Biography and education

Dr. Sidney “Skip” Anderson is an Associate Professor of Marketing whose research and teaching center on artificial intelligence in marketing. He earned his PhD in Marketing (2016) from Florida State University, following an MBA (2011) and a B.S. in Computer Information Systems (2000) from the University of Central Missouri — a combination that bridges marketing scholarship with the technical foundations of AI systems.

As the Scott Emerson Professor of Business Administration, Skip advances McCoy College’s strategic goals in AI through high-quality marketing-focused research, curriculum development, and faculty and student learning initiatives. In this role, Skip collaborates with faculty, administrators, and industry partners to determine how AI-related content could be integrated into the curriculum to keep pace with industry and student demands.

Skip’s research program sits at the intersection of marketing and AI. He explores how AI impacts the intersection of marketing and other disciplines (e.g., operations management, economics, and healthcare). His work has been published in Journal of Service Research, Decision Sciences, Psychology & Marketing, European Journal of Marketing, Journal of Macromarketing, Journal of Business Research, International Journal of Operations & Production Management, Journal of Marketing Analytics, Health Marketing Quarterly, Journal of Retailing & Consumer Services, Journal of Marketing Theory and Practice, and others.

Underpinning this research agenda is 25+ years of data governance and management expertise, which Skip now operationalizes through agentic AI. Drawing on a foundation in Informatica, Python, SQL, and advanced Excel, he directs AI agents to execute the data governance, migration, integration, and quality-assurance work that once required hands-on technical labor, while continuing to ensure privacy, security, and regulatory compliance. His ability to translate functional requirements into technical specifications, build trusted data repositories, and foster a data-centric culture now scales through AI-driven execution, allowing him to apply the very technologies he studies to the data infrastructure that supports his scholarship and consulting.

Teaching Interests

Research Interests