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  • June 2016
  • Article

Task Segregation as a Mechanism for Within-Job Inequality: Women and Men of the Transportation Security Administration

By: Curtis K. Chan and Michel Anteby
What could explain inequality within a given job between groups of workers, particularly between women and men? Extant workplace inequality scholarship has largely overlooked as a source for inequality the job’s work content—the actual tasks workers perform. It is... View Details
Keywords: Inequality; Work; Mechanisms And Processes; Stratification; Labor Process; Qualitative Methods (General); Case Method; Field Research; Equality and Inequality; Working Conditions; Gender; Labor; Labor and Management Relations; Air Transportation Industry
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  • February 2025
  • Article

Disclosure, Humanizing, and Contextual Vulnerability of Generative AI Chatbots

By: Julian De Freitas and I. Glenn Cohen
In the wake of recent advancements in generative AI, regulatory bodies are trying to keep pace. One key decision is whether to require app makers to disclose the use of generative AI-powered chatbots in their products. We suggest that some generative AI-based chatbots... View Details
Keywords: AI and Machine Learning; Governing Rules, Regulations, and Reforms; Applications and Software; Well-being
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  • 06 Dec 2021
  • News

Digitalization: The Key to the Future of HBS

“In the century ahead, our capabilities in digital are going to be critical for all aspects of what the School does.” —Professor Karim Lakhani Digital Task Force Chair “In the century ahead, our capabilities in digital are going to be... View Details
Keywords: April White
  • Research Summary

Multinational Firms, Labor Market Discrimination, and the Capture of Competitive Advantage by Exploiting the Social Divide

The organizational theory of the multinational firms holds that foreignness is a liability, and specifically that lack of embeddedness in host-country social networks is a source of competitive disadvantage; meanwhile the literature on labor market discrimination... View Details
Keywords: Multinational Firm; Multinationals; Labor Market Discrimination
  • 09 Oct 2008
  • Working Paper Summaries

Dirty Work, Clean Hands: The Moral Psychology of Indirect Agency

Keywords: by Neeru Paharia, Karim S. Kassam, Joshua D. Greene & Max H. Bazerman
  • 01 Mar 2011
  • Working Paper Summaries

How Foundations Think: The Ford Foundation as a Dominating Institution in the Field of American Business Schools

Keywords: by Rakesh Khurana, Kenneth Kimura & Marion Fourcad; Education
  • Teaching Interest

Overview

Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption
  • 01 Nov 1999
  • Research & Ideas

John H. Patterson and the Sales Strategy of the National Cash Register Company, 1884 to 1922

described the register for the first time and explained how it would prevent theft and give an accurate account of the day's receipts. The goal of this stage was to schedule a demonstration View Details
Keywords: by Walter A. Friedman
  • March 10, 2025
  • Article

How Gen AI Could Change the Value of Expertise

By: Joseph Fuller, Matt Sigelman and Michael Fenlon
In the near future, gen AI is likely to affect some 50 million jobs, automating away elements of some jobs and augmenting workers’ abilities in others. The extent of those changes will compel companies to reshape their organizational structures and rethink their talent... View Details
Keywords: AI and Machine Learning; Job Cuts and Outsourcing; Organizational Structure; Talent and Talent Management; Personal Development and Career
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  • January–February 2023
  • Article

Forecasting COVID-19 and Analyzing the Effect of Government Interventions

By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more... View Details
Keywords: COVID-19 Pandemic; Epidemics; Analytics and Data Science; Health Pandemics; AI and Machine Learning; Forecasting and Prediction
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  • Research Summary

Bringing Individuals Back In: The Effects of Career Experience on New Firm Founding (forthcoming Industrial and Corporate Change, 2003)

By: Rakesh Khurana
In this paper (with Scott Shane) the link between the career experiences of potential entrepreneurs and the decision to found a new firm is explored. Because of methodological and theoretical obstacles, sociological research on organizational foundings has largely... View Details
  • 2020
  • Working Paper

Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 7 The Value Structure of Technologies, Part 2: Strategy without Numbers

By: Carliss Y. Baldwin
Functional analysis as set forth in the last chapter decomposes a technical system into functional components that do things to advance the system’s purpose and the goals of its designers. Functional analysis in turn can be used to construct value structure maps... View Details
Keywords: Modularity; Value Structure Mapping; Value Capture; Information Technology; Organizations; Strategy; Value Creation
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  • 01 Oct 1996
  • News

"Service-Profit Chain" Links Members of Service Management Unit

the newest member of the Service Management unit, joined the faculty last year. In research that covers human resources and operations management, she has studied the impact of processes on organizations.... View Details
Keywords: Susan Young
  • 15 Nov 2007
  • Working Paper Summaries

The Dynamic Interplay of Inequality and Trust: An Experimental Study

Keywords: by Ben Greiner, Axel Ockenfels & Peter Werner
  • 16 Dec 2011
  • Research & Ideas

Reintroducing Intellectual Ambition to the Study of Business History

Their theories provide a more powerful set of tools for examining the history of entrepreneurship than any that were available to the pioneering business historians in the... View Details
Keywords: by Geoffrey Jones & Walter Friedman
  • 09 Jul 2009
  • Working Paper Summaries

Performance Pressure as a Double-Edged Sword: Enhancing Team Motivation While Undermining the Use of Team Knowledge

Keywords: by Heidi K. Gardner
  • 12 Jan 2004
  • What Do You Think?

How Should We Think About the Exportation of Jobs?

this impact: the broad, shallow, positive impact on product prices versus the narrow, deep, negative impact on individuals." These quotes help sum up the nature of the thought-provoking debate stirred by this month's column. On the... View Details
Keywords: by James Heskett
  • 2024
  • Conference Paper

Quantifying Uncertainty in Natural Language Explanations of Large Language Models

By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal
Large Language Models (LLMs) are increasingly used as powerful tools for several high-stakes natural language processing (NLP) applications. Recent prompting works claim to elicit intermediate reasoning steps and key tokens that serve as proxy explanations for LLM... View Details
Keywords: Large Language Model; AI and Machine Learning
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  • 31 Oct 2004
  • What Do You Think?

Should the Wisdom of Crowds Influence Our Thinking About Leadership?

Summing Up Whether or not this month's respondents represent a self-selected sample of enthusiasts for the book, The Wisdom of Crowds, they agree that the findings it presents have strong implications for... View Details
Keywords: by James Heskett
  • Web

Research Links - The Art of American Advertising

has a remarkably rich and diversified collection of trade catalogs covering a wide array of subject areas, including agriculture, textile manufacturing, hardware and machine... View Details