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Towards a Network Exchange Perspective

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Title: Towards a Network Exchange Perspective


1
Towards a Network Exchange Perspective for
Knowledge Sharing Systems
Liaquat Hossain
2
Presentation Outline
Problems addressed in this study
Organization, structure and communications network
Network exchange perspective of knowledge sharing
The Ying and Yang of organizational design
Flow of power structures within organization
3
A Sociotechnical View of Knowledge Sharing
organizational objectives are best met not by
the optimization of the technical system and the
adaptation of the social system to it, but by the
joint optimization of the technical and social
aspects
Cherns, 1978
4
Problems addressed in this study

1. Design and management of legitimate (i.e.,
formal) and shadow network (i.e., informal and
tacit) for KS
2. The mechanics of exchange, conflict, and
coercive relations for KS
3. The mechanical (i.e., quantitative and
theoretical) and organic (i.e., qualitative and
subjective) components for KS in organizations.
5
Organization, structure and communications network
  • Organization can be defined as a person or a
    group of people united for some purpose (Cyert
    and March,1963).
  • Ethical codes and market system itself can be
    interpreted as organizations (Arrow, 1974).
  • Organization structure is seen as a mechanism for
  • guiding communication flows among
    individuals.
  • Regular patterns of communication contacts among
    people within a social system can be referred to
    as communications network (Wigand, 1988)

6
Communication Flow through OS
  • Strengths of weak ties suggests that casual
    acquaintances promotes organizational learning
    (Granovetter, 1973).
  • Information exchange, patterns, coalition and
    power of individual members can be drawn by
    communication network analysis (Wigand, 1988
    Bonacich and Bienenstock, 2000).
  • Types of interactions, or links, among agents
    where legitimate network refers to formal and
    shadow network refers to informal structure can
    serve as a differentiation between formal and
    informal OS (Stacey, 1996).

7
Legitimate vs. Shadow Network Structure
  • In the legitimate network, interactions or links
    are either
  • (i) formally and intentionally established by the
    powerful members of the organization, or
  • (ii) established well-understood, implicit
    guiding principles, which are accepted by the
    members of the organization.
  • Shadow network consists of links that are
    spontaneously and informally established by the
    individuals among themselves during the
    interaction process in the legitimate system
    (Stacey, 1996).
  • Network exchange perspective advanced by
    Markovsky, Willer and Patton (1988) provides a
    basis for exploring the differences in resource
    accumulations of positions in interconnected
    groups of actors.

8
Network exchange perspective of knowledge sharing
  • Elementary theory is used to explore exchange,
    conflict, and coercive relations for agents
    (Willer and Anderson, 1981 Willer, 1987).
  • ET is a modeling procedure that can be used to
    build models of properties inside the actor, and
    for properties outside the actor (Willer, 1999).
  • For example, preferences and beliefs are
    considered as properties inside the actor and
    social relations and social structures are viewed
    as properties outside the actor (i.e. the inside
    and outside actor, may provide significant
    insights about KS practices in organizations).


 
9
Elementary theory or ET for Knowledge Sharing
  • The concept of power exercise is central to ET.
  • Power exercise is the movement of valued
    resources among agents, the control of one agent
    by another, or both (Willer, 1999).
  • For example, when people interact, two kinds of
    events indicate that power is being exercised.
  • First, A is exercising power over B when A
    benefits more than B
  • Second, A is exercising power over B when A
    controls B more than the contrary.
  • Three types of networks are examined within the
    ET literatureequal power, strong power, and weak
    power

10
Equal Power Network
  • An equal power network represents a state of no
    exclusion, or a network of agents that face an
    equal probability of exclusion.
  • B A

  • D
  • C A

  • B

11
Strong Power Network
  • It consists of one or more agents who are never
    excluded from an exchange and one or more agents
    who are potentially always excluded from an
    exchange.
  • two examples of strong networks where the
    probability of an A-exchange is 100 and the
    probability for a B, C, or D-exclusion is 100.
  • B A C
    A D
  • D
  • C A
  • B

12
Weak Power Network
  • Exists between the two extremes of equal and
    strong power
  • For example, no single agent is necessarily any
    more powerful than any other agent in the network
    as all the agents have anunequalprobability of
    exclusion
  • D
    D
  • C A C
    A
  • B
    B
  • Strong power Weak
    power

13
The Ying and Yang of Organizational Design
  • Legitimate networks are often designed by
    organization heads and/or influenced over time by
    established behaviors and culture (Stacey, 1996).
  • KM literature suggests the direct relationship
    between legitimate structure and knowledge
    legitimation (Gumport and Snydman, 2002).
  • Dynamics of knowledge legitimation suggest that
    knowledge has social origins (Manheim, 1936
    Kuhn, 1962 and Mulkay, 1979).
  • Legitimate network is the skeleton, where shadow
    structure is the central nervous system which,
    drives the collective thought processes, actions,
    and reactions (Krackhardt and Hanson, 1993).
  • Successful OD depends on the capacity to design
    and support legitimate networks that maximize the
    potential for spontaneous development of shadow
    networks.

14
Flow of Power Structures within Organization
  • A study of shadow networks and CoPs across 50
    firms suggest that social network analyses aimed
    at identifying shadow networks is a legitimate
    management tool for understanding the flow of
    power (Cross and Prusak, 2002).
  • Construction of sociograms help in identifying
    leaders and isolated agents for uncovering
    asymmetry and reciprocity, and also to map chains
    of connection (Moreno, 1934).
  • The value of ET is in its simple, clear, and
    experimentally validated assumptions about
    resources, structure, or both.
  • Hypotheses based on the assumed resources of
    specific agents within a network combined with
    their placement within equal, weak, or strong
    networks can be used as a tool for building and
    testing theory.

15
Managing Knowledge Sharing
  • Attention to the following three core components
    would be required for managing KS in
    organizations
  • structure effects
  • How is the structure of this network affecting
    outcome?
  • Who are the power players within the network?
  • Who is being excluded? Why? Should I
    intervene?
  • resource effects
  • Which skills and resources are valued the most
    by the organization?
  • Which skills and resources are valued the most
    by said employees?
  • Can these skills be better leveraged through
    subtle manipulation of network channels? That
    is, can I lower the probability of exclusion of
    this knowledge by helping to motivate a
    previously blocked or nonexistent line of
    communication?

16
References
Arrow, K. (1974). The Limits of Organization,
Norton and Company, New York. Bonacich, P., and
Bienenstock, E. J. (2000). Patterns of
coalitions in exchange networks an experimental
study, Rationality and Society, Vol. 12, No. 3,
pp. 352-373. Cherns, A. (1978). The principles
of sociotechnical design, In Pasmore, W. A., and
J. J. Sherwood (eds.), Sociotechnical Systems A
Sourcebook.. La Jolla, California University
Associates Incorporated, pp. 61-71. Cross, R.,
and Prusak, L. (2002). The people who make
organizations goor stop, Harvard Business
Review, June, Vol. 80, pp. 104-112. Cyert, R. M.,
and March, J. G. (1963). A Behavioral Theory of
the Firm, N.J., U.S.A. Prentice-Hall Inc.
Granovetter, M. S. (1973). The Strength of Weak
Ties, American Journal of Sociology, Vol. 6, pp.
1360-1380. Gumport, P. J., and Snydman, S. K.
(2202). The formal organization of knowledge,
The Journal of Higher Education, Vol. 73, No. 3,
pp. 375-408 (Columbus, Ohio). Krackhardt, D. and
Hanson, J. R. (1997). Informal networks The
company, In Knowledge in Organizations, Prusak,
L (Edited), pp. 37-49. Kuhn, T. S. (1962). The
structure of scientific revolutions, Chicago
University of Chicago Press.
17
References
Mannheim, K. (1936). Ideology and utopia An
introduction to the sociology of knowledge,
Transl. Louis Wirth Edward Shils. New York
Harcourt Brace World. Markovsky, B., Willer,
D., and Patton, T. (1988). Power Relations in
Exchange Networks, American Sociological Review,
Vol. 53, pp. 220-36. Moreno, J. (1934). Who shall
survive? New York Beacon Press. Mulkay, M.
(1979). Science and the sociology of knowledge,
London George Allen Unwin. Stacey, R. D.
(1996). Complexity and Creativity in
Organizations, Berrett-Koehler Publishers, San
Francisco. Wigand, R. T. (1988). Communication
Network Analysis History and Overview, In
Handbook of Organizational Communication, G.
Goldhaber and G. Barnett (Eds.), Ablex Publishing
Corporation, Norwood, New Jersey,
319-359. Willer, D. (1987). Theory and the
experimental investigation of social structures,
New York Gordon and Breach. Willer, D., and
Anderson, B. (1981). Network Exchange, and
Connection, New York Elsevier. Willer, D.
(1999). Network Exchange Theory (Edited),
Westport, Cr Praeger
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