Proposition 30
Notions of Knowledge Management
In a Word Knowledge management is getting the right knowledge to the right
people at the right time, and helping them (with incentives) to apply it in ways that
strive to improve organizational performance.
What Is Knowledge?
Data are facts, and information is interpreted data. Knowledge is created and
organized by flows of information, shaped by their holder. It is tacit or explicit.
Tacit knowledge is nonverbalized, intuitive, and unarticulated knowledge that
people carry in their heads. It is hard to formalize and communicate because it is
rooted in skills, experiences, insight, intuition, and judgment, but it can be shared in
discussion, storytelling, and personal interactions. It has a technical dimension,
which encompasses skills and capabilities referred to as know-how. It has a cognitive dimension, which consists of beliefs, ideals, values, schemata, or mental
models. Explicit knowledge is codified knowledge that can be expressed in writing,
© Asian Development Bank 2017
O. Serrat, Knowledge Solutions, DOI 10.1007/978-981-10-0983-9_30
291
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Notions of Knowledge Management
Fig. 30.1 Knowledge assets. Source Author
drawings, or computer programs, for example, and transmitted in various forms.
Tacit knowledge and explicit knowledge are mutually complementary forms of
meaning. Figure 30.1 exemplifies the iceberg metaphor used to describe the hidden
nature of tacit knowledge.
Model of Learning Progression
Forms of meaning such as data and information are more rudimentary than
knowledge. Knowledge is more rudimentary than wisdom. Data and information
are associated with forms of knowing that are specific and limited. Knowledge is
systemic and integrates reason, values, intellect, and intuition. The typical model of
learning progression locates knowledge in relation to other forms of meaning.
Figure 30.2 describes stages in human learning.
Data
Information
Know What
Knowledge
Wisdom
Know How
Know Why
Reductionist
Fig. 30.2 Model of learning progression. Source Author
Systemic
Knowledge Agents
293
Knowledge Agents
Most models of knowledge management assume four agents of knowledge, namely
the individual, the group, the organization, and the inter-organizational domain.
They view knowledge and its creation as a spiral process from the individual to the
group, the organization, and sometimes the inter-organizational domain. Figure 30.3
shows that each agent holds distinct forms of knowledge and performs work that the
others cannot. Figure 30.4 reveals how knowledge is generated by interplay.
Individual
Group
IntraOrganizational
Domain
InterOrganizational
Domain
IntraOrganizational
Domain
InterOrganizational
Domain
Data
Information
Knowledge
Wisdom
Fig. 30.3 Knowledge agents. Source Author
Tacit
Knowledge
Explicit
Knowledge
Individual
Group
Cross-cultural
negotiation
skills
Team work in
complex
situations
Corporate
culture
Knowing
arithmetics
Documentation
s on
performance
Organization
chart
Fig. 30.4 Knowledge management model. Source Author
Client
expectations
vis-à-vis
products and service
Patents and
documented
practices
294
30
Notions of Knowledge Management
Modes of Knowledge Creation
In large organizations, knowledge is created through continuous dialogue on tacit
and explicit knowledge via four patterns of interactions: (i) socialization, (ii) externalization, (iii) combination, and (iv) internalization.
Figure 30.5 frames the process of knowledge creation. Socialization is the
process of creating common tacit knowledge through interactions including
observation, imitation, or apprenticeships. Externalization is the process of articulating tacit knowledge into explicit knowledge by means of metaphors, analogies,
or sketches. Combination is the process of assembling new and existing explicit
knowledge into systemic knowledge such as a set of specifications for the prototype
of a new product. Combination involves combining explicit knowledge through
meetings and conversations or using information systems. Internalization converts
explicit knowledge into tacit knowledge. Externalization converts tacit knowledge
into explicit knowledge.
There are five conditions to encouraging the process of knowledge creation:
(i) intention, (ii) autonomy, (iii) creative chaos, (iv) redundancy, and (v) requisite
variety. Managers must be committed to accumulating, exploiting, and renewing
the knowledge base within the organization and be able to create management
systems that will facilitate the process. New ideas usually develop at the individual
level, rather than at the group or organization levels, and the individuals generating
it must be given scope to follow their initiatives. This process of exploration can be
encouraged by creative chaos, where flux and crisis cause people to reconsider
precepts at a fundamental level. Incentives can then be given to exchange knowledge rather than ration or hoard it. The organization should be made to be conducive to this.
Knowledge Management
Level
Knowledge
Management
Actions
Status
Results
Knowledge Object
Level
Fig. 30.5 Levels in knowledge management. Source Author
Knowledge Management Levels
295
Knowledge Management Levels
Management implies a set of activities directed at an object. Figure 30.5 defines
two aspects of knowledge management: a knowledge management level dealing
with a knowledge object level.
If knowledge is an organizational asset, as resource-based views of organizations
suggest, its management will need to live up to objectives that are common to all
resources. Typically, these objectives endeavor to make sure that the resource is
(i) delivered at the right time, (ii) available at the right place, (iii) present in the right
shape, (iv) obtained at the lowest possible cost, and (v) of the required quality. Apart
from the question of how to achieve this, it must be understood that knowledge does
have properties that set it apart from other resources. It is intangible and difficult to
measure, volatile, and embodied in agents with wills. It is not consumed in a process;
conversely, it can increase with use. It cannot always be bought on the market; on the
contrary, its development can require lead time. It is nonrival in that it can be used by
different processes simultaneously. And, its use can have wide-ranging impacts.
Knowledge Management Architecture
The architecture of knowledge management must be strengthened in support of
organization-wide initiatives. Stankosky (2000) has identified its four pillars to be
leadership, organization, technology, and learning. Figure 30.6 exemplifies the
need to seek balanced interconnectivity.
Leadership
Technology
Organization
Learning
Fig. 30.6 Balanced knowledge management. Source Author
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Notions of Knowledge Management
Leadership
Leadership develops the strategies necessary to position for success in an environment. Those strategies determine vision and must align knowledge management
with business tactics to drive the values of knowledge management throughout the
organization. Focus must be placed on building executive support. Successful
implementation of a knowledge management strategy requires champions at or near
the top of an organization.
Organization
Respect for knowledge must pervade an organization. Introducing knowledge
management requires organizational change, and knowledge management inevitably acts as a catalyst to transform the organization’s culture. The increasing value
placed on capable people, rising job complexity, and the universal availability of
information on the Internet are fundamental changes contributing to attempts to
leverage knowledge management solutions. To begin to change an organization,
knowledge management must be integrated into business processes and connected
to changes in organizational culture.
Technology
Knowledge management tools are essential to achieving knowledge management
strategies. However, any technical solution must add value to the process and
achieve measurable improvements. Properly assessing and defining information
technology capabilities is essential, as is identifying and deploying best-of-breed
knowledge management tools to match and align with the organization’s requirements. Ten processes that must be built collectively make up full-function
knowledge management: (i) capture and store, (ii) search and retrieve, (iii) send
critical information to individuals or groups, (iv) structure and navigate, (v) share
and collaborate, (vi) synthesize, (vii) profile and personalize, (viii) solve or recommend, (ix) integrate, and (x) maintain.
Learning
People are responsible for using knowledge management tools in support of
organizational performance. Organizational learning must be addressed with
approaches such as increasing internal communications, promoting cross-functional
Knowledge Management Architecture
297
teams, and creating a learning community. Learning is an integral part of knowledge management. In this context, learning can be described as the acquisition of
knowledge or a skill through study, experience, or instruction. Organizations must
recognize that people operate and communicate through learning that includes the
social processes of collaborating, sharing knowledge, and building on each other’s
ideas. Managers must recognize that knowledge resides in people and that
knowledge creation occurs through the process of social interaction.
Core Knowledge Activities
Knowledge management activities can be described in relation to many different
disciplines and approaches but almost all focus on five basic activities: (i) identify,
(ii) create, (iii) store, (iv) share, and (v) use. Figure 30.7 interprets the routine
associated with core knowledge activities.
Knowledge Management Activities
Treating knowledge as a resource opens up promising opportunities for knowledge
management activities. These can be split into four categories, each impacting a
particular time segment of the knowledge management cycle. They relate to
(i) reviewing, (ii) conceptualizing, (iii) reflecting, and (iv) acting.
Reviewing involves checking what has been achieved in the past and what the
current state of affairs is. Conceptualizing entails sitting back, trying to grasp the
state of knowledge in the organization, and analyzing the strong and weak points of
Identify
Inventory all
people and
system-based
knowledge
assets.
Create
Gather
knowledge
assets from
people or
systems that
hold it.
Store
Organize
knowledge
assets into
codifiable and
noncodifiable
categories.
Fig. 30.7 Core knowledge activities. Source Author
Share
Pass the
knowledge
assets
between
people or
systems.
Use
Use or share
the
knowledge
assets for
benefit.
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Notions of Knowledge Management
its knowledge architecture. Reflecting calls for directing toward improvements by
selecting the optimal plans for correcting bottlenecks and analyzing them for risks
that might accompany their implementation. Acting is the actual effectuation of the
plans selected.
Most of the time, the actions will be one or a combination of generic operations
that involve (i) developing knowledge, i.e., buying knowledge, establishing
learning programs; (ii) distributing knowledge, i.e., channeling knowledge to the
points of action, preparing manuals, connecting networks; (iii) combining knowledge, i.e., finding synergies, reusing existing knowledge; and (iv) consolidating
knowledge, i.e., preventing knowledge from disappearing, instituting tutoring
programs, establishing knowledge transfer programs.
Cultural Roadblocks to Knowledge Management Success
Culture has been characterized as the glue that holds organizations together. It can,
for instance, be a critical success factor in the execution of strategy. It can play a
crucial role in determining the success or failure of operations. At the micro level,
there are close relationships between organizational culture, employee satisfaction,
and job commitment and turnover. As one might expect, organizational culture
plays a pivotal role in knowledge management.
Organizational culture is shaped by many factors, some of which can be changed
while others are intractable. Organizations adapt to their external environments by
designing responsive structures and systems, adopting relevant technologies, and
harvesting appropriate skills and qualities. Though constrained by their external
environments, organizations make choices that, collectively, eventually define their
cultures. These choices are influenced by the mission, values, and norms of each
organization and the assumptions of its leaders. In due course, the choices will also
define the success or failure of knowledge management initiatives. Thus, knowledge is inextricably bound to human cognition, and its management will occur
within a structured psychological and social context. Figure 30.8 juxtaposes the
psychological and social barriers that impact knowledge sharing.
Psychological Factors
• Reciprocity
• Repute
• Altruism
Knowledge Sharing
Fig. 30.8 Barriers affecting knowledge sharing. Source Author
Social Factors
• Organizational
Culture
• Social Networks
Psychological Factors
299
Psychological Factors
Knowledge represents a source of power to people. By sharing valuable knowledge
with a colleague, one runs the risk of diminishing one’s value in an organization;
potentially, one is no longer indispensable. There are three conditions under which,
as an employee, one will share knowledge: (i) reciprocity, (ii) repute, and (iii) altruism. One’s time and energy are finite and one will more often than not take the
time to help a colleague if one is likely to receive valuable knowledge in return,
either now or in the future. In addition, it is in one’s interest to be viewed as an
expert in an organization; if one does not have a reputation for expertise, one’s
knowledge cannot represent a source of power. Likewise, before sharing, one needs
to be certain that colleagues will acknowledge the source of knowledge and will not
claim credit for it. But, in a process akin to self-gratification, there is also the need
to talk to others about subjects that one finds fascinating and important.
Following resource-based views of organizations, which identify knowledge as
potentially the primary source of sustainable competitive advantage, one can
imagine that there are internal markets for knowledge within organizations.
Knowledge is exchanged between buyers and sellers, with reciprocity, repute, and
altruism functioning as payment mechanisms. Trust, however, is an essential
condition to the smooth functioning of such a market. This trust can exist at an
individual level, through close working relationships between colleagues, or at
group and organization levels, by the creation of a cultural context that encourages
and rewards knowledge sharing and discourages and penalizes knowledge
hoarding.
Social Factors
Organizational culture, and the social networks that frame it, is the most frequently
cited roadblock to knowledge management success. Based on understanding of
psychological factors, the onus is on leadership to drive people-focused knowledge
management and move from old to new knowledge management paradigms. People
are more likely to understand and energetically support an initiative when they
observe leadership behavior that is both credible and supportive. Box 1 summarizes
the differences between what may be termed industrial and knowledge cultures.
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30
Notions of Knowledge Management
Box 1: Industrial and Knowledge Culture Paradigms
Industrial Culture
•
•
•
•
•
•
•
•
•
•
Knowledge Culture
•
•
•
•
•
•
•
•
•
•
Limited information distribution
Many management levels
Uneven responsibility
Rules based
Structured
Risk averse
Inward orientation
Occasional training
Financial focus
Political
Wide information distribution
Few management levels
Shared responsibility
Principles based
Unstructured
Able to take some risks
Outward orientation
Continuous learning
Marketing focus
Open
Source Author
Table. Organization and culture
Organization
Focus
Culture
Key
measure
Source Author
Feudal
culture
Industrial
culture
Knowledge
culture
Creativity
culture
Territorial
Land
Domination
Control
Quantity
Hierarchies
Profit
Control
Responsibility
Efficiency
Networks
Customer
Responsibility
Contribution
Effectiveness
Flows
Innovation
Contribution
Creativity
Quality of Life
The above table makes observations on organization and culture, and suggests
what might lie a little beyond the knowledge culture. One may appreciate that
(i) cultures are not static (there is movement from left to right); (ii) individuals who
are absorbed in a particular culture tend to find the culture to the right a little
meaningless and the culture to the left almost valueless; (iii) transition from one
culture to another is not smooth; and (iv) the concepts of control, responsibility, and
contribution provide interesting analytical links between cultures.
Assessing the Behavior-Performance Continuum
Within any organization there may also be a variety of cultures—shaped by
characteristic differences in professional orientation, status, power, visibility, and
other factors. Understanding these cultures in terms of their expected behaviors
helps to appreciate why organizational units can exhibit behaviors that are opposite
Assessing the Behavior-Performance Continuum
301
to the organization’s expressed mission, values, and norms. At a more pressing
level, behaviors can also temper what cooperation is displayed in a group. Thus,
cultures create behaviors, some of which can result in obstructive (or at least
nonconstructive) interactions that limit knowledge sharing and, in the fullness of
time, hold back knowledge management. Assessing the behavior-performance
continuum of key stakeholders in knowledge management initiatives will spell the
difference between success or failure. It transcends the notion of knowledge flows
that is fundamental to knowledge management initiatives and has deep implications
for fostering ownership among those involved in associated efforts.
Early Pathways to Progress
Figure 30.9 poses simple questions to locate an organization’s progress toward
knowledge management. Box 2 highlights early pathways to progress.
Have you started
discussions on
knowledge
management?
Have you
developed a
knowledge
management
strategy?
Do you have
knowledge
management
pilots underway?
Have you been
deploying
knowledge
management
solutions?
Fig. 30.9 Where are you in the journey? Source Author
Box 2: Early Signposts to Knowledge Management
• Knowledge products and services are strategic and must be accounted for
and valued accordingly
• Knowledge management requires integration and balancing of leadership,
organization, technology, and learning in an organization-wide setting
• Knowledge management requires integration and balancing of leadership,
organization, technology, and learning in an organization-wide setting
• Knowledge management must both meet the requirements of and conditions for success and the desired benefits and expectations of the
organization
• Organizational culture affects knowledge management, especially at the
lower levels
• Streamlined organizations with strong organizational cultures have a
higher chance of success in knowledge management
• An atmosphere of trust is a precondition to knowledge sharing
• Proposals for knowledge management should include both soft and hard
measures if managers are to support knowledge management initiatives
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Notions of Knowledge Management
• The success factors for knowledge management are dominated by management concerns for people, process, and outcome orientation. They are
interspersed throughout the knowledge management architecture of
leadership, organization, technology, and learning.
Source Author
Getting Results from Knowledge Management
First and foremost, knowledge management is about results. Figure 30.2 described
the typical model of learning progression under which data are analyzed to generate
information, information is placed in context to produce knowledge, and evaluated
knowledge begets wisdom (or informed actions). However, there are limits to
looking upstream and concentrating on the supply of knowledge. It can result in the
creation of unfocused data and information whereby strategy is blindly driven by
technology. It is also helpful to examine the desired results and deduce what
knowledge will be required to accomplish them. Figure 30.10 demonstrates how
awareness of the stages in human learning can be exercised to imbed the relationships between forms of meaning to focus on results. It reinforces the idea that
knowledge management is primarily a matter of people, process, and outcome
orientation.
Building Commitment
As part of an approach to managing change programs, it is helpful to observe the
stages that people live through before committing to a new way of working. From
simple awareness, they must first hear, then understand the change. Based on the
actions of leaders and peers, they then opt to support the change and can be seen to
Conventional Approach
Data
Information
Knowledge
Actions
Results
Results -Driven Approach
Fig. 30.10 A results-driven knowledge management model. Source Author
Building Commitment
303
Own
Future
State
Use
Act
Support
Understand
Current
State
Hear
Strong
Personal
Connection
Accel erates
Fig. 30.11 Committing to change. Source Author
act in the desired manner. Commitment is built when they use the new way of
working in regular activities and finally own the change in their environment. At
every stage, commitment is fragile and invokes active sponsorship from leaders.
Figure 30.11 illustrates the process of committing to change.
Reference
Stankosky M (2000) A theoretical framework. KM World, Special Millennium Issue
Further Reading
ADB (2007) Learning lessons in ADB. Manila
ADB (2008) Auditing the lessons architecture. Manila
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