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Publications

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  • All HBS Web  (971)
    • News  (133)
    • Research  (714)
    • Events  (8)
    • Multimedia  (4)
  • Faculty Publications  (547)

Show Results For

  • All HBS Web  (971)
    • News  (133)
    • Research  (714)
    • Events  (8)
    • Multimedia  (4)
  • Faculty Publications  (547)
← Page 33 of 971 Results →
  • 1999
  • Article

Commercial Use of UPC Scanner Data: Industry and Academic Perspectives

By: Randolph E. Bucklin and Sunil Gupta
Keywords: Analytics and Data Science; Information Technology; Perspective; Education; Supply and Industry
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Bucklin, Randolph E., and Sunil Gupta. "Commercial Use of UPC Scanner Data: Industry and Academic Perspectives." Marketing Science 18, no. 3 (1999): 247–273.
  • April 2001
  • Article

Academic-Practitioner Collaboration in Management Research: A Case of Cross-Profession Collaboration

By: T. M. Amabile, C. Patterson, Jennifer Mueller, T. Wojcik, P. Odomirok, M. Marsh and S. Kramer
We present a case of academic-practitioner research collaboration to illuminate three potential determinants of the success of such cross-profession collaborations: collaborative team characteristics, collaboration environment characteristics, and collaboration... View Details
Keywords: Research; Cases; Analytics and Data Science; Theory
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Amabile, T. M., C. Patterson, Jennifer Mueller, T. Wojcik, P. Odomirok, M. Marsh, and S. Kramer. "Academic-Practitioner Collaboration in Management Research: A Case of Cross-Profession Collaboration." Academy of Management Journal 44, no. 2 (April 2001): 418–431.
  • September 2025
  • Article

Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India

By: Shawn Cole, Tomoko Harigaya, Grady Killeen and Aparna Krishna
This paper evaluates a low-cost, customized soil nutrient management advisory service in India. As a methodological contribution, we examine whether and in which settings satellite measurements may be effective at estimating both agricultural yields and treatment... View Details
Keywords: Measurement and Metrics; Mathematical Methods; Analytics and Data Science; Agriculture and Agribusiness Industry; India
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Cole, Shawn, Tomoko Harigaya, Grady Killeen, and Aparna Krishna. "Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India." Journal of Development Economics 176 (September 2025).
  • 01 Jun 2018
  • News

Floor It

coming out of labs over the next 10 years will surpass anything we’ve experienced in the past,” says HBS senior fellow Richard Hamermesh, who co-chairs the accelerator with Kathy Giusti (MBA 1985). “Looking ahead, we expect to have the ecosystem in place to improve... View Details
Keywords: Julia Hanna; illustration by Mengxin Li
  • February 2021
  • Article

Testing the Waters: Behavior across Participant Pools

By: Erik Snowberg and Leeat Yariv
We leverage a large-scale incentivized survey eliciting behaviors from (almost) an entire university student population, a representative sample of the U.S. population, and Amazon Mechanical Turk (MTurk) to address concerns about the external validity of experiments... View Details
Keywords: Lab Selection; External Validity; Experiments; Behavior; Surveys; Analytics and Data Science; Analysis
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Snowberg, Erik, and Leeat Yariv. "Testing the Waters: Behavior across Participant Pools." American Economic Review 111, no. 2 (February 2021): 687–719.
  • April 1996 (Revised June 1996)
  • Background Note

Cleveland Turnaround (C), The: Facts and Figures

By: James E. Austin and Jaan Elias
Traces the Cleveland community's efforts to move the city from economic, social, and political crisis in the late 1970s into revitalization and progress in the 1980s and 1990s. Special attention is given to the role of business leaders and the public-private... View Details
Keywords: Leading Change; Analytics and Data Science; Economic Growth; Business and Community Relations; Cleveland
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Austin, James E., and Jaan Elias. "Cleveland Turnaround (C), The: Facts and Figures." Harvard Business School Background Note 796-153, April 1996. (Revised June 1996.)
  • 2023
  • Article

Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators

By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details
Keywords: Regression Discontinuity Design; Analytics and Data Science; AI and Machine Learning
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Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
  • March 2023
  • Supplement

Allianz Türkiye (B): Adapting to a Changing World

By: John D. Macomber and Fares Khrais
Keywords: Insurance And Reinsurance; Natural Disasters; Turkey; Insurance; Climate Change; Analytics and Data Science; Insurance Industry; Financial Services Industry; Turkey
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Macomber, John D., and Fares Khrais. "Allianz Türkiye (B): Adapting to a Changing World." Harvard Business School Supplement 223-076, March 2023.
  • November 1998
  • Teaching Note

Working with your "Shadow Partner" TN

By: Richard L. Nolan
Teaching Note for (9-399-051). View Details
Keywords: Internet and the Web; Analytics and Data Science
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Nolan, Richard L. Working with your "Shadow Partner" TN. Harvard Business School Teaching Note 399-072, November 1998.
  • 01 Sep 2014
  • News

Ask the Expert: Byte-Testing Bitcoin

that will make anonymity an afterthought. I think the Bitcoin public ledger will eventually hold so much valuable information that some very interesting analytics companies are going to emerge to make sense of the data. Has there ever... View Details
Keywords: alumni; Data Processing, Hosting, and Related Services; Data Processing, Hosting, and Related Services
  • 01 Dec 2018
  • News

Adapting to Meet Changing Needs

Sciences (SEAS), and the Faculty of Arts and Sciences debuted the Harvard Business Analytics Program (HBAP), an online certificate offering for executives focused on quantitative analysis and data science. A... View Details
  • June 2022
  • Article

The Use and Misuse of Patent Data: Issues for Finance and Beyond

By: Josh Lerner and Amit Seru
Patents and citations are powerful tools for understanding innovation increasingly used in financial economics (and management research more broadly). Biases may result, however, from the interactions between the truncation of patents and citations and the changing... View Details
Keywords: Patents; Analytics and Data Science; Corporate Finance; Research
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Lerner, Josh, and Amit Seru. "The Use and Misuse of Patent Data: Issues for Finance and Beyond." Review of Financial Studies 35, no. 6 (June 2022): 2667–2704.
  • 2022
  • Article

Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations

By: Tessa Han, Suraj Srinivas and Himabindu Lakkaraju
A critical problem in the field of post hoc explainability is the lack of a common foundational goal among methods. For example, some methods are motivated by function approximation, some by game theoretic notions, and some by obtaining clean visualizations. This... View Details
Keywords: Mathematical Methods; Decision Choices and Conditions; Analytics and Data Science
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Han, Tessa, Suraj Srinivas, and Himabindu Lakkaraju. "Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022). (Best Paper Award, International Conference on Machine Learning (ICML) Workshop on Interpretable ML in Healthcare.)
  • 2022
  • Article

Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations

By: Jessica Dai, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach and Himabindu Lakkaraju
As post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to ensure that the quality of the resulting explanations is consistently high across all subgroups of a population. For instance, it... View Details
Keywords: Prejudice and Bias; Mathematical Methods; Research; Analytics and Data Science
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Dai, Jessica, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach, and Himabindu Lakkaraju. "Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 203–214.
  • 15 Nov 2018
  • News

Don’t Be Afraid of AI

they're really disassociated from the brain and the brain's neuroanatomy. They are very focused on what is really decades old algorithms that they have advanced and applied data and applied technology to solve some very big problems. But,... View Details
Keywords: Computer Systems Design and Related Services; Professional Services
  • 01 Jun 2013
  • News

Faculty Books

Professor Davenport and his coauthor offer practical tools to improve understanding of data analytics and enhance managerial thinking and decision-making, including the crucial skills of how to formulate a... View Details
Keywords: Publishing Industries (except Internet); Information
  • February 2011
  • Supplement

Dataset for "MercadoLibre.com" (CW)

By: Francisco de Asis Martinez-Jerez
Datasets of listings and powersellers transactions to perform analysis for the case. View Details
Keywords: Accounting; Analytics and Data Science; Management Analysis, Tools, and Techniques
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Martinez-Jerez, Francisco de Asis. Dataset for "MercadoLibre.com" (CW). Harvard Business School Spreadsheet Supplement 111-712, February 2011.
  • 06 Dec 2021
  • News

HBS Curricula Explore the Complexities of Innovation

of data management and analytics also led HBS to introduce Data Science for Managers, a new Required Curriculum elective for first-year MBA students. Then in their second year,... View Details
Keywords: Jennifer Gillespie
  • 18 Oct 2016
  • News

China, artificial intelligence, and Jim Breyer

partner level,” he said. “They are brilliant, work 100 hours a week and are intensely competitive.” When considering in which startups to invest capital, Breyer said if the company does not include an artificial intelligence data analysis... View Details
Keywords: Jennifer Myers
  • Fast Answer

Real estate finance

data, market intelligence, research, proprietary rankings, deal analysis, profiles, and trends. Real Estate Finance & Investment Review: Ref. HD1361 .R4233 in the Stamps Reading Room Moody’s Analytics CRE: Search... View Details
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