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- 1989
- Article
The Creative Environment Scales: The Work Environment Inventory
By: T. M. Amabile and N. Gryskiewicz
The Creative Environment Scales Work Environment Inventory (WEI) is a new paper-and-pencil instrument designed to assess stimulants and obstacles to creativity in the work environment. Unlike many instruments that are designed as comprehensive descriptions of the work... View Details
Keywords: Creativity; Innovation and Invention; Working Conditions; Management Analysis, Tools, and Techniques
Amabile, T. M., and N. Gryskiewicz. "The Creative Environment Scales: The Work Environment Inventory." Creativity Research Journal 2 (1989): 231–254.
- 1976
- Book
Discrimination in Rural Housing
By: Dutch Leonard, Janet K. Marantz and Karl E. Case
Leonard, Dutch, Janet K. Marantz, and Karl E. Case. Discrimination in Rural Housing. Lexington, MA: D.C. Heath and Company, 1976.
- Forthcoming
- Article
Dynamic Competition for Customer Memberships
By: Cristian Chica, Julian Jimenez-Cardenas and Jorge Tamayo
A competitive two-period membership (subscription) market is analyzed. Two symmetric firms charge a “membership” fee that allows consumers to buy products or services at a given unit price for both periods. Firms can choose between long- or short-term memberships. When... View Details
Keywords: Competitive Price Discrimination; Membership; Dynamic Competition; Competition; Price; Consumer Behavior; Business Model
Chica, Cristian, Julian Jimenez-Cardenas, and Jorge Tamayo. "Dynamic Competition for Customer Memberships." Journal of Economics & Management Strategy (forthcoming). (Pre-published online August 12, 2024.)
- Forthcoming
- Article
Gender and Preferences for Performance Feedback
By: Katherine Baldiga Coffman and David Klinowski
Across multiple studies, we investigate whether there are gender differences in preferences for receiving performance feedback. We vary many features of the feedback context: whether the performance task is a cognitive test or a mock interview, whether the feedback is... View Details
Coffman, Katherine Baldiga, and David Klinowski. "Gender and Preferences for Performance Feedback." Management Science (forthcoming). (Pre-published online August 7, 2024.)
- Forthcoming
- Article
Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming).
- Research Summary
Making Machine Learning Models Fair
The goal of this research direction is to ensure that the machine learning models we build and deploy do not discriminate against individuals from minority groups. View Details
- Forthcoming
- Article
Non-Binary Gender Economics
By: Katherine B. Coffman, Lucas C. Coffman and Keith Marzilli Ericson
Economics research has largely overlooked non-binary individuals. We aim to jump-start the literature by providing data on several economically-important beliefs and preferences. Among many results, non-binary individuals report more gender-based discrimination and... View Details
- Research Summary
Overview
By: Jorge Tamayo
Professor Tamayo’s research focuses on theoretical modeling and structural estimation of firm decision-making and productivity.
Professor Tamayo studies dynamic competition for customer membership. Generally, firms that implement a membership model charge a... View Details
Professor Tamayo studies dynamic competition for customer membership. Generally, firms that implement a membership model charge a... View Details
- Research Summary
Overview
By: Ayelet Israeli
Professor Israeli utilizes econometric methods and field experiments to study data driven decision making in marketing context. Her research focuses on data-driven marketing, with an emphasis on how businesses can leverage their own data, customer data, and market data... View Details
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