Filter Results:
(241)
Show Results For
- All HBS Web (323)
- Faculty Publications (144)
Show Results For
- All HBS Web (323)
- Faculty Publications (144)
Sort by
- March 2021 (Revised January 2022)
- Case
Philips: Redefining Telehealth
By: Regina E. Herzlinger, Alec Petersen, Natalie Kindred and Sara M. McKinley
As one of the world’s largest healthcare companies, Philips sought to reach beyond the walls of the hospital and expand its hospital-to-home program to gain future competitive advantage through technology solutions combining predictive analytics with care delivery. By... View Details
Keywords: Health Care; Philips; Visicu; Telemedicine; eICU; Accountable Care Organization; ACO; Bundled Payment; Hospital To Home; Patient Monitoring Devices; Home Health Care; Health Care and Treatment; Communication Technology; Quality; Safety; Performance Productivity; Performance Capacity; Performance Efficiency; Consumer Behavior; Emerging Markets; Health Industry; Telecommunications Industry; Netherlands
Herzlinger, Regina E., Alec Petersen, Natalie Kindred, and Sara M. McKinley. "Philips: Redefining Telehealth." Harvard Business School Case 321-135, March 2021. (Revised January 2022.) (As companion reading for this case, see: Regina E. Herzlinger and Charles Huang. "Note on Bundled Payment in Health Care," HBS Background Note 312-032.)
- Forthcoming
- Article
Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming). (Pre-published online March 24, 2025.)
- Teaching Interest
MBA Required Curriculum-- Strategy Course
The objective of this course is to help students develop the skills for formulating strategy. It provides an understanding of:
- A firm's operative environment and how to sustain competitive advantage.
- How to generate superior value for customers... View Details
- Teaching Interest
Strategy
By: Jan W. Rivkin
The objective of this course is to help students develop the skills for formulating strategy, and provides an understanding of:
- A firm's operative environment and how to sustain competitive advantage.
- How to generate superior value for... View Details
- 2024
- Working Paper
The Impact of Culture Consistency on Subunit Outcomes
By: Jasmijn Bol, Robert Grasser, Serena Loftus and Tatiana Sandino
We examine the association between subunit culture consistency—defined as the congruence between the organizational values espoused by top management and those perceived and practiced by subunit employees—and subunit outcomes. Using data from 235 subunits of a... View Details
Bol, Jasmijn, Robert Grasser, Serena Loftus, and Tatiana Sandino. "The Impact of Culture Consistency on Subunit Outcomes." Working Paper, December 2024.
- Article
How Did the Great Recession Affect Charitable Giving?
By: Arthur C. Brooks
A great deal of research has studied the effects of income and tax changes on charitable giving. However, little work has focused on how these relationships were affected by the Great Recession. This article estimates the tax and income effects using the 2009 Panel... View Details
Keywords: Charitable Giving; Great Recession; Philanthropy; Philanthropy and Charitable Giving; Financial Crisis; Taxation; Policy
Brooks, Arthur C. "How Did the Great Recession Affect Charitable Giving?" Public Finance Review 46, no. 5 (September 2018): 715–742.
- Teaching Interest
MBA Required Curriculum—Strategy
By: Benjamin C. Esty
The objective of this course is to help students develop the skills for formulating strategy. It provides an understanding of:
- A firm's operative environment and how to sustain competitive advantage.
- How to generate superior... View Details
- January 2005 (Revised October 2005)
- Background Note
Standard & Poor's Sovereign Credit Ratings: Scales and Process
By: Rawi E. Abdelal and Christopher Bruner
Describes Standard & Poor's sovereign credit ratings scales and the credit rating process. In particular, describes the role and function of the rating committee and the analytical categories considered in arriving at a final sovereign credit rating. View Details
Keywords: Financial Markets; Credit; Bonds; Policy; Risk and Uncertainty; Measurement and Metrics; Forecasting and Prediction; Financial Services Industry
Abdelal, Rawi E., and Christopher Bruner. "Standard & Poor's Sovereign Credit Ratings: Scales and Process." Harvard Business School Background Note 705-027, January 2005. (Revised October 2005.)
- Article
How Well Do Social Ratings Actually Measure Corporate Social Responsibility?
By: Aaron K. Chatterji, David I. Levine and Michael W. Toffel
Ratings of corporations' environmental activities and capabilities influence billions of dollars of "socially responsible" investments as well as some consumers, activists, and potential employees. In one of the first studies to assess these ratings, we examine how... View Details
Keywords: Governance Compliance; Governing Rules, Regulations, and Reforms; Measurement and Metrics; Corporate Social Responsibility and Impact; Performance Effectiveness; Natural Environment; Pollutants
Chatterji, Aaron K., David I. Levine, and Michael W. Toffel. "How Well Do Social Ratings Actually Measure Corporate Social Responsibility?" Journal of Economics & Management Strategy 18, no. 1 (Spring 2009): 125–169.
- 2016
- Working Paper
Innovating in Science and Engineering or 'Cashing In' on Wall Street? Evidence on Elite STEM Talent
By: Pian Shu
Using data on MIT bachelor's graduates from 1994 to 2012, this paper empirically examines the extent to which the inflow of elite talent into the financial industry affects the supply of innovators in science and engineering (S&E). I first show that finance does not... View Details
Shu, Pian. "Innovating in Science and Engineering or 'Cashing In' on Wall Street? Evidence on Elite STEM Talent." Harvard Business School Working Paper, No. 16-067, December 2015. (Revised November 2016.)
- February 2010
- Background Note
Marketing Analysis Toolkit: Market Size and Market Share Analysis
By: Thomas J. Steenburgh and Jill Avery
Marketers frequently need to estimate the size of their markets—both for existing products so that sales forecasts can be developed and for new products so that market opportunities can be assessed. This toolkit enables students to size a market and generate a sales... View Details
Keywords: Forecasting and Prediction; Management Analysis, Tools, and Techniques; Marketing Strategy; Markets; Demand and Consumers; Size; Strategic Planning; Sales
Steenburgh, Thomas J., and Jill Avery. "Marketing Analysis Toolkit: Market Size and Market Share Analysis." Harvard Business School Background Note 510-081, February 2010.
- February 2019
- Case
Miroglio Fashion (A)
By: Sunil Gupta and David Lane
Francesco Cavarero, chief information officer of Miroglio Fashion, Italy’s third-largest retailer of women’s apparel, was trying to bring analytical rigor to the company’s forecasting and inventory management decisions. But fashion is inherently hard to predict. Can... View Details
Keywords: Inventory Management; Demand Forecasting; Artificial Intelligence; Machine Learning; Forecasting and Prediction; Operations; Management; Decision Making; AI and Machine Learning; Apparel and Accessories Industry; Fashion Industry
Gupta, Sunil, and David Lane. "Miroglio Fashion (A)." Harvard Business School Case 519-053, February 2019.
- February 2024
- Teaching Note
AB InBev: Brewing Up Forecasts during COVID-19
By: Mark Egan and C. Fritz Foley
Teaching Note for HBS Case No. 224-020. In July 2021, the CEO of AB InBev's European operations and his team strategized to position the company for success post-pandemic. As the world's largest beer company, boasting over 500 brands, revenue of $46 billion, and a... View Details
- August 2018 (Revised April 2019)
- Supplement
Chateau Winery (B): Supervised Learning
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on “Chateau Winery (A).” In this case, Bill Booth, marketing manager of a regional wine distributor, shifts to supervised learning techniques to try to predict which deals he should offer to customers based on the purchasing behavior of those... View Details
Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (B): Supervised Learning." Harvard Business School Supplement 119-024, August 2018. (Revised April 2019.)
- 20 Oct 2011
- Research & Ideas
Getting the Marketing Mix Right
to the effectiveness of their marketing instruments” Thomas J. Steenburgh, an associate professor in the Marketing Unit at Harvard Business School, has developed a new analytical tool that more accurately measures the effectiveness of... View Details
Keywords: by Dina Gerdeman
- September 2023 (Revised January 2024)
- Case
AB InBev: Brewing Up Forecasts during COVID-19
By: Mark Egan, C. Fritz Foley, Esel Cekin and Emilie Billaud
In July 2021, the CEO of AB InBev's European operations and his team strategized to position the company for success post-pandemic. As the world's largest beer company, boasting over 500 brands, revenue of $46 billion, and a workforce of 160,000 in 2020, AB InBev... View Details
Keywords: Beer; Forecasting; COVID-19; Decision; Forecasting and Prediction; Analytics and Data Science; Crisis Management; Decisions; Financing and Loans; Investment Return; Resource Allocation; Distribution; Production; Business Processes; Strategic Planning; Health Pandemics; Digital Transformation; Markets; Food and Beverage Industry; Belgium; Europe; Latin America; North and Central America
Egan, Mark, C. Fritz Foley, Esel Cekin, and Emilie Billaud. "AB InBev: Brewing Up Forecasts during COVID-19." Harvard Business School Case 224-020, September 2023. (Revised January 2024.)
- 25 Apr 2007
- Research & Ideas
Feeling Stuck? Getting Past Impasse
the crisis. We realize that our old ways are not working. It's not a matter of staying up late, working harder, and getting in earlier. Emotionally there's the feeling of being stuck. And then some predictable things happen in the second... View Details
Keywords: by Martha Lagace
- January–February 2023
- Article
Forecasting COVID-19 and Analyzing the Effect of Government Interventions
By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more... View Details
Keywords: COVID-19 Pandemic; Epidemics; Analytics and Data Science; Health Pandemics; AI and Machine Learning; Forecasting and Prediction
Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. "Forecasting COVID-19 and Analyzing the Effect of Government Interventions." Operations Research 71, no. 1 (January–February 2023): 184–201.
- Article
Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates
By: J. Peter Scoblic
Would-be forecasters have increasingly extolled the predictive potential of Big Data and artificial intelligence. This essay reviews the career of Sherman Kent, the Yale historian who directed the CIA’s Office of National Estimates from 1952 to 1967, with an eye toward... View Details
Keywords: National Security; Analytics and Data Science; Analysis; Forecasting and Prediction; History
Scoblic, J. Peter. "Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates." Texas National Security Review 1, no. 4 (August 2018).
- 2019
- Article
Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights
By: Maryam Ghasemaghaei and Goran Calic
Grounded in gestalt insight learning theory and organizational learning theory, we collected data from 280 middle and top-level managers to investigate the impact of each big data characteristic (i.e., data volume, data velocity, data variety, and data veracity) on... View Details
Ghasemaghaei, Maryam, and Goran Calic. "Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights." Journal of Business Research 104 (2019): 69–84.