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Show Results For
- All HBS Web
(7,213)
- People (19)
- News (1,273)
- Research (4,929)
- Events (79)
- Multimedia (45)
- Faculty Publications (3,618)
- April 2021
- Article
A Model of Multi-Pass Search: Price Search Across Stores and Time
By: Navid Mojir and K. Sudhir
In retail settings with price promotions, consumers often search across stores and time. However, the search literature typically only models one pass search across stores, ignoring revisits to stores; the choice literature using scanner data has modeled search across... View Details
Keywords: Consumer Search; Multi-pass Search; Price Search; Store Search; Spatial Search; Temporal Search; Spatiotemporal Search; Dynamic Structural Models; MPEC; Price Promotions; Store Loyalty; Consumer Behavior; Price; Spending; Marketing; Mathematical Methods
Mojir, Navid, and K. Sudhir. "A Model of Multi-Pass Search: Price Search Across Stores and Time." Management Science 67, no. 4 (April 2021): 2126–2150.
- 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
- Research Summary
Understanding the Limitations of Model Explanations
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
- 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).
- 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
Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations." Working Paper, 2022.
- Research Summary
Deep Indicators of Business Model Success
By: James L. Heskett
The purpose of this study is to develop ways of helping practitioners identify and measure deep indicators of success in the business models being pursued by their organizations. The hypothesis is that success is dependent on these deep indicators. The indicators are... View Details
- 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
Baker, Malcolm P. "Multifactor Models." Harvard Business School Exercise 207-056, January 2007.
- January 2020 (Revised December 2020)
- Technical Note
Business Model Analysis of Startups
By: Stig Leschly
Leschly, Stig. "Business Model Analysis of Startups." Harvard Business School Technical Note 820-089, January 2020. (Revised December 2020.)
- November 2012
- Article
Mumbai's Models of Service Excellence
By: Stefan Thomke
Thomke, Stefan. "Mumbai's Models of Service Excellence." Harvard Business Review 90, no. 11 (November 2012): 121–126.
- 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
Berry, Steven T., Ahmed Khwaja, Vineet Kumar, Andres Musalem, Kenneth C. Wilbur, Greg Allenby, Bharat Anand, Pradeep K. Chintagunta, W. Michael Hanemann, Przemyslaw Jeziorski, and Angelo Mele. "Structural Models of Complementary Choices." Marketing Letters 25, no. 3 (September 2014): 245–256.
- September 2006
- Teaching Note
Models of the Corporation (TN)
By: Joseph L. Badaracco Jr. and Aldo Sesia
Keywords: Corporate Governance
- 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
Collis, David J. "Value Creation Potential of New Business Models." Harvard Business School Module Note 724-491, June 2024.
- 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
Handscomb, Christopher, Deepak Mahadevan, Lars Schor, Marcus Sieberer, Euvin Naidoo, and Suraj Srinivasan. "An Operating Model for the Next Normal: Lessons from Agile Organizations in the Crisis." McKinsey & Company, June 2020.
- 26 Nov 2018
- Working Paper Summaries
Demand Estimation in Models of Imperfect Competition
Keywords: by Alexander MacKay and Nathan H. Miller
- 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
Applegate, Lynda M., W. Earl Sasser, and Kristin Kohler. "Overview of E-Business Pricing Models." Harvard Business School Supplement 801-182, September 2000. (Revised June 2002.)
- 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
Hiatt, Shon R., and James Weber. "Congruence Model Note." Harvard Business School Technical Note 413-037, August 2012. (Revised October 2012.)
- 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
Zhang, David Hao. "Semi-Parametric Estimation of Dynamic Discrete Choice Models." Working Paper, April 2018.
- 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
Collis, David J. "The Value Potential of New Business Models." Harvard Business School Working Paper, No. 20-028, September 2019.
- January 2006
- Tutorial
Cost-Volume Profit Models
By: David F. Hawkins, V.G. Narayanan, Jacob Cohen and Michele Jurgens
Covers fixed, variable, and semivariable costs and their role in building and interpreting cost-volume-profit models. Introduces the cost-volume and contribution-volume-profit models and identifies some of their uses and limitations. Teaches how to use the... View Details