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Show Results For
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All HBS Web
(591)
- News (89)
- Research (409)
- Events (2)
- Multimedia (1)
- Faculty Publications (86)
- May 2018 (Revised February 2019)
- Case
The Powers That Be (Internet Edition): Google, Apple, Facebook, Amazon, and Microsoft
By: Jeffrey F. Rayport, Julia Kelley and Nathaniel Schwalb
As of early 2018, five U.S. technology companies—Google, Apple, Facebook, Amazon, and Microsoft—were among the largest companies in the world. Similarly, three Chinese technology firms—Baidu, Alibaba, and Tencent, or BAT—had emerged as global players due in part to the...
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Keywords:
Internet and the Web;
Business Ventures;
Customers;
Analytics and Data Science;
Safety;
Corporate Strategy;
Competitive Strategy;
Technology Industry
Rayport, Jeffrey F., Julia Kelley, and Nathaniel Schwalb. "The Powers That Be (Internet Edition): Google, Apple, Facebook, Amazon, and Microsoft." Harvard Business School Case 818-111, May 2018. (Revised February 2019.)
- 21 Apr 2023
- Research & Ideas
The $15 Billion Question: Have Loot Boxes Turned Video Gaming into Gambling?
and Andrey Simonov, associate professor at Columbia Business School, analyzes the loot box business using data from millions of players. Loot boxes generate $15 billion a year revenue for gaming companies. But 90 percent of that money...
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Seth Neel
Seth Neel is an Assistant Professor housed in the Department of Technology and Operations Management (TOM). He is Principal Investigator of the Trustworthy AI Lab in Harvard's new D^3 Institute, a faculty member of the View Details
- December 2009
- Article
Who Owns Metrics?: Building a Bill of Rights for Online Advertisers
By: Benjamin Edelman
I offer five rights to protect advertisers from increasingly powerful ad networks-avoiding fraudulent charges for services not rendered, guaranteeing data portability so advertisers get the best possible value, and assuring price transparency so advertisers know what...
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Keywords:
Online Advertising;
Crime and Corruption;
Price;
Measurement and Metrics;
Technology Networks;
Value;
Advertising Industry
Edelman, Benjamin. "Who Owns Metrics?: Building a Bill of Rights for Online Advertisers." Journal of Advertising Research 49, no. 4 (December 2009). (Adapted from Towards a Bill of Rights for Online Advertisers.)
- 18 Jan 2022
- Research & Ideas
How Eliminating Non-Competes Could Reshape Tech
states doing nothing, even when research shows non-competes might impair innovation?" Second, larger technology firms may have another reason to consolidate. Technology firms use non-competes to protect intellectual property. If employees...
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- June 2013
- Article
What Is Privacy Worth?
By: Alessandro Acquisti, Leslie K. John and George Loewenstein
Understanding the value that individuals assign to the protection of their personal data is of great importance for business, law, and public policy. We use a field experiment informed by behavioral economics and decision research to investigate individual privacy...
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Acquisti, Alessandro, Leslie K. John, and George Loewenstein. "What Is Privacy Worth?" Journal of Legal Studies 42, no. 2 (June 2013): 249–274.
Dominic Russel
Dominic Russel is a doctoral student in the Business Economics program. His current research interests are in financial economics, public economics, and the economics of social networks. He has previously worked as a financial analyst at the Consumer Financial...
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- October 2022 (Revised December 2022)
- Case
SMART: AI and Machine Learning for Wildlife Conservation
By: Brian Trelstad and Bonnie Yining Cao
Spatial Monitoring and Reporting Tool (SMART), a set of software and analytical tools designed for the purpose of wildlife conservation, had demonstrated significant improvements in patrol coverage, with some observed reductions in poaching and contributing to wildlife...
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Keywords:
Business and Government Relations;
Emerging Markets;
Technology Adoption;
Strategy;
Management;
Ethics;
Social Enterprise;
AI and Machine Learning;
Analytics and Data Science;
Natural Environment;
Technology Industry;
Cambodia;
United States;
Africa
Trelstad, Brian, and Bonnie Yining Cao. "SMART: AI and Machine Learning for Wildlife Conservation." Harvard Business School Case 323-036, October 2022. (Revised December 2022.)
Eliminating unintended bias in personalized policies using Bias Eliminating Adapted Trees (BEAT) - PNAS
An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those... View Details
- December 1994
- Case
CNW Corporation
The Blackstone Group, an LBO firm, is considering a $1.7 billion leveraged acquisition of CNW Corp., a railroad holding company. Information is provided concerning historic and protected results and the proposed financial structure of the entity. Data is presented...
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Fenster, Steven R. "CNW Corporation." Harvard Business School Case 295-077, December 1994.
- 2023
- Working Paper
Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach
By: Ta-Wei Huang and Eva Ascarza
Data-driven targeted interventions have become a powerful tool for organizations to optimize business outcomes
by utilizing individual-level data from experiments. A key element of this process is the estimation
of Conditional Average Treatment Effects (CATE), which...
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Huang, Ta-Wei, and Eva Ascarza. "Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach." Harvard Business School Working Paper, No. 24-034, December 2023.
- Article
Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)
By: Eva Ascarza and Ayelet Israeli
An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details
Keywords:
Algorithm Bias;
Personalization;
Targeting;
Generalized Random Forests (GRF);
Discrimination;
Customization and Personalization;
Decision Making;
Fairness;
Mathematical Methods
Ascarza, Eva, and Ayelet Israeli. "Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)." e2115126119. Proceedings of the National Academy of Sciences 119, no. 11 (March 8, 2022).
- 2017
- Article
Refugees Misdirected: How Information, Misinformation and Rumors Shape Refugees’ Access to Fundamental Rights
By: Melissa Carlson, Laura Jakli and Katerina Linos
The global refugee regime represents one of the few generous commitments governments offer to outsiders. Indeed, few persons fleeing armed conflict actually claim international protection upon first arriving in Europe, even though the benefits of legal protection are...
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Carlson, Melissa, Laura Jakli, and Katerina Linos. "Refugees Misdirected: How Information, Misinformation and Rumors Shape Refugees’ Access to Fundamental Rights." Virginia Journal of International Law 57, no. 3 (2017): 539–574.
- August 2022
- Article
The Bulletproof Glass Effect: Unintended Consequences of Privacy Notices
By: Aaron R. Brough, David A. Norton, Shannon L. Sciarappa and Leslie K. John
Drawing from a content analysis of publicly traded companies’ privacy notices, a survey of managers, a field study, and five online experiments, this research investigates how consumers respond to privacy notices. A privacy notice, by placing legally enforceable limits...
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Keywords:
Choice;
Purchase Intent;
Privacy;
Privacy Notices;
Warnings;
Assurances;
Information Disclosure;
Trust;
Consumer Behavior;
Spending;
Decisions;
Information;
Communication
Brough, Aaron R., David A. Norton, Shannon L. Sciarappa, and Leslie K. John. "The Bulletproof Glass Effect: Unintended Consequences of Privacy Notices." Journal of Marketing Research (JMR) 59, no. 4 (August 2022): 739–754.
- 13 May 2019
- Working Paper Summaries
The Changing Landscape of Auditor Litigation and Its Implications for Audit Quality
- 23 Oct 2013
- News
How Far Is Too Far in Selling Customer Data?
- 07 Mar 2013
- HBS Seminar
Mike Toffel, Harvard Business School
- 14 Mar 2023
- Cold Call Podcast
Can AI and Machine Learning Help Park Rangers Prevent Poaching?
- 2022
- Working Paper
Addressing Vaccine Hesitancy: Experimental Evidence from Nine Countries during the COVID-19 Pandemic
By: Vincenzo Galasso, Vincent Pons, Paola Profeta, Michael Becher, Sylvain Brouard and Martial Foucault
Millions of people refuse COVID-19 vaccination. Using original data from two surveys in nine OECD countries, we analyze the determinants of anti-vax intentions in December 2020 and show that half of the anti-vax individuals were vaccinated by summer 2021. Vaccinations...
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Keywords:
COVID-19;
Vaccination;
Vaccine Hesitancy;
Information Campaigns;
Health Pandemics;
Behavior;
Information
Galasso, Vincenzo, Vincent Pons, Paola Profeta, Michael Becher, Sylvain Brouard, and Martial Foucault. "Addressing Vaccine Hesitancy: Experimental Evidence from Nine Countries during the COVID-19 Pandemic." NBER Working Paper Series, No. 29741, February 2022.
- February 2020
- Technical Note
Talent Management and the Future of Work
By: William R. Kerr and Gorick Ng
The nature of work is changing—and it is changing rapidly. Few days go by without industry giants such as Amazon and AT&T announcing plans to invest billions of dollars towards retraining nearly half of their respective workforces for jobs of the future. What changes...
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Keywords:
Human Resource Management;
Human Capital Development;
Human Resource Practices;
Talent;
Talent Acquisition;
Talent Development;
Talent Development And Retention;
Talent Management;
Talent Retention;
Labor Flows;
Labor Management;
Labor Market;
Strategy Development;
Strategy Management;
Strategy Execution;
Strategy And Execution;
Strategic Change;
Transformations;
Organization;
Organization Alignment;
Organization Design;
Organizational Adaptation;
Organizational Effectiveness;
Management Challenges;
Management Of Business And Political Risk;
Change Leadership;
Future Of Work;
Future;
Skills Gap;
Skills Development;
Skills;
Offshoring And Outsourcing;
Investment;
Capital Allocation;
Work;
Work Culture;
Work Force Management;
Work/life Balance;
Work/family Balance;
Work-family Boundary Management;
Workers;
Worker Productivity;
Worker Performance;
Work Engagement;
Work Environment;
Work Environments;
Productivity;
Organization Culture;
Soft Skills;
Technology Management;
Technological Change;
Technological Change: Choices And Consequences;
Technology Diffusion;
Disruptive Technology;
Global Business;
Global;
Workplace;
Workplace Context;
Workplace Culture;
Workplace Wellness;
Collaboration;
Competencies;
Productivity Gains;
Digital;
Digital Transition;
Competitive Dynamics;
Competitiveness;
Competitive Strategy;
Data Analytics;
Data;
Data Management;
Data Strategy;
Data Protection;
Aging Society;
Diversity;
Diversity Management;
Millennials;
Communication Complexity;
Communication Technologies;
International Business;
Work Sharing;
Global Competitiveness;
Global Corporate Cultures;
Intellectual Property;
Intellectual Property Management;
Intellectual Property Protection;
Intellectual Capital And Property Issues;
Globalization Of Supply Chain;
Inequality;
Recruiting;
Hiring;
Hiring Of Employees;
Training;
Job Cuts And Outsourcing;
Job Performance;
Job Search;
Job Design;
Job Satisfaction;
Jobs;
Employee Engagement;
Employee Attitude;
Employee Benefits;
Employee Compensation;
Employee Fairness;
Employee Relationship Management;
Employee Retention;
Employee Selection;
Employee Motivation;
Employee Feedback;
Employee Coordination;
Employee Performance Management;
Employee Socialization;
Process Improvement;
Application Performance Management;
Stigma;
Institutional Change;
Candidates;
Digital Enterprise;
Cultural Adaptation;
Cultural Change;
Cultural Diversity;
Cultural Context;
Cultural Strategies;
Cultural Psychology;
Cultural Reform;
Performance;
Performance Effectiveness;
Performance Management;
Performance Evaluation;
Performance Appraisal;
Performance Feedback;
Performance Measurement;
Performance Metrics;
Performance Measures;
Performance Efficiency;
Efficiency;
Performance Analysis;
Performance Appraisals;
Performance Improvement;
Automation;
Artificial Intelligence;
Technology Companies;
Managerial Processes;
Skilled Migration;
Assessment;
Human Resources;
Management;
Human Capital;
Talent and Talent Management;
Retention;
Demographics;
Labor;
Strategy;
Change;
Change Management;
Transformation;
Organizational Change and Adaptation;
Organizational Culture;
Working Conditions;
Information Technology;
Technology Adoption;
Disruption;
Economy;
Competition;
Globalization;
AI and Machine Learning;
Digital Transformation
Kerr, William R., and Gorick Ng. "Talent Management and the Future of Work." Harvard Business School Technical Note 820-084, February 2020.