MIS580: Knowledge Management APRIL 9TH , 2008 Abhijit Kumar Kaijia Bao Vishal Rupani Reading 7 The role of tacit knowledge in group innovation. Leonard, D. California Management Review, 1998. by Abhijit Kumar Introduction Relevance Content Additional research Discussion What is Tacit Knowledge? Information that is relevant, actionable and based at least partially on experience. Explicit elements are objective, rational, and created in the "then and there" Tacit elements are subjective, experiential, and created in the "here and now” Knowledge Spectrum1 1Michael Polanyi's original messier assumption Knowledge Spiral COMBINATION SOCIALIZATION EXPLICIT INTERNALIZATION TACIT EXTERNALIZATION Concept explained by Ikujiro Nonaka and Hirotaka Takeuchi Relevance: Tacit Knowledge Problem Solving Mind pattern from experience Problem Finding Allows rejection of the “usual” solution Overlay to quickly detect solution Prediction & Anticipation Anticipate & Predict occurrences “hunch” Being Tacit: Individuals or Group? Learning Implicit Much research focused on individuals Single mind is primary interest However, innovation is a group process Do “creatives” bloom in isolation? ? Interaction essential Awareness of social impact of ideas Nature of Innovation DIVERGE CONVERGE Divergent Thinking Convergent Thinking Testing Development Idea Generation Shipping/ Adopting Sales/ Implementation After Sales Service Divergence in Innovation Why Tacit Knowledge? Intellectually heterogeneous or homogeneous ? Experience leads to Expertise (Tacit) Interactions “Creative Abrasions” ? Explicit statements carry “weight” Insights, Intuitions, Inspiration Innovation Apple’s Innovation Process 10 3 1 Pixel Perfect Mockups Paired Design Meetings Managing Divergence Pony (The Concept) Apple's design process Posted by: Helen Walters on March 08, Business Week Convergence in Innovation Overlapping specific knowledge Observations & Apprenticeships “Art” Collective tacit knowledge Guiding Tacit Knowledge ? Innovation Tacit Barriers: Tacit Knowledge Stimulating divergent thinking Converging towards a common aim Lack of mentoring Inequality among participants Explicit form of tacit knowledge disregarded ? Creative abrasion needs subtle diversity Distance (time and location) Insight: Ageing Workforce Knowledge Transfer Practices Knowledge Recovery Initiatives - Using retirees - Outsourcing - Regenerating KNOWLEDGE RETENTION STRATEGY Human Resources Processes - Documentation/ Training - Mentoring - Interviews / Reviews/ Debriefing Using IT Applications - Connecting People - Knowledge Mapping - Capturing Knowledge -Succession planning - Evaluating skill bases - Retention culture Lost Knowledge: Confronting the Threat of an Aging Workforce: David W. Delong Managerial Implications Managing Divergence Brainstorming: Intuitive & Analytical Level of divergent thinking Varying tacit knowledge bases Managing chaos Depersonalizing conflict Managing Convergence Guiding visions & Shared experiences Assessment IDEO: Shopping Cart Reading 8 The Concept of “Ba”: Building a Foundation for Knowledge Creation Ikujiro Nonaka, California Management Review, Spring 1998. by Vishal Rupani Introduction Conversion Models Characteristics of Ba Case Examples Additional Research Introduction Ba: Japanese concept means "place" or "interaction field” Ba is a shared space that serves as a foundation for knowledge creation Physical – office, playground Virtual – email, videoconference Mental – shared experiences, ideas What differentiates Ba from ordinary human interaction is the concept of knowledge creation Introduction If knowledge is separated from Ba, it turns into information Ba provides a platform for advancing individual and/or collective knowledge at a specific time in a specific place It is the platform for the resource concentration of the organization's knowledge assets and the intellectualizing capabilities Knowledge Conversion Modes – SECI Model Tacit Knowledge Tacit Knowledge Tacit Knowledge Socialization Externalization Explicit Knowledge Tacit Knowledge Internalization Combination Explicit Knowledge Explicit Knowledge Explicit Knowledge Knowledge Conversion Modes – SECI Model Tacit Tacit Tacit Explicit Explicit Explicit Socialization Externalization Combination • Share tacit knowledge among individuals • E.g. Face to face interaction • Formulate techniques to articulate tactic knowledge • Combine internal and external knowledge • E.g. Use of metaphors, analogies • E.g. product reports, market data Explicit Tacit Internalization • Embody explicit knowledge to become part of individuals knowledge base • E.g. learning by doing Four Characteristics of Ba Socialization Externalization face-to-face peer-to-peer Originating Ba Interacting Ba group-togroup on-the-site Exercising Ba Internalization Cyber Ba Combination Four Characteristics of Ba ORIGINATING BA INTERACTING BA Place where individuals share feelings, emotions, experiences Place where dialogue and metaphors help transform tacit knowledge EXERCISING BA CYBER BA Place to continuously learn by self-refinement Place of interaction in the virtual world through use of technology Creating Ba: Case Examples Ba Name: Role: Organization Design: Location: Urgent Projects To expedite new technology/ product development Existing structure Outside of the existing business organization Creating Ba: Case Examples Ba Name: Role: Organization Design: Location: Advanced I Strategy (ADI) Group Identify new market opportunities Existing structure Inside the existing business organization Creating Ba: Case Examples Ba Name: Role: Organization Design: Location: Independent Corporations Serve unique market niches New structure Inside each independent corporation Management for Knowledge Creation Top management is the provider of “Ba” for knowledge creation Leaders must support emerging processes with visionary proposals and personal commitment Management must realize that knowledge needs to be nurtured, supported, enhanced and cared for Additional Research Learning and the ‘Ba’ in the Development Network of an Urban Region1 In order for an urban region to learn and develop, it is necessary for its development network to learn This article presents some potential ba for the development network including practical examples from Tampere Urban Region (located in Finland) 1 Juha Kostiainen, European Planning Studies, Vol 10, No 5, 2002 Additional Research The structure and main actors of the development network in Tampere1 1 Juha Kostiainen, European Planning Studies, Vol 10, No 5, 2002 Additional Research ORIGINATING BA INTERACTING BA • Expert exchange among developing organizations • Sauna evenings • Learning cafe • Common sports and cultural events • Discussion forums, also virtual ones • Media • Thematic meetings • Plays, stories, tales CYBER BA EXERCISING BA • Common learning programs of the developing network • Mentored projects • On-the-job learning • Learning by doing • Research and reports • Utilizing and connecting of outside experts • Virtual communities like CityWeb • Thematic summary reports The potential Ba in the development network of an urban region1 1 Juha Kostiainen, European Planning Studies, Vol 10, No 5, 2002 Summary Ba: Knowledge creation occurs through interaction among individuals or between individuals and their environment Four types of Ba correspond to four stages of the SECI Model Top management support is essential for knowledge creation Discussion Do you think the concept of Ba can be extended to fields such as biotechnology for sharing and creating knowledge among scientists? What will be the implications on the IP? The article primarily used 3 examples of companies in Japan that created a knowledge platform using Ba. Are you aware of any other companies that do the same? Reading 9 If only we knew what we know: Identification and transfer of internal best practices - O’Dell, C. California Management Review, 1998. by Kaijia Bao Introduction Growing Interests Challenges & Approaches Summary Additional Research Introduction American Productivity & Quality Center C. Jackson Grayson, Jr. Founder and Chairman Dr. Carla O’Dell President APQC is a non-profit research organization that helps companies identify best practices, discover improvement methods and disseminate findings.1 1 APQC. (2008). About Us. Retrieved from American Productivity & Quality Outline Why the interest in knowledge transfer? Why is knowledge transfer so difficult? The 4 approaches to knowledge transfer? Creating the environment for knowledge transfer Summary: 7 keys to effective knowledge transfer Growing Interests Demonstrated success TI was able to create extra capacity equivalent of 2 new facilities from existing fabrication plants. Saving $500-800 million for each new plant. Chevron was able to generate $650 million in savings by sharing best practices among business units. Recognition of Potential Gain Benchmarking Evidence Growing Interests Compelling call to action Chevron's initiatives was driven by its leaders “we have to share more, we have to share faster” (Ken Derr, CEO) TI’s initiative was driven by its key customers, who threatened to leave if TI didn’t improve. Decentralization and downsizing Destroyed traditional knowledge network Difficulties and Challenges APQC 1994: Barriers to Knowledge Transfer Ignorance Source doesn’t know their knowledge is required Recipient doesn’t know the knowledge is out there Absorptive capacity The ability (skills + resources) of the recipient to implement the knowledge into action Long transfer time – 27 months on average Organization and Challenges Bao’s Incorporated Vishal Abhijit Vishal Division Promotes “silo” behavior Sub-optimization Abhijit Division Reduces Position A Position B Contact Relationship Common perspectives Organizational Challenges Value personal expertise over knowledge sharing Over-reliance on transmitting “explicit” knowledge: 80% of the knowledge are “tacit” Not rewarding people to learn and share Earlier Approaches Functional review, internal conferences, R&D experts to try to identify and transfer knowledge. “HOWEVER, historically most effective way of ? transferring knowledge is the actual transfer of personnel.” Author’s 4 Approaches Benchmarking Teams Best Practice Teams Knowledge and Practice Networks Internal Assessment and Audit Benchmarking Teams Temporary teams formed to search for best practices both in and out of the firms for a specific problem. Example: TI began by searching for external solutions, but found that TI’s plant in Texas out performed all external solutions. Best Practice Teams On going teams composed of cross functional managers to continuously look for better practices relating to a specific business area. Example: Chevron identified 6 areas of improvement and assigned a team for each area that led to $650 millions in saving. Internal Assessment and Audit Leverage the functionality of existing internal audit / assessment team to include knowledge transfer. Example: Team C at Xerox Knowledge and Practice Networks Grass-root knowledge transfer No formal network or support Organization need to create environment and communication infrastructure Example: Chevron’s Best Practice Resource Map Creating the Environment All approaches needs a supportive company environment to thrive: • Technology • Cultural Factors • Senior Leadership • Measurement Technology Technology is neither a barrier nor an incentive for knowledge sharing. It is simply a tool. (i.e. Lotus Notes, emails, etc) Issues to consider: ? Important information is too complex and too experiential to be captured electronically. Entering information into system must be someone’s job. Framework to classify information Cultural American school stress individuality and ? competition, not collaboration and sharing Rewards: Rewards is useful early, to build enthusiasm In the long run, the reward should be intrinsic Embed knowledge transfer into employee’s work method and professional development system Senior Leadership Not essential to support in the early stages Do not squash pockets of innovation BUT, management must be supportive if change is to occur across the organization Measurement Good for developing a business case Cannot help business units to see how to achieve better results Metrics alone does not indicate better practice Too much measurement can lead to internal competition and reduce knowledge transfer Summary: Seven Keys to Transfer 1. Use benchmarking to identify areas for change 2. Focus efforts on critical business areas 3. Ensure adequate resources 4. Do not over measure 5. Tailor reward systems to encourage sharing 6. Use technology as a tool, not as a solution 7. Leaders must take an active role in knowledge sharing Additional Research The Role of Evolving Technologies: Accelerating Collaboration and Knowledge Transfer. 2007. Carla O’Dell, Jim Lee Web 2.0 and Knowledge Management. 2008. Carla O’Dell. Study on transition from Web 2.0 to Enterprise 2.0 Key Findings For the new generation, face-to-face is no longer necessary Web 2.0 can simulate intimate and tactile dimension found in face-to-face meetings Top enterprise 2.0 applications Wikis: Diplopedia (State Department) Blogs: Employee blogs (HP) Social networking: Accenture People (Accenture) Benefits of Enterprise 2.0 User-driven Easy to use Low cost and open source Spontaneous and selforganizing A lot more “fun” than standard corporate applications ?