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  • Teaching Interest

Overview

By: V.G. Narayanan
I teach accounting to MBA students, executives, and Harvard Extension School students. I teach topics from both financial and managerial accounting. I also train professors in teaching by the case method. View Details
Keywords: Financial Accounting; Management Accounting; Case Method Teaching; Corporate Governance; Customer Relationship Management; AI and Machine Learning; Health Industry; Education Industry; Banking Industry; India; North America
  • 2023
  • Article

Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability

By: Usha Bhalla, Suraj Srinivas and Himabindu Lakkaraju
With the increased deployment of machine learning models in various real-world applications, researchers and practitioners alike have emphasized the need for explanations of model behaviour. To this end, two broad strategies have been outlined in prior literature to... View Details
Keywords: AI and Machine Learning; Mathematical Methods
Related
  • July–August 2024
  • Article

Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals

By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response, which requires identifying differences in customer sensitivity, typically through the conditional average treatment effect (CATE) estimation. In theory, to... View Details
Keywords: Long-run Targeting; Heterogeneous Treatment Effect; Statistical Surrogacy; Customer Churn; Field Experiments; Consumer Behavior; Customer Focus and Relationships; AI and Machine Learning; Marketing Strategy
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  • 2023
  • Chapter

Marketing Through the Machine’s Eyes: Image Analytics and Interpretability

By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
Keywords: Transparency; Marketing Research; Algorithmic Bias; AI and Machine Learning; Marketing
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  • 2023
  • Working Paper

Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development

By: Daniel Yue, Paul Hamilton and Iavor Bojinov
Predictive model development is understudied despite its centrality in modern artificial intelligence and machine learning business applications. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms)... View Details
Keywords: Analytics and Data Science
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  • 23 Oct 2018
  • First Look

New Research and Ideas, October 23, 2018

Data and Machine Learning By: Guo, Xiaojia, Yael Grushka-Cockayne, and Bert De Reyck Abstract—Problem definition: In collaboration with Heathrow... View Details
Keywords: Dina Gerdeman
  • 2021
  • Working Paper

An Empirical Study of Time Allotment and Delays in E-commerce Delivery

By: M. Balakrishnan, MoonSoo Choi and Natalie Epstein
Problem definition: We study how having more time allotted to deliver an order affects the speed of the delivery process. Furthermore, we seek to predict orders that are likely to be delayed early in the delivery process so that actions can be taken to avoid delays.... View Details
Keywords: Logistics; E-commerce; Mathematical Methods; AI and Machine Learning; Performance Productivity
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  • 2023
  • Article

Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse

By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means... View Details
Keywords: AI and Machine Learning; Decision Choices and Conditions; Mathematical Methods
Related
  • March–April 2023
  • Article

Pricing for Heterogeneous Products: Analytics for Ticket Reselling

By: Michael Alley, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li and Georgia Perakis
Problem definition: We present a data-driven study of the secondary ticket market. In particular, we are primarily concerned with accurately estimating price sensitivity for listed tickets. In this setting, there are many issues including endogeneity, heterogeneity in... View Details
Keywords: Price; Demand and Consumers; AI and Machine Learning; Investment Return; Entertainment and Recreation Industry; Entertainment and Recreation Industry
Related
  • 11 Apr 2023
  • Research & Ideas

Is Amazon a Retailer, a Tech Firm, or a Media Company? How AI Can Help Investors Decide

industry lines as companies increasingly bring seemingly unrelated business lines together in unconventional ways. New research by Awada, Harvard Business School Professor Suraj Srinivasan, and doctoral student Paul J. Hamilton harnesses... View Details
Keywords: by Danielle Kost; Consumer Products; Real Estate; Financial Services; Retail
  • Research Summary

Overview

By: Isamar Troncoso
Professor Troncoso's research explores problems related to digital marketplaces and AI applications in marketing, and combines toolkits from econometrics, causal inference, and machine learning. She has studied how different platform design choices can lead to... View Details
  • 2023
  • Other Article

The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications

By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber
Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult... View Details
Keywords: USPTO; Natural Language Processing; Classification; Summarization; Patent Novelty; Patent Trolls; Patent Enforceability; Patents; Innovation and Invention; Intellectual Property; AI and Machine Learning; Analytics and Data Science
Related
  • 23 May 2023
  • Research & Ideas

Face Value: Do Certain Physical Features Help People Get Ahead?

empirically predicted with a machine learning model, suggests work by Shunyuan Zhang, an assistant professor at Harvard Business School, and collaborators. “Our research... View Details
Keywords: by Kara Baskin
  • 26 Jul 2022
  • Research & Ideas

Burgers with Bugs? What Happens When Restaurants Ignore Online Reviews

reviews helps consumers choose cleaner restaurants, which is a pretty robust finding." Harvard Business School Assistant Professor Chiara Farronato and Georgios Zervas, an associate professor at Boston University, used View Details
Keywords: by Kara Baskin; Entertainment & Recreation; Food & Beverage; Retail
  • 06 Jun 2017
  • First Look

First Look at New Research and Ideas: June 6, 2017

services firm, comprising over 1,000 applications and over 3,000 dependencies between them. Our methods allow us to disentangle the effects of different types and levels of... View Details
Keywords: Sean Silverthorne
  • 26 Feb 2019
  • First Look

New Research and Ideas, February 26, 2019

https://www.hbs.edu/faculty/Pages/item.aspx?num=55668 2019 Proceedings of the Hawaii International Conference on System Sciences Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise... View Details
Keywords: Dina Gerdeman
  • Article

Resilience vs. Vulnerability: Psychological Safety and Reporting of Near Misses with Varying Proximity to Harm in Radiation Oncology

By: Palak Kundu, Olivia Jung, Amy C. Edmondson, Nzhde Agazaryan, John Hegde, Michael Steinberg and Ann Raldow
Background
Psychological safety, a shared belief that interpersonal risk taking is safe, is an important determinant of incident reporting. However, how psychological safety affects near-miss reporting is unclear, as near misses contain contrasting cues that... View Details
Keywords: Psychological Safety; Near-miss Reporting; Health Care and Treatment; Safety
Related
  • 26 Feb 2001
  • Research & Ideas

David, Goliath, and Disruption

of HelloBrain.com Intelligent, handheld devices that hold basic information such as personal calendars and statistics have been around for some time, Schreck reminded the group. The great innovation of the... View Details
Keywords: by Martha Lagace
  • 30 Oct 2018
  • First Look

New Research and Ideas, October 30, 2018

Developing Theory Using Machine Learning Methods By: Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres Abstract—We describe how to employ... View Details
Keywords: Dina Gerdeman
  • 09 Oct 2018
  • First Look

New Research and Ideas, October 9, 2018

press Compensation & Benefits Review Winning the War for Talent: Modern Motivational Methods for Attracting and Retaining Employees By: Thibault-Landry, Anais, Allan Schweyer, View Details
Keywords: Dina Gerdeman

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