His expertise focuses on analyzing, modeling and forecasting customer behavior in data-rich environments. His primary research, teaching and business consulting interests are focused in areas of retail and service marketing, customer value and relationship management, and marketing models for customer-base analysis and decision support. In his research projects, Thomas works in interdisciplinary teams and employs advanced statistical or machine learning methods to provide decision support for issues of managerial relevance. Ongoing projects include applying natural language generation models for content marketing, dynamics in evolving customer-firm relationships, models for customer valuation and targeted promotions. Thomas' prior research has appeared in various marketing and operations research journals.
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