Chapter
1
Introduction
1.1
WHAT
IS KM?
1. Davenport,T (1994) offered the following: “knowledge management is the process of capturing, distributing, and effectively using knowledge”
2. Duhon, 1998 : “A discipline that promotes an integrated approach to identifying, capturing, evaluating, retrieving, and sharing all of an enterprise’s information assets. These assets may include databases, documents, policies, procedures, and previously uncaptured expertise and experience in individual workers”.
3. The third definition by McInerney, C. [2002] is that “KM is an effort to increase useful knowledge within the organization.Ways to do this include encouraging communication, offering opportunities to learn, and promoting the sharing of appropriate knowledge objects or artifacts.”
1.2 THE HISTORY AND DEVELOPMENT OF KM
1. Davenport,T (1994) offered the following: “knowledge management is the process of capturing, distributing, and effectively using knowledge”
2. Duhon, 1998 : “A discipline that promotes an integrated approach to identifying, capturing, evaluating, retrieving, and sharing all of an enterprise’s information assets. These assets may include databases, documents, policies, procedures, and previously uncaptured expertise and experience in individual workers”.
3. The third definition by McInerney, C. [2002] is that “KM is an effort to increase useful knowledge within the organization.Ways to do this include encouraging communication, offering opportunities to learn, and promoting the sharing of appropriate knowledge objects or artifacts.”
1.2 THE HISTORY AND DEVELOPMENT OF KM
The appearance of the term “Knowledge
Management” is a rather recent phenomenon. It appeared operationally
only in the mid-1990s. The earliest print reference appears to have been used
first in the context of library and information work.
Marchand, D. [1985], then Dean of the School of Information
Studies at Syracuse University, coined it in the 1980s as a descriptor for the
final level in his stage hypothesis of information
systems development [Koenig,M., 1992a]. However, the term, as
presently used, appears to have been re-coined more or less anonymously
somewhere among the major accountancy and consulting firms.
The earliest reports seem to be from McKinsey & Co.
Brook Manville, the first Director of Knowledge Management at McKinsey, reports
that McKinsey launched an internal study whose title
included the phrase Knowledge Management in 1987
(Manville, personal communication toMEDK, 2007). Larry Prusak, one of the
acknowledged pioneers of the field, in a very corroborative
communication, reports that Ernst & Young started using the term
in 1992, and that McKinsey & Co. was using it “a bit earlier – about 1988?”
(Prusak, personal communication to MEDK, 2007). Note that
the early definition of KM cited above by Davenport
(1994) stems from his work at Ernst & Young.
1.3 THE STAGES OF KM DEVELOPMENT
1. “By the Internet out of Intellectual
Capital” : Information Technology, Intellectual Capital, The Internet (including intranets, extranets, etc.) and Key Phrases: “best practices,” later replaced by the more
politic “lessons learned”
2. Human and cultural dimensions,
the HR, Human Relations stage : Communities of Practice, Organizational Culture,The Learning Organization (Senge), and Tacit Knowledge (Nonaka) incorporated into KM, Key Phrase: “communities of practice”.
3. Content and Retrievability : Structuring content and assigning descriptors (index terms), Key Phrases: “ content
management” and “taxonomies”
4. Access to External Information : Emphases upon External Information and the recognition of the Importance
of Context, Key Terms: “context” and “extranet”
1.4 SUPPLEMENTARY WAYS
OF LOOKING AT KM
1.4.1 THE IBM TWO BY
TWO MATRIX
A MAP OF
THE DOMAIN OF KNOWLEDGE MANAGEMENT
KM may also be displayed and to a
degree defined graphically through mapping. The following
presents an expanded form of a graphic
used by IBM in their KM consultancy to explain the value and purpose of
KM.
1.4.2 THE FOREST AND THE TREES
KM-The New Business Potpourri or not
Seeing the Forest for theTrees
What is that fundamentally important
difference?
Think of all the management fads and
enthusiasms of the late 20th century, 1975
– 2000.What is striking is how many of those
management fads, enthusiasms, and topics are highly related with the management of
information, knowledge flow in organizations or the management of information technology
(IT). Below are some list of those
management fads, enthusiasms, and topics that meet those criteria : Enterprise Content Management (ECM), Supply
Chain Management (SCM),Customer Relationship Management (CRM),Enterprise
Resource Planning (ERP),Knowledge Management (KM),Intellectual Capital
(IC),E-business,DataWarehousing / Data Mining,Core Competencies.
1.4.3 KM AS THE EXTENSION OFTHE SUCCESSFUL
R&D ENVIRONMENT
Meta-Research, or KMis the Extension
of the SuccessfulR&DEnvironment
A final way to view KMis to
observeKMas the movement to replicate the information environment known to be
conducive to successfulR&D- rich,
deep, and opencommunication and information access - and deploy it broadly across
the firm. The principles and practices of KM have developed in a very conducive
environment, given that in this post-industrial information age, an
increasingly larger proportion of the population consists of information
workers.
C
H A PT E R 2
Background Bibliographic
Analysis
One
measure of the influence of a discipline is to track the “formal
communications” or published works in that discipline. Ponzi observed that “knowledge
management is one emerging discipline that remains strong and does not appear
to be fading”. The authors have continued that tracking of the KM literature
time series (Figure 2.1 below) through the 2009 literature. The KM business
literature continues to grow.
Below
(Figure 2.2) are the literature growth patterns of three of those major
business enthusiasms. The difference is dramatic. Quality Circles, Business
Process Engineering, and Total Quality Management all show an almostm identical
pattern of approximately five years of dramatic, exponential, growth, then they
peak and fall off to near nothing almost as quickly. KM, by contrast, has that
same period of five years of exponential growth, 1994 to 1999, but in the
decade since it has not declined, rather it has continued to grow steadily and
consistently. All the hallmarks are here of a rather permanent development.
Figure 2.2: Literature graphs for “Quality Circles,” “TotalQuality
Management,” and “Business Process
Reengineering.”
See
Figure 2.3 below for the publication pattern. In general, the number of
dissertations focusing on some aspect of knowledge management rises gradually
until 2006 and has remained steady with about 100 theses produced each year in
English with, however, a decline in 2008 and 2009.
Figure 2.3: Doctoral Dissertations and Masters Theses written with ‘Knowledge
Management’ in the
Title, Abstract or KeyWord Fields 1996–2009.
C H A PT E R 3
Theorizing
Knowledge in
Organizations
3.1
KNOWLEDGE AS RESOURCE AND PROCESS
Through
the resource perspective, organizations view knowledge as a fundamental
resource in addition to the traditional resources of land, labor, and capital.
It is held that the knowledge that the firm possesses is a source of
sustainable competitive advantage, and is, accordingly, regarded as a strategic
resource of the firm in need of management attention. On the other hand, through
the process view, organizations are thought of as information processing and
knowledge generating systems [Grant, R., 1996]. Baumard, P. [1999] proposes
looking at knowledge in organizations along two dimensions: tacit-explicit
versus individual-collective. He defines four quadrants in which knowledge
types are situated: tacit-individual (intuitiveness), tacit-collective (social
practice), explicit-individual (expertise), and, explicit-collective (rules).
Grounding the use of the quadrants in observations of exemplar case-study
organizations, Baumard suggests that the creation of organizational knowledge
can be tracked by locating actors’ responses (knowing) within the appropriate
quadrants of the matrix.
3.2
INTERACTIONS FOR KNOWLEDGE CREATION
While
knowledge itself may be perceived as a resource, its creation occurs through
human interactions, whether physical or virtual. For example, for knowledge to
emerge from within a group, interactions that occur among its members shape the
knowledge that emerges from the mutual engagement and participation of the
group members. Nonaka and Takeuchi are the most prominent theorists in the
knowledge management domain. Their SECI (Socialization, Externalization,
Combination, Internalization) model posits a spiral-type process in which
knowledge goes from within a person’s own knowledge store to a more explicit
state that can be shared socially with others.
3.3
ACTIVITY AS CONTEXT
Instead
of examining knowledge per se,
Blackler, F. [1995] and others propose that attention should focus on systems
through which knowing and doing are achieved. By suggesting an alternative stance
of knowing as mediated, situated, provisional, pragmatic, and contested, as
opposed to a more classic viewof knowledge as embodied, embrained, encultured,
and encoded, Blackler recognizes that knowledge permeates activity systems
within the organization. Building on Engeström, Y. [1999] general model of
socially distributed activity systems, Blackler, F. [1995] proposes that
knowledge can be observed as emerging out of the tensions that arise within an
organization’s activity systems, that is, among individuals and their
communities, their environment (rules and regulations), and the instruments and
resources that mediate their activities.
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