Publications

06 Dec 2011
First Look

First Look: Dec. 6

PublicationsFlying Without a Net: Turn Fear of Change into Fuel for Success Author:Thomas J. DeLong Publication:Harvard Business Review Press, 2011 Abstract Confronted by omnipresent threats of job loss and change, even the brightest... View Details

Keywords: Sean Silverthorne

2013
Working Paper

Entrepreneurs, Firms and Global Wealth since 1850

By: G. Jones

This working paper integrates the role of entrepreneurship and firms into debates on why Asia, Latin America and Africa were slow to catch up with the West following the Industrial Revolution and the advent of modern economic growth. It argues that the currently... View Details

SSRN

September–October 2024
Article

How AI Can Power Brand Management

By: Julian De Freitas and Elie Ofek

Marketers have begun experimenting with AI to improve their brand-management efforts. But unlike other marketing tasks, brand management involves more than just repeatedly executing one specialized function. Long considered the exclusive domain of creative talent, it... View Details

Keywords: Creativity; AI and Machine Learning; Brands and Branding; Product Positioning; Customer Focus and Relationships

2024
Working Paper

Navigating Software Vulnerabilities: Eighteen Years of Evidence from Medium and Large U.S. Organizations

By: Raviv Murciano-Goroff, Ran Zhuo and Shane Greenstein

How prevalent are severe software vulnerabilities, how fast do software users respond to the availability of secure versions, and what determines the variance in the installation distribution? Using the largest dataset ever assembled on user updates, tracking server... View Details

Keywords: Cybersecurity; Applications and Software; Technology Adoption; Consumer Behavior

Find at Harvard

2013
Book

Constructing Green: The Social Structures of Sustainability

By: Rebecca Henn and Andrew J. Hoffman

Buildings are the nation's greatest energy consumers. Forty percent of all our energy is used for heating, cooling, lighting, and powering machines and devices in buildings. And despite decades of investment in green construction technologies, residential and... View Details

Keywords: Environmental Sustainability; Green Technology; Green Building; Transition; Social Issues

Find at Harvard

September 2021
Article

Perceptions on Undertaking Regular Asymptomatic Self-testing for COVID-19 Using Lateral Flow Tests: A Qualitative Study of University Students and Staff

By: Marta Wanat, Mary Logan, Jennifer A. Hirst, Charles Vicary, Joseph J. Lee, Rafael Perera, Irene Tracey, Gordon Duff, Peter Tufano, Thomas Fanshawe, Lazaro Mwandigha, Brian D. Nicholson, Sarah Tonkin-Crine and Richard Hobbs

Objectives: Successful implementation of asymptomatic testing programmes using lateral flow tests (LFTs) depends on several factors, including feasibility, acceptability and how people act on test results. We aimed to examine experiences of university students... View Details

Keywords: COVID-19; Self-testing; Health Pandemics; Health Testing and Trials; Behavior

22 Apr 2025
HBS Seminar

Kaitlin Woolley, Cornell University

08 Feb 2017
HBS Seminar

Andrew Mao, Microsoft Research

Web

Popular - HBS Working Knowledge

Popular Editors' Picks Recommendations from our editors 26 Jul 2023 Research & Ideas STEM Needs More Women. Recruiters Often Keep Them Out by Rachel Layne 13 Jun 2022 Research & Ideas Extroverts, Your Colleagues Wish You Would Just Shut... View Details

2010
Working Paper

The Architecture of Complex Systems: Do Core-periphery Structures Dominate?

By: Alan MacCormack, Carliss Y. Baldwin and John Rusnak

Any complex technological system can be decomposed into a number of subsystems and associated components, some of which are core to system function while others are only peripheral. The dynamics of how such "core-periphery" structures evolve and become embedded in a... View Details

Keywords: Innovation and Management; Product Design; Practice; Core Relationships; Software; Information Technology Industry

2025
Working Paper

Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers

By: Matthew DosSantos DiSorbo, Kris Ferreira, Maya Balakrishnan and Jordan Tong

Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). How can humans and algorithms work together to make... View Details

Keywords: AI and Machine Learning; Decision Choices and Conditions

August 2020
Case

This Old House of Worship: St. Anthony Shrine (A)

By: Ryan Raffaelli

This multimedia case asks students to consider how leaders of non-profit organizations manage difficult financial, operational, and cultural turnarounds. Since its founding in 1947, St. Anthony Shrine had been a central partner in serving the Downtown Boston community.... View Details

Keywords: Leadership And Change Management; Turnarounds; Non-profit Management; Leadership; Change Management; Nonprofit Organizations; Management; Religion; Mission and Purpose; Transformation; Organizational Culture; United States

Educators

July 2018 (Revised August 2018)
Case

Rocky Mountain Condiments: Close Encounters with the Legal System for the First Time

By: Lena G. Goldberg

The founder of a Colorado start-up focused on developing a line of condiments confronts a host of legal issues that threaten the viability of her young enterprise. She is suing a co-packer for, among other things, breach of contract, theft of recipes and trade secrets,... View Details

Keywords: Law And Regulation; Start-ups; Founders' Agreements; Cross-Border Jurisdiction; Torts; Consumer Protection; Non-disclosure Agreements; Intellectual Property Protection; Fraud; Legal Remedies; Law; Lawsuits and Litigation; Laws and Statutes; Business Startups; Contracts; Intellectual Property; Food and Beverage Industry

Educators

October–December 2022
Article

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius

Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details

Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction

Find at Harvard

Register to Read

1. Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). How can humans and algorithms work together to... View Details

David A. Thomas

David Thomas is H. Naylor Fitzhugh Professor of Business Administration at Harvard Business School. His research addresses issues related to executive development, cultural diversity in organizations, leadership and organizational change. He recently served as a... View Details

Keywords: biotechnology; consulting; consumer products; education industry; financial services; media

September 2014 (Revised February 2017)
Case

Belk: Towards Exceptional Scheduling

By: Ethan Bernstein, Saravanan Kesavan, Bradley Staats and Luke Hassall

With 24,000 staff and over 300 stores, Belk Inc. sought to replace its entirely manual labor scheduling system with an automated software solution from Reflexis. Belk hoped the upgrade would simplify scheduling, reduce time employees spent in non-customer-facing roles,... View Details

Educators