universal operations Commons: 3/5

Seci Model Knowledge Creation

Also known as:

SECI Model - Knowledge Creation

Research Notes

Key Information from Search Results:

  • SECI Model: Stands for Socialization, Externalization, Combination, and Internalization. It’s a model of knowledge creation that explains how tacit and explicit knowledge are converted into organizational knowledge.
  • Creators: Ikujiro Nonaka and Hirotaka Takeuchi.
  • Core Idea: Knowledge is created through a spiral process of converting tacit knowledge (personal, experiential) into explicit knowledge (codified, documented) and back again.
  • Four Modes of Knowledge Conversion:
    • Socialization (Tacit to Tacit): Sharing experiences and mental models through joint activities, like apprenticeships or brainstorming sessions.
    • Externalization (Tacit to Explicit): Articulating tacit knowledge into explicit forms, such as concepts, models, and documents.
    • Combination (Explicit to Explicit): Systematizing and combining different bodies of explicit knowledge.
    • Internalization (Explicit to Tacit): Embodying explicit knowledge into tacit knowledge, learning by doing.
  • ‘Ba’ (Place): The shared context in which knowledge is created, shared, and used. It can be a physical, virtual, or mental space.

Plan for the document sections:

  • Overview: Define SECI, its purpose, and its origin story (Nonaka & Takeuchi).
  • Core Principles: The four modes of knowledge conversion (SECI) and the concept of ‘Ba’.
  • Key Practices: Specific activities for each of the four modes.
  • Application Context: Where the SECI model is most effective.
  • Implementation: Steps to apply the model in an organization.
  • Evidence & Impact: Case studies and research on the model’s effectiveness.
  • Cognitive Era Considerations: How AI can enhance the SECI process.
  • Commons Alignment Assessment: Evaluate the model against the 7 dimensions.
  • Resources & References: Key books, articles, and tools.

Pattern Document Draft

Detailed Notes from ASCN Article:

  • Origin: Emerged from studies of successful innovation in Japanese companies in the 1980s and 1990s (Nonaka & Takeuchi, 1995).
  • Tacit Knowledge: “acquired with little or no direct instruction,” “practically useful,” and “cannot be fully articulated.”
  • Explicit Knowledge: Can be expressed in words or formulas and easily communicated.
  • Socialization: Spreading tacit knowledge through shared experience, such as spending time together, working in the same environment, and informal social meetings. Example: traditional apprenticeship.
  • Externalization: Articulating tacit knowledge into explicit knowledge. Example: employees making improvements on the manufacturing process by articulating tacit knowledge accumulated through experience on the job.
  • Combination: Converting explicit knowledge into more complex and systematic sets of explicit knowledge. Explicit knowledge is collected from inside or outside the organization and then combined, edited, or processed to form new knowledge.
  • Internalization: Converting explicit knowledge into tacit knowledge. Example: in training programs new employees can read about their jobs and the organization, and incorporate these ideas, through reflection, into their tacit knowledge base.
  • Assumptions:
    1. Knowledge creation is a key feature of organizational success that can lead to innovation and change.
    2. Knowledge creation is a social process that occurs through interactions and relationships among individuals.
    3. Knowledge creation is an ongoing process.
  • References to add to the list:
    • Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company: How Japanese companies create the dynamics of innovation. Oxford University Press: New York, NY.
    • Farnese, M. L., Barbieri, B., Chirumbolo, A., & Patriotta, G. (2019). Managing knowledge in organizations: A Nonaka’s SECI model operationalization. Frontiers in Psychology, 2730.
    • Henderson, C., Beach, A., & Finkelstein, N. (2011). Facilitating change in undergraduate STEM instructional practices: An analytic review of the literature. Journal of research in science teaching, 48(8), 952-984.
    • Nonaka, I., Toyama, R., & Konno, N. (2000). SECI, Ba and leadership: a unified model of dynamic knowledge creation. Long Range Planning, 33(1), 5-34.
    • Nonaka, I., & Von Krogh, G. (2009). Perspective—Tacit knowledge and knowledge conversion: Controversy and advancement in organizational knowledge creation theory. Organization Science, 20(3), 635-652.

      Insights from Wikipedia:

  • Alternative Name: Nonaka-Takeuchi model.
  • Knowledge Spiral: The four modes of knowledge conversion (SECI) form a spiral, which evolves continuously.
  • Concept of ‘Ba’: Nonaka and Konno introduced the concept of ‘Ba’, which translates to ‘place’. It’s a shared context (physical, virtual, or mental) where knowledge is shared, created, and utilized.
  • Criticisms:
    • The model is based on a study of Japanese organizations, which may not be generalizable.
    • The model is criticized for its linearity.
    • The starting point of the spiral (Socialization) is questioned.
    • The model doesn’t explain how new ideas and solutions are developed in practice.
  • Additional References:
    • Gourlay, Stephen (2006). “Conceptualizing Knowledge Creation: A Critique of Nonaka’s Theory”. Journal of Management Studies. 43 (7): 1415–1416, 1421.
    • Bereiter, Carl (2002). Education and mind in the knowledge age. Taylor & Francis Group. Francis Group. p. 177.

    177.

id: pat_01kg5023zwft8t7k63dsyf8r7x page_url: https://commons-os.github.io/patterns/domain/seci-model-knowledge-creation/ github_url: https://github.com/commons-os/patterns/blob/main/_patterns/seci-model-knowledge-creation.md slug: seci-model-knowledge-creation title: SECI Model of Knowledge Creation aliases: [Nonaka-Takeuchi Model, Knowledge Spiral Model] version: 1.0 created: 2026-01-28T00:00:00Z modified: 2026-01-28T00:00:00Z tags: universality: culture domain: domain category: methodology era: [digital, cognitive] origin: [academic, japanese-business] status: draft commons_alignment: 4 commons_domain: business generalizes_from: [] specializes_to: [“pat_01kg5023wtfe1t2fh8afp93rma”] enables: [] requires: [] related: [] contributors: [higgerix, cloudsters] sources: [] license: CC-BY-SA-4.0 attribution: Commons OS distributed by cloudsters, https://cloudsters.net repository: https://github.com/commons-os/patterns —

1. Overview

The SECI Model of Knowledge Creation, or the Nonaka-Takeuchi model, explains how organizations create and manage knowledge through the interplay of tacit (personal, intuitive) and explicit (formal, codified) knowledge. It addresses the challenge of converting tacit insights into explicit knowledge to foster innovation.

Developed by Ikujiro Nonaka and Hirotaka Takeuchi in the 1990s, the model stemmed from research on innovative Japanese firms. They found these companies were not just processing information but actively creating new knowledge. The SECI model’s four modes—Socialization, Externalization, Combination, and Internalization—provide a framework for this process.

2. Core Principles

The SECI model’s core principles describe the mechanisms of knowledge creation and conversion, providing a foundation for understanding how individual insights become organizational capabilities.

  1. Two Dimensions of Knowledge: The model distinguishes between tacit knowledge (personal, experiential, hard to articulate) and explicit knowledge (codified, formal, easy to communicate). Both are crucial and complementary, with new knowledge emerging from their interaction.

  2. The Knowledge Spiral: Knowledge is created via a continuous spiral of four conversion processes:

    • Socialization (Tacit to Tacit): This is the process of sharing tacit knowledge through direct social interaction and shared experiences. It involves creating a space where individuals can interact, observe, and imitate, thereby acquiring tacit knowledge without the use of language. Examples include apprenticeships, on-the-job training, and informal brainstorming sessions.

    • Externalization (Tacit to Explicit): This is the process of articulating tacit knowledge into explicit concepts. It is the critical moment where personal insights and intuitions are given form through metaphors, analogies, concepts, hypotheses, or models. This conversion is often triggered by dialogue and collective reflection.

    • Combination (Explicit to Explicit): This mode involves systematizing and combining different bodies of explicit knowledge. Individuals exchange and combine their explicit knowledge through documents, meetings, and communication networks. This process can lead to the creation of new knowledge by reconfiguring existing information, such as in a market research report that combines various data sources.

    • Internalization (Explicit to Tacit): This is the process of embodying explicit knowledge into tacit knowledge. When individuals internalize new explicit knowledge, it becomes part of their own tacit knowledge base, often through a process of “learning by doing.” This newly acquired tacit knowledge can then fuel a new cycle of the knowledge spiral.

  3. Knowledge Creation Requires a Shared Context, or ‘Ba’. Nonaka and Konno later introduced the concept of ‘Ba’, a Japanese word that roughly translates to “place” or “space.” ‘Ba’ is the shared context in which knowledge is created, shared, and utilized. It is not just a physical space but can also be a virtual space (e.g., an online forum) or a mental space (e.g., shared values and goals). ‘Ba’ provides the platform for the four knowledge conversion processes to occur, and different types of ‘Ba’ are suited to different stages of the knowledge spiral.

3. Key Practices

Implementing the SECI model involves adopting practices that facilitate the four knowledge conversion modes, creating an environment for knowledge to flow and transform into organizational assets.

  1. Knowledge Cafes (Socialization): Informal gatherings for sharing experiences and tacit knowledge, such as a developer’s weekly meeting to exchange coding tips.

  2. Storytelling (Externalization): Using stories and metaphors to articulate tacit knowledge, like a sales team sharing success stories to convey their understanding of customer needs.

  3. Wikis (Combination): Collaborative platforms like wikis allow for the combination of explicit knowledge, such as a team co-creating a project plan.

  4. Action Learning (Internalization): “Learning by doing” through practices like action learning and prototyping, where a design team, for example, builds prototypes to internalize user feedback.

  5. Mentoring and Apprenticeship Programs (Socialization). These traditional methods of knowledge transfer are highly effective for socializing tacit knowledge. By working closely with an experienced mentor or master, an apprentice can learn the subtle nuances of a craft or profession that are not written down in any manual. This is common in skilled trades, but can also be applied in professional services firms.

  6. After-Action Reviews (Externalization). After-action reviews (AARs) are structured debriefing sessions that are held after a project or event to capture lessons learned. By asking questions like “What was supposed to happen?”, “What actually happened?”, and “What can we learn from this?”, AARs help to externalize the tacit knowledge gained through experience. The military is a well-known user of AARs.

  7. Best Practice Databases and Knowledge Repositories (Combination). Organizations can create databases and repositories to store and share best practices, lessons learned, and other forms of explicit knowledge. This allows employees to easily access and combine existing knowledge to solve new problems. Many large consulting firms have extensive knowledge management systems for this purpose.

  8. Simulations and Role-Playing (Internalization). Simulations and role-playing exercises provide a safe environment for individuals to practice new skills and internalize explicit knowledge. By acting out different scenarios, employees can develop a deeper, more intuitive understanding of complex situations. For example, customer service representatives might use role-playing to internalize new customer service protocols.

4. Application Context

The SECI model’s effectiveness depends on the organization’s goals, culture, and environment.

Best Used For:

  • Fostering Innovation and New Product Development: The model is particularly well-suited for organizations that rely on continuous innovation to compete. By providing a framework for converting tacit insights into new products and services, it can help to accelerate the innovation cycle.
  • Improving Organizational Learning and Adaptability: In rapidly changing environments, the ability to learn and adapt is crucial. The SECI model provides a mechanism for capturing and disseminating lessons learned, enabling the organization to adapt more effectively to new challenges and opportunities.
  • Building a Knowledge-Sharing Culture: The model’s emphasis on social interaction and collaboration can help to break down knowledge silos and foster a culture of open communication and knowledge sharing.
  • Developing Professional Expertise and Talent: The SECI model can be used to design more effective training and development programs that combine formal instruction with hands-on experience, mentoring, and social learning.
  • Enhancing Strategic Decision-Making: By making the organization’s collective knowledge more explicit and accessible, the SECI model can provide decision-makers with a richer and more comprehensive understanding of the business environment, leading to better strategic choices.

Not Suitable For:

  • Highly Standardized and Repetitive Tasks: In environments where tasks are highly standardized and there is little room for variation or creativity, the overhead of implementing the SECI model may outweigh the benefits.
  • Organizations with a Command-and-Control Culture: The SECI model thrives on open communication, trust, and empowerment. In organizations with a rigid, top-down hierarchy and a culture of information hoarding, the model is unlikely to succeed.
  • Short-Term, Task-Focused Projects: While the SECI model can be applied at the project level, it is most effective when implemented as a long-term, strategic initiative. For short-term, task-focused projects, a more lightweight approach to knowledge management may be more appropriate.

Scale:

The SECI model is fractal and can be applied at multiple scales:

  • Individual: An individual can use the SECI process to reflect on their experiences and develop new skills.
  • Team: A project team can use the SECI model to collaborate on a new product or solve a complex problem.
  • Department: A department can use the model to improve its processes and share best practices.
  • Organization: An entire organization can adopt the SECI model as a strategic approach to knowledge management and innovation.
  • Multi-Organization/Ecosystem: The principles of the SECI model can also be applied to foster knowledge creation and collaboration across a network of organizations, such as in a supply chain or an industry consortium.

Domains:

The SECI model has been widely applied across a variety of industries and domains, including:

  • Manufacturing: Particularly in Japanese companies like Toyota, where it has been used to drive continuous improvement and innovation in production processes.
  • Technology and Software Development: In areas like Agile software development, which emphasizes collaboration, iterative learning, and the sharing of tacit knowledge.
  • Consulting and Professional Services: Where the ability to capture and leverage the expertise of consultants is a key competitive advantage.
  • Healthcare: To improve patient care by sharing best practices and lessons learned among medical professionals.
  • Education: To enhance teaching and learning by fostering collaboration and knowledge sharing among educators and students.
  • Public Sector: To improve policy-making and public services by making better use of organizational knowledge.

5. Implementation

Implementing the SECI model requires cultivating a knowledge-conducive environment through a strategic approach to culture, processes, and leadership.

Prerequisites:

  • Leadership Commitment: Successful implementation of the SECI model requires strong and visible commitment from senior leadership. Leaders must not only endorse the model but also actively participate in the knowledge creation process and champion a culture of openness and trust.
  • A Culture of Trust and Psychological Safety: Knowledge sharing, particularly the externalization of tacit knowledge, involves a degree of personal risk. Employees will only be willing to share their ideas and insights if they feel safe from ridicule or punishment. Therefore, a culture of trust and psychological safety is an essential prerequisite.
  • Basic Knowledge Management Infrastructure: While the SECI model is not primarily about technology, some basic knowledge management infrastructure is necessary to support the combination and internalization of explicit knowledge. This could include a company intranet, a document management system, and collaboration tools.
  • Cross-Functional Teams and Networks: The SECI model thrives on the interaction of diverse perspectives. Organizations should encourage the formation of cross-functional teams and networks that bring together individuals with different backgrounds, skills, and experiences.

Getting Started:

  1. Start with a Pilot Project: Rather than attempting a large-scale, organization-wide implementation, it is often more effective to start with a pilot project in a specific area of the business. This allows the organization to experiment with the SECI model, learn from its successes and failures, and build momentum for a broader rollout.
  2. Identify and Nurture ‘Ba’: Actively identify and create different types of ‘Ba’ (shared contexts) to support the four knowledge conversion modes. This could involve designing physical spaces that encourage informal interaction, launching virtual collaboration platforms, or creating dedicated time for team reflection.
  3. Train and Coach Employees: Provide training and coaching to help employees understand the principles of the SECI model and develop the skills needed to participate in the knowledge creation process. This could include training in storytelling, facilitation, and creative thinking.
  4. Recognize and Reward Knowledge Sharing: To encourage employees to participate in the knowledge creation process, it is important to recognize and reward knowledge sharing behaviors. This could include both formal rewards, such as bonuses and promotions, and informal recognition, such as public praise and acknowledgement.

Common Challenges:

  • Resistance to Change: Employees may be resistant to changing their work habits and adopting new ways of working. To overcome this challenge, it is important to communicate the benefits of the SECI model and involve employees in the design and implementation process.
  • Lack of Time: Employees may feel that they do not have enough time to participate in knowledge creation activities. To address this, organizations should integrate knowledge sharing into everyday work processes and provide dedicated time for reflection and collaboration.
  • Difficulty in Articulating Tacit Knowledge: Externalizing tacit knowledge can be a difficult and challenging process. To help employees articulate their tacit knowledge, organizations can use techniques such as storytelling, metaphor, and dialogue.
  • Measuring the ROI of Knowledge Management: It can be difficult to measure the return on investment (ROI) of knowledge management initiatives, which can make it challenging to secure ongoing funding and support. To address this, organizations should focus on measuring the impact of the SECI model on key business outcomes, such as innovation, customer satisfaction, and employee engagement.

Success Factors:

  • Strategic Alignment: The implementation of the SECI model should be closely aligned with the organization’s overall business strategy. The goals of the knowledge management initiative should be clearly linked to the goals of the business.
  • A “Middle-Up-Down” Management Model: Nonaka and Takeuchi argue that the most effective approach to knowledge creation is a “middle-up-down” management model, where middle managers play a key role in bridging the gap between the visionary ideas of top management and the pragmatic realities of the frontline.
  • A Focus on Continuous Improvement: The implementation of the SECI model should be seen as an ongoing process of learning and improvement. Organizations should regularly review their progress, solicit feedback from employees, and make adjustments as needed.

6. Evidence & Impact

The SECI model has been applied in many organizations, with evidence of its impact on innovation, learning, and performance.

Notable Adopters:

  • Toyota Motor Corporation: Often cited as a prime example of a knowledge-creating company, Toyota’s production system is deeply rooted in the principles of the SECI model. The company’s emphasis on continuous improvement (kaizen), teamwork, and on-the-job problem-solving fosters a culture of knowledge sharing and creation.
  • Honda: Another Japanese automotive giant, Honda, is known for its innovative product development processes, which are heavily influenced by the SECI model. The company encourages its engineers to engage in deep, reflective dialogue and to use metaphors and storytelling to externalize their tacit knowledge.
  • McKinsey & Company: The global consulting firm relies heavily on its ability to manage and leverage the knowledge of its consultants. McKinsey’s knowledge management systems and collaborative culture are designed to facilitate the sharing of both explicit and tacit knowledge across the organization.
  • NASA: The U.S. space agency has a long history of using knowledge management to learn from its successes and failures. NASA’s lessons-learned databases and after-action reviews are examples of how the agency captures and disseminates knowledge to improve safety and performance.
  • Siemens: The German multinational conglomerate has implemented a comprehensive knowledge management program that incorporates many of the principles of the SECI model. Siemens’ “ShareNet” platform, for example, is a global knowledge-sharing network that connects employees and facilitates the exchange of ideas and best practices.

Documented Outcomes:

The SECI model has been linked to positive outcomes such as:

  • Increased Innovation: By providing a framework for converting tacit insights into new products and services, the SECI model can help organizations to accelerate the innovation cycle and bring new ideas to market more quickly.
  • Improved Organizational Learning: The model’s emphasis on reflection, dialogue, and knowledge sharing can help organizations to learn more effectively from their experiences and to adapt more quickly to changing circumstances.
  • Enhanced Employee Engagement: By empowering employees to participate in the knowledge creation process, the SECI model can help to increase employee engagement and motivation.
  • Stronger Competitive Advantage: Ultimately, the ability to create and leverage knowledge is a key source of sustainable competitive advantage. By building a strong knowledge-creating capability, organizations can differentiate themselves from their competitors and achieve superior performance.

Research Support:

Academic research has both supported and critiqued the SECI model.

  • Empirical Studies: A number of empirical studies have found a positive correlation between the implementation of the SECI model and various measures of organizational performance, such as innovation, productivity, and financial performance.
  • Case Studies: Numerous case studies have documented the application of the SECI model in a wide range of organizations and industries, providing rich, qualitative evidence of its impact.
  • Theoretical Debates: The SECI model has also been the subject of considerable theoretical debate. Some scholars have criticized the model for its cultural bias and its lack of attention to the role of power and politics in organizational knowledge creation. Others have proposed extensions and refinements to the model to address these limitations.

7. Cognitive Era Considerations

The Cognitive Era, with its rise of AI and data analytics, presents new opportunities and challenges for the SECI model, reshaping its application and impact while its core principles remain relevant.

Cognitive Augmentation Potential:

AI and automation have the potential to significantly enhance each of the four knowledge conversion processes:

  • Socialization: AI-powered platforms can facilitate socialization by identifying and connecting individuals with shared interests and expertise, regardless of their physical location. Social network analysis can map informal knowledge flows and identify key influencers, helping to strengthen communities of practice.
  • Externalization: Natural language processing (NLP) and speech-to-text technologies can help to externalize tacit knowledge by capturing and transcribing conversations, meetings, and interviews. AI-powered tools can also assist in the creation of models and visualizations to articulate complex ideas.
  • Combination: Big data analytics and machine learning algorithms can be used to analyze vast amounts of explicit knowledge, identify patterns and relationships, and generate new insights. AI-powered knowledge graphs can help to organize and integrate knowledge from disparate sources, creating a more holistic and interconnected view of the organization’s knowledge assets.
  • Internalization: AI-powered learning platforms can create personalized learning experiences that help individuals to internalize new knowledge more effectively. Simulations and virtual reality environments can provide immersive, hands-on learning experiences that accelerate the development of tacit knowledge.

Human-Machine Balance:

Despite the power of AI, the human element remains at the heart of the SECI model. While AI can be a powerful tool for augmenting and accelerating the knowledge creation process, it cannot replace the uniquely human qualities of intuition, creativity, and empathy. The key to success in the Cognitive Era will be to find the right balance between human and machine, leveraging AI to automate routine tasks and augment human capabilities, while preserving the space for human interaction, reflection, and judgment.

Evolution Outlook:

In the Cognitive Era, the SECI model is likely to evolve in several ways:

  • From a Human-Centric to a Human-AI Collaborative Model: The model will increasingly need to account for the role of AI as an active participant in the knowledge creation process. This will require a new understanding of how humans and AI can collaborate effectively to create and share knowledge.
  • From a Focus on Internal Knowledge to a Focus on External Knowledge: In an increasingly interconnected world, organizations will need to become more adept at sourcing and integrating knowledge from external sources. The SECI model will need to be adapted to support the creation of knowledge in open, networked ecosystems.
  • From a Focus on Knowledge Management to a Focus on Knowledge Co-creation: The emphasis will shift from managing existing knowledge to creating new knowledge. This will require a more dynamic and emergent approach to knowledge management, one that is focused on fostering the conditions for continuous learning and innovation.

8. Commons Alignment Assessment (v2.0)

This assessment evaluates the pattern based on the Commons OS v2.0 framework, which focuses on the pattern’s ability to enable resilient collective value creation.

1. Stakeholder Architecture: The SECI model primarily defines rights and responsibilities for internal stakeholders like employees and managers, aiming to enhance organizational knowledge. It lacks a native framework for incorporating broader stakeholders such as the environment, community, or future generations, though it can be adapted to do so.

2. Value Creation Capability: The model is a powerful engine for creating knowledge value, which drives innovation and organizational performance. While this is a critical form of value, the model’s focus is not inherently on creating social, ecological, or resilience value beyond the direct interests of the organization.

3. Resilience & Adaptability: By fostering a continuous cycle of learning and knowledge conversion, the SECI model significantly enhances an organization’s ability to adapt to complexity and change. The process of turning tacit knowledge into explicit knowledge helps maintain coherence and builds a resilient knowledge base.

4. Ownership Architecture: The model does not prescribe a specific ownership architecture, so by default, the knowledge created falls under conventional intellectual property regimes where the organization is the owner. It does not explicitly define ownership in terms of rights and responsibilities beyond monetary equity, but it is compatible with alternative ownership models.

5. Design for Autonomy: The SECI model is compatible with decentralized systems, DAOs, and AI, as its framework for knowledge sharing can be implemented in distributed environments. The concept of ‘Ba’ as a shared context is well-suited for virtual and autonomous systems, although the socialization phase can introduce coordination overhead.

6. Composability & Interoperability: The model is highly composable and can be integrated with other patterns like Agile, Design Thinking, and Open Innovation. This allows it to be a core component in building larger, more complex systems for value creation, including knowledge commons.

7. Fractal Value Creation: The SECI model exhibits strong fractal properties, as its value-creation logic can be applied at multiple scales—from individuals and teams to entire organizations and inter-organizational networks. This scalability allows the pattern to be a foundational element in a multi-scale value creation architecture.

Overall Score: 4 (Value Creation Enabler)

Rationale: The SECI model is a powerful engine for knowledge creation, a fundamental form of value. It provides a robust framework for converting individual tacit knowledge into organizational explicit knowledge, fostering innovation and adaptability. While its original focus is on organizational benefit, its principles are highly adaptable and can be extended to a commons context. It strongly enables collective value creation, even if it doesn’t provide a complete architecture for it.

Opportunities for Improvement:

  • Explicitly broaden the stakeholder map to include non-human and future-generation stakeholders.
  • Integrate mechanisms for distributing the value created more equitably among all contributing stakeholders.
  • Develop explicit ownership and governance models for the knowledge commons created through the SECI process.

9. Resources & References

This section provides resources for further exploration of the SECI model and knowledge creation.

Essential Reading:

  • Nonaka, I., & Takeuchi, H. (1995). The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford University Press. This is the seminal work that introduced the SECI model. It provides a rich and detailed account of the authors’ research and theory, with numerous case studies of Japanese companies.
  • Nonaka, I., Toyama, R., & Konno, N. (2000). SECI, Ba and leadership: a unified model of dynamic knowledge creation. Long Range Planning, 33(1), 5-34. This article provides a concise overview of the SECI model and introduces the concept of ‘Ba’. It is an excellent starting point for those who are new to the model.
  • 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. This book provides practical guidance on how to apply the principles of the SECI model in organizations. It offers a wealth of tools and techniques for fostering a knowledge-creating culture.

Organizations & Communities:

  • Knowledge Management Global Network (KMGN): A global network of knowledge management professionals that provides a forum for sharing best practices and advancing the field of knowledge management.
  • APQC (American Productivity & Quality Center): A non-profit organization that provides research, benchmarking, and best practices in knowledge management and other areas of business performance.

Tools & Platforms:

While the SECI model is not primarily about technology, a number of tools and platforms can be used to support the knowledge creation process:

  • Collaboration Platforms (e.g., Slack, Microsoft Teams): These tools can facilitate communication and collaboration, particularly for the Combination mode of knowledge conversion.
  • Wikis and Knowledge Bases (e.g., Confluence, Guru): These platforms can be used to create shared knowledge repositories for the Combination and Internalization modes.
  • Innovation Management Software (e.g., Brightidea, Spigit): These tools can be used to manage the innovation process, from idea generation to implementation, and can support all four modes of the SECI model.

References:

[1] Nonaka, I., & Takeuchi, H. (1995). The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford University Press.

[2] Nonaka, I., Toyama, R., & Konno, N. (2000). SECI, Ba and leadership: a unified model of dynamic knowledge creation. Long Range Planning, 33(1), 5-34.

[3] Farnese, M. L., Barbieri, B., Chirumbolo, A., & Patriotta, G. (2019). Managing knowledge in organizations: A Nonaka’s SECI model operationalization. Frontiers in Psychology, 2730.

[4] Gourlay, S. (2006). Conceptualizing Knowledge Creation: A Critique of Nonaka’s Theory. Journal of Management Studies, 43(7), 1415-1436.

[5] Nonaka, I., & Von Krogh, G. (2009). Perspective—Tacit knowledge and knowledge conversion: Controversy and advancement in organizational knowledge creation theory. Organization Science, 20(3), 635-652.