Data-Driven Decision Making in Entrepreneurship : Tools for Maximizing Human Capital.
Published
[Place of publication not identified] : CRC Press, 2024.
Status
Available Online
Description
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.
More Details
Format
Edition
First edition.
Language
English
ISBN
9781003196853, 1003196853, 9781040017647, 1040017649, 9781040017630, 1040017630
UPC
10.1201/9781003196853
Notes
Description
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.
Biographical or Historical Data
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.
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O'Reilly O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
Blackmith, N., & E. McCusker, M. (2024). Data-Driven Decision Making in Entrepreneurship: Tools for Maximizing Human Capital (First edition.). CRC Press.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Blackmith, Nikki and Maureen E. McCusker. 2024. Data-Driven Decision Making in Entrepreneurship: Tools for Maximizing Human Capital. [Place of publication not identified]: CRC Press.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Blackmith, Nikki and Maureen E. McCusker. Data-Driven Decision Making in Entrepreneurship: Tools for Maximizing Human Capital [Place of publication not identified]: CRC Press, 2024.
Harvard Citation (style guide)Blackmith, N. and E. McCusker, M. (2024). Data-driven decision making in entrepreneurship: tools for maximizing human capital. First edn. [Place of publication not identified]: CRC Press.
MLA Citation, 9th Edition (style guide)Blackmith, Nikki, and Maureen E. McCusker. Data-Driven Decision Making in Entrepreneurship: Tools for Maximizing Human Capital First edition., CRC Press, 2024.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouped Work ID
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Grouping Information
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| Author | crc press |
| Grouping Category | book |
| Last Update | 2025-01-24 12:33:29PM |
| Last Indexed | 2025-05-22 03:44:52AM |
Book Cover Information
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| First Loaded | Feb 13, 2025 |
| Last Used | Feb 13, 2025 |
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| 505 | 0 | |a PART I: HUMAN CAPITAL ASSESSMENT AND DEVELOPMENTChapter 1. IntroductionNikki Blacksmith, and Maureen McCuskerWork Analysis-based Job Descriptions: The Secret to Finding the Right Startup Talent at the Right TimeNeil MorelliChapter 3. Identifying and Measuring Entrepreneurial Talent in the Age of Artificial IntelligenceNilima Ajaikumara, and Reece AkhtarbChapter 4. Professional Human Capital Development for Startup Founders and WorkersJennifer WisdomChapter 5. Selection and Training for Teamwork: Implications for Diverse, Virtual, and Human-Machine TeamsSamantha Dubrow, Sarah Resnick, and Anwesha ChoudhuryChapter 6. Human Capital Due Diligence: LeveragingPsychometric Testing for Wiser Investment DecisionsNikki Blacksmith, Kelly Diouf, and Maureen E. McCuskerPART II: STARTUP SITUATIONS, ENVIRONMENTS, AND SUPPORT SYSTEMSChapter 7. Opportunity or Threat? Entrepreneurs' Well-Being and Performance in the Data-Driven EraYik Kiu Leung, and Christine Yin Man FongChapter 8. Using Data to Build More Diverse, Equitable, And Inclusive StartupsVictoria Mattingly, Sertrice Grice, Kelsie Colley, and Anthony RobersonChapter 9. An Introduction to the Utilization and Application of Text AnalysisDane Luke WagnerChapter 10. Promoting Well-Being and Innovation in Startups: The Role of the Social EnvironmentLindsey M. Freier, and Ian M. HughesChapter 11. Understanding the Basics of Startup Development OrganizationsAllison Piper KimballPART III: MEASUREMENT OF STARTUP PERFORMANCEChapter 12: Cultures of Evaluation: Leveraging Academia for Due Diligence in Angel InvestmentsJerome A. KatzChapter 13: More Than Money: Considering Nonfinancial Measures of Organizational Performance in StartupsRosalyn G. Sandoval, and Holly D. Holladay-SandidgeChapter 14: Incentivizing Investors to Make Impactful Investments: Introducing a Model for Impact-Linked CarryJessica Hart, Karthik Varada, Tom Schmittzehe, and Tomas RosalesChapter 15: The Answer to Decreasing the Startup Failure Rate: Human CapitalNikki Blacksmith | |
| 520 | |a 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. | ||
| 545 | 0 | |a 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. | |
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