Data-Driven Decision Making in Entrepreneurship: Tools for Maximizing Human Capital

Cover
Title Page
Copyright Page
Dedication
Preface
Acknowledgements
Table of Contents
About the Contributors
Part I Human Capital Assessment and Development
	1. Introduction
	2. Work Analysis-based Job Descriptions: The Secret to Finding the Right Startup Talent at the Right Time
	3. Identifying and Measuring Entrepreneurial Talent in the Age of Artificial Intelligence
	4. Professional Human Capital Development for Startup Founders and Workers
	5. Selection and Training for Teamwork: Implications for Diverse, Virtual, and Human-Machine Teams
	6. Human Capital Due Diligence: Leveraging Psychometric Testing for Wiser Investment Decisions
Part II Startup Situations, Environments, and Support Systems
	7. Opportunity or Threat? Entrepreneurs’ Well-Being and Performance in the Data-Driven Era
	8. Using Data to Build More Diverse, Equitable, and Inclusive Startups
	9. An Introduction to the Utilization and Application of Text Analysis
	10. Promoting Well-Being and Innovation in Startups: The Role of the Social Environment
	11. Understanding the Basics of Startup Development Organizations
Part III Measurement of Startup Performance
	12. Cultures of Evaluation: Leveraging Academia for Due Diligence in Angel Investments
	13. More Than Money: Considering Nonfinancial Measures of Organizational Performance in Startups
	14. Incentivizing Investors to Make Impactful Investments: Introducing a Model for Impact-Linked Carry
Part IV Concluding Remarks
	15. The Answer to Decreasing the Startup Failure Rate: Human Capital
Index
About the Editors