Professor Israeli utilizes econometric methods and field experiments to study data-driven decision making in marketing contexts. Her research focuses on how businesses can leverage their own data, customer data, and market data to improve outcomes, with particular emphasis on omni-channel e-commerce markets. She studies important topics including pricing strategy, channel management, marketing analytics, and algorithmic bias. Her work has demonstrated the value of descriptive analytics for retailers and has shown that online consumers can influence pricing by conducting due diligence. Israeli has published her work in leading journals, receiving several accolades linked to her impactful findings. Professor Israeli's contributions to academic literature and business practices highlight the critical role of data and AI in decision-making processes, along with the responsibilities firms hold towards unbiased practices in marketing. Her teaching includes various MBA courses at Harvard, and she was recognized for her innovative work during the transition to online teaching.
Harvard Business School • Boston, MA
Teaches courses related to marketing and oversees research initiatives.