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      • September 2023
      • Technical Note

      Work Arrangements in the Post-Pandemic World

      By: Leslie A. Perlow and Salvatore J. Affinito
      Whether you are choosing your job based on geographic location, work arrangements (i.e., fully in-person, hybrid, fully virtual), or other unrelated factors (e.g., career, family, partner, hobbies), in the post-pandemic world you will likely be surrounded by people...  View Details
      Keywords: Hybrid Work; Remote Work
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      Perlow, Leslie A., and Salvatore J. Affinito. "Work Arrangements in the Post-Pandemic World." Harvard Business School Technical Note 424-022, September 2023.
      • 2023
      • Working Paper

      The Crowdless Future? How Generative AI Is Shaping the Future of Human Crowdsourcing

      By: Léonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic and Karim R. Lakhani
      This study investigates the capability of generative artificial intelligence (AI) in creating innovative business solutions compared to human crowdsourcing methods. We initiated a crowdsourcing challenge focused on sustainable, circular economy business opportunities....  View Details
      Keywords: Large Language Model; Crowdsourcing; AI and Machine Learning; Innovation and Invention
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      Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? How Generative AI Is Shaping the Future of Human Crowdsourcing." Harvard Business School Working Paper, No. 24-005, July 2023.
      • 2023
      • Working Paper

      Channeled Attention and Stable Errors

      By: Tristan Gagnon-Bartsch, Matthew Rabin and Joshua Schwartzstein
      We develop a framework for assessing when somebody will eventually notice that she has a misspecified model of the world, premised on the idea that she neglects information that she deems—through the lens of her misconceptions—to be irrelevant. In doing so, we...  View Details
      Keywords: Attentional Stability; Cognition and Thinking; Attitudes; Information; Theory
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      Gagnon-Bartsch, Tristan, Matthew Rabin, and Joshua Schwartzstein. "Channeled Attention and Stable Errors." Working Paper, August 2023.
      • 2023
      • Working Paper

      Managing Remote Work Quality: Evidence from Management Systems Standards Auditing

      By: Ashley Palmarozzo and Michael W. Toffel
      Remote work has become more common, providing operational flexibility and productivity benefits, but questions remain about whether and how it affects quality. This study investigates the quality effects of remote work in a diagnostic service context in which remote...  View Details
      Keywords: Audit; Auditing; Remote Work; Compliance; Assessment; Environment; Management Systems; Quality Management; Quality Management System; Quality; Operations; Supply Chain Management; Environmental Management; Safety
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      Palmarozzo, Ashley, and Michael W. Toffel. "Managing Remote Work Quality: Evidence from Management Systems Standards Auditing." Harvard Business School Working Paper, No. 24-002, July 2023.
      • July 2023
      • Article

      Deep Responsibility and Irresponsibility in the Beauty Industry

      By: Geoffrey Jones
      This article employs the concept of deep responsibility to assess the social responsibility of the beauty industry over time. It shows that many of today’s problems with the industry have deep historical roots. Products have too many ingredients that are potential...  View Details
      Keywords: Business History; Corporate Social Responsibility and Impact; Beauty and Cosmetics Industry
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      Jones, Geoffrey. "Deep Responsibility and Irresponsibility in the Beauty Industry." Entreprises et histoire 111, no. 2 (July 2023): 113–125.
      • July 2023
      • Article

      Managerial Quality and Productivity Dynamics

      By: Achyuta Adhvaryu, Anant Nyshadham and Jorge Tamayo
      Do productivity and managerial quality vary within the firm? If so which managerial traits and practices matter most for team productivity? Combining granular garment production data with survey data on managers across 120 production lines in India, we document...  View Details
      Keywords: Productivity; Non-cognitive Skills; Learning By Doing; Ready-made Garments; Management; Management Practices and Processes; Management Skills; Performance Productivity; Fashion Industry; Manufacturing Industry; India
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      Adhvaryu, Achyuta, Anant Nyshadham, and Jorge Tamayo. "Managerial Quality and Productivity Dynamics." Review of Economic Studies 90, no. 4 (July 2023): 1569–1607.
      • June 2023
      • Technical Note

      Enhancing Your Contribution to Group Learning in Marketing

      By: Jill Avery
      How to enhance your contribution to group learning in RC Marketing. Includes information on the learning contract in a case class and the respective roles of instructor and students, how to analyze a marketing case, how to participate in a marketing case discussion,...  View Details
      Keywords: Marketing
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      Avery, Jill. "Enhancing Your Contribution to Group Learning in Marketing." Harvard Business School Technical Note 523-115, June 2023.
      • 2023
      • Working Paper

      Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness

      By: Neil Menghani, Edward McFowland III and Daniel B. Neill
      In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false...  View Details
      Keywords: AI and Machine Learning; Forecasting and Prediction; Prejudice and Bias
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      Menghani, Neil, Edward McFowland III, and Daniel B. Neill. "Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness." Working Paper, June 2023.
      • 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
      Keywords: Carbon Emissions; Sustainability; Decarbonization; Performance; Risk Assessment; Opportunities; Environmental Sustainability; Carbon Footprint; Business Analysis; Investing; Regulation; Asset Management; Investment Strategy; Climate Change; Transition; Analysis; Product Positioning; Strategy; Investment Portfolio; Financial Services Industry; Energy Industry
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      Serafeim, George, and Benjamin Maletta. "Investing in the Climate Transition at Neuberger Berman." Harvard Business School Case 123-092, June 2023.
      • 2023
      • Working Paper

      Auditing Predictive Models for Intersectional Biases

      By: Kate S. Boxer, Edward McFowland III and Daniel B. Neill
      Predictive models that satisfy group fairness criteria in aggregate for members of a protected class, but do not guarantee subgroup fairness, could produce biased predictions for individuals at the intersection of two or more protected classes. To address this risk, we...  View Details
      Keywords: Predictive Models; Bias; AI and Machine Learning
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      Boxer, Kate S., Edward McFowland III, and Daniel B. Neill. "Auditing Predictive Models for Intersectional Biases." Working Paper, June 2023.
      • 2023
      • Article

      Provable Detection of Propagating Sampling Bias in Prediction Models

      By: Pavan Ravishankar, Qingyu Mo, Edward McFowland III and Daniel B. Neill
      With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipeline but also to understand the downstream impacts of bias across stages. Here we consider...  View Details
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      Ravishankar, Pavan, Qingyu Mo, Edward McFowland III, and Daniel B. Neill. "Provable Detection of Propagating Sampling Bias in Prediction Models." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 9562–9569. (Presented at the 37th AAAI Conference on Artificial Intelligence (2/7/23-2/14/23) in Washington, DC.)
      • June 2023
      • Article

      When Does Uncertainty Matter? Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making

      By: Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage and Himabindu Lakkaraju
      As machine learning (ML) models are increasingly being employed to assist human decision makers, it becomes critical to provide these decision makers with relevant inputs which can help them decide if and how to incorporate model predictions into their decision...  View Details
      Keywords: AI and Machine Learning; Decision Making
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      McGrath, Sean, Parth Mehta, Alexandra Zytek, Isaac Lage, and Himabindu Lakkaraju. "When Does Uncertainty Matter? Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making." Transactions on Machine Learning Research (TMLR) (June 2023).
      • May 2023
      • Article

      How Do Campaigns Shape Vote Choice? Multi-Country Evidence from 62 Elections and 56 TV Debates

      By: Caroline Le Pennec and Vincent Pons
      We use two-round survey data from 62 elections in 10 countries since 1952 to study the formation of vote choice, beliefs, and policy preferences and assess how televised debates contribute to this process. Our data include 253,000 observations. We compare the...  View Details
      Keywords: Political Debates; TV Debates; Voting; Political Elections; Decision Choices and Conditions
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      Le Pennec, Caroline, and Vincent Pons. "How Do Campaigns Shape Vote Choice? Multi-Country Evidence from 62 Elections and 56 TV Debates." Quarterly Journal of Economics 138 (May 2023): 703–767.
      • May–June 2023
      • Article

      Which Firms Gain from Digital Advertising? Evidence from a Field Experiment

      By: Weijia Dai, Hyunjin Kim and Michael Luca
      Measuring the returns of advertising opportunities continues to be a challenge for many businesses. We design and run a field experiment in collaboration with Yelp across 18,294 firms in the restaurant industry to understand which types of businesses gain more from...  View Details
      Keywords: Advertising; Digital Marketing; Outcome or Result
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      Dai, Weijia, Hyunjin Kim, and Michael Luca. "Which Firms Gain from Digital Advertising? Evidence from a Field Experiment." Marketing Science 42, no. 3 (May–June 2023): 429–439.
      • April 2023 (Revised July 2023)
      • Case

      Dena Almansoori at e&: Fostering Culture Change at a UAE Telco Transforming to a Global Techco

      By: Emily Truelove, Michelle Zhang and Alpana Thapar
      Dena Almansoori, the first female and one of the youngest members of the United Arab Emirates-based e&’s leadership team, joined in 2020 just before e& began a strategic transition from being a regional telecommunications company to becoming a global technology...  View Details
      Keywords: Leadership; Culture; Transformation; United Arab Emirates; Middle East; Technology; Telecommunications; Employee Mobility; Talent; Leading Change; Human Resources; Telecommunications Industry; Technology Industry; Middle East
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      Truelove, Emily, Michelle Zhang, and Alpana Thapar. "Dena Almansoori at e&: Fostering Culture Change at a UAE Telco Transforming to a Global Techco." Harvard Business School Case 423-040, April 2023. (Revised July 2023.)
      • April 2023 (Revised July 2023)
      • Case

      Dena Almansoori at e&: Fostering Culture Change at a UAE Telco Transforming to a Global Techco (Abridged)

      By: Emily Truelove, Michelle Zhang and Alpana Thapar
      Dena Almansoori, the first female and one of the youngest members of the United Arab Emirates-based e&’s leadership team, joined in 2020 just before e& began a strategic transition from being a regional telecommunications company to becoming a global technology...  View Details
      Keywords: Leadership; Culture; Transformation; United Arab Emirates; Middle East; Technology; Telecommunications; Employee Mobility; Talent; Leading Change; Human Resources; Telecommunications Industry; Technology Industry; Middle East
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      Truelove, Emily, Michelle Zhang, and Alpana Thapar. "Dena Almansoori at e&: Fostering Culture Change at a UAE Telco Transforming to a Global Techco (Abridged)." Harvard Business School Case 423-059, April 2023. (Revised July 2023.)
      • 2023
      • Working Paper

      Using GPT for Market Research

      By: James Brand, Ayelet Israeli and Donald Ngwe
      Large language models (LLMs) have quickly become popular as labor-augmenting tools for programming, writing, and many other processes that benefit from quick text generation. In this paper we explore the uses and benefits of LLMs for researchers and...  View Details
      Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
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      Brand, James, Ayelet Israeli, and Donald Ngwe. "Using GPT for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023. (Revised July 2023.)
      • April 2023
      • Article

      The Subjective Expected Utility Approach and a Framework for Defining Project Risk in Terms of Novelty and Feasibility—A Response to Franzoni and Stephan (2023), ‘Uncertainty and Risk-Taking in Science’

      By: Jacqueline N. Lane
      In their Discussion Paper, Franzoni and Stephan (F&S, 2023) discuss the shortcomings of existing peer review models in shaping the funding of risky science. Their discussion offers a conceptual framework for incorporating risk into peer review models of research...  View Details
      Keywords: Risk and Uncertainty; Research; Resource Allocation; Perception
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      Lane, Jacqueline N. "The Subjective Expected Utility Approach and a Framework for Defining Project Risk in Terms of Novelty and Feasibility—A Response to Franzoni and Stephan (2023), ‘Uncertainty and Risk-Taking in Science’." Art. 104707. Research Policy 52, no. 3 (April 2023).
      • 2023
      • Working Paper

      Deep Responsibility and Irresponsibility in the Beauty Industry

      By: Geoffrey Jones
      This working paper employs the concept of deep responsibility to assess the social responsibility of the beauty industry over time. It shows that many of today’s problems with the industry have deep historical roots. Products have carried too many health hazards....  View Details
      Keywords: Corporate Social Responsibility and Impact; Corporate Accountability; Ethics; Beauty and Cosmetics Industry
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      Jones, Geoffrey. "Deep Responsibility and Irresponsibility in the Beauty Industry." Harvard Business School Working Paper, No. 23-058, March 2023.
      • March 2023
      • Case

      Azenta Life Sciences: The Road to Transformation

      By: Gary P. Pisano and Catherine Piner
      When the Board brought Steve Schwartz in as President of Brooks Automation in 2010, they gave him a clear mission: strengthen the company’s core semiconductor equipment business and find a new industry to enter. Over the course of the next decade, Schwartz and the...  View Details
      Keywords: Transformation; Business and Shareholder Relations; Market Entry and Exit; Organizational Change and Adaptation; Segmentation; Technology Industry
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      Pisano, Gary P., and Catherine Piner. "Azenta Life Sciences: The Road to Transformation." Harvard Business School Case 623-066, March 2023.
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