Publications

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2022
Article

Towards Robust Off-Policy Evaluation via Human Inputs

By: Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez and Himabindu Lakkaraju

Off-policy Evaluation (OPE) methods are crucial tools for evaluating policies in high-stakes domains such as healthcare, where direct deployment is often infeasible, unethical, or expensive. When deployment environments are expected to undergo changes (that is, dataset... View Details

Keywords: Analytics and Data Science; Research

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2020
Working Paper

Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

By: Eva Ascarza

The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details

Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry

SSRN

28 Nov 2018
HBS Case

On Target: Rethinking the Retail Website

Professor Srikant M. Datar in a recent case study, Data Science at Target, co-written with research associate Caitlin N. Bowler. “Target had to make this big shift from thinking only about retailing to also... View Details

Keywords: by Dina Gerdeman; Retail

13 Nov 2018
First Look

New Research and Ideas, November 13, 2018

consistent assessment, this article provides a framework to rigorously evaluate the effectiveness of compliance programs. I present empirical models that use data collected from compliance initiatives—including whistleblower hotlines,... View Details

Keywords: Dina Gerdeman

July – August 2011
Article

Foundations of Organizational Trust: What Matters to Different Stakeholders?

By: Michael Pirson and Deepak Malhotra

Prior research on organizational trust has not rigorously examined the context specificity of trust nor distinguished between the potentially varying dimensions along which different stakeholders base their trust. As a result, dominant conceptualizations of... View Details

Keywords: Trust; Competency and Skills; Forecasting and Prediction; Ethics; Framework; Analytics and Data Science; Surveys; Organizations; Business and Stakeholder Relations; Identity; Perspective

Person Page

AOM Ethno PDW 2009-2014

AOM PDW 2014: Being There/Being Them: Entry, Exit, and In-Between in Organization Ethnography

Co-Organizers: Michel Anteby, Harvard; Curtis K. Chan, Harvard; Julia DiBenigno,... View Details

July 2015
Article

BYOB: How Bringing Your Own Shopping Bags Leads to Treating Yourself, and the Environment

By: Uma R. Karmarkar and Bryan Bollinger

As concerns about pollution and climate change have become more central in public discourse, shopping with reusable grocery bags has been strongly promoted as environmentally and socially conscious. In parallel, firms have joined policy makers in using a variety of... View Details

Keywords: Grocery Shopping; Reusable Bags; Licensing; Priming; Goals; Hedonic; Marketing Strategy; Consumer Behavior; Environmental Sustainability; Retail Industry

21 Mar 2018
Research & Ideas

Why Artificial Intelligence Isn't a Sure Thing to Increase Productivity

prior art, hunting for specific keywords to pull up past cases. The new machine learning tool automates this process, Choudhury says. “The document is fed into this tool, and then it spits out what it thinks would be the relevant documents for an examiner to look at.”... View Details

Keywords: by Michael Blanding; Technology; Information

01 Jun 2024
News

Leveraging Generative AI

Four decades after HBS became the first business school in the country to require the use of personal computers in the MBA Program, the School is undergoing a different kind of technological transformation, one that leverages generative artificial intelligence (GenAI)... View Details

Keywords: Jennifer Gillespie

Web

Rigorous research, rooted in practice | About

Race, Gender & Equity Social Enterprise Behavioral Finance & Financial Stability Case Method Project Creating Emerging Markets Digital Data Design Institute at Harvard Foundry Impact-Weighted Accounts Institute for Strategy and... View Details

Web

Skydeck - Alumni

Skydeck Live: The Science of a Meaningful Life Author Charles Duhigg (MBA 2003) on how we make meaning My First Job: Selling Shoes, Surviving Black Monday, and Shaped by Chicken Lenses Back by popular demand, we offer a second collection... View Details

2008
Working Paper

The Internalization of Advertising Services: An Inter-Industry Analysis

By: Sharon Horsky, Steven C. Michael and Alvin J. Silk

The common perception appears to be that vertical integration of advertising services is more the exception than the rule in the U.S. advertising industry. This study investigates the extent of such outsourcing and examines inter-industry variation in the use of... View Details

Keywords: Advertising; Cost; Analytics and Data Science; Management Analysis, Tools, and Techniques; Service Operations; Creativity; Perception; Vertical Integration; Information Technology; Advertising Industry; United States

2014
Article

Rainmakers: Why Bad Weather Means Good Productivity

By: Jooa Julia Lee, Francesca Gino and Bradley R. Staats

People believe that weather conditions influence their everyday work life, but to date, little is known about how weather affects individual productivity. Contrary to conventional wisdom, we predict and find that bad weather increases individual productivity and that... View Details

Keywords: Productivity; Opportunity Cost; Distractions; Weather; Performance Productivity; Cognition and Thinking

2023
Working Paper

An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits

By: Biyonka Liang and Iavor I. Bojinov

Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details

Keywords: Analytics and Data Science; AI and Machine Learning; Mathematical Methods

October 1, 2021
Article

An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance.

By: B.M. Balk, M.R. De Koster, Christian Kaps and J.L. Zofio

Cross-efficiency measurement is an extension of Data Envelopment Analysis that allows for tie-breaking ranking of the Decision Making Units (DMUs) using all the peer evaluations. In this article we examine the theory of cross-efficiency measurement by comparing a... View Details

Keywords: Efficiency Analysis; Performance Benchmarking; Warehousing; Analytics and Data Science; Performance Evaluation; Measurement and Metrics; Mathematical Methods