Biography
Dr. Tyrone D. Smith Jr. is a scholar-practitioner, educator, and executive leader specializing in People Analytics, Human Resources, People Technology, Artificial Intelligence (AI), and organizational behavior and effectiveness. He brings extensive experience at the intersection of business strategy, workforce analytics, and human capital transformation across corporate, academic, and nonprofit sectors.
As a Management and Human Resources professor, Dr. Smith teaches undergraduate and graduate courses in management, organizational behavior, human resources, and analytics. His teaching philosophy emphasizes applied learning, data-informed decision making, and the responsible integration of emerging technologies—particularly AI—into organizational practice. He is deeply committed to creating inclusive, student-centered learning environments that connect theory to real-world organizational challenges.
Dr. Smith’s research and scholarly interests focus on AI-enabled HR decision making, people analytics, employee well-being, workforce planning, and the future of work. His work examines how organizations can leverage analytics and intelligent systems while preserving employee voice, trust, and ethical governance.
In addition to his academic work, Dr. Smith is globally recognized as a leader in People Analytics and AI in HR. He has been featured as a Top HR Tech Influencer by HR Executive and recognized by Black Enterprise for his leadership and impact. He actively serves on professional boards, advisory councils, and mentoring organizations, including the American Psychological Association and 100 Black Men of America, where he supports leadership development, education, and workforce readiness initiatives.
As a Management and Human Resources professor, Dr. Smith teaches undergraduate and graduate courses in management, organizational behavior, human resources, and analytics. His teaching philosophy emphasizes applied learning, data-informed decision making, and the responsible integration of emerging technologies—particularly AI—into organizational practice. He is deeply committed to creating inclusive, student-centered learning environments that connect theory to real-world organizational challenges.
Dr. Smith’s research and scholarly interests focus on AI-enabled HR decision making, people analytics, employee well-being, workforce planning, and the future of work. His work examines how organizations can leverage analytics and intelligent systems while preserving employee voice, trust, and ethical governance.
In addition to his academic work, Dr. Smith is globally recognized as a leader in People Analytics and AI in HR. He has been featured as a Top HR Tech Influencer by HR Executive and recognized by Black Enterprise for his leadership and impact. He actively serves on professional boards, advisory councils, and mentoring organizations, including the American Psychological Association and 100 Black Men of America, where he supports leadership development, education, and workforce readiness initiatives.
Research Interests
Areas in Management, Strategy, Organizational Behavior, Human Resource Management, and Artificial Intelligence (AI), including but not limited to:
People Analytics and Evidence-Based Decision Making
Human–AI Collaboration in the Workplace
Ethical, Responsible, and Governed Use of AI in Organizations
Workforce Analytics and Strategic Workforce Planning
Organizational Behavior in Digital and AI-Enabled Environments
Employee Well-Being, Burnout, and Sustainable Work Design
Technology Acceptance and Adoption in HR Systems
HR Technology and Digital Transformation
Future of Work and Workforce Reskilling
Data-Driven Leadership and Managerial Decision Making
People Analytics and Evidence-Based Decision Making
Human–AI Collaboration in the Workplace
Ethical, Responsible, and Governed Use of AI in Organizations
Workforce Analytics and Strategic Workforce Planning
Organizational Behavior in Digital and AI-Enabled Environments
Employee Well-Being, Burnout, and Sustainable Work Design
Technology Acceptance and Adoption in HR Systems
HR Technology and Digital Transformation
Future of Work and Workforce Reskilling
Data-Driven Leadership and Managerial Decision Making
Teaching Interests
My primary goal as a Management and Human Resources professor is to help students develop a strong understanding of human capital, organizational behavior, and HR strategy, while also building the analytical, critical-thinking, and collaborative skills required for success in today’s evolving, AI-enabled workplace. I strive to create an inclusive, student-centered learning environment where students are encouraged to actively connect theory to real-world organizational challenges.
To support these goals, I design courses that intentionally balance foundational concepts with applied learning. Informed by student feedback, I have expanded the use of interactive breakout sessions that incorporate real-world case discussions, role plays, and scenario-based simulations. These experiences promote active engagement, peer learning, and practical problem-solving. Additionally, I integrate group-based projects that require students to analyze contemporary HR and workforce issues—including the responsible use of artificial intelligence—and propose data-informed, actionable solutions. Through this approach, students strengthen their analytical capabilities, teamwork skills, and readiness to contribute effectively in modern organizations.
To support these goals, I design courses that intentionally balance foundational concepts with applied learning. Informed by student feedback, I have expanded the use of interactive breakout sessions that incorporate real-world case discussions, role plays, and scenario-based simulations. These experiences promote active engagement, peer learning, and practical problem-solving. Additionally, I integrate group-based projects that require students to analyze contemporary HR and workforce issues—including the responsible use of artificial intelligence—and propose data-informed, actionable solutions. Through this approach, students strengthen their analytical capabilities, teamwork skills, and readiness to contribute effectively in modern organizations.