Organizational Decision-Making: Situational/Contextual Frameworks
Different contexts call for different leadership approaches. For this reason, Snowden and Boone (2007) emphasize the importance of recognizing the context at a specific time before deciding what action or decision to take. As a guide, the authors developed the Cynefin framework, which categorizes the issues that leaders face into four contexts defined by the nature of the cause-and-effect relationship: simple, complicated, complex, and chaotic. This text analyzes the applicability of different decision-making approaches in each the four contexts.
Applicability of Tools of Rational Economics
Rational economics is an economic theory that assumes that individuals will always make decisions that offer the highest possible level of utility given the choices available (Bruce, 2016). The cornerstone of rational economics is that individuals have perfect information about all available alternatives and their features (Bruce, 2016). Under rational decision-making, an individual identifies a problem, establishes decision criteria, generates alternatives, weighs alternatives, and then selects the best alternative from the available choices (Bruce, 2016). This process may work in the simple and complicated contexts, but may be irrelevant in complex and chaotic contexts.
In a simple context, cause-and-effect relationships are clear and the best decision is easily identifiable (Snowden & Boon, 2007). The team members thus have perfect knowledge about the available alternatives and they only need to categorize and implement the same. In a complicated context, cause-and-effect relationships are not necessarily clear to everyone, although there are several likely solutions to the problem (Snowden & Boon, 2007). In this case, team members could obtain all relevant knowledge through research to accurately establish cause-and-effect relationships, and then choose the best alternative.
For the complex and chaotic situations, however, cause-and-effect relationships are either unclear or non-existent, making it impossible for team members to identify or even weigh different alternatives as...
References
Bruce, P. J. (2016). Understanding Decision-Making Processes in Airline Operations Control. New York, NY: Routledge.
Miner, J. B. (2007). Organizational Behavior 4: From Theory to Practice – Volume 4. Armonk, NY: M.E. Sharpe.
Snowden, D. J., & Boone, M. E. (2007). A Leader’s Framework for Decision-Making: A Leader’s Framework for Decision-Making. Harvard Business Review, 85(11), 68-76.
Steward, D., & Cavazos, R. (2019). Big Data Analytics in US Courts: Uses, Challenges, and Implications. New York, NY: Springer.
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