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Harvard Business Analytics Program: Operations and Supply Chain Management

By: Dennis Campbell

Digital technologies and data analytics are radically changing the operating model of an organization and how it connects to its broader supply chain and ecosystem. This course emphasizes managing product availability, especially in a context of rapid product... View Details

April–June 2022
Other Article

Commentary on 'Causal Decision Making and Causal Eﬀect Estimation Are Not the Same... and Why It Matters'

By: Edward McFowland III

There has been a substantial discussion in various methodological and applied literatures around causal inference; especially in the use of machine learning and statistical models to understand heterogeneity in treatment effects and to make optimal decision... View Details

Keywords: Causal Inference; Treatment Effect Estimation; Treatment Assignment Policy; Human-in-the-loop; Decision Making; Fairness

Find at Harvard

Tsedal Neeley

Tsedal Neeley is the Senior Associate Dean and Chair of the MBA program at Harvard Business School, where she is the Naylor Fitzhugh Professor of Business Administration, Faculty Chair of the... View Details

21 Sep 2023
HBS Seminar

Pinar Ozcan, Saïd Business School

Policy versus Practice: Conceptions of Artificial Intelligence

The recent growth of concern around issues such as social biases implicit in algorithms, economic impacts of artificial intelligence (AI), or potential existential threats posed... View Details

Elisabeth C. Paulson

Elisabeth Paulson is an Assistant Professor of Business Administration in the Technology and Operations Management Unit at Harvard Business School. She teaches the first year course on Technology and Operations Management in the required curriculum.
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Keywords: agriculture; federal government; state government; grocery; nonprofit industry

November 2015 (Revised May 2016)
Case

Aspiring Minds

By: Karim R. Lakhani, Marco Iansiti and Christine Snively

By 2015, India-based employment assessment and certification provider Aspiring Minds had helped facilitate over 300,000 job matches through its assessment tools. Aspiring Minds' flagship product, the Aspiring Minds Computer Adaptive Test (AMCAT), used machine learning... View Details

Keywords: Information Technology; Strategy; Higher Education; Technological Innovation; Employment; Technology Industry; India; China

April 2023 (Revised February 2024)
Case

AI Wars

By: Andy Wu, Matt Higgins, Miaomiao Zhang and Hang Jiang

In February 2024, the world was looking to Google to see what the search giant and long-time putative technical leader in artificial intelligence (AI) would do to compete in the massively hyped technology of generative AI. Over a year ago, OpenAI released ChatGPT, a... View Details

Keywords: AI; Artificial Intelligence; AI and Machine Learning; Technology Adoption; Competitive Strategy; Technological Innovation

September 2023 (Revised January 2024)
Case

AI21 Labs in 2023: Strategy for Generative AI

By: David Yoffie, Orna Dan and Elena Corsi

Israeli generative artificial intelligence company AI21 Labs was founded in 2017 to realize the vision of true machine intelligence. It sought to reinvent writing and reading and in 2020 it launched Wordtune, an app using GenAI software to offer alternate text... View Details

Keywords: Decision Making; AI and Machine Learning; Innovation Strategy; Growth and Development Strategy; Applications and Software; Competitive Strategy; Technology Industry; Israel

2021
Book

The Future of Executive Development

By: Mihnea C Moldoveanu and Das Narayandas

Executive development programs have entered a period of rapid transformation, driven by digital disruption and a widening gap between the skills that participants and their organizations demand and those provided by their executive programs. This work delves into the... View Details

Keywords: Executive Education; Leadership Development; Management Skills; Education Industry

2025
Working Paper

Race, Rental Yields, and Housing Decay in Manhattan

By: Tom Nicholas and Christophe Spaenjers

We develop a new dataset on real estate transactions in Manhattan (1912–1939), linked to federal Census records (1930 and 1940) and property images used for tax assessment purposes (around 1940 and 1980). We analyze investor returns and incentives to maintain... View Details

Keywords: Housing Markets; Rental Yields; Urban Decay; Manhattan; Race; Equality and Inequality; Investment Return; Motivation and Incentives; Real Estate Industry; New York (city, NY)

SSRN

Research Summary

Overview

By: Srikant M. Datar

Professor Datar has several research and course development interests. His initial areas of research interest were in cost management and management control, strategy implementation and governance. Over the last few years his areas of interest are management education,... View Details

Srikant M. Datar

Srikant M. Datar became the eleventh dean of Harvard Business School on 1 January 2021. During his tenure as a faculty member, he served as Senior Associate Dean for University Affairs (including Faculty Chair of the Harvard Innovation Lab), for Research, for... View Details

Keywords: accounting industry; airline; automobiles; banking; biotechnology; communications; consumer products; e-commerce industry; health care; high technology; investment banking industry; management consulting; manufacturing; pharmaceuticals; venture capital industry

January 2023 (Revised April 2023)
Case

Cobalt Robotics: Scaling Workplace Robotics

By: Jeffrey F. Rayport, Nicole Tempest Keller and Kyung Keun Park

Founded in 2016, Cobalt Robotics, based in Fremont, California, was a Robot-as-a-Service (RaaS) company that built autonomous workplace robots that were designed to replace or supplement human security guards. Outfitted with over 60 sensors, Cobalt robots patrolled... View Details

Keywords: Information Infrastructure; Disruptive Innovation; Innovation and Invention; Marketing Strategy; Marketing Channels; Customers; Technology Industry; United States; California

May 2024
Teaching Note

AI Wars

By: Andy Wu and Matt Higgins

Teaching Note for HBS Case No. 723-434. In 2024, the world was looking to Google to see what the search giant and long-time putative technical leader in artificial intelligence (AI) would do to compete in the massively hyped technology of generative AI popularized over... View Details

Keywords: AI; Trends; AI and Machine Learning; Public Opinion; Technological Innovation; Competitive Advantage; Technology Industry