Models Of Reimbursement - Publications - Faculty & Research - Harvard Business School

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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

Research Summary

Understanding the Limitations of Model Explanations

By: Himabindu Lakkaraju

The goal of this research is to understand how adversaries can exploit various algorithms used for explaining complex machine learning models with an intention to mislead end users. For instance, can adversaries trick these algorithms into masking their racial and... View Details

2022
Working Paper

TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations

By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh

Practitioners increasingly use machine learning (ML) models, yet they have become more complex and harder to understand. To address this issue, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use explainability... View Details

Keywords: Natural Language Conversations; Predictive Models; AI and Machine Learning

2017
Working Paper

Knowledge Flows within Multinationals—Estimating Relative Influence of Headquarters and Host Context Using a Gravity Model

By: Prithwiraj Choudhury, Mike Horia Teodorescu and Tarun Khanna

From the perspective of a multinational subsidiary, we employ the classic gravity equation in economics to model and compare knowledge flows to the subsidiary from the MNC headquarters and from the host country context. We also generalize traditional economics gravity... View Details

Keywords: Multinationals; Knowledge Flows; Cosine Similarity; Gravity Model; Multinational Firms and Management; Knowledge Dissemination; Business Headquarters; Immigration

January 2007
Exercise

Multifactor Models

By: Malcolm P. Baker

Students evaluate the performance of four mutual funds and compute the cost of capital for two companies using fixed benchmarks, the CAPM, and a multifactor model of returns. View Details

Keywords: Cost of Capital; Performance Evaluation; Business Model; Investment Funds; Investment Return; Motivation and Incentives; Markets

02 Oct 2019
Working Paper Summaries

The Value Potential of New Business Models

Keywords: by David J. Collis

June 2024
Module Note

Value Creation Potential of New Business Models

By: David J. Collis

A business model is composed of three elements. These describe a generic way of creating value and identify the maximum potential value of that model for customers. The elements of a business model are the “job to be done” for the customer, the asset configuration, or... View Details

Keywords: Business Model; Corporate Strategy; Mission and Purpose; Competitive Strategy; Value Creation

January 2020 (Revised December 2020)
Technical Note

Business Model Analysis of Startups

By: Stig Leschly

November 2012
Article

Mumbai's Models of Service Excellence

By: Stefan Thomke

1980
Chapter

Implications of Political Models of Organizations

By: M. Tushman and D. Nadler

Keywords: Government and Politics; Organizations

2020
Other Unpublished Work

An Operating Model for the Next Normal: Lessons from Agile Organizations in the Crisis

By: Christopher Handscomb, Deepak Mahadevan, Lars Schor, Marcus Sieberer, Euvin Naidoo and Suraj Srinivasan

Companies with agile practices embedded in their operating models have managed the impact of the COVID-19 crisis better than their peers. Here’s what helped them cope. View Details

Keywords: Operating Model; Agile Practices; Health Pandemics; Business Model; Crisis Management

2018
Working Paper

Semi-Parametric Estimation of Dynamic Discrete Choice Models

By: David Hao Zhang

I develop a new method for estimating counterfactuals in dynamic discrete choice models, a widely used set of models in economics, without requiring a distributional assumption on utility shocks. Applying my method to the canonical Rust (1987) setting, I find that the... View Details

Keywords: Semiparametrics; Dynamic Discrete Choice; Consumer Choice; Mathematical Methods

September 2014
Article

Structural Models of Complementary Choices

By: Steven T. Berry, Ahmed Khwaja, Vineet Kumar, Andres Musalem, Kenneth C. Wilbur, Greg Allenby, Bharat Anand, Pradeep K. Chintagunta, W. Michael Hanemann, Przemyslaw Jeziorski and Angelo Mele

Complementary choices are important and pervasive yet occasionally elusive. Single consumers make complementary choices in purchase decisions (e.g., chips and salsa), product inter-operabilities (smartphones and networks), and dynamic decisions (current exercise and... View Details

Keywords: Decision Choices and Conditions; Consumer Behavior

Find at Harvard

September 2006
Teaching Note

Models of the Corporation (TN)

By: Joseph L. Badaracco Jr. and Aldo Sesia

Keywords: Corporate Governance

September 2000 (Revised June 2002)
Supplement

Overview of E-Business Pricing Models

By: Lynda M. Applegate, W. Earl Sasser and Kristin Kohler

Supplements National Logistics Management. View Details

Keywords: Internet and the Web; Price; Business Model; Information Technology Industry

2019
Working Paper

The Value Potential of New Business Models

By: David J. Collis

One attempt to regain the ground that strategy has recently lost, which was described in the first article, has been the introduction of “business models” as the precursor to competitive positioning within an industry. Understanding a business model provides a... View Details

Keywords: Business Model; Value Creation

1994
Article

Lead-Time Models of Business Processes

By: Roberto Verganti

August 2012 (Revised October 2012)
Technical Note

Congruence Model Note

By: Shon R. Hiatt and James Weber

This note describes the Congruence Model, a method by which an organization can assess whether its building blocks (critical tasks, formal organizational arrangements, people, and culture) are aligned (congruent) with its strategy. The model postulates that... View Details

Keywords: Organizational Design; Organizational Structure; Business Processes; Alignment

A Neurocomputational Model of Altruism and Its Implications

In this paper, we propose a neurocomputational model of altruistic choice and test it using behavioral and fMRI data from a task in which subjects make choices between real monetary prizes for themselves and another. Our model captures key patterns of choice,... View Details

February 2021
Tutorial

Assessing Prediction Accuracy of Machine Learning Models

By: Michael Toffel and Natalie Epstein

This video describes how to assess the accuracy of machine learning prediction models, primarily in the context of machine learning models that predict binary outcomes, such as logistic regression, random forest, or nearest neighbor models. After introducing and... View Details

Keywords: Statistics; Experiments; Forecasting and Prediction; Performance Evaluation; AI and Machine Learning

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