-3781

ESI学科: PSYCHIATRY/PSYCHOLOGY;

ESI高被引阀值:9

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WoS核心集被引频次:

SCOPUS被引频次: 16

ESI高被引论文在榜: 0 展开所有

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