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A multidimensional model of knowledge sharing behavior in mobile social networks

Mohamad Hoseini (Max Planck Institute for Informatics, Saarbrücken, Germany)
Fatemeh Saghafi (Faculty of Management, University of Tehran, Tehran, Iran)
Emad Aghayi (Computer Science Department, George Mason University, Fairfax, VA, USA)

Kybernetes

ISSN: 0368-492X

Article publication date: 8 October 2018

Issue publication date: 2 May 2019

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Abstract

Purpose

A great number of people use mobile social networks (MSNs) to communicate, entertain, learn, search and get advice. Growth and survival of any community depends on the activities of its members in sharing information and knowledge. The purpose of this study is to assess the influential factors on knowledge sharing behavior in MSNs in different perspectives in a comprehensive manner.

Design/methodology/approach

A model of factors affecting knowledge sharing behavior in MSNs is proposed by applying the structural equation modeling and path analysis to data collected from a sample of users of a well-known MSN through a questionnaire.

Findings

This study supports the contributive aspects of trust and enjoying participation in sharing knowledge, while there is no significant correlation between perceived ease of use and knowledge sharing behavior in MSNs. Furthermore, intention to share knowledge can lead to actual behavior in MSNs environments.

Practical implications

The results obtained here provide a grasp of factors that influence knowledge sharing in mobile communities which would promote enhanced contribution towards their online communities by MSNs administrators.

Originality/value

A four-dimensional comprehensive model consisting of social, psychological, cultural and technological perspectives in one package is proposed here for knowledge sharing behavior in MSNs. Such a comprehensive perspective is overlooked in the existing literature.

Keywords

Citation

Hoseini, M., Saghafi, F. and Aghayi, E. (2019), "A multidimensional model of knowledge sharing behavior in mobile social networks", Kybernetes, Vol. 48 No. 5, pp. 906-929. https://doi.org/10.1108/K-07-2017-0249

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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