This the fourth article in the series on collective performance we will be looking at knowledge transfer as a process within organizations, enabling the dissemination of information, skills and expertise from one entity to another. It facilitates innovation, enhances performance and sustains competitive advantage (Davenport & Prusak, 1998). To effectively manage and leverage knowledge transfer, it is essential to understand its various types, mechanisms and influencing factors. Developing a taxonomy of knowledge transfer provides a structured framework for organizations to analyse and improve their knowledge management practices.
This article presents a detailed taxonomy of knowledge
transfer, categorising its types, levels, mechanisms, processes, barriers and
enablers. By comprehensively understanding these elements organizations can
implement strategies to facilitate efficient knowledge transfer and optimise
organizational performance.
Understanding Knowledge Transfer
Definition
Knowledge transfer refers to the process through which
knowledge is shared and disseminated from one part of an organization to
another or between organizations (Argote & Ingram, 2000). It encompasses
the movement of both explicit and tacit knowledge across different levels and
contexts.
Taxonomy of Knowledge Transfer:
1. Types of Knowledge
Explicit Knowledge
- Definition:
Knowledge that is codified, documented and easily communicated (Nonaka
& Takeuchi, 1995).
- Examples:
Manuals, databases, procedures, reports.
Tacit Knowledge
- Definition:
Personal, context-specific knowledge that is hard to formalize and
communicate (Polanyi, 1966).
- Examples:
Experiences, insights, intuition, skills[1].
2. Levels of Knowledge Transfer
Individual Level
- Description:
Transfer of knowledge between individuals.
- Mechanisms:
Mentoring, coaching, informal conversations.
Team Level
- Description:
Sharing knowledge within and between teams.
- Mechanisms:
Team meetings, collaborative projects, communities of practice.
Organizational Level
- Description:
Dissemination of knowledge across the entire organization.
- Mechanisms:
Organizational learning programs, intranets, corporate training.
Inter-Organizational Level
- Description:
Knowledge transfer between different organizations.
- Mechanisms:
Strategic alliances, partnerships, joint ventures, industry conferences[2].
3. Mechanisms and Methods
Socialisation
- Process:
Sharing tacit knowledge through shared experiences and interactions
(Nonaka & Takeuchi, 1995).
- Methods:
On-the-job training, apprenticeships, storytelling.
Externalisation
- Process:
Converting tacit knowledge into explicit forms (Nonaka & Takeuchi,
1995).
- Methods:
Writing manuals, documenting processes, creating models.
Combination
- Process:
Systematically combining different bodies of explicit knowledge (Nonaka
& Takeuchi, 1995).
- Methods:
Databases, knowledge repositories, data integration.
Internalisation
- Process:
Absorbing explicit knowledge and turning it into tacit knowledge through
application (Nonaka & Takeuchi, 1995).
- Methods:
Training programs, simulations, learning by doing.
4. Processes of Knowledge Transfer
Formal Processes
- Description:
Structured and planned activities.
- Examples:
Training sessions, workshops, seminars.
Informal Processes
- Description:
Unstructured, spontaneous interactions.
- Examples:
Casual conversations, informal networks, ad-hoc collaborations.
5. Barriers to Knowledge Transfer
Individual Barriers
- Lack
of Trust: Reluctance to share knowledge due to fear of misuse or loss
of ownership (Szulanski, 1996).
- Communication
Skills: Inability to effectively articulate knowledge.
Organizational Barriers
- Cultural
Differences: Variations in values and norms that hinder knowledge
sharing (De Long & Fahey, 2000).
- Structural
Silos: Departmental boundaries that limit cross-functional knowledge
flow.
Technological Barriers
- Inadequate
Systems: Lack of appropriate technology to support knowledge transfer
(Alavi & Leidner, 2001).
- Accessibility
Issues: Difficulty in accessing or retrieving stored knowledge.
6. Enablers of Knowledge Transfer
Leadership Support
- Role:
Leaders promote a culture that values knowledge sharing (Davenport &
Prusak, 1998).
- Actions:
Encouraging open communication, providing resources.
Organizational Culture
- Characteristics:
Cultures that emphasize collaboration and learning facilitate knowledge
transfer (De Long & Fahey, 2000).
- Practices:
Recognition and rewards for knowledge sharing, fostering trust.
Technology Infrastructure
- Components:
Knowledge management systems, collaboration tools (Alavi & Leidner,
2001).
- Benefits:
Enhances storage, retrieval and dissemination of knowledge.
Human Resource Practices
- Strategies:
Recruitment of knowledge-sharing individuals, training programs
(Scarbrough, 2003).
- Outcomes:
Builds capabilities and reinforces knowledge transfer behaviours.
Visual Representation of the Taxonomy
To provide clarity organizations can create diagrams or
tables summarizing the taxonomy, illustrating how the different categories
interact and overlap.
Example Table: Summary of Knowledge Transfer Taxonomy
Category |
Subcategory |
Description |
Types of
Knowledge |
- Explicit |
Codified vs.
personal knowledge |
Levels |
- Individual |
Levels at
which knowledge transfer occurs |
Mechanisms |
-
Socialization |
Methods based
on SECI model (Nonaka & Takeuchi, 1995) |
Processes |
- Formal |
Structured
vs. spontaneous knowledge transfer processes |
Barriers |
- Individual |
Factors that
impede knowledge transfer |
Enablers |
- Leadership
Support |
Factors that
facilitate knowledge transfer |
Application of the Taxonomy
Diagnosing Knowledge Transfer Issues
Organizations can use the taxonomy to identify where
knowledge transfer may be breaking down by examining each category:
- Assess
Barriers: Identify specific barriers at all levels as well as technological.
- Leverage
Enablers: Implement strategies to enhance enablers, such as improving
technology infrastructure or cultivating a supportive culture.
Designing Knowledge Management Strategies
- Tailoring
Mechanisms: Choose appropriate mechanisms based on the type of
knowledge and the level at which transfer is needed.
- Integrating
Processes: Combine formal and informal processes to create a
comprehensive approach.
Enhancing Organizational Learning
- Promoting
Continuous Learning: Encourage ongoing knowledge transfer to support
adaptability and innovation.
- Measuring
Impact: Use performance metrics to evaluate the effectiveness of
knowledge transfer initiatives.
Case Studies
Case Study 1: IBM's Knowledge Management Initiatives
- Challenge:
IBM needed to harness the vast knowledge dispersed across its global
operations.
- Solution:
Implemented knowledge management systems and fostered communities of
practice to facilitate knowledge sharing at all levels (Davenport &
Prusak, 1998).
- Outcome:
Improved collaboration, innovation and service delivery.
Case Study 2: Buckman Laboratories
- Challenge:
Enhance knowledge sharing among employees to improve customer solutions.
- Solution:
Developed a knowledge network supported by technology, encouraging
employees to contribute and access knowledge (Pan & Scarbrough, 1998).
- Outcome:
Increased responsiveness to customer needs and competitive advantage.
A comprehensive taxonomy of knowledge transfer equips
organizations with the tools to systematically analyse and enhance their
knowledge management practices. By understanding the types, levels, mechanisms,
processes, barriers and enablers of knowledge transfer organizations can
implement targeted strategies to facilitate effective knowledge sharing. This,
in turn, drives innovation, improves performance and sustains competitive
advantage.
Investing in knowledge transfer isn’t just about technology
or processes; it involves cultivating a culture that values learning and
collaboration. Organizations that excel in knowledge transfer are better
positioned to adapt to change, meet customer needs and achieve long-term
success.
References
Alavi, M., & Leidner, D. E. (2001). Review: Knowledge
Management and Knowledge Management Systems: Conceptual Foundations and
Research Issues. MIS Quarterly, 25(1), 107-136. https://www.researchgate.net/publication/200772522_Review_Knowledge_Management_and_Knowledge_Management_Systems_Conceptual_Foundations_and_Research_Issues
Argote, L., & Ingram, P. (2000). Knowledge Transfer: A
Basis for Competitive Advantage in Firms. Organizational Behavior and Human
Decision Processes, 82(1), 150-169. https://www.sciencedirect.com/science/article/abs/pii/S0749597800928930
Davenport, T. H., & Prusak, L. (1998). Working
Knowledge: How Organizations Manage What They Know. Harvard Business School
Press. https://www.researchgate.net/publication/229099904_Working_Knowledge_How_Organizations_Manage_What_They_Know
De Long, D. W., & Fahey, L. (2000). Diagnosing Cultural
Barriers to Knowledge Management. Academy of Management Executive, 14(4),
113-127. https://www.researchgate.net/publication/230557514_Diagnosing_Cultural_Barriers_to_Knowledge_Management
Nonaka, I., & Takeuchi, H. (1995). The
Knowledge-Creating Company: How Japanese Companies Create the Dynamics of
Innovation. Oxford University Press. https://global.oup.com/academic/product/the-knowledge-creating-company-9780195092691?cc=ua&lang=en&
Pan, S. L., & Scarbrough, H. (1998). A Socio-Technical
View of Knowledge-Sharing at Buckman Laboratories. Journal of Knowledge
Management, 2(1), 55-66. https://www.researchgate.net/publication/235286847_A_Socio-Technical_View_of_Knowledge_Sharing_at_Buckman_Laboratories
Polanyi, M. (1966). The Tacit Dimension. Routledge &
Kegan Paul. https://books.google.co.uk/books/about/The_Tacit_Dimension.html?id=jwLXAAAAMAAJ&redir_esc=y
Scarbrough, H. (2003). Knowledge Management, HRM and the
Innovation Process. International Journal of Manpower, 24(5), 501-516. https://www.researchgate.net/publication/235301713_Knowledge_management_HRM_and_the_innovation_process
Szulanski, G. (1996). Exploring Internal Stickiness:
Impediments to the Transfer of Best Practice Within the Firm. Strategic
Management Journal, 17(S2), 27-43. https://josephmahoney.web.illinois.edu/BADM%20545_Spring%202008/Paper/Szulanski%20(1996).pdf
Further Reading
Hansen, M. T., Nohria, N., & Tierney, T. (1999). What's
Your Strategy for Managing Knowledge? Harvard Business Review, 77(2), 106-116. https://hbr.org/1999/03/whats-your-strategy-for-managing-knowledge
Kogut, B., & Zander, U. (1992). Knowledge of the Firm,
Combinative Capabilities and the Replication of Technology. Organization
Science, 3(3), 383-397. https://www.researchgate.net/publication/228314105_Knowledge_of_the_Firm_Combinative_Capabilities_and_the_Replication_of_Technology
Leonard-Barton, D. (1995). Wellsprings of Knowledge:
Building and Sustaining the Sources of Innovation. Harvard Business School
Press. https://hollis.harvard.edu/primo-explore/fulldisplay?docid=01HVD_ALMA211967035640003941&context=L&vid=HVD2&lang=en_US&search_scope=everything&adaptor=Local%20Search%20Engine&isFrbr=true&tab=everything&query=lsr01,contains,006051474&sortby=date&facet=frbrgroupid,include,394147142&mode=basic&offset=0
or https://www.researchgate.net/publication/225070500_The_Wellsprings_of_Knowledge
Nahapiet, J., & Ghoshal, S. (1998). Social Capital,
Intellectual Capital and the Organizational Advantage. Academy of Management
Review, 23(2), 242-266. https://www.researchgate.net/publication/228314367_Social_Capital_Intellectual_Capital_and_the_Organizational_Advantage
Von Krogh, G., Ichijo, K., & Nonaka, I. (2000). Enabling
Knowledge Creation: How to Unlock the Mystery of Tacit Knowledge and Release
the Power of Innovation. Oxford University Press. https://www.researchgate.net/publication/230557869_Enabling_Knowledge_Creation_How_To_Unlock_the_Mystery_of_Tacit_Knowledge_and_Release_the_Power_of_Innovation
Note: This article provides a structured taxonomy of
knowledge transfer, drawing on established theories and research in knowledge
management. The references cited are foundational works that offer deeper
insights into the concepts discussed. Readers interested in exploring these
topics further are encouraged to consult the listed sources.
Disclaimer: Please note that parts of this post were assisted by an Artificial Intelligence (AI) tool. The AI has been used to generate certain content and provide information synthesis. While every effort has been made to ensure accuracy, the AI's contributions are based on its training data and algorithms and should be considered as supplementary information.
[1] This
is where a good training analysis looks for the ‘knack’ of a task.
[2] Where
considering the strategic ‘why’ of this
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