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Data-driven decision making in the entrepreneurship / editors, Nikki Blacksmith, Co-founder & CEO of Blackhawke Behavior Science, Washington, DC, USA, Maureen E. McCusker, Co-Founder, Blackhawke Behavior Science, Senior Manager, Talent Analytics, Marriott International, Richmond, VA, USA.

Contributor(s): Publisher: Boca Raton, FL : CRC Press, Taylor & Francis Group, 2024Edition: First editionDescription: xvi, 296 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781032052786
Subject(s): DDC classification:
  • 23 658.3 D26 2024
LOC classification:
  • HD4904.7 .D375 2024
Contents:
Introduction. Work Analysis-based Job Descriptions: The Secret to Finding the Right Startup Talent at the Right Time. Identifying and Measuring Entrepreneurial Talent in the Age of Artificial Intelligence. Professional Human Capital Development for Startup Founders and Workers. Selection and Training for Teamwork: Implications for Diverse, Virtual, and Human-Machine Teams. Human Capital Due Diligence: Leveraging Psychometric Testing for Wiser Investment Decisions. Opportunity or Threat? Entrepreneurs’ Well-Being and Performance in the Data-Driven Era. Using Data to Build More Diverse, Equitable, And Inclusive Startups. An Introduction to the Utilization and Application of Text Analysis. Promoting Well-Being and Innovation in Startups: The Role of the Social Environment. Understanding the Basics of Startup Development Organizations. Cultures of Evaluation: Leveraging Academia for Due Diligence in Angel Investments. More Than Money: Considering Nonfinancial Measures of Organizational Performance in Startups. Incentivizing Investors to Make Impactful Investments: Introducing a Model for Impact-Linked Carry. The Answer to Decreasing the Startup Failure Rate: Human Capital.
Summary: "A large gap in entrepreneurship research exists when it comes to human capital data analytics. However, organizational sciences have made significant advancements in this area. This proposed book will discuss data analytics for human capital management in entrepreneurship. The volume will be grounded in sound theory and discuss practical applications. It is divided into two parts: 1. Assessing and evaluating human capital performance, 2. Managing and accelerating human capital. Each chapter will: 1. Highlight a novel data analytic technique and its utility for a specific organizational domain 2. Provide a tutorial and 3. A list of resources for the respective data analytic technique"-- Provided by publisher.
Holdings
Item type Current library Collection Call number Status Barcode
Books Books College Library General Circulation Section GC GC 658.3 D26 2024 (Browse shelf(Opens below)) Available HNU005670

Includes bibliographical references and index.

Introduction. Work Analysis-based Job Descriptions: The Secret to Finding the Right Startup Talent at the Right Time. Identifying and Measuring Entrepreneurial Talent in the Age of Artificial Intelligence. Professional Human Capital Development for Startup Founders and Workers. Selection and Training for Teamwork: Implications for Diverse, Virtual, and Human-Machine Teams. Human Capital Due Diligence: Leveraging Psychometric Testing for Wiser Investment Decisions. Opportunity or Threat? Entrepreneurs’ Well-Being and Performance in the Data-Driven Era. Using Data to Build More Diverse, Equitable, And Inclusive Startups. An Introduction to the Utilization and Application of Text Analysis. Promoting Well-Being and Innovation in Startups: The Role of the Social Environment. Understanding the Basics of Startup Development Organizations. Cultures of Evaluation: Leveraging Academia for Due Diligence in Angel Investments. More Than Money: Considering Nonfinancial Measures of Organizational Performance in Startups. Incentivizing Investors to Make Impactful Investments: Introducing a Model for Impact-Linked Carry. The Answer to Decreasing the Startup Failure Rate: Human Capital.

"A large gap in entrepreneurship research exists when it comes to human capital data analytics. However, organizational sciences have made significant advancements in this area. This proposed book will discuss data analytics for human capital management in entrepreneurship. The volume will be grounded in sound theory and discuss practical applications. It is divided into two parts: 1. Assessing and evaluating human capital performance, 2. Managing and accelerating human capital. Each chapter will: 1. Highlight a novel data analytic technique and its utility for a specific organizational domain 2. Provide a tutorial and 3. A list of resources for the respective data analytic technique"-- Provided by publisher.

College of Business and Accountancy Bachelor of Science in Business Administration major in Financial Management

English

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