Given the universal availability of data and social networking collaboration, is it time for a new management reset beyond command and control organization (CCO) and high-involvement organization (HIO)? While considering this question, address the following:
• Analyze and define a management reset.
• Determine if management reset is something that can be done at an organization or a company level.
• Examine the last 2 management resets. Is it time for another? Why or why not?
Discuss the following:
• Compare and contrast the differences between innovation and creativity.
• Analyze if one leads to the other. If so, please explain.
• Determine why is it important for an organization to drive innovation.
• Determine who is responsible for innovation within the organization.
Examine the following:
• What is meant by a structured approach to drive organizational innovation?
• Why are people important in the innovation process?
• What is meant by nonlinear and iterative processes in this context?
Discuss the following:
• Recommend ways companies can use predictive analytics.
• Review and report on at least 3 examples of predictive analytics in practice, based on your real-life experiences.
• Determine if the availability of a lot of data fosters better predictions using predictive analytics. Why or why not?
Discuss the following:
• Determine if predictive analytics is a better method than others for predicting the future. Why or why not?
• Analyze the difference between predicting and forecasting the future.
Research the following topics:
• Provide a brief history of scenario planning in general.
• Describe an overview of the scenario planning process.
• Determine who is responsible for scenario planning within the organization.
• Provide a few examples of real scenario planning within corporations.
Discuss the following:
• Research what is meant by a black swan event.
• Examine 2 examples of black swan events throughout history.
• Determine if black swan events are more likely to happen today than 20 years ago. Why or why not?
Discuss the following:
• How will you apply what you have learned in your professional life?
• Can you apply what you have learned to your dissertation research? Why or why not?