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Liu Cathy YANG

Professeur Associé

Information Systems et Operations Management

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Biographie

Cathy (Liu) Yang holds a Ph.D. in Marketing and a Master's in Operations Research from Columbia University. Her main research interest is how artificial intelligence (AI) or algorithms broadly impact consumers and firms. Her other research interests include preference measurement and behavioral economics. Cathy has received the Paul E. Green Award for contributions to the practice of Marketing Research.

Cathy is a member of the American Marketing Association (AMA) and the Institute for Operations Research and the Management Sciences (INFORMS). She is an ad-hoc reviewer for Management Science, Marketing Science, Information Systems Research, Journal of Marketing Research, Operations Research, Journal of Consumer Research, etc.

Cathy teaches data analytics in the Grande École program and various master's programs.

Articles scientifiques

Algorithmic versus Human Advice: Does Presenting Prediction Performance Matter for Algorithm Appreciation?

Journal of Management Information Systems, juin 2022, vol. 39, n° 2, pp 336-365, (in coll. with S. YOU, X. LI)

Attention, Information Processing and Choice in Incentive-Aligned Choice Experiments

Journal of Marketing Research, 3 février 2018, vol. 55, n° 6, pp 783-800, (in coll. with O. TOUBIA, M. G. DE JONG)

A bounded rationality model of information search and choice in preference measurement

Journal of Marketing Research, avril 2015, vol. 52, n° 2, pp 166-183, (in coll. with O. TOUBIA, M. DE JONG)

Actes de conférence

GPT in the Loop: Evidence from the Field

57th Hawaii International Conference on System Sciences , 2024 (L. ALLEN, D. RESTREPO AMARILES, A. C. TROUSSEL)

Cahiers de recherche

Articles scientifiques

Algorithmic versus Human Advice: Does Presenting Prediction Performance Matter for Algorithm Appreciation?

Journal of Management Information Systems, juin 2022, vol. 39, n° 2, pp 336-365, (in coll. with S. YOU, X. LI)

Attention, Information Processing and Choice in Incentive-Aligned Choice Experiments

Journal of Marketing Research, 3 février 2018, vol. 55, n° 6, pp 783-800, (in coll. with O. TOUBIA, M. G. DE JONG)

A bounded rationality model of information search and choice in preference measurement

Journal of Marketing Research, avril 2015, vol. 52, n° 2, pp 166-183, (in coll. with O. TOUBIA, M. DE JONG)

Actes de conférence

GPT in the Loop: Evidence from the Field

57th Hawaii International Conference on System Sciences , 2024 (L. ALLEN, D. RESTREPO AMARILES, A. C. TROUSSEL)

Cahiers de recherche

GPT in the Loop: Evidence from the Field

Cahier de Recherche du Groupe HEC , 2023

Formation

  • Ph.D., Columbia University - Etats-Unis
  • Master of Philosophy, Science, Marketing, Columbia Business School - Etats-Unis
  • Master of Science in Engineering Management Systems, Columbia University - Etats-Unis
  • Bachelor of Science, Electrical Engineering, Peking University - Chine

Nominations académiques

Responsabilités académiques à HEC

  • 2022- Professeur Associé, Information Systems and Operations Management HEC Paris
  • 2021-2022 Professeur Assistant, Information Systems and Operations Management HEC Paris

Activités scientifiques

Adhésion à l'organisation académique ou professionnelle

  • Membre, INFORMS
  • Membre, American Marketing Association
  • European Marketing Academy

Prix ​​& honneurs

  • 2016 Prix Fondation HEC pour le meilleur article "A Bounded Rationality Model of Information Search and Choice in Preference Measurement"Journal of Marketing Research, en coll. avec O. TOUBIA, M. DE JONG
  • 2016 2015 Paul E. Green award for Journal of Marketing Research paper "A Bounded Rationality Model of Information Search and Choice in Preference Measurement"
  • 2015 HEC foundation F-budget