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- 2021
- Working Paper
'Just Letting You Know…': Underestimating Others' Desire for Constructive Feedback
People often avoid giving feedback to others even when it would help fix a problem immediately. Indeed, in a pilot field study (N=155), only 2.6% of individuals provided feedback to survey administrators that the administrators had food or marker on their faces....
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Keywords:
Feedback;
Helping;
Prosocial Behavior;
Relationships;
Social Psychology;
Theory;
Perception
- August 2021
- Article
Multiple Imputation Using Gaussian Copulas
By: F.M. Hollenbach, I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward and A. Volfovsky
Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this paper, we present a simple-to-use...
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- 2021
- Working Paper
Impact Accounting for Product Use: A Framework and Industry-specific Models
By: George Serafeim and Katie Trinh
This handbook provides the first systematic attempt to generate a framework and industry-specific models for the measurement of impacts on customers and the environment from use of products and services, in monetary terms, that can then be reflected in financial...
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- May 2021
- Supplement
Odebrecht's 'Transformation Journey' (B)
By: Lynn S. Paine, Ruth Costas and Pedro Levindo
The case describes how Odebrecht’s board of directors handled the issues raised in the (A) case and continues the story of the Group’s efforts to restore its reputation and return to growth after admitting its role in Latin America’s largest-ever corruption scandal....
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- May 2021 (Revised October 2021)
- Teaching Note
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Ayelet Israeli and Jill Avery
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on...
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Keywords:
Data;
Data Analytics;
Artificial Intelligence;
AI;
AI Algorithms;
AI Creativity;
Fashion;
Retail;
Retail Analytics;
Digital Marketing;
E-commerce;
E-Commerce Strategy;
Platform;
Platforms;
Big Data;
Preference Elicitation;
Predictive Analytics;
App Development;
＂Marketing Analytics＂;
Advertising;
Mobile App;
Mobile Marketing;
Apparel;
Referral Rewards;
Referrals;
Female Ceo;
Female Entrepreneur;
Female Protagonist;
Data and Data Sets;
Analysis;
Creativity;
Marketing Strategy;
Brands and Branding;
Consumer Behavior;
Demand and Consumers;
Forecasting and Prediction;
Marketing Channels;
Online Advertising;
Online Technology;
Mobile Technology;
Fashion Industry;
Retail Industry;
Apparel and Accessories Industry;
Consumer Products Industry;
United States
- 2021
- Working Paper
Time Dependence and Preference: Implications for Compensation Structure and Shift Scheduling
By: Doug J. Chung, Byungyeon Kim and Byoung G. Park
This study jointly examines agents’ time dependence—period effects within instantaneous utility—and time preference—behavior on discounting future utility. The study considers the start- and end-of-period effects for time dependence and exponential and hyperbolic...
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- 2021
- Article
Leisure Beliefs and the Subjective Well-being of Nations
By: A.V. Whillans and Lucia Macchia
Here, we construct a data set of 79 countries (N = 220,000) and explore whether differences in the prioritization of time (leisure) vs. money (work) explain cross-country differences in happiness. Consistent with our predictions, countries whose citizens value leisure...
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Keywords:
Leisure;
Work;
Subjective Well-being;
Public Policy;
Employment;
Happiness;
Governance;
Policy
- January 2021 (Revised March 2021)
- Case
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Jill Avery, Ayelet Israeli and Emma von Maur
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on...
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Keywords:
Data;
Data Analytics;
Artificial Intelligence;
AI;
AI Algorithms;
AI Creativity;
Fashion;
Retail;
Retail Analytics;
Digital Marketing;
E-commerce;
E-Commerce Strategy;
Platform;
Platforms;
Big Data;
Preference Elicitation;
Preference Prediction;
Predictive Analytics;
App Development;
＂Marketing Analytics＂;
Advertising;
Mobile App;
Mobile Marketing;
Apparel;
Referral Rewards;
Referrals;
Female Ceo;
Female Entrepreneur;
Female Protagonist;
Data and Data Sets;
Analysis;
Creativity;
Marketing Strategy;
Brands and Branding;
Consumer Behavior;
Demand and Consumers;
Forecasting and Prediction;
Marketing Channels;
Online Advertising;
Online Technology;
Mobile Technology;
Fashion Industry;
Retail Industry;
Apparel and Accessories Industry;
Consumer Products Industry;
United States
- 2020
- Book
Capitalism at Risk: How Business Can Lead
Who should take the lead in fixing market capitalism? Business—not government alone. The spread of capitalism worldwide has made people wealthier than ever before. But capitalism's future is far from assured. Pandemics, income inequality, resource depletion, mass...
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- June 2020
- Article
Lazy Prices
By: Lauren Cohen, Christopher J. Malloy and Quoc Nguyen
We explore the implications of a subtle "default" choice that firms make in their regular reporting practices, namely that firms typically repeat what they most recently reported. Using the complete history of regular quarterly and annual filings by U.S. corporations...
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- June 2020
- Article
The Isolated Choice Effect and Its Implications for Gender Diversity in Organizations
By: Edward H. Chang, Erika L. Kirgios, Aneesh Rai and Katherine L. Milkman
We highlight a feature of personnel selection decisions that can influence the gender diversity of groups and teams. Specifically, we show that people are less likely to choose candidates whose gender would increase group diversity when making personnel selections in...
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- September 2019 (Revised May 2020)
- Supplement
Keroche (F): Future Growth Plans
By: Ramon Casadesus-Masanell and Pippa Tubman Armerding
This case describes Keroche co-founder Tabitha Karanja’s 2012 decision to invest in additional production capacity. In November 2012, with a loan from Barclay’s bank, Keroche began constructing a new state-of-the-art beer brewery using German technology. The new plant,...
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Keywords:
Keroche;
Alcohol;
Aloholic Beverages;
Beer;
Production Capacity;
Growth;
Business Ventures;
Business Exit or Shutdown;
Business Growth and Maturation;
Business Startups;
Small Business;
Family Business;
Crime and Corruption;
Customer Focus and Relationships;
Decisions;
Income;
Demographics;
Geographic Scope;
Geographic Location;
Goods and Commodities;
Government Legislation;
Growth and Development;
Business History;
Lawsuits and Litigation;
Laws and Statutes;
Lawfulness;
Goals and Objectives;
Consumer Behavior;
Market Entry and Exit;
Problems and Challenges;
Safety;
Social Issues;
Poverty;
Strategy;
Competition;
Entrepreneurship;
Manufacturing Industry;
Food and Beverage Industry;
Kenya;
Nairobi;
Africa
- September 2019
- Article
Optimizing Reserves in School Choice: A Dynamic Programming Approach
By: Franklyn Wang, Ravi Jagadeesan and Scott Duke Kominers
We introduce a new model of school choice with reserves in which a social planner is constrained by a limited supply of reserve seats and tries to find an optimal matching according to a social welfare function. We construct the optimal distribution of reserves via a...
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- September 2019
- Article
The Interpersonal Costs of Dishonesty: How Dishonest Behavior Reduces Individuals' Ability to Read Others' Emotions
By: J.J. Lee, H. Hardin, B. Parmar and F. Gino
In this research, we examine the unintended consequences of dishonest behavior for one’s interpersonal abilities and subsequent ethical behavior. Specifically, we unpack how dishonest conduct can reduce one’s generalized empathic accuracy—the ability to accurately read...
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- February 2019
- Article
Pettiness in Social Exchange
By: Tami Kim, Ting Zhang and Michael I. Norton
We identify and document a novel construct—pettiness, or intentional attentiveness to trivial details—and examine its (negative) implications in interpersonal relationships and social exchange. Seven studies show that pettiness manifests across different types of...
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- January 2019 (Revised February 2020)
- Case
Should a Pension Fund Try to Change the World? Inside GPIF's Embrace of ESG
In the fall of 2018, Hiro Mizuno, the Chief Investment Officer (CIO) of GPIF, the Japanese Government Pension Fund, was reflecting on his efforts to integrate Environmental, Social and Governance (ESG) issues into every aspect of GPIF’s portfolio. His efforts ranged...
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- 2019
- Working Paper
Does Public Ownership and Accountability Increase Diversity? Evidence from IPOs
By: Rembrand Koning and John-Paul Ferguson
Does public ownership improve employment diversity? Organizational researchers theorize that increased transparency to regulators and the public should lead firms to conform to legal and social norms—but that social closure and decoupling should preserve the status...
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Keywords:
IPO;
Initial Public Offering;
Employees;
Diversity;
Gender;
Race;
Entrepreneurship;
United States
- January–February 2019
- Article
Corporate Purpose and Financial Performance
By: Claudine Gartenberg, Andrea Prat and George Serafeim
We construct a measure of corporate purpose within a sample of U.S. companies based on approximately 500,000 survey responses of worker perceptions about their employers. We find that this measure of purpose is not related to financial performance. However, high...
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- 2019
- Book
Creative Construction: The DNA of Sustained Innovation
By: Gary P. Pisano
Creative Construction tackles the myth that larger enterprises are inherently incapable of transformative innovation and are doomed to be disrupted by nimble start-ups. If larger enterprises seem incapable of transformative innovation, it is due to how we design...
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- September 2018
- Article
Aggregation of Consumer Ratings: An Application to Yelp.com
By: Weijia Dai, Ginger Jin, Jungmin Lee and Michael Luca
Because consumer reviews leverage the wisdom of the crowd, the way in which they are aggregated is a central decision faced by platforms. We explore this "rating aggregation problem" and offer a structural approach to solving it, allowing for (1) reviewers to vary in...
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