PapersFlow Research Brief
Knowledge Management and Sharing
Research Guide
What is Knowledge Management and Sharing?
Knowledge Management and Sharing is the process of capturing, distributing, and effectively using organizational knowledge, with a focus on factors like social capital, trust, motivation, and technology adoption in virtual communities and online collaboration.
This field encompasses 69,727 works that examine knowledge sharing dynamics in virtual communities through elements such as social capital, organizational climate, motivation, and trust. Key studies address the role of social media, tacit knowledge, and intrinsic motivation in enabling online collaboration. Research integrates models of user acceptance of information technology to explain barriers and facilitators of knowledge exchange.
Topic Hierarchy
Research Sub-Topics
Knowledge Sharing in Virtual Communities
This sub-topic studies motivations, barriers, and outcomes of knowledge exchange in online forums, wikis, and crowdsourcing platforms. Researchers apply social network analysis and surveys to platforms like Stack Overflow and Wikipedia.
Social Capital and Knowledge Flows
This sub-topic examines how trust networks, relational ties, and community norms facilitate or hinder knowledge transfer in organizations and online groups. Researchers measure social capital via surveys and network metrics to predict sharing behaviors.
Tacit Knowledge Transfer
This sub-topic explores mechanisms for codifying and sharing non-explicit knowledge through mentoring, communities of practice, and digital tools. Researchers contrast tacit with explicit knowledge using case studies in R&D teams and virtual settings.
Intrinsic Motivation in Knowledge Contribution
This sub-topic analyzes self-determination theory applications to explain voluntary sharing without extrinsic rewards in online and firm contexts. Researchers use experiments and structural equation modeling on contributor data.
Trust and Knowledge Exchange
This sub-topic investigates how propensity to trust, institutional safeguards, and reputation systems affect willingness to share sensitive knowledge. Researchers develop multi-level models integrating individual, relational, and organizational trust.
Why It Matters
Knowledge Management and Sharing directly supports organizational performance by improving how firms leverage intellectual capital for competitive advantage, as Nahapiet and Ghoshal (1998) demonstrated in 'Social Capital, Intellectual Capital, and the Organizational Advantage,' where social capital facilitates knowledge creation and exchange among employees. In practice, Alavi and Leidner (2001) outlined conceptual foundations in 'Review : Knowledge Management and Knowledge Management Systems: Conceptual Foundations And Research Issues1,2,' showing how knowledge management systems enhance organizational learning and decision-making. For instance, Davis (1989) validated scales in 'Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology' that predict technology adoption, with 60,836 citations underscoring its application in deploying tools for knowledge sharing across industries like business and information systems.
Reading Guide
Where to Start
'Review : Knowledge Management and Knowledge Management Systems: Conceptual Foundations And Research Issues1,2' by Alavi and Leidner (2001), as it provides foundational concepts and research issues in knowledge management, serving as an entry point before diving into specific models.
Key Papers Explained
Alavi and Leidner (2001) in 'Review : Knowledge Management and Knowledge Management Systems: Conceptual Foundations And Research Issues1,2' establish conceptual foundations, which Nahapiet and Ghoshal (1998) build on in 'Social Capital, Intellectual Capital, and the Organizational Advantage' by linking social structures to knowledge advantages. Mayer et al. (1995) extend this in 'An Integrative Model of Organizational Trust' by detailing trust mechanisms critical for sharing. Davis (1989) complements with empirical scales in 'Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,' while Huber (1991) in 'Organizational Learning: The Contributing Processes and the Literatures' outlines learning processes that integrate these elements.
Paper Timeline
Most-cited paper highlighted in red. Papers ordered chronologically.
Advanced Directions
Current research emphasizes dynamics in virtual communities, social media, and online collaboration, as reflected in the field's keywords like tacit knowledge and intrinsic motivation. With no recent preprints or news available, frontiers likely involve extending trust and acceptance models to emerging digital platforms, building on foundational works like Kaplan and Haenlein (2009).
Papers at a Glance
Frequently Asked Questions
What factors influence knowledge sharing in virtual communities?
Social capital, organizational climate, motivation, trust, social media, tacit knowledge, and intrinsic motivation drive knowledge sharing in virtual communities. Nahapiet and Ghoshal (1998) in 'Social Capital, Intellectual Capital, and the Organizational Advantage' identify social capital as key to organizational knowledge advantages. Mayer et al. (1995) in 'An Integrative Model of Organizational Trust' link trust to effective knowledge exchange.
How does user acceptance of technology affect knowledge management?
Perceived usefulness and perceived ease of use predict user acceptance of information technology essential for knowledge management systems. Davis (1989) developed validated scales for these in 'Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology.' Davis et al. (1989) compared models in 'User Acceptance of Computer Technology: A Comparison of Two Theoretical Models' to explain adoption behaviors.
What role does trust play in organizational knowledge sharing?
Trust integrates factors like ability, benevolence, and integrity to enable knowledge sharing and reduce opportunism. Mayer et al. (1995) proposed 'An Integrative Model of Organizational Trust' that applies to knowledge exchange contexts. This model supports collaboration in virtual communities by fostering reliable interactions.
What are the conceptual foundations of knowledge management systems?
Knowledge management treats knowledge as an organizational resource through systems that support acquisition, distribution, and application. Alavi and Leidner (2001) reviewed these in 'Review : Knowledge Management and Knowledge Management Systems: Conceptual Foundations And Research Issues1,2.' Their work identifies research issues in epistemology and organizational implementation.
How does social media facilitate knowledge sharing?
Social media provides platforms for user-generated content and collaboration, overcoming traditional barriers to knowledge exchange. Kaplan and Haenlein (2009) analyzed challenges and opportunities in 'Users of the world, unite! The challenges and opportunities of Social Media.' It enables virtual communities to harness collective intelligence.
What processes contribute to organizational learning in knowledge management?
Organizational learning involves knowledge acquisition, information distribution, interpretation, and memory. Huber (1991) detailed these in 'Organizational Learning: The Contributing Processes and the Literatures.' These processes underpin effective knowledge management strategies.
Open Research Questions
- ? How can social capital be quantitatively measured to predict knowledge sharing outcomes in diverse virtual communities?
- ? What interventions best enhance intrinsic motivation for tacit knowledge exchange on social media platforms?
- ? In what ways do trust models need adaptation for AI-mediated knowledge sharing environments?
- ? How do organizational climates moderate the impact of technology acceptance on knowledge management system usage?
- ? What metrics effectively evaluate the long-term retention of shared knowledge in online collaborations?
Recent Trends
The field maintains a corpus of 69,727 works with sustained interest in virtual communities and social media, as seen in highly cited papers like Kaplan and Haenlein 'Users of the world, unite! The challenges and opportunities of Social Media' (17,187 citations).
2009Growth data over 5 years is unavailable, indicating stable foundational research.
No recent preprints or news in the last 12 months point to ongoing reliance on established models from Davis and Nahapiet and Ghoshal (1998).
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