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Systems Approaches

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Title: Systems Approaches


1
Systems Approaches
  • COMM 254 Organizational Communication

2
Prescriptive to Descriptive Shift
  • Prescriptive Communication as a strategic tool
    for achieving specific goals to be predicted and
    controlled.
  • Classical
  • Human Relations
  • Human Resources
  • Descriptive Communication as an ongoing,
    everyday, natural, but usually taken-for-granted
    phenomenon to be understood.
  • Systems
  • Cultural
  • Critical

3
Foundations of Systems Theory
  • Work originally began in the field of Philosophy
    in 19th century
  • Was applied in many different fields
  • Ludwig von Bertalanffy
  • Canadian biologist
  • Primary influence on the development and
    application of systems theory
  • Published General Systems Theory in 1968

4
Key Characteristics of Open Systems
  • Interdependent Wholeness

5
Key Characteristics of Open Systems
  • Hierarchy

6
Key Characteristics of Open Systems
  • Environmental Interchange
  • (Permeability)

7
System Processes
  • Input
  • Process (or Throughput)
  • Output

8
System Processes
Self-Regulation for Goal Attainment
  • Systems Goals
  • Homeostasis (balance)
  • Morphogenesis (adaptability)
  • Feedback The mechanism for self-regulation
  • Negative feedback Indicates undesirable
    deviation that threatens homeostasis.
  • Positive feedback Indicates desirable deviation
    that supports morphogenesis.

9
System Properties
  • Holism
  • Equifinality
  • Negative Entropy
  • Requisite Variety

See p. 79
10
Equivocality Reduction TheoryA Systems
Application
  • Theorist Karl Weick, Professor of Organizational
    Behavior and Psychology
  • Basic premise Organizing is a communicative
    activity directed toward the reduction of
    equivocality in information

11
Equivocality Reduction TheoryA Systems
Application
  • An organization must process information about
    its environment in order to function effectively
    (maintenance or adaptation).

12
Equivocality Reduction TheoryA Systems
Application
  • Information is equivocal when it can be given
    many different interpretations.

13
Equivocality Reduction TheoryA Systems
Application
  • Equivocal information may be ambiguous or
    conflicting.

14
Equivocality Reduction TheoryA Systems
Application
  • Equivocal information may be ambiguous or
    conflicting.

So what do you think of my new look?
WellI think its very interesting.
15
Equivocality Reduction TheoryA Systems
Application
  • Equivocal information may be ambiguous or
    conflicting.

Wow! Its really great!!
So what do you think of my new look?
Thats just about the ugliest thing Ive ever
seen!
16
Equivocality Reduction TheoryA Systems
Application
  • In an environment of unequivocal information
    (certainty), organizations can rely on
    established rules (assembly rules) and procedures
    to guide decisions and actions.

17
Equivocality Reduction TheoryA Systems
Application
  • All organizations face equivocality, and the
    degree of equivocality in the environment is
    constantly increasing...the world in becoming
    more and more complex.

18
Equivocality Reduction TheoryA Systems
Application
  • A quote The activities of organizing are
    directed toward the establishment of a workable
    level of certainty. An organization attempts to
    transform equivocal information into a degree of
    unequivocality with which it can work and to
    which it is accustomed.
  • Weick, K. (1969). The social psychology of
    organizing. Reading, MA Addison-Wesley.

19
Equivocality Reduction TheoryA Systems
Application
Evolutionary Process of Organizing
  • Stage One Enactment
  • Enactment is creating the environment by what you
    notice and how you assign it meaning
  • Environment is not whats out there but what
    we know or believe to be out there
  • Organizational environments are socially
    constructed

20
Equivocality Reduction TheoryA Systems
Application
Evolutionary Process of Organizing
  • Stage Two Selection
  • Assembly rulesorganizational response recipes
  • Acceptable in unequivocal environments
  • Communication cyclessystems of double-interacts
  • Act, response, adjustment
  • Why has there been so much turnover in our sales
    force lately? The new sales manager is really
    awful to work with. I hadnt heard that. Ill
    have to have a chat with him sometime soon.
  • Necessary in highly equivocal environments.

21
Equivocality Reduction TheoryA Systems
Application
Evolutionary Process of Organizing
  • Stage Three Retention
  • Retrospective Sense-Making
  • Rationalized vs. Rational Behavior
  • Impacts future enactment and selection (p. 83)

22
Network Analysis
  • A network is
  • a functional communicative structure.
  • a purposive pattern of message transmission.

23
Two Network Traditions
  • Positional Tradition
  • A network is a system of established pathways
    through which messages may flow.

24
Two Network Traditions
  • Relational Tradition
  • A network is a system of interconnected
    individuals who are linked by observable patterns
    of message flow.

25
Analyzing Networks
  • Communication Links
  • Strength

26
Analyzing Networks
  • Communication Links
  • Strength
  • Symmetry

or
27
Analyzing Networks
  • Communication Links
  • Strength
  • Symmetry
  • Multiplexity

Task
Social
Innovation
28
Analyzing Networks
  • Communication Roles

29
Analyzing Networks
  • Communication Roles

30
Analyzing Networks
  • Communication Roles
  • Member

??
31
Analyzing Networks
  • Communication Roles
  • Liaison

32
Analyzing Networks
  • Communication Roles
  • Bridge

33
Analyzing Networks
  • Communication Roles
  • Isolate

34
Analyzing Networks
Network Qualities
  • Size
  • The number of nodes (people) in a network

35
Analyzing Networks
Network Qualities
  • Content
  • The nature of the stuff flowing through the
    network connections

36
Analyzing Networks
Network Qualities
  • Mode
  • The mediums or channels through which linkages
    are maintained

37
Analyzing Networks
Network Qualities
  • Centrality
  • The degree to which individuals have access to
    each other

38
Analyzing Networks
Network Qualities
  • Connectedness (Density)
  • The ratio of actual to possible links in the
    network

39
Analyzing Networks
Connectedness
100
70
40
Analyzing Networks
Centrality vs. Connectedness
41
Analyzing Networks
Application
BusinessWeek online
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