Filter Results:
(6,895)
Show Results For
- All HBS Web
(6,895)
- News (1,270)
- Research (4,436)
- Events (116)
- Multimedia (73)
- Faculty Publications (3,068)
Show Results For
- All HBS Web
(6,895)
- News (1,270)
- Research (4,436)
- Events (116)
- Multimedia (73)
- Faculty Publications (3,068)
- January–February 2025
- Article
The Double-Edged Sword of Exemplar Similarity
By: Majid Majzoubi, Eric Zhao, Tiona Zuzul and Greg Fisher
We investigate how a firm’s positioning relative to category exemplars shapes security analysts’ evaluations. Using a two-stage model of evaluation (initial screening and subsequent assessment), we propose that exemplar similarity enhances a firm’s recognizability and... View Details
Majzoubi, Majid, Eric Zhao, Tiona Zuzul, and Greg Fisher. "The Double-Edged Sword of Exemplar Similarity." Organization Science 36, no. 1 (January–February 2025): 121–144.
- 2023
- Article
On Minimizing the Impact of Dataset Shifts on Actionable Explanations
By: Anna P. Meyer, Dan Ley, Suraj Srinivas and Himabindu Lakkaraju
The Right to Explanation is an important regulatory principle that allows individuals to request actionable explanations for algorithmic decisions. However, several technical challenges arise when providing such actionable explanations in practice. For instance, models... View Details
Meyer, Anna P., Dan Ley, Suraj Srinivas, and Himabindu Lakkaraju. "On Minimizing the Impact of Dataset Shifts on Actionable Explanations." Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 39th (2023): 1434–1444.
- 2023
- Article
Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset
By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li
Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details
Keywords: Large Language Model; AI and Machine Learning; Analytics and Data Science; Health Industry
Liu, Junling, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, and Michael Lingzhi Li. "Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
- June 2023
- Article
How New Ideas Diffuse in Science
By: Mengjie Cheng, Daniel Scott Smith, Xiang Ren, Hancheng Cao, Sanne Smith and Daniel A. McFarland
What conditions help new ideas spread? Can knowledge entrepreneurs’ position and develop new ideas in ways that help them take off? Most innovation research focuses on products and their reference. That focus ignores the ideas themselves and the broader ideational... View Details
Keywords: Innovation Adoption; Natural Language Processing; Knowledge; Science; Innovation and Invention; Knowledge Sharing; Analytics and Data Science
Cheng, Mengjie, Daniel Scott Smith, Xiang Ren, Hancheng Cao, Sanne Smith, and Daniel A. McFarland. "How New Ideas Diffuse in Science." American Sociological Review 88, no. 3 (June 2023): 522–561.
- February 2011
- Supplement
Dataset for "Slots, Tables, and All That Jazz: Managing Customer Profitability at the MGM Grand Hotel" (CW)
By: Dennis Campbell and Francisco de Asis Martinez-Jerez
Datasets of gaming and hotel customers to perform analysis for the case. View Details
- 10 Dec 2014
- News
Yes, A/B Testing Is Still Necessary
- March 2023
- Supplement
Allianz Türkiye (C): Managing the 2017 Hail Storm
By: John D. Macomber and Fares Khrais
Allianz Turkey is a property casualty insurance company operating in a region experiencing increasing losses from natural catastrophe events related to climate change, for example hail, wildfire, and flooding. There are also substantial other natural catastrophe... View Details
Keywords: Insurance And Reinsurance; Natural Disasters; Turkey; Insurance; Climate Change; Analytics and Data Science; Insurance Industry; Financial Services Industry; Turkey
Macomber, John D., and Fares Khrais. "Allianz Türkiye (C): Managing the 2017 Hail Storm." Harvard Business School Supplement 223-084, March 2023.
- March 2023 (Revised April 2024)
- Case
Allianz Türkiye: Adapting to Climate Change
By: John D. Macomber and Fares Khrais
Allianz Turkey is a property casualty insurance company operating in a region experiencing increasing losses from natural catastrophe events related to climate change, for example hail, wildfire, and flooding. There are also substantial other natural catastrophe... View Details
Keywords: Insurance And Reinsurance; Natural Disasters; Turkey; Insurance; Climate Change; Analytics and Data Science; Insurance Industry; Financial Services Industry; Turkey
Macomber, John D., and Fares Khrais. "Allianz Türkiye: Adapting to Climate Change." Harvard Business School Case 223-074, March 2023. (Revised April 2024.)
- October 2000 (Revised April 2003)
- Background Note
Project Finance Research, Data, and Information Sources
By: Benjamin C. Esty and Fuaad Qureshi
Documents the major sources of project finance research and data. It is to be a reference guide for MBA students writing for the elective curriculum course, Large-scale Investment, and for others interested in the field of project finance. View Details
Esty, Benjamin C., and Fuaad Qureshi. "Project Finance Research, Data, and Information Sources ." Harvard Business School Background Note 201-041, October 2000. (Revised April 2003.)
- February 1994
- Background Note
Causal Inference
Discusses what causation is and what one can (and cannot) learn about causation from observational (nonexperimental) data. View Details
Schleifer, Arthur, Jr. "Causal Inference." Harvard Business School Background Note 894-032, February 1994.
- 14 May 2020
- News
Is Your Marketing Strategy Based on the Right Data?
- December 1998
- Case
Origins of National Income Accounting
By: David A. Moss and Joseph P Gownder
Set in the Great Depression, this case explores the origins of national income accounting in the United States. Highlights Senator La Follette's 1932 proposal for the federal government to begin collecting national income statistics. View Details
Keywords: Accounting; Financial Crisis; Analytics and Data Science; Mathematical Methods; United States
Moss, David A., and Joseph P Gownder. "Origins of National Income Accounting." Harvard Business School Case 799-080, December 1998.
- 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
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.
- 2023
- Working Paper
Corporate Website-based Measures of Firms' Value Drivers
By: Wei Cai, Dennis Campbell and Patrick Ferguson
We develop and validate new text-based measures of firms’ financial and non-financial value drivers. Using the Wayback Machine to access public US firms’ archived websites from 1995-2020, we scrape text from corporate homepages. We use Kaplan and Norton’s (1992)... View Details
Cai, Wei, Dennis Campbell, and Patrick Ferguson. "Corporate Website-based Measures of Firms' Value Drivers." SSRN Working Paper Series, No. 4413808, April 2023.
- 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
Bucklin, Randolph E., and Sunil Gupta. "Commercial Use of UPC Scanner Data: Industry and Academic Perspectives." Marketing Science 18, no. 3 (1999): 247–273.
- 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
Snowberg, Erik, and Leeat Yariv. "Testing the Waters: Behavior across Participant Pools." American Economic Review 111, no. 2 (February 2021): 687–719.
- 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
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.