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- March 2024
- Article
Do Safety Management System Standards Indicate Safer Operations? Evidence from the OHSAS 18001 Occupational Health and Safety Standard
By: Kala Viswanathan, Matthew S. Johnson and Michael W. Toffel
Problem definition: Given the enormous disruptions and costs of occupational injuries, companies and buyers are increasingly looking to voluntary occupational health and safety standards to improve worker safety. Yet because these standards only require...
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Keywords:
Occupational Health;
Occupational Safety;
Program Evaluation;
Safety Performance;
Injuries;
OHSAS 18001;
ISO 45001;
Working Conditions;
Safety;
Standards
Viswanathan, Kala, Matthew S. Johnson, and Michael W. Toffel. "Do Safety Management System Standards Indicate Safer Operations? Evidence from the OHSAS 18001 Occupational Health and Safety Standard." Art. 106383. Safety Science 171 (March 2024).
- February 2024
- Article
Come Together: Firm Boundaries and Delegation
By: Laura Alfaro, Nick Bloom, Paola Conconi, Harald Fadinger, Patrick Legros, Andrew F. Newman, Raffaella Sadun and John Van Reenen
We develop an incomplete-contracts model to jointly study firm boundaries and the allocation of decision rights within them. Integration has an option value: it gives firm owners authority to delegate or centralize decision rights, depending on who can best solve...
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Alfaro, Laura, Nick Bloom, Paola Conconi, Harald Fadinger, Patrick Legros, Andrew F. Newman, Raffaella Sadun, and John Van Reenen. "Come Together: Firm Boundaries and Delegation." Journal of the European Economic Association 22, no. 1 (February 2024): 34–72.
- 2024
- Working Paper
Bootstrap Diagnostics for Irregular Estimators
By: Isaiah Andrews and Jesse M. Shapiro
Empirical researchers frequently rely on normal approximations in order to summarize and communicate uncertainty about their findings to their scientific audience. When such approximations are unreliable, they can lead the audience to make misguided decisions. We...
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Andrews, Isaiah, and Jesse M. Shapiro. "Bootstrap Diagnostics for Irregular Estimators." NBER Working Paper Series, No. 32038, January 2024.
- January–February 2024
- Article
Shared Service Delivery Can Increase Client Engagement: A Study of Shared Medical Appointments
By: Ryan W. Buell, Kamalini Ramdas, Nazlı Sönmez, Kavitha Srinivasan and Rengaraj Venkatesh
Problem Definition: Clients and service providers alike often consider one-on-one service delivery to be ideal, assuming – perhaps unquestioningly – that devoting individualized attention best improves client outcomes. In contrast, in shared service delivery, clients...
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Keywords:
Health Care and Treatment;
Customer Satisfaction;
Outcome or Result;
Performance Improvement
Buell, Ryan W., Kamalini Ramdas, Nazlı Sönmez, Kavitha Srinivasan, and Rengaraj Venkatesh. "Shared Service Delivery Can Increase Client Engagement: A Study of Shared Medical Appointments." Manufacturing & Service Operations Management 26, no. 1 (January–February 2024): 154–166.
- 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...
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Keywords:
Dairy Industry;
Business Earnings;
Agribusiness;
Animal-Based Agribusiness;
Acquisition;
Mergers and Acquisitions;
Decision Making;
Decisions;
Voting;
Environmental Management;
Climate Change;
Environmental Regulation;
Environmental Sustainability;
Green Technology;
Pollution;
Moral Sensibility;
Values and Beliefs;
Financial Strategy;
Price;
Profit;
Revenue;
Food;
Geopolitical Units;
Global Strategy;
Ownership Type;
Cooperative Ownership;
Performance Efficiency;
Performance Evaluation;
Problems and Challenges;
Natural Environment;
Science-Based Business;
Business Strategy;
Commercialization;
Cooperation;
Corporate Strategy;
Food and Beverage Industry;
Agriculture and Agribusiness Industry;
Europe;
United Kingdom;
European Union;
Germany;
Denmark;
Sweden;
Luxembourg;
Belgium
Parzen, Michael, Michael W. Toffel, Susan Pinckney, and Amram Migdal. "Arla Foods: Data-Driven Decarbonization (A)." Harvard Business School Case 624-003, August 2023. (Revised March 2024.)
- 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...
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Keywords:
Dairy Industry;
Earnings Management;
Environmental Accounting;
Animal-Based Agribusiness;
Mergers and Acquisitions;
Decisions;
Voting;
Climate Change;
Environmental Regulation;
Environmental Sustainability;
Green Technology;
Pollution;
Moral Sensibility;
Values and Beliefs;
Financial Strategy;
Price;
Profit;
Revenue;
Food;
Geopolitical Units;
Cross-Cultural and Cross-Border Issues;
Global Strategy;
Cooperative Ownership;
Performance Efficiency;
Performance Evaluation;
Problems and Challenges;
Natural Environment;
Science-Based Business;
Business Strategy;
Commercial Banking;
Cooperation;
Corporate Strategy;
Food and Beverage Industry;
Agriculture and Agribusiness Industry;
Europe;
United Kingdom;
European Union;
Denmark;
Sweden;
Luxembourg;
Belgium
Parzen, Michael, Michael W. Toffel, Susan Pinckney, and Amram Migdal. "Arla Foods: Data-Driven Decarbonization (B)." Harvard Business School Supplement 624-036, August 2023. (Revised January 2024.)
- 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...
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Bojinov, Iavor I., David Simchi-Levi, and Jinglong Zhao. "Design and Analysis of Switchback Experiments." Management Science 69, no. 7 (July 2023): 3759–3777.
- 2023
- Working Paper
The Complexity of Economic Decisions
By: Xavier Gabaix and Thomas Graeber
We propose a theory of the complexity of economic decisions. Leveraging a macroeconomic framework of production functions, we conceptualize the mind as a cognitive economy, where a task’s complexity is determined by its composition of cognitive operations. Complexity...
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Gabaix, Xavier, and Thomas Graeber. "The Complexity of Economic Decisions." Harvard Business School Working Paper, No. 24-049, February 2024.
- 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...
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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
Stanton, Christopher T., and Mel Martin. "Akooda: Charging Toward Operational Intelligence." Harvard Business School Case 823-018, December 2022. (Revised February 2023.)
- 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...
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Keywords:
Machine Learning;
Econometric Analysis;
Instrumental Variable;
Random Forest;
Causal Inference;
AI and Machine Learning;
Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- Other Article
Sustainable Strategies and Net-Zero Goals
By: Mark L. Frigo, Robert S. Kaplan and Karthik Ramanna
In a recent Harvard Business Review article, Kaplan and Ramanna describe a rigorous approach, the E-liability method, for companies’ ESG reporting, especially as it pertains to GHG emissions measurements. They argue that the current standards for measuring...
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Keywords:
Measurement;
Sustainability;
Net-zero Emissions;
Environmental Sustainability;
Integrated Corporate Reporting;
Measurement and Metrics;
Strategy
Frigo, Mark L., Robert S. Kaplan, and Karthik Ramanna. "Sustainable Strategies and Net-Zero Goals." Special Issue on Sustainability. Strategic Finance 103, no. 10 (April 2022): 42–49.
- March 2022 (Revised January 2023)
- Case
Innovation at Moog Inc.
This case focuses on the challenges of incentivizing innovation within Moog, an engineering company based in New York state that designs and builds guidance systems for space, air, and land-based travel. The case enables students to grapple with the challenges of using...
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Keywords:
Innovation;
Innovation Lab;
Innovation Management;
Motivation;
Incentives;
Culture;
Compensation;
Compensation And Benefits;
Scalability;
Business Growth and Maturation;
Collaborative Innovation and Invention;
Independent Innovation and Invention;
Innovation and Management;
Innovation Leadership;
Innovation Strategy;
Organizational Culture;
Performance Consistency;
Performance Effectiveness;
Performance Efficiency;
Performance Productivity;
Performance Evaluation;
Creativity;
Motivation and Incentives;
Aerospace Industry;
Transportation Industry;
United States
Hall, Brian J., Ashley V. Whillans, Davis Heniford, Dominika Randle, and Caroline Witten. "Innovation at Moog Inc." Harvard Business School Case 922-040, March 2022. (Revised January 2023.)
- March 2022 (Revised April 2023)
- Case
Pittsburgh: A Successful City?
Pittsburgh, PA, was once the crown jewel of American heavy industry. During the 19th and 20th centuries, the city was an undisputed leader in steel production, boasting some of the largest companies and wealthiest individuals in the world. Its abundance of...
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Keywords:
Economic And Social Disparities;
Economic Development;
Local Economic Development;
Contextual Intelligence;
Contextual Knowledge;
Context;
City Growth;
City Innovation;
City Leadership;
Pittsburgh;
Local Government;
Local Stakeholders;
Business And Community;
Business And Community Relations;
Community Engagement;
Community Relations;
Cross-sector Collaboration;
Innovation;
Innovation Economy;
Innovation Clusters;
Innovation Ecosystems;
Shared Prosperity;
Equality Of Opportunity;
Equity;
Inclusion;
Business And Government;
Business & Government Relations;
Business And Government Relations;
Business And Society;
Neighborhoods;
Race And Ethnicity;
Innovation & Entrepreneurship;
Diversity;
Ethnicity;
Race;
Household;
Income;
Economic Growth;
Economic Sectors;
Economics;
Local Range;
Urban Development;
Urban Scope;
City;
Cross-Cultural and Cross-Border Issues;
Government and Politics;
Government Administration;
Growth and Development;
History;
Leadership;
Goals and Objectives;
Philanthropy and Charitable Giving;
Society;
Civil Society or Community;
Culture;
Human Needs;
Public Opinion;
Public Sector;
Social Issues;
Poverty;
Equality and Inequality;
Manufacturing Industry;
Steel Industry;
Education Industry;
Medical Devices and Supplies Industry;
Technology Industry;
United States;
Pittsburgh;
Pennsylvania
Mills, Karen, Caroline Elkins, Vikram Gandhi, Gabriella Elanbeck, and Zeke Gillman. "Pittsburgh: A Successful City?" Harvard Business School Case 322-080, March 2022. (Revised April 2023.)
- Article
A Better Way to Assess Managerial Performance
Total shareholder return (TSR) has become the definitive metric for gauging performance. Unlike accounting measures such as revenue growth or earnings per share that reflect the past, TSR is based on share price and thus captures investor expectations of what will...
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Keywords:
Total Shareholder Return;
Buybacks;
Core Operating Shareholder Return;
Management;
Operations;
Performance;
Measurement and Metrics
Desai, Mihir, Mark Egan, and Scott Mayfield. "A Better Way to Assess Managerial Performance." Harvard Business Review 100, no. 2 (March–April 2022): 134–141.
- 2022
- Working Paper
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how...
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Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.
- December 1, 2021
- Article
Do You Know How Your Teams Get Work Done?
By: Rohan Narayana Murty, Rajath B. Das, Scott Duke Kominers, Arjun Narayan, Suraj Srinivasan, Tarun Khanna and Kartik Hosanagar
In a research study at four Fortune 500 companies, when managers were asked about their teams’ work, on average they either did not know or could not remember 60% of the work their teams do. This is a major problem because it can lead to unrealistic digital...
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Keywords:
Leading Teams;
Work Recall Gap;
Machine Learning;
Algorithms;
Groups and Teams;
Management;
Technological Innovation
Murty, Rohan Narayana, Rajath B. Das, Scott Duke Kominers, Arjun Narayan, Suraj Srinivasan, Tarun Khanna, and Kartik Hosanagar. "Do You Know How Your Teams Get Work Done?" Harvard Business Review Digital Articles (December 1, 2021).
- October 2021
- Article
Shareholder Activism and Firms' Voluntary Disclosure of Climate Change Risks
By: Caroline Flammer, Michael W. Toffel and Kala Viswanathan
This paper examines whether—in the absence of mandated disclosure requirements—shareholder activism can elicit greater disclosure of firms’ exposure to climate change risks. We find that environmental shareholder activism increases the voluntary disclosure of climate...
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Keywords:
Transparency;
Reporting;
Shareholder Engagement;
Shareholder Activism;
Climate Change;
Risk and Uncertainty;
Environmental Management;
Investment Activism;
Corporate Disclosure;
Communication Strategy;
Information Publishing;
Measurement and Metrics;
Corporate Social Responsibility and Impact;
Problems and Challenges;
United States
Flammer, Caroline, Michael W. Toffel, and Kala Viswanathan. "Shareholder Activism and Firms' Voluntary Disclosure of Climate Change Risks." Strategic Management Journal 42, no. 10 (October 2021): 1850–1879. (Featured in Harvard Business Review.)
- September 15, 2021
- Article
Improving Deconvolution Methods in Biology Through Open Innovation Competitions: An Application to the Connectivity Map
By: Andrea Blasco, Ted Natoli, Michael G. Endres, Rinat A. Sergeev, Steven Randazzo, Jin Hyun Paik, N.J. Maximilian Macaluso, Rajiv Narayan, Xiaodong Lu, David Peck, Karim R. Lakhani and Aravind Subramanian
A recurring problem in biomedical research is how to isolate signals of distinct populations (cell types, tissues, and genes) from composite measures obtained by a single analyte or sensor. Existing computational deconvolution approaches work well in many specific...
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Keywords:
Deconvolution;
Methods;
Open Innovation Competition;
Genomics;
Research;
Innovation and Invention
Blasco, Andrea, Ted Natoli, Michael G. Endres, Rinat A. Sergeev, Steven Randazzo, Jin Hyun Paik, N.J. Maximilian Macaluso, Rajiv Narayan, Xiaodong Lu, David Peck, Karim R. Lakhani, and Aravind Subramanian. "Improving Deconvolution Methods in Biology Through Open Innovation Competitions: An Application to the Connectivity Map." Bioinformatics 37, no. 18 (September 15, 2021).
- September 2021
- Article
Joint Problem-solving Orientation in Fluid Cross-boundary Teams
By: Michaela J. Kerrissey, Anna T. Mayo and Amy C. Edmondson
Using interviews, a national field survey, and an online laboratory study, we have examined teamwork in fluid cross-boundary teams. Across three studies, we qualitatively discovered and quantitatively explored "joint problem-solving orientation" as a new team factor....
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Keywords:
Problem Solving;
Cross-boundary Teams;
Groups and Teams;
Problems and Challenges;
Performance
Kerrissey, Michaela J., Anna T. Mayo, and Amy C. Edmondson. "Joint Problem-solving Orientation in Fluid Cross-boundary Teams." Academy of Management Discoveries 7, no. 3 (September 2021): 381–405.
- August 2021 (Revised February 2023)
- Case
Fair Park Covid-19 Mass Vaccination Site (A)
By: Willy Shih
This case is an opportunity to apply the methods of the Toyota Production System (TPS) to the analysis of an everyday service application: administering Covid-19 vaccines. It describes the start-up of a drive-up Covid-19 mass vaccination site at the Texas State Fair...
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Keywords:
Operations Improvement;
Operations And Processes;
Toyota Production System;
COVID-19 Pandemic;
Operations;
Service Operations;
Health Pandemics;
Problems and Challenges;
Goals and Objectives;
Measurement and Metrics;
Health Care and Treatment;
Health Industry;
United States;
Texas
Shih, Willy. "Fair Park Covid-19 Mass Vaccination Site (A)." Harvard Business School Case 622-003, August 2021. (Revised February 2023.)