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Exploration of factors affecting the use of Web 2.0 for knowledge sharing among healthcare professionals: an Indian perspective

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TLDR
Attitude toward KS using Web 2.0 was found to be positively related to self-efficacy and reciprocity, and face and reputation were found to moderate the relationship between attitude and intention to share knowledge while the moderating effect of rewards was finding to be insignificant.
Abstract
This study aims to explore knowledge sharing (KS) attitudes and intention of healthcare professionals in India through the use of information and communication technology platforms such as Web 2.0. The research specifically focuses on individual motivators such as the face, reputation and reciprocity, which, to an extent, are influenced by indigenous culture.,The study uses a cross-sectional survey design to collect data. A sample of 207 was obtained from professionals working in healthcare in India. The data were analyzed using the partial least square-structural equation modeling.,The results confirmed that attitude toward KS leads to the intention to share knowledge. Attitude toward KS using Web 2.0 was found to be positively related to self-efficacy and reciprocity. Furthermore, face and reputation were found to moderate the relationship between attitude and intention to share knowledge while the moderating effect of rewards was found to be insignificant.,This study was limited to healthcare professionals in India. Knowledge workers in other industries can be considered for further studies.,This study provides useful insights into KS practices using Web 2.0 among knowledge workers. Particularly it emphasizes the individual motivators, which can be manipulated by Web 2.0 designers to nurture a positive attitude toward KS and to encourage user’s participation.,The study investigates, using an integrated theoretical framework, how certain factors act as a motivator or a barrier for sharing knowledge using Web 2.0. in the specific cultural context of healthcare professionals in India.

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References
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Journal ArticleDOI

Knowledge sharing motivations in online health communities: A comparative study of health professionals and normal users

TL;DR: Results show that reciprocity and altruism positively affect the knowledge sharing intention of both health professionals and normal users, and reputation and knowledge self-efficacy have a greater influence on theknowledge sharing intentions of health professionals than normal users.
Journal ArticleDOI

Bridging intention and behavior of knowledge sharing

TL;DR: An innovative scale that captures the underlying intention, measures it, and assesses the resulting behavior is presented, which provides a potential tool that may be applied by managers for the purpose of measuring explicit and tacit knowledge-sharing intention and behavior.
Journal ArticleDOI

Facilitating knowledge sharing in Russian and Chinese subsidiaries: the role of personal networks and group membership

TL;DR: This paper specifically addresses how group membership and personal networking in these countries facilitate and impede knowledge sharing and provides important insights for Western managers about how to work with the national compositions to optimize knowledge sharing in their subsidiary operations in Russia and China.
Proceedings Article

Can Social Exchange Theory Explain Individual Knowledge-Sharing Behavior ? A Meta-Analysis

TL;DR: The findings confirm that the social exchange theory plays an important role underlying individuals’ knowledge-sharing behavior and demonstrate that social interaction and trust derived from thesocial exchange theory and moderated by IT contextual factors can predict individual’s knowledge- sharing behavior.
Journal ArticleDOI

A Knowledge-based view of People and Technology: Directions for a value co-creation based learning organisation

TL;DR: It is shown that the workforce’s behaviour and the technological infrastructure of the organisation have a direct effect on business performance and the need for organisations to invest in the implementation of KM strategies that involve both the human resources and technological infrastructure as a way to improve the impact of knowledge on the companies’ economic performances.
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