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  • 22 Apr 2014
  • First Look

First Look: April 22

account for secular changes in how payouts are made over the last 30 years, during which repurchases have replaced dividends as the prime vehicle for corporate payouts. Other payout motives such as changes in compensation practices and... View Details
Keywords: Sean Silverthorne
  • 09 Nov 2010
  • First Look

First Look: November 9, 2010

Ontological Leadership Course. 4. Provide participants an opportunity to create a community of scholars, educators, and practitioners to advance the Ontological Leadership Project. 5. Inquire into the next research frontier for the View Details
Keywords: Sean Silverthorne
  • 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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  • 12 Nov 2021
  • News

Alumni Business Leaders on Confronting the Climate Change Challenge

question: The data and analysis in the latest IPCC report amplified the reality that climate change is widespread, rapidly intensifying, and attributable to human activity. It... View Details
  • 01 Jul 2014
  • First Look

First Look: July 1

short-term debt. Publisher's link: http://www.people.hbs.edu/shanson/Comparative_Advantage_paper_20140623.pdf August 2013 Management Science Marketplace or Reseller? By: Hagiu, Andrei, View Details
Keywords: Carmen Nobel
  • Web

Faculty - Race, Gender & Equity

Faculty Faculty Jill J. Avery Senior Lecturer of Business Administration C. Roland Christensen Distinguished Management Educator Dr. Jill Avery is a Senior Lecturer of Business Administration and C. Roland... View Details
  • Web

Electricity - Business & Environment

clean, resilient, and consumer-centric through the application of data science and behavioral economics, optimizing the system assets View Details
  • 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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  • 15 Mar 2011
  • First Look

First Look: March 15

capital markets, standard setters, and financial analysts and how managers make accounting choices. But as accounting scholars have focused on understanding how markets View Details
Keywords: Sean Silverthorne
  • 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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  • 30 Aug 2016
  • First Look

August 30, 2016

compensation is more effective for salespeople with high base performance, whereas conditional compensation is equally effective across all types of salespeople. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=51539 forthcoming View Details
Keywords: Carmen Nobel
  • 10 Jan 2017
  • First Look

First Look at New Research: January 10, 2017

plumbing a career of extraordinary effectiveness, we have sought to learn as much as possible, extracting useful insights into the art and science of negotiation from Kissinger’s dealmaking at the highest... View Details
Keywords: Sean Silverthorne
  • 19 Jul 2016
  • First Look

July 19, 2016

might be appropriate to redesign (“refactor”) a system, to reduce what has been called “architectural debt.” Unfortunately, we lack robust data by which to evaluate the relationship between architectural design choices View Details
Keywords: Sean Silverthorne
  • 28 Aug 2012
  • First Look

First Look: August 28

and the environment while still creating value for their shareholders. How to Become a Sustainable Company Authors: Robert G. Eccles, Kathleen Miller Perkins, and George Serafeim Publication: MIT Sloan View Details
Keywords: Sean Silverthorne
  • 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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  • 12 Oct 2011
  • First Look

First Look: October 12

influence a team's knowledge-integration capability. We test our theoretical framework using data on knowledge workers in professional services and discuss implications for research View Details
Keywords: Sean Silverthorne
  • 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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  • 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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  • 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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  • 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... View Details