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- All HBS Web
(3,734)
- Faculty Publications (399)
- November 2022
- Case
Goonj: Growing in the Face of a Pandemic
By: V. Kasturi Rangan and Priyank Narayan
Founded by the husband and wife team of Anshu and Meenakshi Gupta in 1999, Goonj had quickly emerged as one of the leading disaster relief and rural development organizations in India. Their main mode of development was through providing a clothing kit to the village... View Details
Keywords: COVID-19 Pandemic; Management; Family Business; Natural Disasters; Social Issues; Entrepreneurship; Operations; Business and Community Relations; Strategy; India
Rangan, V. Kasturi, and Priyank Narayan. "Goonj: Growing in the Face of a Pandemic." Harvard Business School Case 523-051, November 2022.
- 2022
- Working Paper
How Do Investors Value ESG?
By: Malcolm Baker, Mark Egan and Suproteem K. Sarkar
Environmental, social, and governance (ESG) objectives have risen to near the top of the agenda for corporate executives and boards, driven in large part by their perceptions of shareholder interest. We quantify the value that shareholders place on ESG using a revealed... View Details
Keywords: Investment; Investment Portfolio; Corporate Social Responsibility and Impact; Business and Shareholder Relations; Environmental Sustainability; Governance; Financial Services Industry; United States
Baker, Malcolm, Mark Egan, and Suproteem K. Sarkar. "How Do Investors Value ESG?" NBER Working Paper Series, No. 30708, December 2022. (Harvard Business School Working Paper, No. 23-028, November 2022.)
- 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
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.
- 2022
- White Paper
The American Opportunity Index: A Corporate Scorecard of Worker Advancement
By: Matt Sigelman, Joseph Fuller, Nik Dawson and Gad Levanon
The American Opportunity Index: A Corporate Scorecard of Worker Advancement is a new effort to give companies and other stakeholders a set of robust tools that measure how well major employers are doing in fostering economic mobility for workers and how they could do... View Details
Keywords: Upward Mobility; Career Advancement; Personal Development and Career; Compensation and Benefits; Employees; Wages; Human Capital; Recruitment
Sigelman, Matt, Joseph Fuller, Nik Dawson, and Gad Levanon. "The American Opportunity Index: A Corporate Scorecard of Worker Advancement." White Paper, Burning Glass Institute, October 2022 (A joint project with Harvard Business School Project on Managing the Future of Work and Schultz Family Foundation.)
- September 2022 (Revised April 2023)
- Case
Cesaro e Associati
By: Christina R. Wing and Amram Migdal
This case describes the leadership succession planning process at Cesaro e Associati (Studio Cesaro), founded in 1986 by Franco Cesaro in the northeastern Italian state of Veneto. In 2022, Franco was contemplating retirement and passing leadership of his firm, which... View Details
Keywords: Business Growth and Maturation; Business Model; Family Business; For-Profit Firms; Restructuring; Small Business; Change; Change Management; Competency and Skills; Experience and Expertise; Talent and Talent Management; Entrepreneurship; Governance; Leadership; Leading Change; Management; Management Succession; Organizational Change and Adaptation; Ownership; Family Ownership; Private Ownership; Personal Development and Career; Relationships; Family and Family Relationships; Consulting Industry; Europe; Italy
Wing, Christina R., and Amram Migdal. "Cesaro e Associati." Harvard Business School Case 623-021, September 2022. (Revised April 2023.)
- August 2022
- Supplement
Sweet Teez Bakery: Projecting the Dough’s Rise Financial Supplement
By: Emily R. McComb, Mel Martin and Amy Klopfenstein
Abstract: In 2021, the HBS Impact Investment Fund student team met with entrepreneur Teresa Maynard, who had applied for a $25,000 impact investment loan. The students thought the former Harvard Data Scientist’s bakery business, Sweet Teez Bakery, showed promise.... View Details
- August 2022 (Revised November 2024)
- Case
Sweet Teez Bakery: Projecting the Dough's Rise
By: Emily R. McComb, Mel Martin and Amy Klopfenstein
In 2021, the HBS Impact Investment Fund student team met with entrepreneur Teresa Maynard, who had applied for a $25,000 impact investment loan. The students thought the former Harvard Data Scientist’s bakery business, Sweet Teez Bakery, showed promise. Maynard had... View Details
Keywords: Impact Investment; Entrepreneurship; Social Entrepreneurship; Finance; Investment; Goods and Commodities; Financial Reporting; Small Business; Food and Beverage Industry; United States; Massachusetts
McComb, Emily R., Mel Martin, and Amy Klopfenstein. "Sweet Teez Bakery: Projecting the Dough's Rise." Harvard Business School Case 223-004, August 2022. (Revised November 2024.)
- 2022
- Article
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations
By: Jessica Dai, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach and Himabindu Lakkaraju
As post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to ensure that the quality of the resulting explanations is consistently high across all subgroups of a population. For instance, it... View Details
Dai, Jessica, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach, and Himabindu Lakkaraju. "Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 203–214.
- July 2022 (Revised October 2024)
- Case
3G Capital
By: Jo Tango and Alys Ferragamo
In June 2022, 3G Capital Co-Managing Partners Alex Behring and Daniel Schwartz were in a partners’ meeting. On the agenda were three potential investments. Code named “Alpha,” “Bravo,” and “Charlie” (real target companies that have been disguised), they were the... View Details
Keywords: Investment Decisions; Investment Funds; Investment Portfolio; Decision Choices and Conditions; Private Equity; Leveraged Buyouts
Tango, Jo, and Alys Ferragamo. "3G Capital." Harvard Business School Case 823-010, July 2022. (Revised October 2024.)
- July 2022
- Article
What Do I Make of the Rest of My Life? Global and Quotidian Life Construal across the Retirement Transition
By: Jeff Steiner and Teresa M. Amabile
Retirement means relinquishing the daily structure that work provides and the career-dependent meanings that it offers life narratives. The retirement transition can therefore involve contemplating both how to spend newly-freed daily time and the implications of... View Details
Keywords: Retirement Transition; Life Narrative; Construal Level Theory; Global Construal; Quotidian Construal; Meanings Of Work And Retirement; Retirement; Transition; Perspective
Steiner, Jeff, and Teresa M. Amabile. "What Do I Make of the Rest of My Life? Global and Quotidian Life Construal across the Retirement Transition." Art. 104137. Organizational Behavior and Human Decision Processes 171 (July 2022).
- June 2022 (Revised January 2023)
- Case
Buurtzorg
By: Ethan Bernstein, Tatiana Sandino, Joost Minnaar and Annelena Lobb
As co-founders of home nursing company Buurtzorg, Jos de Blok and Gonnie Kronenberg prized both self-management and organizational learning. Buurtzorg’s 10,000 nurses across 950 neighborhood nursing teams in the Netherlands were empowered to manage themselves, both in... View Details
Keywords: Healthcare; Best Practices; Best Practices Transfer; Flat Organization; Self-Managed Organizations; Self-Managed Teams; Organizational Learning; Knowledge Management; Learning; Management Practices and Processes; Human Resources; Communication; Organizational Structure; Organizational Design; Organizational Change and Adaptation; Groups and Teams; Networks; Health Industry; Netherlands; Europe
Bernstein, Ethan, Tatiana Sandino, Joost Minnaar, and Annelena Lobb. "Buurtzorg." Harvard Business School Case 122-101, June 2022. (Revised January 2023.)
- May 2022
- Case
Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models
By: Tsedal Neeley and Stefani Ruper
Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that she accepted your resignation.” Heart... View Details
Neeley, Tsedal, and Stefani Ruper. "Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models." Harvard Business School Case 422-085, May 2022.
- 2022
- Article
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis.
By: Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay and Himabindu Lakkaraju
As machine learning (ML) models become more widely deployed in high-stakes applications, counterfactual explanations have emerged as key tools for providing actionable model explanations in practice. Despite the growing popularity of counterfactual explanations, a... View Details
Keywords: Machine Learning Models; Counterfactual Explanations; Adversarial Examples; Mathematical Methods
Pawelczyk, Martin, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay, and Himabindu Lakkaraju. "Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).
- April 6, 2022
- Article
5 Principles of Purposeful Leadership
By: Hubert Joly
The traditional model of the leader-hero who saves the day, knows it all, is the smartest person in the room, and is too often driven by power, fame, glory, or money is not appropriate in today’s environment. People today expect a different kind of leader. While each... View Details
Keywords: Leadership, Personal Strategy & Style; Purpose; Roles; Authenticity; Leadership; Values and Beliefs; Leadership Style
Joly, Hubert. "5 Principles of Purposeful Leadership." Harvard Business Review Digital Articles (April 6, 2022).
- April–June 2022
- Other Article
Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'
There has been a substantial discussion in various methodological and applied literatures around causal inference; especially in the use of machine learning and statistical models to understand heterogeneity in treatment effects and to make optimal decision... View Details
Keywords: Causal Inference; Treatment Effect Estimation; Treatment Assignment Policy; Human-in-the-loop; Decision Making; Fairness
McFowland III, Edward. "Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'." INFORMS Journal on Data Science 1, no. 1 (April–June 2022): 21–22.
- 2022
- Working Paper
Is Hybrid Work the Best of Both Worlds? Evidence from a Field Experiment
Hybrid work is emerging as a novel form of organizing work globally. This paper reports causal evidence on how the extent of hybrid work—the number of days worked from home relative to days worked from the office—affects work outcomes. Collaborating with an... View Details
Keywords: Hybrid Work; Remote Work; Work-from-home; Field Experiment; Employees; Geographic Location; Performance; Work-Life Balance
Choudhury, Prithwiraj, Tarun Khanna, Christos A. Makridis, and Kyle Schirmann. "Is Hybrid Work the Best of Both Worlds? Evidence from a Field Experiment." Harvard Business School Working Paper, No. 22-063, March 2022.
- March 2022 (Revised May 2022)
- Case
Winning Business at Russell Reynolds (A)
By: Ethan Bernstein and Cara Mazzucco
In an effort to make compensation drive collaboration, Russell Reynolds Associates’ (RRA) CEO Clarke Murphy sought to re-engineer the bonus system for his executive search consultants in 2016. As his HR analytics guru, Kelly Smith, points out, that risks upsetting–and... View Details
Keywords: Compensation; Collaboration; Executive Search Firms; Consulting Firms; Compensation and Benefits; Restructuring; Human Resources; Human Capital; Management Practices and Processes; Organizational Culture; Organizational Change and Adaptation; Social and Collaborative Networks; Recruitment; Selection and Staffing; Talent and Talent Management; Consulting Industry; Employment Industry; Asia; Europe; Latin America; Middle East; North and Central America; South America; Oceania
Bernstein, Ethan, and Cara Mazzucco. "Winning Business at Russell Reynolds (A)." Harvard Business School Case 422-045, March 2022. (Revised May 2022.)
- March 2022
- Supplement
Winning Business at Russell Reynolds (B)
By: Ethan Bernstein and Cara Mazzucco
In an effort to make compensation drive collaboration, Russell Reynolds Associates’ (RRA) CEO Clarke Murphy sought to re-engineer the bonus system for his executive search consultants in 2016. As his HR analytics guru, Kelly Smith, points out, that risks upsetting–and... View Details
Keywords: Compensation; Collaboration; Executive Search Firms; Consulting Firms; Compensation and Benefits; Restructuring; Human Resources; Human Capital; Management Practices and Processes; Organizational Culture; Organizational Change and Adaptation; Social and Collaborative Networks; Recruitment; Selection and Staffing; Talent and Talent Management; Consulting Industry; Employment Industry; Asia; Europe; Latin America; Middle East; North and Central America; South America; Oceania
Bernstein, Ethan, and Cara Mazzucco. "Winning Business at Russell Reynolds (B)." Harvard Business School Supplement 422-046, March 2022.
- March 2022
- Article
Assessing the Impact of the COVID-19 Pandemic on Clinician Ambulatory Electronic Health Record Use
By: A Jay Holmgren, Lance Downing, Mitchell Tang, Christopher Sharp, Christopher Longhurst and Robert S. Huckman
Objective: The COVID-19 pandemic changed clinician electronic health record (EHR) work in a multitude of ways. To evaluate how, we measure ambulatory clinician EHR use in the United States throughout the COVID-19 pandemic.
Materials and Methods: We use EHR... View Details
Materials and Methods: We use EHR... View Details
Keywords: Health Care; Electronic Health Records; Productivity; COVID-19 Pandemic; Health Care and Treatment; Health Pandemics; Information Technology; Performance Productivity; United States
Holmgren, A Jay, Lance Downing, Mitchell Tang, Christopher Sharp, Christopher Longhurst, and Robert S. Huckman. "Assessing the Impact of the COVID-19 Pandemic on Clinician Ambulatory Electronic Health Record Use." Journal of the American Medical Informatics Association 29, no. 3 (March 2022): 453–460.
- March 2022
- Article
Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models
By: Fiammetta Menchetti and Iavor Bojinov
Researchers regularly use synthetic control methods for estimating causal effects when a sub-set of units receive a single persistent treatment, and the rest are unaffected by the change. In many applications, however, units not assigned to treatment are nevertheless... View Details
Keywords: Causal Inference; Partial Interference; Synthetic Controls; Bayesian Structural Time Series; Mathematical Methods
Menchetti, Fiammetta, and Iavor Bojinov. "Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models." Annals of Applied Statistics 16, no. 1 (March 2022): 414–435.