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Show Results For
- All HBS Web
(1,004)
- News (131)
- Research (715)
- Events (8)
- Multimedia (4)
- Faculty Publications (553)
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- January 2021
- Article
Using Models to Persuade
By: Joshua Schwartzstein and Adi Sunderam
We present a framework where "model persuaders" influence receivers’ beliefs by proposing models that organize past data to make predictions. Receivers are assumed to find models more compelling when they better explain the data, fixing receivers’ prior beliefs. Model... View Details
Keywords: Model Persuasion; Analytics and Data Science; Forecasting and Prediction; Mathematical Methods; Framework
Schwartzstein, Joshua, and Adi Sunderam. "Using Models to Persuade." American Economic Review 111, no. 1 (January 2021): 276–323.
- 2025
- Working Paper
Data-driven Technologies and Local Information Advantages in Small Business Lending
By: Wilbur Chen, Jung Koo Kang and Aditya Mohan
We investigate whether banks' adoption of data-driven technologies influences competitive dynamics in local small business lending by diminishing the information advantages traditionally held by local banks. Using local newspaper closures as an adverse shock to the... View Details
Keywords: Data-driven Technologies; Local Information Advantages; Local Banks; Relationship Lending; Small Business Loans; Small Business; Local Range; Financing and Loans; Banks and Banking; Analytics and Data Science; Banking Industry
Chen, Wilbur, Jung Koo Kang, and Aditya Mohan. "Data-driven Technologies and Local Information Advantages in Small Business Lending." Harvard Business School Working Paper, No. 25-057, May 2025.
- August 23, 2018
- Article
Using a New EHR System to Increase Patient Engagement, Improve Efficiency, and Decrease Cost
By: Katy French, Barbra Bryce Speer, Alexis B. Guzman, Tayab Andrabi, Iris Recinos, Keith A. Shook, James R. Incalcaterra, John C. Frenzel and Thomas W. Feeley
Patients and providers are frustrated with seemingly endless data entry. We used our patients’ vested interest in their own health care by actively engaging them in the entry of their own medical information into the EHR. Prior to the implementation of the new EHR we... View Details
Keywords: Health Care and Treatment; Analytics and Data Science; Performance Efficiency; Cost Management
French, Katy, Barbra Bryce Speer, Alexis B. Guzman, Tayab Andrabi, Iris Recinos, Keith A. Shook, James R. Incalcaterra, John C. Frenzel, and Thomas W. Feeley. "Using a New EHR System to Increase Patient Engagement, Improve Efficiency, and Decrease Cost." NEJM Catalyst (August 23, 2018).
- April 2017
- Teaching Note
Basecamp: Pricing
By: Frank V. Cespedes
This Teaching Note accompanies HBS No. 817-067 “Basecamp: Pricing” in which a data analyst at Basecamp is evaluating the results of pricing research and its potential implications for the venture's latest version of its project management software product. View Details
- 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.)
- September–October 2024
- Article
Where Data-Driven Decision-Making Can Go Wrong
By: Michael Luca and Amy C. Edmondson
When considering internal data or the results of a study, often business leaders either take the evidence presented as gospel or dismiss it altogether. Both approaches are misguided. What leaders need to do instead is conduct rigorous discussions that assess any... View Details
Luca, Michael, and Amy C. Edmondson. "Where Data-Driven Decision-Making Can Go Wrong." Harvard Business Review 102, no. 5 (September–October 2024): 80–89.
- February 2021
- Article
Topic Classification of Electric Vehicle Consumer Experiences with Transformer-Based Deep Learning
By: Sooji Ha, Daniel J Marchetto, Sameer Dharur and Omar Isaac Asensio
The transportation sector is a major contributor to greenhouse gas (GHG) emissions and is a driver of adverse health effects globally. Increasingly, government policies have promoted the adoption of electric vehicles (EVs) as a solution to mitigate GHG emissions.... View Details
Keywords: Natural Language Processing; Analytics and Data Science; Environmental Sustainability; Infrastructure; Transportation; Policy
Ha, Sooji, Daniel J Marchetto, Sameer Dharur, and Omar Isaac Asensio. "Topic Classification of Electric Vehicle Consumer Experiences with Transformer-Based Deep Learning." Art. 100195. Patterns 2, no. 2 (February 2021).
- 2017
- Working Paper
Inventory Management for Mobile Money Agents in the Developing World
By: Karthik Balasubramanian, David F. Drake and Douglas Fearing
Mobile money systems, platforms built and managed by mobile network operators to allow money to be stored as digital currency, have burgeoned in the developing world as a mechanism to transfer money electronically. Mobile money agents exchange cash for electronic value... View Details
Balasubramanian, Karthik, David F. Drake, and Douglas Fearing. "Inventory Management for Mobile Money Agents in the Developing World." Harvard Business School Working Paper, No. 17-109, June 2017. (Presented at INFORMS 2015 and POMS 2016. Finalist and first runner up, Production and Operations Management College of Sustainable Operations Best Student Paper Award.)
- Article
Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy
By: Edward Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca
The proliferation of big data makes it possible to better target city services like hygiene inspections, but city governments rarely have the in-house talent needed for developing prediction algorithms. Cities could hire consultants, but a cheaper alternative is to... View Details
Keywords: User-generated Content; Operations; Tournaments; Policy-making; Machine Learning; Online Platforms; Analytics and Data Science; Mathematical Methods; City; Infrastructure; Business Processes; Government and Politics
Glaeser, Edward, Andrew Hillis, Scott Duke Kominers, and Michael Luca. "Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy." American Economic Review: Papers and Proceedings 106, no. 5 (May 2016): 114–118.
- 2023
- Chapter
Inflation and Misallocation in New Keynesian Models
By: Alberto Cavallo, Francesco Lippi and Ken Miyahara
The New Keynesian framework implies that sluggish price adjustment results in a distorted allocation of resources. We use a simple model to quantify these unobservable distortions, using data that depict the price-setting behavior of firms, specifically the frequency... View Details
Cavallo, Alberto, Francesco Lippi, and Ken Miyahara. "Inflation and Misallocation in New Keynesian Models." In ECB Forum on Central Banking 26-28 June 2023, Sintra, Portugal: Macroeconomic Stabilisation in a Volatile Inflation Environment. European Central Bank, 2023.
- 2022
- Article
OpenXAI: Towards a Transparent Evaluation of Model Explanations
By: Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik and Himabindu Lakkaraju
While several types of post hoc explanation methods have been proposed in recent literature, there is very little work on systematically benchmarking these methods. Here, we introduce OpenXAI, a comprehensive and extensible opensource framework for evaluating and... View Details
Agarwal, Chirag, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, and Himabindu Lakkaraju. "OpenXAI: Towards a Transparent Evaluation of Model Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022).
- 2015
- Report
Clusters and Regional Economies: Implications for the Great Lakes - St. Lawrence Region
By: Christian H.M. Ketels
The Great Lakes – St. Lawrence Region, covering eight U.S. states and two Canadian provinces located around the lakes and waterways that have given this region its name, is what economic developers call a 'macro region'. It is an area of intensive economic interaction... View Details
Keywords: Clusters; Regional Policy; Great Lakes; Economic Development; Industry Clusters; Economy; Canada; United States
Ketels, Christian H.M. "Clusters and Regional Economies: Implications for the Great Lakes - St. Lawrence Region." Report, Conference of Great Lakes and St. Lawrence Governors and Premiers, Chicago, IL, August 2015.
- November–December 2022
- Article
Your Company Needs a Space Strategy. Now.
By: Matthew Weinzierl, Prithwiraj (Raj) Choudhury, Tarun Khanna, Alan MacCormack and Brendan Rosseau
Space is becoming a potential source of value for businesses across a range of sectors, including agriculture, pharmaceuticals, consumer goods, and tourism. To understand what the opportunities are for your company, the authors advise you to consider the four ways in... View Details
Keywords: Space Strategy; Emerging Markets; Natural Resources; Analytics and Data Science; Organizational Change and Adaptation; Adaptation; Competition; Aerospace Industry
Weinzierl, Matthew, Prithwiraj (Raj) Choudhury, Tarun Khanna, Alan MacCormack, and Brendan Rosseau. "Your Company Needs a Space Strategy. Now." Harvard Business Review (November–December 2022): 80–91.
- 2012
- Book
The Culture Cycle: How to Shape the Unseen Force That Transforms Performance
By: James Heskett
The contribution of culture to organizational performance is both substantial and quantifiable. This book presents the results of field research that demonstrates how an effective culture can account for up to half of the differential in performance between... View Details
Keywords: Customer Focus and Relationships; Learning; Framework; Policy; Retention; Books; Analytics and Data Science; Innovation and Invention; Management Practices and Processes; Organizational Culture; Performance Expectations; Research
Heskett, James. The Culture Cycle: How to Shape the Unseen Force That Transforms Performance. Upper Saddle River, NJ: FT Press, 2012.
- May 2013
- Teaching Note
Launching Krispy Natural: Cracking the Product Management Code (Brief Case)
By: Frank V. Cespedes and Heather Beckham
This case study concerns a review and interpretation of test market results for a new packaged good product. The purpose of the case is to provide students with practice and guidelines in the analysis of quantitative test market data while illustrating the roles of... View Details
- June 1982 (Revised May 1995)
- Case
Ellis Manufacturing Co.
By: Roy D. Shapiro
Ellis finds itself in a weakening competitive position largely due to the lack of rationalization in its plants. Driven by a strong traditionally decentralized sales organization, Ellis finds that all plants want control over all product lines. As a result, overall... View Details
Keywords: Factories, Labs, and Plants; Cost; Analytics and Data Science; Brands and Branding; Performance Capacity; Competitive Strategy; Construction Industry
Shapiro, Roy D. "Ellis Manufacturing Co." Harvard Business School Case 682-103, June 1982. (Revised May 1995.)
- 23 Oct 2018
- First Look
New Research and Ideas, October 23, 2018
conduct laboratory experiments that explore how gender stereotypes shape beliefs about ability of oneself and others in different categories of knowledge. The data reveal two patterns. First, men’s and women’s beliefs about both oneself... View Details
Keywords: Dina Gerdeman
- 2019
- Working Paper
Biometric Monitoring, Service Delivery and Misreporting: Evidence from Healthcare in India
By: Thomas Bossuroy, Clara Delavallade and Vincent Pons
Developing countries increasingly use biometric identification technology in hopes of improving the reliability of administrative information and delivering social services more efficiently. This paper exploits the random placement of biometric tracking devices in... View Details
Keywords: Biometric Technology; Health Care and Treatment; Technological Innovation; Analytics and Data Science; Quality; Performance Improvement; India
Bossuroy, Thomas, Clara Delavallade, and Vincent Pons. "Biometric Monitoring, Service Delivery and Misreporting: Evidence from Healthcare in India." NBER Working Paper Series, No. 26388, October 2019. (Revise and resubmit requested, Review of Economics and Statistics.)
- September 2019 (Revised May 2021)
- Case
pymetrics: International Expansion
By: John R. Wells and Benjamin Weinstock
In August 2018, pymetrics, a solution offering neuroscience-based recruiting tests, closed a $40 million funding round that valued the business at $160 million. Over 60 companies around the globe were using pymetrics tests in their recruiting process, including... View Details
Keywords: BrainTech; Psychodynamics; Psychology; Hiring Of Employees; Hiring; Strategic Evolution; Strategy And Execution; Startup; Start-up; Startups; Start-ups; Entrepreneur; Bias; Rapid Growth Stage; Recruitment; Selection and Staffing; Strategy; Business Startups; Employment; Growth and Development Strategy; Global Strategy
Wells, John R., and Benjamin Weinstock. "pymetrics: International Expansion." Harvard Business School Case 720-376, September 2019. (Revised May 2021.)
- January 2024 (Revised February 2024)
- Course Overview Note
Managing Customers for Growth: Course Overview for Students
By: Eva Ascarza
Managing Customers for Growth (MCG) is a 14-session elective course for second-year MBA students at Harvard Business School. It is designed for business professionals engaged in roles centered on customer-driven growth activities. The course explores the dynamics of... View Details
Keywords: Customer Relationship Management; Decision Making; Analytics and Data Science; Growth Management; Telecommunications Industry; Technology Industry; Financial Services Industry; Education Industry; Travel Industry
Ascarza, Eva. "Managing Customers for Growth: Course Overview for Students." Harvard Business School Course Overview Note 524-032, January 2024. (Revised February 2024.)