Nikki Zotto, PhD
Organizational Development Consultant
Technology Adoption, Training & Change Management for Real Estate & Associations · Adjunct Faculty · Speaker
Dr. Nikki Zotto is an organizational development consultant and scholar-practitioner who helps brokerages, associations, and growth-stage organizations adopt new technology and scale performance without unnecessary complexity.
With nearly two decades of experience across real estate, higher education, and organizational development, she focuses on leadership structure, decision-making, accountability, and the systems needed for consistent execution. She has led learning, adoption, and change management initiatives for enterprise technology rollouts across multiple markets.
Dr. Zotto holds a PhD in General Psychology with an emphasis in Industrial-Organizational Psychology, and her research examines how women advance into management roles in residential real estate. She speaks, coaches, and leads workshops on technology adoption, organizational development, and leadership. She also serves as adjunct faculty at Grand Canyon University’s Colangelo College of Business, where she taught on campus for five semesters and now teaches online from New York City.
Nikki prioritizes clarity over noise, integrity over impulse, and long-term alignment over short-term momentum.
Female Residential Real Estate Brokers’ Career Progression Toward Management
A Qualitative Descriptive Inquiry
Dr. Zotto’s completed dissertation examined how female residential real estate brokers describe their experiences advancing into management, a phenomenon that remains underexamined within industrial-organizational psychology. Drawing on in-depth interviews with 12 licensed brokers across the United States, each with at least ten years in the industry and management responsibility for a brokerage of ten or more licensees, the study found that advancement into management is an unplanned, relational, and context-dependent process shaped by individual agency, relational access, and structural variability.