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Entrepreneurial decision- makers and the use of biases and heuristics

innovation

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  • 1. Entrepreneurial decision-makers and the use of biasesand heuristics

2. Objectives Examine negative biases that canemerge in entrepreneurs and inentrepreneurial teams Best practices for managing therepresentativeness &overconfidence 3. Entrepreneurs are more likely to use biasesand heuristics Why do entrepreneurs more so than companymanagers use: personal judgment, cognitive mechanisms, and subjective opinions? 4. Benefits of using biases and heuristics? Working with incomplete data Need to make faster and cheaper decisions Less time spent = fewer opportunities missed Less money spent = need to efficiently manage limitedfinancial resources Need to take decisive action Capitalized on near-term opportunities Lessen likelihood of missing opportunities 5. Minimize the total time through the loopThe Lean Startup, Eric Ries 6. Example: Software Development 7. Dangers of using biases and heuristics? Hasty decisions Incomplete analysis Squander resources New biases 8. Negative biases that can emerge inentrepreneurs and in entrepreneurial teams Representativeness Decision-making short cut by generalizing abouta person or an event based on only a fewattributes of that person or only a fewobservations of similar events Overconfidence Decision-making bias of over optimism in aninitial solution and slowness to incorporateadditional information about a situation into thesolution because of initial confidence 9. Why are entrepreneurs subject torepresentativeness heuristic? Not enough resources (time, money, knowledge, etc.)to systematically collect data Not enough resources to analyze data Fear is missing opportunities Sense of urgency to make a decision 10. Passion and belief that the favored outcomeis the likely outcome Overestimation of ones own knowledgemay be necessary to pursue innovative,uncertain opportunities If the entrepreneur is not confident, theteam, investors, etc. will not be confidentWhy are entrepreneurs subject tooverconfidence bias? 11. Best practices for managing therepresentativeness & overconfidence Actively search for information Define assumptions Consider alternatives Estimate the consequences Work as a team Ask for advice 12. Customer discovery and validation is centralto the decision to launch the firm.The Lean Startup, Eric Ries 13. Summary Negative biases can emerge inentrepreneurs and in entrepreneurialteams Use best practices for managingrepresentativeness overconfidence Customer discovery and validation iscentral to the decision to launch the firm