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Summary<br />

• Based on the work of Karl Weick.<br />

• OIT is essentially a macro theory with the <strong>organization</strong> as<br />

the unit of analysis.<br />

• The main activity of <strong>organization</strong>s is making sense of<br />

“equivocal” information.


Overview of the Info. Mgt. Process<br />

• Focus of theory is on the process to collect and manage<br />

and make sense of information.<br />

• Sense-making is accomplished through:<br />

• Enactment<br />

• Interpretation of diverse sources of information inputs<br />

• Selection<br />

• Choose method to gain further information<br />

• Retention of information<br />

• Collective memory of most valued information


The Only Constant Is Change<br />

• Dynamic Equilibrium: traditionalism,<br />

fundamentalism<br />

• Learning Organizations:<br />

• Lots of people have useful information (even at the<br />

bottom)<br />

• Process improvements shouldn’t threaten people<br />

• Organizations and people should be positioned to<br />

improve over time (not stay the course)


Theoretical Foundations<br />

Theoretical perspectives that influenced OIT:<br />

• Von Bertalanffy’s General Systems Theory (1968)<br />

• Systems are composed of parts<br />

• The “whole is greater than the sum of the parts.”<br />

• All complex systems (including human <strong>organization</strong>s)<br />

share similar characteristics and behaviors:<br />

• Complexity – many interlocking parts<br />

• Feedback and control – keeps system on-track<br />

• Adaptation – changing environment can change system<br />

• Equifinality – system seeks to return to equilibrium.


Organizational Information<br />

• General Systems Theory<br />

• Systems (whether mechanical or social) consist of lots of<br />

variables and their relationships<br />

• Lots of variables: as opposed to the something, anything<br />

approach to social problems, or to unanticipatedconsequences<br />

• Lots of relationships: multiple links, interactions, time<br />

delays, feedback loops, periodicity


Applying GST to Org. Info. Processing<br />

• Organizations are made up of interrelated and<br />

interacting parts, i.e., they are systems.<br />

• Information coordinates the action of the parts of the<br />

system (Cybernetics)<br />

• Controls on information processing occur via<br />

information and control loops:<br />

• Feedback – responding to stimulus<br />

• Projection – looking at future trends, etc.<br />

• Validation – making sure inputs and outputs are<br />

appropriate


Problems in Implementing Systems<br />

Models<br />

• Very complex to analyze<br />

• Hard to manage as a development tool<br />

• Seem too intellectual for some people<br />

• Easy to identify for cuts


Another Theoretical Base<br />

• Campbell’s Theory of Sociocultural Evolution (1968)<br />

• An expansion on Darwin's Theory of Evolution (1948)<br />

• Organizations adapt or die.<br />

• Organizations whose systems are self-modified to make<br />

the most sense of equivocal information inputs are<br />

successful and survive.<br />

• Implication is that systems need to be capable of selfmodification…<br />

have it “built in.”<br />

• Successful adaptations are retained and persist.


Assumptions of OIT<br />

1. Human <strong>organization</strong>s exist in an information<br />

environment:<br />

• Organizations depend on information to function and accomplish<br />

its goals<br />

• Information environments include many channels<br />

• Complexity increases as the number of channels increases<br />

2. The information an <strong>organization</strong> receives differs in terms<br />

of its equivocality:<br />

• Information equivocality is the presence of several<br />

interpretations of the same event.<br />

• Organizations need a process to make sense out of equivocal<br />

information.<br />

Continued…


Assumptions of OIT<br />

3. Human <strong>organization</strong>s engage in information processing<br />

to reduce the equivocality of information.<br />

• Members of <strong>organization</strong>s must work together to reduce ambiguity<br />

of information.


The Process of OIT<br />

• Tasks in managing multiple sources of information:<br />

• Interpreting<br />

• Coordinating<br />

• Rules are the guidelines established by an<br />

<strong>organization</strong> for analyzing the equivocality of<br />

messages and for guiding responses to information.<br />

• In the presence of new forms of equivocal messages, the<br />

rules should be able to adapt.


Types of Rules<br />

• Duration<br />

• Make decision in the shortest amount of time<br />

• Personnel<br />

• Most knowledgeable make the decisions<br />

• Success<br />

• Past successful adaptation will be used to reduce<br />

equivocality<br />

• Effort<br />

• Make decisions with least amount of expense


Another Key Concept<br />

• Cycles are the series of communication behaviors that<br />

serve to reduce equivocality.<br />

• Stages of a cycle:<br />

• Act<br />

• Something happens that establishes ambiguity<br />

• Respond<br />

• Choice of behavior to situation of ambiguity<br />

• Adjust<br />

• Equivocality is reduced; if not, triggers another cycle


The Relationships of Equivocality, Rules and<br />

Cycles<br />

• Organizational system element analyzes the relationship<br />

among the equivocality of input information and existing<br />

rules for removing equivocality.<br />

• If only a few rules to reduce equivocality exist, more cycles<br />

will be needed.<br />

• The more cycles, the lower the ultimate equivocality.<br />

• This results in (or should result in) successful adaptation to<br />

an uncertain information environment via the<br />

establishment of new rules.


Key Critiques<br />

• Theory holds up quite well, but at first blush seems<br />

hard to apply.<br />

• Using a “systems approach” is difficult, as seen earlier,<br />

but can be very informative.<br />

• Utility<br />

• By looking at the process of communication, OIT lets us<br />

look at how <strong>organization</strong>s function dynamically.<br />

• By applying Information Processing, OIT is on a more<br />

solid theoretical foundation.


Key Critiques<br />

• Heurism<br />

• Has led to many studies and produced practical advice<br />

for how <strong>organization</strong>s should function in complex and<br />

dynamic environments.<br />

• Logical Consistency<br />

• Weick claims people in <strong>organization</strong>s follow established<br />

rules, when in many cases they clearly don’t.<br />

• Some <strong>organization</strong>s are static (or even “broken”) in the<br />

sense that they don’t have the mechanisms in place for<br />

doing OIT that Weick claims.<br />

• Ignores effects of mergers, downsizing, offshoring, etc.

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