Publications

Purchase

1980
Article

Consumer Impulse Purchase and Credit Card Usage: An Empirical Examination Using the Log Linear Model

By: Rohit Deshpandé and S. Krishnan

Most of the work in impulse purchase behavior has investigated the association of socioeconomic variables and unplanned purchases with equivocal results. This paper examines the interrelationship between impulse purchases, credit card usage, cost of items bought, and... View Details

Keywords: Consumer Behavior; Mathematical Methods; Credit Cards; Income

September 2019
Case

Netflix: A Creative Approach to Culture and Agility

By: Ranjay Gulati, Allison Ciechanover and Jeff Huizinga

By 2018, Netflix had been credited for revolutionizing how viewers consumed entertainment—shifting from ad-fueled linear network programming to a highly personalized, on-demand, all-you-can-consume, ad-free model. The company was riding a long wave of revenue and... View Details

Keywords: Digital Technologies; Streaming; Video On Demand; International Expansion; Leadership; Information Technology; Entrepreneurship; Innovation and Management; Innovation Strategy; Leadership Style; Management Style; Organizational Culture; Entertainment; Media; Change Management; Expansion; Technology Industry; United States

Educators

Purchase

May 2016
Article

Matching with Slot-Specific Priorities: Theory

By: Scott Duke Kominers and Tayfun Sönmez

We introduce a two-sided, many-to-one matching with contracts model in which agents with unit demand match to branches that may have multiple slots available to accept contracts. Each slot has its own linear priority order over contracts; a branch chooses contracts by... View Details

Keywords: Matching With Contracts; Stability; Strategy-proofness; School Choice; Affirmative Action; Airline Seat Upgrades; Contracts; Market Design; Marketplace Matching; Balance and Stability

Research Summary

A Strategic Rationale for Having Overconfident Managers, 2004

We analyze whether it might be desirable for a firm to hire an overconfident manager for strategic reasons. We analyze a tournament type version of Bertrand competition and a linear demand Cournot model. In each case there is an R&D stage where firms can invest in cost... View Details

26 Sep 2023
Book

Digital Strategy: A Handbook for Managing a Moving Target

excitement and the growing enthusiasm, at times even the frenzy, about these new phenomena, on the grounds of the pressing demands on managers to deal with the new reality and on academics to understand these phenomena. “Existing strategy... View Details

Keywords: by Dina Gerdeman; Information Technology; Technology

2009
Article

Modeling Expert Opinions on Food Healthfulness: A Nutrition Metric

By: Jolie M. Martin, John Beshears, Katherine L. Milkman, Max H. Bazerman and Lisa Sutherland

Research over the last several decades indicates the failure of existing nutritional labels to substantially improve the healthiness of consumers' food and beverage choices. The difficulty for policy-makers is to encapsulate a wide body of scientific knowledge in a... View Details

Keywords: Judgments; Food; Nutrition; Labels; Knowledge Use and Leverage; Demand and Consumers; Measurement and Metrics; Mathematical Methods

October 2021
Article

Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

By: Nicolas Padilla and Eva Ascarza

The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details

Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Programs; Consumer Behavior; Analysis

2020
Working Paper

Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

By: Eva Ascarza

The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details

Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry

SSRN

Article

Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu

The most prevalent notions of fairness in machine learning are statistical definitions: they fix a small collection of pre-defined groups, and then ask for parity of some statistic of the classifier (like classification rate or false positive rate) across these groups.... View Details

Keywords: Machine Learning; Algorithms; Fairness; Mathematical Methods