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Show Results For
- All HBS Web
(9,175)
- People (40)
- News (2,135)
- Research (5,073)
- Events (72)
- Multimedia (67)
- Faculty Publications (3,204)
- June 2023
- Supplement
Roche: ESG and Access to Healthcare
By: George Serafeim
In May 2022, Roche Group, one of the largest healthcare companies in the world, hosted its first ESG investor event focused exclusively on its efforts to impact access to healthcare. While Roche had recently set an ambitious goal to double the number of patients that... View Details
Keywords: ESG (Environmental, Social, Governance) Performance; Sustainable Finance; Growth Strategy And Execution; Sustainability Targets; Impact Evaluation; Healthcare Access; Healthcare Innovation; Healthcare Systems; Healthcare Operations; Finance; Strategy; Health Testing and Trials; Health Care and Treatment; Growth Management; Measurement and Metrics; Innovation Strategy; Corporate Social Responsibility and Impact; Health Industry; Pharmaceutical Industry; Switzerland; North America; Europe; Asia; Latin America; Africa
Serafeim, George. "Roche: ESG and Access to Healthcare." Harvard Business School Multimedia/Video Supplement 123-713, June 2023.
- 2018
- Working Paper
Bundling Incentives in (Many-to-Many) Matching with Contracts
By: Jonathan Ma and Scott Duke Kominers
In many-to-many matching with contracts, the way in which contracts are specified can affect the set of stable equilibrium outcomes. Consequently, agents may be incentivized to modify the set of contracts upfront. We consider one simple way in which agents may do so:... View Details
Keywords: Matching With Contracts; Contract Design; Bundling-proofness; Substitutability; Mathematical Methods
Ma, Jonathan, and Scott Duke Kominers. "Bundling Incentives in (Many-to-Many) Matching with Contracts." Harvard Business School Working Paper, No. 19-011, August 2018.
Pietro Satriano
Pietro Satriano is a Senior Lecturer at Harvard Business School. He sits on the boards of CarMax, the largest omni-channel used car retailer in the U.S. and Metro, a large regional grocery retailer in Canada. Pietro advises a number of food-tech startups and acts... View Details
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
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,... View Details
- 01 May 2019
- Video
Instagram Takeover - Taylor Stockton
- 24 Jul 2018
- Blog Post
The Global Classroom: From Boston to Jakarta
Stephanie Schwartz (MBA 2019) grew up in Michigan before attending the Ross School of Business at Michigan for her undergraduate degree in Business Administration. Prior to coming to HBS, Stephanie lived in... View Details
- 08 Jun 2020
- Blog Post
Getting Laid Off: An Opportunity for Reinvention
For the last seven years, Jimmy Tran (MBA 2008) appeared to be well on his way along the professional path he’d set out for himself: He had risen to the level of vice president View Details
- Video
Lillete Dubey
Lillete Dubey, Director of India-based Primetime Theatre Company, discusses her decision to establish a company that produces original plays set in local contexts, aiming to find the Indian voice in English-language theater. View Details
John A. Deighton
John Deighton is The Harold M. Brierley Professor of Business Administration Emeritus at Harvard Business School. He is an authority on consumer behavior and marketing, with a focus on digital and direct marketing. He teaches in the area of Big Data in Marketing,... View Details
- 20 May 2009
- Working Paper Summaries
On Good Scholarship, Goal Setting, and Scholars Gone Wild
- March 2019
- Technical Note
Control or Flexibility? Structured Empowerment Offers Both—Lessons from Retail & Service Chains (Abridged)
By: Tatiana Sandino
This note explains how several retail and service organizations use a practice described here as “structured empowerment” to balance control and flexibility as they grow. I define structured empowerment as a practice that grants employees both (a) the power to make... View Details
Keywords: Service Operations; Standards; Employees; Service Delivery; Decision Making; Power and Influence; Retail Industry; Service Industry
Sandino, Tatiana. "Control or Flexibility? Structured Empowerment Offers Both—Lessons from Retail & Service Chains (Abridged)." Harvard Business School Technical Note 119-088, March 2019.
- May 1997
- Case
Toyota Motor Corporation: Target Costing System
Explores Toyota's target costing system, considered to be the most advanced such system of any major Japanese manufacturer. Specifically, describes Toyota's process of setting rigorous cost-reduction goals and the steps taken to achieve them. View Details
Cooper, Robin, and Takao Tanaka. "Toyota Motor Corporation: Target Costing System." Harvard Business School Case 197-031, May 1997.
- September–October 2020
- Article
A New Model for Ethical Leadership
By: Max Bazerman
Rather than try to follow a set of simple rules (“Don’t lie.” “Don’t cheat.”), leaders and managers seeking to be more ethical should focus on creating the most value for society. This utilitarian view, Bazerman argues, blends philosophical thought with business school... View Details
Keywords: Social Value; Leadership; Moral Sensibility; Ethics; Decision Making; Corporate Social Responsibility and Impact; Society
Bazerman, Max. "A New Model for Ethical Leadership." Harvard Business Review 98, no. 5 (September–October 2020): 90–97.
- 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.
- April 2010
- Case
Groupe Ariel S.A.: Parity Conditions and Cross-Border Valuation
By: Timothy A. Luehrman and James Quinn
Groupe Ariel evaluates a proposal from its Mexican subsidiary to purchase and install cost-saving equipment at a manufacturing facility in Monterrey. The improvements will allow the plant to automate recycling and remanufacturing of toner and printer cartridges, an... View Details
Keywords: Exchange Rates; Securities Analysis; Project Evaluation; International Finance; Debt Securities; Currency Exchange Rate; Cash Flow; Cross-Cultural and Cross-Border Issues; Capital Budgeting; Europe; Mexico
Luehrman, Timothy A., and James Quinn. "Groupe Ariel S.A.: Parity Conditions and Cross-Border Valuation." Harvard Business School Brief Case 104-194, April 2010.
- February 1993
- Background Note
Teaching Notes: Communicating the Teacher's Wisdom
By: James E. Austin
Provides guidance for the preparation of teaching notes. Sets forth the rationale for teaching notes, what they should contain and why, and how they can be prepared. Based on the experiences of Harvard Business School faculty. View Details
Austin, James E. "Teaching Notes: Communicating the Teacher's Wisdom." Harvard Business School Background Note 793-105, February 1993.
- 02 May 2014
- News
Does Unusual Weather Cause More Crime?
- 17 Apr 2014
- News