Harvard Business Review on Knowledge Management

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Presentation transcript:

Harvard Business Review on Knowledge Management Osama Solieman 2nd Year MIS Masters Student

Chapters 1-3 The Coming of the New Organization Peter F. Drucker, 1988 The Knowledge Creating Company Ikujiro Nonaka, 1991 Building a Learning Organization David A. Garvin, 1993

The Coming of the New Organization Peter F. Drucker, 1988

Major Evolutions in Organizational Structure 1st Evolution (1895-1905): Management vs. Ownership 2nd Evolution (20 years later): Command & Control Organization Focus on Decentralization and Personnel Management 3rd Evolution: Shift to “Information-based Organization” “The managerial challenge of the future” (p. 19)

What is the Information-based Organization? Knowledge-based Composed of specialists -- “knowledge workers” Self-Discipline (i.e. self-management) Based on feedback from colleagues, customers, and headquarters.

Information-based Organization Structure Flat Structure Central Operation has few specialists Legal council, PR, Labor Relations Knowledge is at bottom of organization “in the minds of the specialists who do work and direct themselves.” (p.6) Task-focused teams Departments guard standards, train, and assign specialists

Ex: Hospitals and Symphony Orchestra Several hundred physicians and 60 medical experts Head of each specialty = expert Work done in ad-hoc teams Symphony Orchestra Few hundred musicians = “specialists” Conductor = CEO Musicians report directly to conductor

Why do they work? Information-based Organizations need “clear, simple, common objectives that translate into particular actions” Conductor and musicians have same “score” Specialists in hospital share same mission Knowledge workers cannot be told how to do their work Their abilities need to be focused by leadership

Management Problems Developing rewards, recognition, and career opportunities for specialists Creating unified vision in an organization of specialists Devising the management structure for an organization of task forces Ensuring the supply, preparation, and testing of top management people

Opportunities for Specialists Limited advancement options Movement within specialty Few middle-management positions Current compensation structures favor management titles and positions

Common Vision Need “view of the whole” among specialists Foster the pride and professionalism of specialists

Management Structure and Task Forces Who are the managers? Specialist structure vs. Administrative structure Role of task force leader risky and controversial

Supply and Preparation of Top Management No longer have large pool of middle-managers to choose from. Hiring away top management from smaller companies Top management as a separate career Conductors and hospital administrators

The Knowledge Creating Company Ikujiro Nonaka, 1991

What is a Knowledge-Creating Company? Knowledge is the only sure source of competitive advantage Successful companies are able to: Consistently create new knowledge Spread it throughout organization Manifest it into new technologies and products

Cultural Differences Western View: Japanese View: Organization is “a machine for information processing” Useful knowledge is: Formal and systematic Quantifiable (“hard”) Easily measurable Japanese View: Use of slogans Tacit insights, intuitions, and hunches of employees Company is not a machine but a living organism “Everyone is a knowledge worker”

Spiral of Knowledge New knowledge begins with individuals Personal knowledge  organizational knowledge Ex: Matsushita Electric Company (1985) Developing new home bread-making machine Trouble with kneading process Software Developer apprenticed herself with Osaka International Hotel Developed product specs to reproduce kneading technique

Patterns for Creating Knowledge Tacit to Tacit (Socialization) Cannot be leveraged by organization as a whole Explicit to Explicit (Combination) Does not extend company’s existing knowledge base Tacit to Explicit (Articulation) Explicit to Tacit (Internalization)

Use of Figurative Language Figurative language and symbolism help articulate intuitions and insights Japanese companies use figurative language at all levels of the organization and in all stages of product development

Ex: Honda (1978) “Let’s Gamble” slogan New product team of young engineers and designers Team leader developed “Theory of Automobile Evolution” slogan Led to another slogan “Man-maximum, machine-minimum” Led to the design of the Honda City Revolutionary new design

Types of Figurative Language Metaphor: Fosters commitment to creative process early Multiple meanings Appear logically contradictory Analogy: Clarifies how two ideas in one phrase are similar / dissimilar Harmonization of contradictions Model Creation: Creation of actual model Contradictions resolved and concepts become transferable

Organizational Structure Redundancy Shared responsibilities Spreads new explicit knowledge throughout org Encourages communication Ex: Canon Strategic Rotation Employees understand business from multiple perspectives

Organizational Roles Front-line Employees: Senior Executives: Day-to-day details (“What is”) Get caught up in own narrow perspective Senior Executives: Organizational ideal (“What ought to be”) Give business a sense of direction (“conceptual umbrella”) Middle Management: Bridge between visionary ideals of the top and chaotic reality of front line “Knowledge Engineers”

Building a Learning Organization David A. Garvin, 1993

Three Ms Meaning Management Measurement Clear definition Operational advice Measurement Tools for assessing rate and level of organizational learning

What is a Learning Organization? “A learning organization is an organization skilled at creating, acquiring, and transferring knowledge, and at modifying its behavior to reflect new knowledge and insights” (p. 51)

Building Blocks Learning organizations need to be skilled in five main activities: Systematic Problem Solving Experimentation with new approaches Learning from own experiences and history Learning from others Transferring knowledge quickly and efficiently

Systematic Problem Solving Reliance on scientific method Data vs. Gut feelings Statistical Tools

Experimentation Systematic searching for and testing of new knowledge Ongoing Programs: Continuous experiments w/ incremental gains Require incentive system encouraging risk-taking Demonstration Projects: Larger and more complex Develop new organizational capabilities Knowing why things occur, not just how

Learning from Past Experience Review successes and failures Knowledge from failures often leads to future successes Make lessons learned available to employees Case studies and post-project reviews are cheap

Learning from Others Benchmarking Customers Receptiveness to criticism Analysis and implementation of best-practices Disciplined process (Not “industrial tourism”) Customers Up-to-date product information Competitive comparisons Immediate feedback about service Receptiveness to criticism

Transferring Knowledge Knowledge must spread quickly and efficiently throughout organization Written, oral, and visual reports Site visits and tours Personnel rotation programs Education and training programs Standardization programs Training programs need to be linked to action

Measuring Learning “If you can’t measure it, you can’t manage it” Tools: “Half-life” curves (p.73) Surveys, questionnaires, and interviews Direct Observation Ex: Domino’s Pizza

First Steps Learning organizations take time to build First step to foster environment conducive to learning Free up employee time Training in brainstorming, problem solving, etc. Removal of organizational boundaries (conferences, meetings, and project teams) Focus on the “three Ms”

Observations and Analysis

Common Theme Knowledge management is about people not technology Drucker: Specialists are “knowledge workers” Nonaka: Individuals create new knowledge Garvin: People need right tools to foster knowledge creation and management

Dissemination of Knowledge throughout Organization Drucker Each specialist is concerned with their own knowledge and expertise Managing Knowledge Means Managing Oneself, 2000 Nonaka Personal knowledge needs to be transferred into organizational knowledge Redundancy and Strategic Rotation Garvin Transfer of knowledge in organization needs to be fast and efficient (Personnel Rotation)

Role of Middle Management Drucker Few, if any, middle managers are needed Serve merely as “relays” of information Nonaka Middle managers = “Knowledge Engineers” Bridge between vision of top and reality of bottom Garvin Five activities Measuring learning

Paper Critiques Drucker and Nonaka Garvin Philosophical and high-level Idyllic Do not address certain issues Garvin Presents different approaches and tools that can be implemented Does not claim to know all the answers

Alternative Resources Counter-Opinion to Drucker on Middle Management: Middle Managers are Back -- Carolyn R. Farquhar, 1998 Article about KM and the “Learning Organization” Knowledge Management and the Learning Organization Converge – Charles H. Bixler, 2002

Q&A