Publications
Publications
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- 2025
- Working Paper
New Product Diffusion Within Retailers: The Effect of Managerial Quality on Rollout
By: Tomomichi Amano and Jorge Tamayo
Retailers are key intermediaries through which consumers encounter innovation in the form of new products. How are these products rolled out within retailers? We observe significant variation in the availability of new products across stores in a large retail chain in... View Details
- 2025
- Working Paper
Impact Investing and Worker Outcomes
By: Josh Lerner, Markus Lithell and Gordon M. Phillips
Impact investors claim to distinguish themselves from traditional venture capital and growth
equity investors by also pursuing ESG objectives. Whether they successfully do so in practice
is unclear. We use confidential Census Bureau microdata to assess worker... View Details
- January 2025
- Case
The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation (A)
By: Tsedal Neeley, Levi Stroud, Ruth Page and Dave Habeeb
Pre-abstract:
This multimedia case should be assigned to students in advance of class. Instructors should consider the timing of making the (B) Case videos available to students, as they may reveal key case details.
Abstract:
Florian Hillen, co-founder and CEO of... View Details
Keywords: AI; Adoption; Diagnostics; Organization Design; Change Management; Disruption; Transformation; Health Care and Treatment; AI and Machine Learning; Technology Adoption; Disruptive Innovation; Technological Innovation; Management Style; Organizational Culture; Success; Technology Industry; Health Industry; United States
- January 2025
- Supplement
The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation (B)
By: Tsedal Neeley, Levi Stroud, Ruth Page and Dave Habeeb
Pre-abstract:
This multimedia case should be assigned to students in advance of class. Instructors should consider the timing of making the (B) Case videos available to students, as they may reveal key case details.
Abstract:
Florian Hillen, co-founder and CEO of... View Details
Keywords: AI; Adoption; Diagnostics; Organization Design; Change Management; Disruption; Transformation; Health Care and Treatment; AI and Machine Learning; Technology Adoption; Disruptive Innovation; Technological Innovation; Management Style; Organizational Culture; Success; Technology Industry; Health Industry; United States
- December 2024
- Article
Public Attitudes on Performance for Algorithmic and Human Decision-Makers
By: Kirk Bansak and Elisabeth Paulson
This study explores public preferences for algorithmic and human decision-makers (DMs) in high-stakes contexts, how these preferences are shaped by performance metrics, and whether public evaluations of performance differ depending on the type of DM. Leveraging a... View Details
- 2024
- Working Paper
Why Has Construction Productivity Stagnated? The Role of Land-Use Regulation
By: Leonardo D’Amico, Edward Glaeser, Joseph Gyourko, William Kerr and Giacomo A. M. Ponzetto
We document a Kuznets curve for construction productivity in 20th-century America.
Homes built per construction worker remained stagnant between 1900 and 1940, boomed after
World War II, and then plummeted after 1970. The productivity boom from 1940 to 1970
shows... View Details
- November 5, 2024
- Article
The International Empirics of Management
By: Daniela Scur, Scott Ohlmacher, John Van Reenen, Morten Bennedsen, Nick Bloom, Ali Choudhary, Lucia Foster, Jesse Groenewegen, Arti Grover, Sjoerd Hardeman, Leonardo Iacovone, Ryo Kambayashi, Marie-Christine Laible, Renata Lemos, Hongbin Li, Andrea Linarello, Mika Maliranta, Denis Medvedev, Charlotte Meng, John Miles Touya, Natalia Mandirola, Roope Ohlsbom, Atsushi Ohyama, Megha Patnaik, Mariana Pereira-López, Raffaella Sadun, Tatsuro Senga, Franklin Qian and Florian Zimmermann
A country’s national income broadly depends on the quantity and quality of workers and capital. But how well these factors are managed within and between firms may be a key determinant of a country’s productivity and its GDP. Although social scientists have long... View Details
- September 2024
- Article
Activist Directors: Determinants and Consequences
By: Ian D. Gow, Sa-Pyung Sean Shin and Suraj Srinivasan
This paper examines determinants and consequences of hedge fund activism, focusing on activist directors, i.e., directors appointed in response to activist demands. Using a sample of 3,259 activism events from 2004 to 2016, we identify 1,623 activist directors.... View Details
- August, 2024
- Article
Absenteeism, Productivity, and Relational Contracts Inside the Firm
By: Achyuta Adhvaryu, Jean-François Gauthier, Anant Nyshadham and Jorge Tamayo
We study relational contracts among managers using a unique dataset that tracks transfers of workers across teams in Indian ready-made garment factories. We focus on how relational contracts help managers cope with worker absenteeism shocks, which are frequent, often... View Details
- July 2024 (Revised January 2025)
- Case
Rockefeller Philanthropy Advisors: Bringing Systematic Investment to Philanthropy
By: Lauren Cohen, Hao Gao, Alexander Bischoff and Sophia Pan
Melissa Berman, CEO of Rockefeller Philanthropy Advisors (RPA), evaluated her client’s philanthropy project and its mediocre performance. RPA was a segment of the Rockefeller Family Office’s Philanthropy Department, becoming an independent charity in 2002. Consistently... View Details
Keywords: Philanthropy; Philanthropic Sector; Performance Evaluations; Social Network; Collaboration; Foundation; Due Diligence; Humanitarianism; Humanitarian Assistance; Grants; Expertise; HNW Products And Services; Donations; Impact; Advisor; Advice; Consulting; Funding; Consulting Services; Family Business; Cost vs Benefits; Developing Countries and Economies; Private Sector; Spending; Mission and Purpose; Philanthropy and Charitable Giving; Performance Evaluation; Nonprofit Organizations; Reputation; Social and Collaborative Networks; Social Issues; Wealth and Poverty; Consulting Industry; New York (city, NY); New York (state, US); United States
- 2024
- Working Paper
AI Companions Reduce Loneliness
By: Julian De Freitas, Ahmet K. Uğuralp, Zeliha O. Uğuralp and Stefano Puntoni
Chatbots are now able to engage in sophisticated conversations with consumers in the domain of relationships, providing a potential coping solution to widescale societal loneliness. Behavioral research provides little insight into whether these applications are... View Details
- May 2024
- Article
Going Beyond the 'Self' in Self-control: Interpersonal Consequences of Commitment Strategies
By: Ariella S. Kristal and Julian Zlatev
Commitment strategies are effective mechanisms individuals can use to overcome self-control problems. Across seven studies (and two supplemental studies), we explore the negative interpersonal consequences of commitment strategy choice and use. In Study 1, using an... View Details
- 2024
- Working Paper
Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions
By: Caleb Kwon, Ananth Raman and Jorge Tamayo
We investigate whether corporate officers should grant managers discretion to override AI-driven demand forecasts and labor scheduling tools. Analyzing five years of administrative data from a large grocery retailer using such an AI tool, encompassing over 500 stores,... View Details
- 2024
- Working Paper
Does the Case for Private Equity Still Hold?
By: Nori Gerardo Lietz and Philipp Chvanov
Private Equity (“PE”) received a 10-fold increase in capital flows since the Great Financial Crisis (“GFC”) Investors sought higher nominal returns relative to those they could obtain in the public capital markets. This paper questions the fundamental assumptions... View Details
- April 2024
- Article
Fee Variation in Private Equity
By: Juliane Begenau and Emil N. Siriwardane
We study how investment fees vary within private-capital funds. Net-of-fee return clustering suggests that most funds have two tiers of fees, and we decompose differences across tiers into both management and performance-based fees. Managers of venture capital funds... View Details
- 2024
- Working Paper
The Cram Method for Efficient Simultaneous Learning and Evaluation
By: Zeyang Jia, Kosuke Imai and Michael Lingzhi Li
We introduce the "cram" method, a general and efficient approach to simultaneous learning and evaluation using a generic machine learning (ML) algorithm. In a single pass of batched data, the proposed method repeatedly trains an ML algorithm and tests its empirical... View Details
Keywords: AI and Machine Learning
- 2025
- Working Paper
Choosing and Using Information in Evaluation Decisions
By: Katherine Baldiga Coffman, Scott Kostyshak and Perihan O. Saygin
We use a controlled experiment to study how information acquisition impacts candidate evaluations. We provide evaluators with group-level information on performance and the opportunity to acquire additional, individual-level performance information before making a... View Details
- 2024
- Working Paper
The Impact of Culture Consistency on Subunit Outcomes
By: Jasmijn Bol, Robert Grasser, Serena Loftus and Tatiana Sandino
We examine the association between subunit culture consistency—defined as the congruence between the organizational values espoused by top management and those perceived and practiced by subunit employees—and subunit outcomes. Using data from 235 subunits of a... View Details
- 2023
- Article
Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset
By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li
Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details
- May 2023
- Article
Incentive Effects of Subjective Allocations of Rewards and Penalties
By: Wei Cai, Susanna Gallani and Jee-Eun Shin
We examine the incentive effects of subjectivity in allocating tournament-based rewards and punishments. We use data from a company where reward and punishment decisions are based on a combination of objective metrics and subjective performance assessments. Rankings... View Details