Flexons Approach to Problem Solving (PowerPoint PPT Slide Deck)

This PPT slide introduces the concept of "Information-processing Flexon," which serves as a framework for analyzing various aspects of a business through the lens of information processing. It highlights 3 critical components: the information utilized, the cost associated with computation, and the efficiency of the computational mechanisms employed to address problems. The emphasis on these elements suggests that understanding how information flows and is processed within an organization can significantly impact decision-making effectiveness.

The slide further elaborates that within the organization, the "computational device" is essentially a collective of individuals whose deliberative processes are pivotal in determining the quality of decisions. This perspective underscores the human element in information processing, indicating that the way people interact with and interpret data is crucial for achieving optimal outcomes.

A case example is presented to illustrate the application of this framework. It recounts a retrospective analysis of an investment committee's decisions, revealing that past investments were riskier than initially perceived. The action taken involved scrutinizing the information relayed to the committee. Findings from interviews indicated a bias towards riskier investments, stemming from a near-unanimity voting requirement. This requirement was identified as a barrier to open debate, suggesting that a lack of dissent can hinder effective decision-making.

The slide concludes with a provocative insight: near-unanimity can be counterproductive, as it suppresses necessary discussions. Encouraging a more open dialogue, even if it means risking decisions, could lead to better-informed outcomes. This analysis provides valuable takeaways for organizations looking to refine their decision-making processes and improve overall effectiveness.

This PPT slide outlines the concept of "Networks Flexon," emphasizing its utility in problem-solving for executives. It begins by defining a network as a collection of interconnected individuals or entities, which can range from groups of people to interacting product components. This definition sets the stage for understanding how networks can be leveraged to tackle various business challenges.

The Networks Flexon framework is presented as a tool that breaks down complex situations into a series of interconnected problems. It focuses on 2 main aspects: prediction, which addresses how relationships might evolve over time, and optimization, which seeks to enhance the relational benefits of specific agents within the network. This approach highlights the importance of understanding relationships among entities to effectively navigate business issues.

A case example illustrates the practical application of Networks Flexon in a pharmaceutical context. It describes a scenario where a company launching a new product creates a network map of physicians who can significantly influence drug usage. The action taken involves targeting clusters of physicians who share similar ideas and maintain close interactions. The result of this targeted approach is an improved return on investment compared to traditional mass marketing strategies.

This slide effectively communicates the value of utilizing the Networks Flexon framework for executives looking to refine their problem-solving methodologies. By focusing on relationships and targeted actions, organizations can achieve more efficient outcomes and better leverage their resources.