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- All HBS Web
(3,459)
- Faculty Publications (471)
- Article
Reflections: Toward a Normative and Actionable Theory of Planned Organizational Change and Development
By: Michael Beer
A normative and actionable theory of planned organizational change and development is proposed based on fifty years of engagement by the author as a scholar-consultant. Five principles are central features of the theory and practice proposed: 1) Organizations are... View Details
Keywords: Consultant; Process; Systems; Silence; Organizational Change and Adaptation; Leadership; Learning; Management Teams
Beer, Michael. "Reflections: Toward a Normative and Actionable Theory of Planned Organizational Change and Development." Journal of Change Management 21, no. 1 (2021).
- November 2020
- Case
Axis My India
By: Ananth Raman, Ann Winslow and Kairavi Dey
Pradeep Gupta founded Axis My India (AMI) as a printing and publishing company in 1998. In 2013, AMI expanded into consumer research and election forecasting. Although a relatively unknown entity, AMI predicted several election results accurately. Gupta describes AMI’s... View Details
Keywords: Market Research; Operations; Management; Infrastructure; Logistics; Service Operations; Political Elections; Forecasting and Prediction; Asia; India
Raman, Ananth, Ann Winslow, and Kairavi Dey. "Axis My India." Harvard Business School Case 621-075, November 2020.
- November 2020 (Revised February 2021)
- Case
The Roca Brothers: Innovation in Gastronomy
By: Boris Groysberg, Evan M.S. Hecht and Katherine Connolly Baden
Chef Joan Roca, sommelier Josep Roca and pastry chef Jordi Roca were three brothers based in Girona, Spain whose complementary skills, collective ability, and relentless drive for innovation had brought worldwide fame and awards to their restaurant, El Celler de Can... View Details
Keywords: Restaurants; COVID-19 Pandemic; Food; Crisis Management; Innovation and Invention; Food and Beverage Industry; Spain
Groysberg, Boris, Evan M.S. Hecht, and Katherine Connolly Baden. "The Roca Brothers: Innovation in Gastronomy." Harvard Business School Case 421-017, November 2020. (Revised February 2021.)
- October 2020 (Revised November 2020)
- Case
Digging for Gold: Paulson & Co.'s Activism in the Gold Sector
By: Suraj Srinivasan and Jonah S. Goldberg
The case describes the efforts of hedge fund Paulson & Co to influence corporate governance and improve performance in the gold industry. In an innovative move, the hedge fund led the creation of the Shareholder Gold Council, a consortium of large investors in gold... View Details
Keywords: Board Of Directors; Hedge Funds; Shareholder Activism; Gold; Corporate Governance; Governing and Advisory Boards; Investment Funds; Investment Activism; Performance Improvement; Corporate Accountability; Mining Industry; Canada; United States
Srinivasan, Suraj, and Jonah S. Goldberg. "Digging for Gold: Paulson & Co.'s Activism in the Gold Sector." Harvard Business School Case 121-021, October 2020. (Revised November 2020.)
- October 2020
- Case
Genomics in the Family Office
By: Lauren Cohen, Ronnie Stangler and Spencer C. N. Hagist
Alice Anane is the member of a large, wealthy family that collectively operates a multi-pronged family business in Israel. Upon discovering partway into her pregnancy that the rapidly degenerative brain disease her father succumbed to now threatens her and potentially... View Details
Cohen, Lauren, Ronnie Stangler, and Spencer C. N. Hagist. "Genomics in the Family Office." Harvard Business School Case 221-035, October 2020.
- September 2020 (Revised February 2024)
- Teaching Note
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and... View Details
- September 2020 (Revised July 2022)
- Exercise
Artea (B): Including Customer-Level Demographic Data
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)
- September 2020 (Revised July 2022)
- Exercise
Artea (C): Potential Discrimination through Algorithmic Targeting
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (C): Potential Discrimination through Algorithmic Targeting." Harvard Business School Exercise 521-037, September 2020. (Revised July 2022.)
- September 2020 (Revised July 2022)
- Exercise
Artea (D): Discrimination through Algorithmic Bias in Targeting
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Targeted Advertising; Discrimination; Algorithmic Data; Bias; Advertising; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (D): Discrimination through Algorithmic Bias in Targeting." Harvard Business School Exercise 521-043, September 2020. (Revised July 2022.)
- September 2020 (Revised June 2023)
- Exercise
Artea: Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; "Marketing Analytics"; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analytics; Data Analysis; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Targeting; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Algorithmic Bias; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)
- September 2020 (Revised June 2023)
- Supplement
Spreadsheet Supplement to Artea Teaching Note
By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to Artea Teaching Note 521-041. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and... View Details
- September 2020 (Revised December 2020)
- Case
Hot Wheels at Mattel: Reinventing the Wheel
By: Elie Ofek, Andres Terech and Nicole Tempest Keller
In 2017, Chris Down, Global Brand General Manager for Hot Wheels, and his team from the Advanced Play Group within Mattel, Inc., were considering which innovation path to pursue in order to "future proof" the Hot Wheels franchise going forward. Hot Wheels was the... View Details
Keywords: Toys; Industry Evolution; Innovation Strategy; Product Development; Growth and Development Strategy; Technological Innovation; Organizational Change and Adaptation; Decision Making; Digital Transformation
Ofek, Elie, Andres Terech, and Nicole Tempest Keller. "Hot Wheels at Mattel: Reinventing the Wheel." Harvard Business School Case 521-015, September 2020. (Revised December 2020.)
- Fall 2020
- Article
Climate in the Boardroom: Struggling to Reconcile Business as Usual & the End of the World as We Know It
How does one witness to businesspeople about climate change? Climate change is a problem for the collective and the long term, whereas business often requires a ruthless focus on the individual and the quarter. Climate change is an ethical catastrophe whose solution... View Details
Keywords: Sustainable Business; Climate Change; Corporate Social Responsibility and Impact; Environmental Sustainability
Henderson, Rebecca. "Climate in the Boardroom: Struggling to Reconcile Business as Usual & the End of the World as We Know It." Special Issue on Witnessing Climate Change. Daedalus 149, no. 4 (Fall 2020): 118–124.
- 2021
- Working Paper
Time and the Value of Data
By: Ehsan Valavi, Joel Hestness, Newsha Ardalani and Marco Iansiti
Managers often believe that collecting more data will continually improve the accuracy of their machine learning models. However, we argue in this paper that when data lose relevance over time, it may be optimal to collect a limited amount of recent data instead of... View Details
Keywords: Economics Of AI; Machine Learning; Non-stationarity; Perishability; Value Depreciation; Analytics and Data Science; Value
Valavi, Ehsan, Joel Hestness, Newsha Ardalani, and Marco Iansiti. "Time and the Value of Data." Harvard Business School Working Paper, No. 21-016, August 2020. (Revised November 2021.)
- July 2020
- Article
Healthy Business? Managerial Education and Management in Healthcare
By: Nicholas Bloom, Renata Lemos, Raffaella Sadun and John Van Reenen
We investigate the link between hospital performance and managerial education by collecting a large database of management practices and skills in hospitals across nine countries. We find that hospitals that are closer to universities offering both medical education... View Details
Keywords: Management; Hospitals; Mortality; Education; Health Care and Treatment; Performance Improvement; Business Education; Management Practices and Processes
Bloom, Nicholas, Renata Lemos, Raffaella Sadun, and John Van Reenen. "Healthy Business? Managerial Education and Management in Healthcare." Review of Economics and Statistics 102, no. 3 (July 2020): 506–517.
- 2020
- Working Paper
Older People Are Less Pessimistic About the Health Risks of COVID-19
By: Pedro Bordalo, Katherine B. Coffman, Nicola Gennaioli and Andrei Shleifer
A central question for understanding behaviour during the COVID-19 pandemic, at both the individual and collective levels, is how people perceive the health and economic risks they face. We conducted a survey of over 1,500 Americans from May 6–13, 2020, to understand... View Details
Bordalo, Pedro, Katherine B. Coffman, Nicola Gennaioli, and Andrei Shleifer. "Older People Are Less Pessimistic About the Health Risks of COVID-19." NBER Working Paper Series, No. 27494, July 2020.
- 2022
- Working Paper
Optimal Illiquidity
By: John Beshears, James J. Choi, Christopher Clayton, Christopher Harris, David Laibson and Brigitte C. Madrian
We calculate the socially optimal level of illiquidity in an economy populated by households with taste shocks and naive present bias. The government chooses mandatory contributions to accounts, each witha different pre-retirement withdrawal penalty. Collected... View Details
Keywords: Illiquidity; Commitment; Flexibility; Savings; Social Security; Retirement; Government Legislation; Taxation; Saving
Beshears, John, James J. Choi, Christopher Clayton, Christopher Harris, David Laibson, and Brigitte C. Madrian. "Optimal Illiquidity." Working Paper, July 2022.
- June 2020 (Revised July 2023)
- Case
Time Out: The Evolution from Media to Markets
By: Kate Barasz and Eva Ascarza
In February 2020, Time Out’s chief executive officer Julio Bruno is evaluating the strategic direction of the company. Over the span of five decades, Time Out — the global media and entertainment brand — had gone from a self-published counterculture publication in... View Details
Keywords: Branding; Media Businesses; Hospitality; Hospitality Industry; Digital; Brands and Branding; Media; Marketing; Marketing Strategy; Organizational Change and Adaptation; Strategy; Media and Broadcasting Industry; Food and Beverage Industry; United Kingdom; United States
Barasz, Kate, and Eva Ascarza. "Time Out: The Evolution from Media to Markets." Harvard Business School Case 520-128, June 2020. (Revised July 2023.)
- June 2020
- Teaching Note
Understanding the Brand Equity of Nestlé Crunch Bar
By: Jill Avery and Gerald Zaltman
Teaching Note for HBS Case Nos. 519-061 and 519-062. In early 2018, Nestlé announced the sale of its U.S. candy-making division and a select collection of twenty of its confectionery brands, including the Nestlé Crunch Bar, to Ferrero SpA for $2.8 billion. Under the... View Details
- 2021
- Conference Presentation
An Algorithmic Framework for Fairness Elicitation
By: Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton and Zhiwei Steven Wu
We consider settings in which the right notion of fairness is not captured by simple mathematical definitions (such as equality of error rates across groups), but might be more complex and nuanced and thus require elicitation from individual or collective stakeholders.... View Details
Jung, Christopher, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton, and Zhiwei Steven Wu. "An Algorithmic Framework for Fairness Elicitation." Paper presented at the 2nd Symposium on Foundations of Responsible Computing (FORC), 2021.