A multidimensional model of knowledge sharing behavior in mobile social networks
| Autor: | Mohamad Hoseini, Fatemeh Saghafi, Emad Aghayi |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Knowledge management
business.industry Computer science 05 social sciences GRASP Usability Structural equation modeling Theoretical Computer Science Knowledge sharing Multidimensional model Control and Systems Engineering 0502 economics and business Computer Science (miscellaneous) 050211 marketing Path analysis (statistics) business Engineering (miscellaneous) 050203 business & management Social Sciences (miscellaneous) Social capital |
| Zdroj: | Kybernetes. 48:906-929 |
| ISSN: | 0368-492X |
| DOI: | 10.1108/k-07-2017-0249 |
| Popis: | PurposeA 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/approachA 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.FindingsThis 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 implicationsThe 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/valueA 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. |
| Databáze: | OpenAIRE |
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