1st Edition

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

Edited By Nikki Blacksmith, Maureen E. McCusker Copyright 2024
    314 Pages 2 Color & 24 B/W Illustrations
    by CRC Press

    314 Pages 2 Color & 24 B/W Illustrations
    by CRC Press

    314 Pages 2 Color & 24 B/W Illustrations
    by CRC Press

    Since the beginning of the 21st century, there has been an explosion in startup organizations. Together, these organizations have been valued at over $3 trillion. In 2019, alone, nearly $300 billion of venture capital was invested globally (Global Startup Ecosystem Report 2020). Simultaneously, an explosion in high volume and high velocity of big data is rapidly changing how organizations function. Gone are the days where organizations can make decisions solely on intuition, logic, or experience. Some have gone as far as to say that data is the most valuable currency and resource available to businesses, and startups are no exception. However, startups and small businesses do differ from their larger counterparts and corporations in three distinct ways: 1) they tend to have fewer resources, time, and specialized training to devote to data analytics; 2) they are part of a unique entrepreneurial ecosystem with unique needs; 3) scholarship and academic research on human capital data analytics in startups is lacking. Existing entrepreneurship research focuses almost exclusively on macro-level aspects. There has been little to no integration of micro- and meso-level research (i.e., individual and team sciences), which is unfortunate given how organizational scientists have significantly advanced human capital data analytics. 

    Unlike other books focused on data analytics and decision for organizations, this proposed book is purposefully designed to be more specifically aimed at addressing the unique idiosyncrasies of the science, research, and practice of startups. Each chapter highlights a specific organizational domain and discuss how a novel data analytic technique can help enhance decision-making, provides a tutorial of said regarding the data analytic technique, and lists references and resources for the respective data analytic technique. The volume will be grounded in sound theory and practice of organizational psychology, entrepreneurship and management and is divided into two parts:  assessing and evaluating human capital performance and the use of data analytics to manage human capital.  


    Chapter 1. Introduction

    Nikki Blacksmith, and Maureen McCusker

    Work Analysis-based Job Descriptions: The Secret to Finding the Right Startup Talent at the Right Time

    Neil Morelli

    Chapter 3. Identifying and Measuring Entrepreneurial Talent in the Age of Artificial Intelligence

    Nilima Ajaikumara, and Reece Akhtarb

    Chapter 4. Professional Human Capital Development for Startup Founders and Workers

    Jennifer Wisdom

    Chapter 5. Selection and Training for Teamwork: Implications for Diverse, Virtual, and Human-Machine Teams

    Samantha Dubrow, Sarah Resnick, and Anwesha Choudhury

    Chapter 6. Human Capital Due Diligence: Leveraging Psychometric Testing for Wiser Investment Decisions 

    Nikki Blacksmith, Kelly Diouf, and Maureen E. McCusker


    Chapter 7. Opportunity or Threat? Entrepreneurs’ Well-Being and Performance in the Data-Driven Era

    Yik Kiu Leung, and Christine Yin Man Fong

    Chapter 8. Using Data to Build More Diverse, Equitable, And Inclusive Startups

    Victoria Mattingly, Sertrice Grice, Kelsie Colley, and Anthony Roberson

    Chapter 9. An Introduction to the Utilization and Application of Text Analysis

    Dane Luke Wagner

    Chapter 10. Promoting Well-Being and Innovation in Startups: The Role of the Social Environment

    Lindsey M. Freier, and Ian M. Hughes

    Chapter 11. Understanding the Basics of Startup Development Organizations

    Allison Piper Kimball


    Chapter 12: Cultures of Evaluation: Leveraging Academia for Due Diligence in Angel Investments

    Jerome A. Katz

    Chapter 13: More Than Money: Considering Nonfinancial Measures of Organizational Performance in Startups

    Rosalyn G. Sandoval, and Holly D. Holladay-Sandidge

    Chapter 14: Incentivizing Investors to Make Impactful Investments: Introducing a Model for Impact-Linked Carry

    Jessica Hart, Karthik Varada, Tom Schmittzehe, and Tomas Rosales

    Chapter 15: The Answer to Decreasing the Startup Failure Rate: Human Capital

    Nikki Blacksmith


    Dr. Nikki Blacksmith is Co-Founder and CEO of Blackhawke Behavior Science and an adjunct faculty member at American University in Washington, DC. She serves as a Senior Research Fellow at the U.S. Army Research Institute for Social and Behavioral Sciences and is on the Board of Directors of a Sembramos, a nonprofit dedicated to building antiracist organizations. She is an Associate Editor for the journal Personnel Assessments and Decisions, a member of the editorial board for the Journal of Business and Psychology, and serves in multiple leadership roles for the Society for Industrial Organizational Psychology. Dr. Blacksmith received her M.A. from the University of North Carolina at Charlotte and her Ph.D. from the George Washington University in Industrial-Organizational Psychology.

    Dr. Maureen E. McCusker is Co-Founder & COO of Blackhawke Behavior Science and Senior Research Analyst at Virginia Commonwealth University. As an Industrial-Organizational Psychologist, she has spent the last decade working with and studying leaders and teams in organizations from a wide variety of sectors, including corporate Fortune 500, medical, legal, academic, military, and non-profit. She has earned several awards and grants for scholarly research from U.S. Department of Health and Human Services, Virginia Tech, and the Department of Defense. Dr. McCusker serves as a Senior Research Fellow for the U.S. Army Research Institute. She holds a Ph.D. and a M.S. in Industrial-Organizational Psychology from Virginia Tech and a B.A. in Psychology and French from Georgetown University.