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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

Keywords: Governing and Advisory Boards; Investment Activism; Business and Shareholder Relations

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July 2024
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

June 2024
Article

Going Digital: Implications for Firm Value and Performance

By: Wilbur Chen and Suraj Srinivasan

We examine firm value and performance implications of the growing trend of non-technology companies engaging in digital transformation. We measure digital activities in firms based on the disclosure of digital words in the business description section of 10-Ks. Digital... View Details

Keywords: Digital Technologies; Valuation; Return Predictability; Financial Statement Analysis; Performance; Value; Information Technology

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2024
Working Paper

Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference

By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov

Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to... View Details

Keywords: Mathematical Methods; Analytics and Data Science

March 2024
Article

Investigation of Divergent Thinking among Surgeons and Surgeon Trainees in Canada (IDEAS): A Mixed-methods Study

By: Alex Thabane, Tyler McKechnie, Vikram Arora, Goran Calic, Jason W Busse, Ranil Sonnadara and Mohit Bhandari

Objective: To assess the creative potential of surgeons and surgeon trainees, as measured by divergent thinking. The secondary objectives were to identify factors associated with divergent thinking, assess confidence in creative problem-solving and the perceived effect... View Details

Keywords: Creativity; Cognition and Thinking; Surveys; Health Industry

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September 2023 (Revised September 2024)
Technical Note

Measuring and Managing Social Impact

By: Brian Trelstad, Gerald Chertavian and Susan Pinckney

A brief overview of how to measure social impact at nonprofits, social organizations, and impact investments. View Details

Keywords: Analysis; Change; Transformation; Decision Making; Cost vs Benefits; Decision Choices and Conditions; Decisions; Forecasting and Prediction; Public Sector; Entrepreneurship; Social Entrepreneurship; Fairness; Entrepreneurial Finance; Governance; Governing and Advisory Boards; Policy; Innovation and Management; Knowledge Acquisition; Knowledge Use and Leverage; Goals and Objectives; Growth and Development Strategy; Growth Management; Management Analysis, Tools, and Techniques; Management Practices and Processes; Resource Allocation; Measurement and Metrics; Standards; Strength and Weakness; Mission and Purpose; Success; Performance; Performance Evaluation; Philanthropy and Charitable Giving; Strategic Planning; Programs; Risk and Uncertainty; Social Enterprise; Non-Governmental Organizations; Social Issues; United States

2023
Working Paper

Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality

By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani

The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details

Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement

August 2023 (Revised March 2024)
Case

Arla Foods: Data-Driven Decarbonization (A)

By: Michael Parzen, Michael W. Toffel, Susan Pinckney and Amram Migdal

The case describes Arla’s history, in particular its climate change mitigation efforts, and how it implemented a price incentive system to motivate individual farms to implement scope 1 greenhouse gas emissions mitigation measures and receive a higher milk price. The... View Details

August 2023 (Revised January 2024)
Supplement

Arla Foods: Data-Driven Decarbonization (B)

By: Michael Parzen, Michael W. Toffel, Susan Pinckney and Amram Migdal

The case describes Arla’s history, in particular its climate change mitigation efforts, and how it implemented a price incentive system to motivate individual farms to implement scope 1 greenhouse gas emissions mitigation measures and receive a higher milk price. The... View Details

July 2023
Article

Design and Analysis of Switchback Experiments

By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao

In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted... View Details

Keywords: Switchback Experiments; Design; Analysis; Mathematical Methods

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June 2023
Case

Investing in the Climate Transition at Neuberger Berman

By: George Serafeim and Benjamin Maletta

By mid-2023, Neuberger Berman (NB), an active asset manager, had grown its assets under management to about half a trillion dollars and took pride in its client centricity and innovative spirit. Responding to client demand for investment products that integrated... View Details

2023
Working Paper

Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation

By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov

Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details

Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior

January 2023
Article

The Dark Side of Machiavellian Rhetoric: Signaling in Reward-Based Crowdfunding Performance

By: Goran Calic, Rene Arseneault and Maryam Ghasemaghaei

In this study, we explore the impact of Machiavellian rhetoric on fundraising within the increasingly important context of online crowdfunding. The “all-or-nothing” funding model used by the world’s largest crowdfunding platform, Kickstarter, may be an attractive... View Details

Keywords: Crowdfunding; Communication Strategy; Entrepreneurial Finance; Behavior

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2023
Article

Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators

By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill

Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details

Keywords: Regression Discontinuity Design; Analytics and Data Science; AI and Machine Learning

April 2023
Article

Perceptions Related to Engaging in Non-driving Activities in an Automated Vehicle While Commuting: A Text Mining Approach

By: Yilun Xing, Linda Ng Boyle, Raffaella Sadun, John D. Lee, Orit Shaer and Andrew Kun

Automated vehicles (AVs) offer human operators the opportunity to participate in non-driving activities while on the move. In this study, we examined and compared drivers' perception of non-driving activities in two driving modes: highly AVs in the future and current... View Details

Keywords: Perception; Behavior; Surveys; Auto Industry

March–April 2023
Article

Market Segmentation Trees

By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis

Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market... View Details

Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing

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January 2023
Case

Crow Holdings Development: Mass Timber Construction

By: John D. Macomber, Robert Hernandez and Kyle MertensMeyer

Jim McCaffery and Cody Armbrister of Crow Holdings Development evaluate the pros and cons of committing to mass timber construction instead of conventional concrete or steel for a new 260,000 SF multi-story office building in Texas. Benefits include substantially... View Details

Keywords: Real Estate Development; Architecture; Air Quality; Health ＆ Wellness; Office Property; Sustainability; Carbon Abatement; Natural Environment; Environmental Accounting; Green Buildings; Design; Construction; Cost vs Benefits; Environmental Sustainability; Construction Industry; Real Estate Industry; Texas

December 2022 (Revised February 2023)
Case

Akooda: Charging Toward Operational Intelligence

By: Christopher T. Stanton and Mel Martin

The Akooda case describes the challenges confronting founder and CEO Yuval Gonczarowski (MBA ‘17) in 2022 as he attempts to boost sales. Launched in November 2020, Akooda was an AI company that mined 20 different sources of digital data, from tools like Slack, Google... View Details

Keywords: Data Mining; Productivity; Monitoring; Data Analysis; AI and Machine Learning; Knowledge Management; Operations; Problems and Challenges; Employee Relationship Management; Information Technology Industry; Technology Industry; Information Industry; Boston; Israel

December 2022
Article

The Task Bind: Explaining Gender Differences in Managerial Tasks and Performance

By: Alexandra C. Feldberg

This multi-method study of managers in a grocery chain identifies a novel mechanism by which threats of gender stereotypes undermine women’s ability to be effective managers. I find that women managers face a task bind, a dilemma that managers experience as they try to... View Details

Keywords: Gender Stereotypes; Gender; Managerial Roles; Performance Expectations

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October–December 2022
Article

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius

Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details

Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction

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