Algorithmic Decision Making - Publications - Faculty & Research - Harvard Business School

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April 2024
Article

Decision Authority and the Returns to Algorithms

By: Hyunjin Kim, Edward L. Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca

We evaluate a pilot in an Inspections Department to explore the returns to a pair of algorithms that varied in their sophistication. We find that both algorithms provided substantial prediction gains, suggesting that even simple data may be helpful. However, these... View Details

Keywords: Algorithmic Aversion; Algorithmic Decision Making; Algorithms; Public Entrepreneurship; Govenment; Local Government; Crowdsourcing; Crowdsourcing Contests; Inspection; Principal-agent Theory; Government Administration; Decision Making; Public Administration Industry; United States

September 2020 (Revised July 2022)
Technical Note

Algorithmic Bias in Marketing

By: Ayelet Israeli and Eva Ascarza

This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and product—characterizing the marketing... View Details

Article

Corporate Stakeholders Management – An Empirical Study of Organisational Decision Making Criteria

By: Shashank Shah and Sudhir Bhaskar

Keywords: Stakeholder Management; Decision Making; India

2018
Working Paper

Algorithm Appreciation: People Prefer Algorithmic to Human Judgment

By: Jennifer M. Logg, Julia A. Minson and Don A. Moore

Even though computational algorithms often outperform human judgment, received wisdom suggests that people may be skeptical of relying on them (Dawes, 1979). Counter to this notion, results from six experiments show that lay people adhere more to advice when they think... View Details

Keywords: Algorithms; Accuracy; Advice Taking; Forecasting; Theory Of Machine; Mathematical Methods; Decision Making; Forecasting and Prediction; Trust

November 2022 (Revised February 2024)
Exercise

Managing Customer Retention at Teleko

By: Eva Ascarza

This exercise aims to teach students about 1) Targeting Policies; and 2) Algorithmic decision making, and 3) Retention management. View Details

Keywords: Algorithmic Decision Making; Marketing Strategy; Customer Focus and Relationships

2023
Working Paper

Algorithm Failures and Consumers' Response: Evidence from Zillow

By: Isamar Troncoso, Runshan Fu, Nikhil Malik and Davide Proserpio

In November 2021, Zillow announced the closure of its iBuyer business. Popular media largely attributed this to a failure of its proprietary forecasting algorithm. We study the response of consumers to Zillow’s iBuyer business closure. We show that after the iBuyer... View Details

Keywords: Algorithmic Pricing; Price; Forecasting and Prediction; Consumer Behavior; Real Estate Industry

Research Summary

Decision making

Dr. Bos investigates how unconscious processes aid and improve performance. His work contests the common-sense notion that conscious deliberation always leads to the best outcomes. Dr. Bos and colleagues propose that, for complex decisions, the best outcomes result... View Details

Article

Algorithms Need Managers, Too

By: Michael Luca, Jon Kleinberg and Sendhil Mullainathan

Algorithms are powerful predictive tools, but they can run amok when not applied properly. Consider what often happens with social media sites. Today many use algorithms to decide which ads and links to show users. But when these algorithms focus too narrowly on... View Details

Keywords: Machine Learning; Algorithms; Predictive Analytics; Management; Big Data; Analytics and Data Science

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2017
Working Paper

The 4 Minds of the Customer: A Framework for Understanding and Applying the Science of Decision Making

By: Ryan Hamilton and Uma R. Karmarkar

Scientists have spent decades creating powerful and detailed descriptions of how people make decisions. Unfortunately, many of these theories make contradictory predictions and are difficult to understand and implement. We introduce the 4 Minds framework as a practical... View Details

Keywords: Consumer Choice; Market Research; Decision Making Process; Decision; Marketing Research; Consumer Behavior; Decision Choices and Conditions; Marketing; Decision Making; Segmentation; Research

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September 2020 (Revised July 2022)
Exercise

Artea (C): Potential Discrimination through Algorithmic Targeting

By: Eva Ascarza and Ayelet Israeli

This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details

Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

Research Summary

Intra-Household Decision Making

Professor Ashraf's research in intra-household decision making examines how households make financial and health decisions, particularly in the presence of asymmetric information or benefits.

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Article

Towards Robust and Reliable Algorithmic Recourse

By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju

As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan approvals), there has been growing interest in post-hoc techniques which provide recourse to affected individuals. These techniques generate recourses under the assumption... View Details

Keywords: Machine Learning Models; Algorithmic Recourse; Decision Making; Forecasting and Prediction

2025
Working Paper

How to Choose Among Technologies with Learning Curves: Making Better Investment Decisions

By: Christian Kaps and Arielle Anderer

Learning curves, the fact that technologies improve as a function of cumulative experience or investment, are desirable-think inexpensive solar panels or higher performing semiconductors. But, for firms that need to pick one technology among several candidates, such as... View Details

Keywords: Learning Curve; Technology; Innovation; Batteries; Energy Storage; Sequential Decision Making; TELCO; Exploration; Exploitation; Problems and Challenges; Cost vs Benefits; Technology Adoption; Battery Industry

September 1989
Background Note

Introduction to Decision Making

By: Francis Aguilar

Describes the process of decision making (establish objectives, generate alternatives, and so on) emphasizing the human side of it (using rules of thumb, favoring one's own pet projects) yet demonstrating the role an analytic/quantitative contribution has to make. View Details

Keywords: Decision Making; Goals and Objectives; Mathematical Methods; Perspective

September 2020 (Revised July 2022)
Exercise

Artea (D): Discrimination through Algorithmic Bias in Targeting

By: Eva Ascarza and Ayelet Israeli

This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details

Keywords: Targeted Advertising; Discrimination; Algorithmic Data; Bias; Advertising; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

2025
Working Paper

Algorithmic Assortment Curation: An Empirical Study of Buybox in Online Marketplaces

By: Santiago Gallino, Nil Karacaoglu and Antonio Moreno

Most online sales worldwide take place in marketplaces that connect sellers and buyers. The presence of numerous third-party sellers leads to a proliferation of listings for each product, making it difficult for customers to choose between the available options. Online... View Details

Keywords: Algorithms; E-commerce; Sales; Digital Marketing; Internet and the Web; Customer Satisfaction

Video

Informed Decision Making Exercise

October 2003 (Revised January 2005)
Case

Shared Decision Making

By: Richard M.J. Bohmer, Karen Sepucha and Laura Feldman

The Foundation for Informed Medical Decision-Making has created an interactive videodisc system that provides patients with customized support regarding medical treatment or screening decisions when they face a choice between two equally effective courses of action.... View Details

Keywords: Decision Choices and Conditions; Borrowing and Debt; Health Care and Treatment; Innovation Strategy; Technological Innovation; Product Marketing; Distribution Channels; Production; Partners and Partnerships; Research and Development; Information Technology

Research Summary

Optimal Decision Making Under Uncertainty

Inventory control problems in supply chains. In this stream of theoretical research, Professor Goh has investigated how inventory should be optimally managed in supply chains. Specifically, he has studied how supply chains can make decisions to operate... View Details

2013
Book

Sidetracked: Why Our Decisions Get Derailed and How We Can Stick to the Plan

By: Francesca Gino

You may not realize it but simple, irrelevant factors can have profound consequences on your decisions and behavior, often diverting you from your original plans and desires. Sidetracked will help you identify and avoid these influences so the decisions you make do... View Details

Keywords: Decision Making; Decision-making; Judgment; Decisions; Strategy; Behavior; Ethics; Attitudes

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