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  • All HBS Web  (1,001)
    • News  (133)
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    • Multimedia  (4)
  • Faculty Publications  (546)
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  • August 2008
  • Article

Economic Links and Predictable Returns

By: Lauren Cohen and Andrea Frazzini
This paper finds evidence of return predictability across economically linked firms. We test the hypothesis that in the presence of investors subject to attention constraints, stock prices do not promptly incorporate news about economically related firms, generating... View Details
Keywords: Economics; Price; Assets; Analytics and Data Science; Customers; Stocks; Equity; Strategy; Investment Return; Forecasting and Prediction
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Cohen, Lauren, and Andrea Frazzini. "Economic Links and Predictable Returns." Journal of Finance 63, no. 4 (August 2008). (Winner of Smith Breeden Prize for the Best Paper Published in the Journal of Finance in Asset Pricing (Distinguished Paper) 2008. Winner of Chicago Quantitative Alliance Academic Paper Competition. First Prize presented by Chicago Quantitative Alliance. Winner of BSI Gamma Foundation Research Grant presented by BSI Gamma Foundation​.)
  • January 1998 (Revised February 1998)
  • Case

Timberjack Parts: Packaged Software Selection Project

By: F. Warren McFarlan, Mark Keil and Darryl S. Romanow
This case provides a realistic, current, and detailed view of software procurement in an international business environment where the competition in enterprise-wide software solutions is growing. Focuses on the selection of packaged software to serve multiple sites... View Details
Keywords: Applications and Software; Information Technology; Analytics and Data Science; Multinational Firms and Management; Operations; Management Practices and Processes; Computer Industry; Information Technology Industry
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McFarlan, F. Warren, Mark Keil, and Darryl S. Romanow. "Timberjack Parts: Packaged Software Selection Project." Harvard Business School Case 398-085, January 1998. (Revised February 1998.)
  • 10 Jun 2013
  • Research & Ideas

How Numbers Talk to People

The problem with big data is that there is, well, so much of it. Analyzing it is like trying to sip from a firehose. Just in time, a new book on the art and science of quantitative analysis arrives this week. In Keeping Up with the... View Details
  • 16 Jul 2024
  • Research & Ideas

Weighing Digital Tradeoffs in Private Equity

intelligence (AI) and data analytics into an organization’s day-to-day operations to streamline workflows and gain data-driven insights to improve the business. “At this time, PE firms are finding that... View Details
Keywords: by Michael Blanding; Financial Services
  • September 2015 (Revised February 2023)
  • Case

Emdeon's Acquisition of Change Healthcare: Innovating Transparency Solutions for Health Care Consumers

By: Regina E. Herzlinger, Jeet Guram and Aanchal Raj
Case describes acquisition of Change Healthcare, which provides health care cost and quality information, by Emdeon, a health information exchange, and discusses health care transparency. Emdeon is a billion-dollar company that has grown through acquisitions; at its... View Details
Keywords: Healthcare; Healthcare Industry; Healthcare Innovation; Health Care and Treatment; Acquisition; Integration; Analytics and Data Science; Mergers and Acquisitions; Competitive Strategy; Health Industry; United States
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Herzlinger, Regina E., Jeet Guram, and Aanchal Raj. "Emdeon's Acquisition of Change Healthcare: Innovating Transparency Solutions for Health Care Consumers." Harvard Business School Case 316-026, September 2015. (Revised February 2023.)
  • 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
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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.
  • 15 May 2018
  • First Look

New Research and Ideas, May 15, 2018

case:https://cb.hbsp.harvard.edu/cbmp/product/518036 Harvard Business School Case 418-070 TrustSphere: Building a Market for Relationship Analytics Manish Goel was the CEO of TrustSphere, a seven-year-old company in the View Details
Keywords: Dina Gerdeman
  • August 2012
  • Article

Surviving the Global Financial Crisis: Foreign Ownership and Establishment Performance

By: Laura Alfaro and Maggie Chen
We examine the differential response of establishments to the recent global financial crisis with particular emphasis on the role of foreign ownership. Using a worldwide establishment panel dataset, we investigate how multinational subsidiaries around the world... View Details
Keywords: Globalization; Financial Crisis; Multinational Firms and Management; Analytics and Data Science; Business Subsidiaries; Production; Finance; Performance; Ownership
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Alfaro, Laura, and Maggie Chen. "Surviving the Global Financial Crisis: Foreign Ownership and Establishment Performance." American Economic Journal: Economic Policy 4, no. 3 (August 2012): 30–55. (Also NBER Working Paper No. 17141.)
  • May 2024
  • Article

Housing Policies and Energy Efficiency Spillovers in Low and Moderate Income Communities

By: Omar Isaac Asensio, Olga Churkina, Becky D. Rafter and Kira E O'Hare
Housing policies address the human dimensions of increasing urban density, but their energy and sustainability implications are hard to measure due to challenges with siloed civic data. This is especially critical when evaluating policies targeting low- and... View Details
Keywords: Energy Efficiency; Public Policy; Climate Change; Energy Conservation; Housing; Analytics and Data Science; Policy; Income; Environmental Sustainability; Real Estate Industry; United States
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Asensio, Omar Isaac, Olga Churkina, Becky D. Rafter, and Kira E O'Hare. "Housing Policies and Energy Efficiency Spillovers in Low and Moderate Income Communities." Nature Sustainability 7, no. 5 (May 2024): 590–601.
  • 16 Oct 2012
  • First Look

First Look: October 16

in managing business analytics and big data at the enterprise level. It includes key applications of analytics, human and organizational issues in building analytical... View Details
Keywords: Sean Silverthorne
  • May 1992 (Revised January 2000)
  • Case

Asea Brown Boveri: The ABACUS System

By: Robert L. Simons
Describes the computer-based information system (ABACUS) used to monitor and control business operations in a complex, global company. Describes the technical attributes of the database system, financial reporting requirements, target setting and profit calculations on... View Details
Keywords: Financial Reporting; Profit; Business Growth and Maturation; Analytics and Data Science; Design; Accounting Audits; Growth and Development; Globalized Firms and Management; Complexity; Technology Industry
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Simons, Robert L. "Asea Brown Boveri: The ABACUS System." Harvard Business School Case 192-140, May 1992. (Revised January 2000.)
  • 17 Nov 2015
  • First Look

November 17, 2015

Hoffenheim: Football in the Age of Analytics In 2015, Dietmar Hopp, owner of Germany’s Bundesliga football team TSG Hoffenheim and co-founder of the global enterprise software company SAP, was considering how to ensure long-term... View Details
Keywords: Sean Silverthorne
  • December 2010
  • Background Note

Risk and Reward in Venture Capital

By: William A. Sahlman
This note describes the payoff structure of investment in individual venture capital–backed companies and in venture capital portfolios. Venture Capital investments are characterized by high failure rate (0ver 50%) and a small number of given successes (greater than... View Details
Keywords: Capital Markets; Venture Capital; Investment Return; Investment Portfolio; Analytics and Data Science; Failure; Performance; Information Technology
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Sahlman, William A. "Risk and Reward in Venture Capital." Harvard Business School Background Note 811-036, December 2010.
  • July 2023
  • Article

So, Who Likes You? Evidence from a Randomized Field Experiment

By: Ravi Bapna, Edward McFowland III, Probal Mojumder, Jui Ramaprasad and Akhmed Umyarov
With one-third of marriages in the United States beginning online, online dating platforms have become important curators of the modern social fabric. Prior work on online dating has elicited two critical frictions in the heterosexual dating market. Women, governed by... View Details
Keywords: Online Dating; Internet and the Web; Analytics and Data Science; Gender; Emotions; Social and Collaborative Networks
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Bapna, Ravi, Edward McFowland III, Probal Mojumder, Jui Ramaprasad, and Akhmed Umyarov. "So, Who Likes You? Evidence from a Randomized Field Experiment." Management Science 69, no. 7 (July 2023): 3939–3957.
  • August 2004 (Revised September 2005)
  • Case

Canyon Ranch

By: Lynda M. Applegate and Gabriele Piccoli
How should Canyon Ranch leverage its uniqueness in the face of increasing competition and an entrenched customer definition of the firm? The firm is attempting to create demand for return visits and foster the customization and personalization of the Canyon Ranch... View Details
Keywords: Customer Relationship Management; Information Technology; Growth and Development Strategy; Competitive Strategy; Experience and Expertise; Analytics and Data Science; Customization and Personalization
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Applegate, Lynda M., and Gabriele Piccoli. "Canyon Ranch." Harvard Business School Case 805-027, August 2004. (Revised September 2005.)
  • February 6, 2024
  • Article

Find the AI Approach That Fits the Problem You’re Trying to Solve

By: George Westerman, Sam Ransbotham and Chiara Farronato
AI moves quickly, but organizations change much more slowly. What works in a lab may be wrong for your company right now. If you know the right questions to ask, you can make better decisions, regardless of how fast technology changes. You can work with your technical... View Details
Keywords: Technology Adoption; AI and Machine Learning; Organizational Change and Adaptation; Technological Innovation; Analytics and Data Science
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Westerman, George, Sam Ransbotham, and Chiara Farronato. "Find the AI Approach That Fits the Problem You’re Trying to Solve." Harvard Business Review Digital Articles (February 6, 2024).
  • March 2015 (Revised June 2015)
  • Case

Medalogix

By: Richard G. Hamermesh and Matthew G. Preble
This case examines an exciting new approach to health care that will help care providers identify when hospice services are the appropriate type of care for patients. The company, Medalogix, already has a product on the market that uses a proprietary algorithm to... View Details
Keywords: Health Care; Health Care Entrepreneurship; Health Care Services; Implementing Strategy; Dissemination; Innovation; Market Selection; Health; Health Care and Treatment; Analytics and Data Science; Marketing Strategy; Innovation and Management; Innovation Strategy; Health Industry; United States
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Hamermesh, Richard G., and Matthew G. Preble. "Medalogix." Harvard Business School Case 815-116, March 2015. (Revised June 2015.)
  • 15 Dec 2020
  • Research & Ideas

The Unspoken Messages of COVID-19 Restrictions

colleagues found striking trends as they looked closer at dining patterns. The team analyzed almost six months of data from the foot traffic analytics firm SafeGraph to gauge how many people were leaving... View Details
Keywords: by Danielle Kost; Food & Beverage
  • 12 Jan 2016
  • First Look

January 12, 2016

utilize such data are of considerable interest. Unfortunately, existing methods for analyzing the data in such systems ignore the open-ended exploratory nature of such systems that requires the assessment of... View Details
Keywords: Carmen Nobel
  • November 2001 (Revised August 2005)
  • Case

BigEast Bank (A): Credit Card Approval

By: Frances X. Frei and Dennis Campbell
BigEast is considering adopting a relationship-centric view in its credit card approval process. This would shift the bank's current practice of analyzing applications based on the merits of a single product to one where the customer's existing relationship is... View Details
Keywords: Customers; Forecasting and Prediction; Banks and Banking; Analytics and Data Science; Managerial Roles; Relationships; Adoption; Banking Industry
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Frei, Frances X., and Dennis Campbell. "BigEast Bank (A): Credit Card Approval." Harvard Business School Case 602-098, November 2001. (Revised August 2005.)
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