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Publications

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  • All HBS Web  (824)
    • News  (197)
    • Research  (530)
    • Events  (3)
  • Faculty Publications  (211)

Show Results For

  • All HBS Web  (824)
    • News  (197)
    • Research  (530)
    • Events  (3)
  • Faculty Publications  (211)
← Page 13 of 824 Results →
  • 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
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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).
  • 16 Aug 2016
  • First Look

August 16, 2016

activities of a large cohort of physician-MBAs by gathering information on 206 physician graduates from the Harvard Business School MBA program who obtained their degrees... View Details
Keywords: Sean Silverthorne
  • 24 Jul 2000
  • Research & Ideas

Value Maximization and Stakeholder Theory

important constituencies. Enlightened stakeholder theory adds the simple specification that the objective function of the firm is to maximize total long-term firm market value. In short, changes in total... View Details
Keywords: by Michael C. Jensen
  • August 2022
  • Teaching Note

BTS & ARMY

By: Doug J. Chung and Kay R. Koo
Industry leaders must define a particular outcome of interest (i.e., an objective) to establish an organization’s strategy. BTS’s initial objective was to increase brand recognition and to acquire a solid fanbase. The proliferation of social network platforms... View Details
Keywords: Cultural Diversity; Brand Equity; Go-to-market Strategy; Social Network; Entertainment Industry; Brands and Branding; Customer Relationship Management; Consumer Behavior; Social and Collaborative Networks; Social Entrepreneurship; Digital Platforms; Digital Marketing; Music Industry
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Chung, Doug J., and Kay R. Koo. "BTS & ARMY." Harvard Business School Teaching Note 523-031, August 2022.
  • 30 Apr 2024
  • Book

When Managers Set Unrealistic Expectations, Employees Cut Ethical Corners

the United States. In that work, I learned that company management had known about the dangers of asbestos since the 1930s but had actively suppressed information linking it to cancer to protect the... View Details
Keywords: by Dina Gerdeman
  • February 2011
  • Article

Bounded Ethicality in Negotiations

By: Max Bazerman
Routine and persistent acts of dishonesty prevail in everyday life, yet most people resist shining a critical moral light on their own behavior, thereby maintaining and oftentimes inflating images of themselves as moral individuals. We overview the psychology that... View Details
Keywords: Behavior; Values and Beliefs; Strategy; Goals and Objectives; Reputation; Negotiation; Moral Sensibility
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Bazerman, Max. "Bounded Ethicality in Negotiations." Negotiation and Conflict Management Research 4, no. 1 (February 2011): 8–11.
  • 17 Jun 2014
  • First Look

First Look: June 17

involves the realization that an ethical dilemma might be addressed other than by conceding one set of moral imperatives to meet another, and it involves the generation of solutions that allows competing... View Details
Keywords: Sean Silverthorne
  • Web

Placement - Doctoral

Harvard Business School, Post-Doctoral Fellow Dissertation: Essays on the Use of Information in Financial Intermediaries Advisors: Charles C.Y. Wang (Chair), Victoria Ivashina , and Suraj Srinivasan 2022... View Details
  • Program

Driving Corporate Performance

objectives Enhance competitiveness by better aligning all types of resources to customer needs Strengthen employee relationships and build a strong and enduring culture of... View Details
  • Program

Aligning Strategy and Sales

Summary A company's sales organization is a core vehicle for implementing business strategy—yet there's often a big gap between the company's strategic objectives and the way its sales organization actually functions. In this program, you... View Details
  • Web

Marketing - Faculty & Research

proving to be more challenging than expected and the team had needed to make changes to the brand's name and positioning, price points, and its product quality, styles, and fits to accommodate the needs of retailers and consumers in the... View Details
  • 30 Sep 2014
  • First Look

First Look: September 30

that could fundamentally change the way they had done business since the inception of the company in 1999. eClinicalWorks was a privately run business in the healthcare information technology field that took... View Details
Keywords: Sean Silverthorne
  • 2012
  • Working Paper

~Why Do We Redistribute so Much but Tag so Little? Normative Diversity, Equal Sacrifice and Optimal Taxation

By: Matthew Weinzierl
Tagging is a free lunch in conventional optimal tax theory because it eases the classic tradeoff between efficiency and equality. But tagging is used in only limited ways in tax policy. I propose one explanation: conventional optimal tax theory has yet to capture the... View Details
Keywords: Forecasting and Prediction; Cost; Framework; Policy; Taxation; Analytics and Data Science; Performance Efficiency; United States
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Weinzierl, Matthew. "~Why Do We Redistribute so Much but Tag so Little? Normative Diversity, Equal Sacrifice and Optimal Taxation." Harvard Business School Working Paper, No. 12-064, January 2012. (Revised August 2012. NBER Working Paper Series, No. 18045, August 2012)
  • April 2024
  • Case

Dr. Tom Mihaljevic and Cleveland Clinic

By: Linda A. Hill and Lydia Begag
In December 2022, Dr. Tomislav (“Tom”) Mihaljevic, CEO and President of Cleveland Clinic, was reflecting on the last few years at the hospital, marked both by unprecedented challenges and remarkable achievements. Cleveland Clinic had recently been ranked the world’s... View Details
Keywords: Recruitment; Retention; Analytics and Data Science; Digital Transformation; Digital Platforms; Innovation and Management; Innovation Leadership; Human Capital; Leadership Development; Leadership Style; Leading Change; Organizational Culture; Organizational Structure; Organizational Change and Adaptation; Mission and Purpose; Outcome or Result; Performance Evaluation; Health Pandemics; Goals and Objectives; Health Industry; Cleveland; London; Abu Dhabi; Florida; Ohio
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Hill, Linda A., and Lydia Begag. "Dr. Tom Mihaljevic and Cleveland Clinic." Harvard Business School Case 424-031, April 2024.
  • 26 Sep 2006
  • First Look

First Look: September 26, 2006

the economy that have occurred during the same time and argue that they are consistent with an increased use of information technology (IT) in general and enterprise View Details
Keywords: Sean Silverthorne
  • 11 Sep 2006
  • Research & Ideas

Negotiating When the Rules Suddenly Change

objectives and plans. While you're striving to influence their behavior, they're just as determined to shape your decisions to their advantage. According to Warfighting, appreciating this dynamic interplay between opposing human wills is... View Details
Keywords: by Michael Wheeler; Sports
  • 31 Jan 2017
  • First Look

First Look at New Research: January 31, 2017

which finds (a) a shift in the object of observation from organizational outcomes to the detailed individual activities within them; (b) a shift from people observing the technology to technology observing... View Details
Keywords: Carmen Nobel
  • October–December 2022
  • Article

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
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Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
  • 06 Feb 2007
  • First Look

First Look: February 6, 2007

attracted criticism for its purely empirical approach, its failure to make consistently accurate predictions, and its pursuit of commercial objectives in a university setting. Harvard's efforts to build a... View Details
Keywords: Martha Lagace
  • 20 Mar 2012
  • First Look

First Look: March 20

are two mechanisms by which this can happen: engaging the periphery may either change the information set of the core or help align incentives of multiple core actors. Engaging... View Details
Keywords: Sean Silverthorne
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