Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Social Networking is a buzzword in modern communication for eradicating the distance barrier. Due to the advancement in Information and Communication Technology, peoples can communicate with each other from anywhere in anytime. Different way of communication tools exits; Social networking is one of them. Through social networking, users can share their thinking, values, emotions, insights and so on with others. However, their behaviour of the social networking sites (SNS) users is influenced by different factors. This paper aims at identifying those determinants, specially the socio-technical determinants of knowledge sharing behaviour among the user of SNS. Structural equation modelling (SEM) was conducted on the primary data collected through the survey. Therefore, the outcome of this study shows that ethical culture, social ties, sense of belonging, knowledge self-efficacy, information privacy and structural assurance are all significant variables as socio-technical factors.
Jakia Sultana. 2019. \u201cSocio – Technical Determinants of Knowledge Sharing Behaviour- An Investigation on Social Networking Sites Users\u201d. Global Journal of Management and Business Research - E: Marketing GJMBR-E Volume 19 (GJMBR Volume 19 Issue E2): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
The methods for personal identification and authentication are no exception.
Total Score: 103
Country: Bangladesh
Subject: Global Journal of Management and Business Research - E: Marketing
Authors: Jakia Sultana, Md. Aminul Islam, Md. Fahami Ahsan Mazmum (PhD/Dr. count: 0)
View Count (all-time): 187
Total Views (Real + Logic): 2841
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Publish Date: 2019 03, Wed
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Neural Networks and Rules-based Systems used to Find Rational and
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Social Networking is a buzzword in modern communication for eradicating the distance barrier. Due to the advancement in Information and Communication Technology, peoples can communicate with each other from anywhere in anytime. Different way of communication tools exits; Social networking is one of them. Through social networking, users can share their thinking, values, emotions, insights and so on with others. However, their behaviour of the social networking sites (SNS) users is influenced by different factors. This paper aims at identifying those determinants, specially the socio-technical determinants of knowledge sharing behaviour among the user of SNS. Structural equation modelling (SEM) was conducted on the primary data collected through the survey. Therefore, the outcome of this study shows that ethical culture, social ties, sense of belonging, knowledge self-efficacy, information privacy and structural assurance are all significant variables as socio-technical factors.
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