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  • All HBS Web  (1,925)
    • News  (300)
    • Research  (1,292)
    • Events  (27)
    • Multimedia  (11)
  • Faculty Publications  (772)
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  • September 2020 (Revised June 2023)
  • Supplement

Spreadsheet Supplement to Artea Teaching Note

By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to Artea Teaching Note 521-041. 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... View Details
Keywords: Targeted Advertising; Algorithmic Data; Bias; Advertising; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
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Ascarza, Eva, and Ayelet Israeli. "Spreadsheet Supplement to Artea Teaching Note." Harvard Business School Spreadsheet Supplement 521-705, September 2020. (Revised June 2023.)
  • November 2021 (Revised December 2021)
  • Supplement

PittaRosso (B): Human and Machine Learning

By: Ayelet Israeli
This case supplements the "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion" case, and provides major highlights on what happened at the company since the first case. View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
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Israeli, Ayelet. "PittaRosso (B): Human and Machine Learning." Harvard Business School Supplement 522-047, November 2021. (Revised December 2021.)
  • February 2006
  • Article

Do Stronger Intellectual Property Rights Increase International Technology Transfer? Empirical Evidence from U.S. Firm-Level Panel Data

By: Lee G. Branstetter, Raymond Fisman and C. Fritz Foley
Keywords: Intellectual Property; Rights; Information Technology; Information; Analytics and Data Science; United States
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Branstetter, Lee G., Raymond Fisman, and C. Fritz Foley. "Do Stronger Intellectual Property Rights Increase International Technology Transfer? Empirical Evidence from U.S. Firm-Level Panel Data." Quarterly Journal of Economics 121, no. 1 (February 2006): 321–349.
  • 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... View Details
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
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Kerr, William R., and Gorick Ng. "Talent Management and the Future of Work." Harvard Business School Technical Note 820-084, February 2020.
  • 2019
  • Book

Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity

By: Karen G. Mills
Fintech, Small Business & the American Dream describes the needs of small businesses for capital and demonstrates how technology—novel data sources, artificial intelligence, machine learning—will transform the small business lending market. This market has been... View Details
Keywords: Fintech; Big Data; Data; Technology; Artificial Intelligence; Great Recession; Regulation; Innovation; Banks; Lending; Loans; Access To Capital; American Dream; Community Banking; Small Business Administration; Entrepreneur; Government; Public Policy; API; Policy Making; Small Business; Financing and Loans; Technological Innovation; Financial Crisis; Banks and Banking; Governing Rules, Regulations, and Reforms; Policy; AI and Machine Learning; Analytics and Data Science; United States
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Mills, Karen G. Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity. Palgrave Macmillan, 2019.
  • July 2023 (Revised July 2023)
  • Background Note

Generative AI Value Chain

By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
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Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
  • 19 May 2021
  • Op-Ed

Why America Needs a Better Bridge Between School and Career

impact While many of these challenges are not new, the data strengthens the case for action. Indeed, the crisis has renewed pressure on the US to develop new models and expand existing pathways that can open... View Details
Keywords: by Joseph B. Fuller and Rachel Lipson
  • February 2014
  • Case

BGI: Data-driven Research

By: Willy Shih and Sen Chai
BGI has the largest installed gene-sequencing capacity in the world, and to Zhang Gengyun, general manager of the Life Sciences Division, this represented an opportunity to apply his training as a plant breeder and his early career work as a biochemist to improving... View Details
Keywords: Genomics; Gene Sequencing; Life Sciences; Plant Breeding; Human Genome Program; Beijing Genomics Institute; BGI; Rice Genome; Technological Innovation; Innovation Strategy; Research; Research and Development; Science; Genetics; Science-Based Business; Strategy; Commercialization; Corporate Strategy; Information Technology; Applications and Software; Agriculture and Agribusiness Industry; Agriculture and Agribusiness Industry; Agriculture and Agribusiness Industry; China; United States
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Shih, Willy, and Sen Chai. "BGI: Data-driven Research." Harvard Business School Case 614-056, February 2014.
  • 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; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
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Ascarza, Eva, and Ayelet Israeli. "Artea (D): Discrimination through Algorithmic Bias in Targeting." Harvard Business School Exercise 521-043, September 2020. (Revised July 2022.)
  • February 2014 (Revised June 2014)
  • Background Note

The Information Superhighway Meets the Highway: Technology and Mobility Trends and Opportunities

By: Rosabeth Moss Kanter and Kevin Rosier
Technological innovation is considered a competitive strength for America, but the nation does not score as high in deploying its technology. U.S. transportation systems are in need of repair and renewal, and the sector is at the cusp of a technological revolution. The... View Details
Keywords: Technology; Information Technology; Infrastructure; Transportation; Information Infrastructure
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Kanter, Rosabeth Moss, and Kevin Rosier. "The Information Superhighway Meets the Highway: Technology and Mobility Trends and Opportunities." Harvard Business School Background Note 314-093, February 2014. (Revised June 2014.)
  • 08 Oct 2014
  • HBS Seminar

Hilary Mason, Fast Forward Labs and Accel Partners

  • September 2022 (Revised November 2022)
  • Teaching Note

PittaRosso: Artificial Intelligence-Driven Pricing and Promotion

By: Ayelet Israeli
Teaching Note for HBS Case No. 522-046. View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
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Israeli, Ayelet. "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Teaching Note 523-020, September 2022. (Revised November 2022.)
  • January 2014 (Revised December 2014)
  • Case

GenapSys: Business Models for the Genome

By: Richard G. Hamermesh, Joseph B. Fuller and Matthew Preble

GenapSys, a California-based startup, was soon to release a new DNA sequencer that the company's founder, Hesaam Esfandyarpour, believed was truly revolutionary. The sequencer would be substantially less expensive—potentially costing just a few thousand dollars—and... View Details

Keywords: DNA Sequencing; Life Sciences; Business Model; Innovation & Entrepreneurship; Health Care and Treatment; Genetics; Business Strategy; Medical Devices and Supplies Industry; Medical Devices and Supplies Industry; Medical Devices and Supplies Industry; Medical Devices and Supplies Industry; Medical Devices and Supplies Industry; United States
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Hamermesh, Richard G., Joseph B. Fuller, and Matthew Preble. "GenapSys: Business Models for the Genome." Harvard Business School Case 814-050, January 2014. (Revised December 2014.)
  • March 2019 (Revised July 2020)
  • Case

MoviePass: The 'Get Big Fast' Strategy

By: Benjamin C. Esty and Daniel W. Fisher
In August 2017, MoviePass dramatically lowered its subscription price from $50 per month to just $10 for up to one movie per day. The idea was to rapidly scale the business to the point where they could generate incremental revenue streams from related businesses... View Details
Keywords: Market Entry; Growth Strategy; Profit Vs. Growth; Subscription Business; Cash Burn; Data Analytics; Get-big-fast; Buyer Power; Strategy Implementation; Movie Industry; Racing; Entrepreneurship; Market Entry and Exit; Growth and Development Strategy; Business Strategy; Value Creation; Disruption; Motion Pictures and Video Industry; United States
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Esty, Benjamin C., and Daniel W. Fisher. "MoviePass: The 'Get Big Fast' Strategy." Harvard Business School Case 719-455, March 2019. (Revised July 2020.)
  • Research Summary

Overview

By: Kris Johnson Ferreira
Professor Ferreira's research primarily focuses on how retailers can use algorithms to make better revenue management decisions, including pricing, product display, and assortment planning. In the retail industry, anticipating consumer demand is arguably one of the... View Details
Keywords: E-commerce; Analytics; Revenue Management; Pricing; Assortment Planning; Field Experiments; Operations; Supply Chain; Supply Chain Management; Retail Industry
  • July 16, 2015
  • Article

How Small Businesses Can Fend Off Hackers

By: Lou Shipley
If you wanted to hack a business, which one would you pick: A Fortune 500 company with a large digital-security budget and a team dedicated to protecting its cyberassets? Or a small enterprise that doesn’t employ a single IT security specialist? Security breaches at... View Details
Keywords: Hack; Data Security; Small Business; Analytics and Data Science; Safety; Information Technology; Cybersecurity
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Shipley, Lou. "How Small Businesses Can Fend Off Hackers." Wall Street Journal (July 16, 2015).
  • March 2019
  • Case

HOPI: Turkey's Shopping Companion

By: Sunil Gupta, Donald Ngwe and Gamze Yucaoglu
The case opens in 2017 as Onur Erbay, CEO of HOPI, a multi-vendor loyalty platform, is contemplating a critical decision. The case chronicles the origins of Boyner Group, the parent company of HOPI and a major retailer in Turkey, and development of retail and customer... View Details
Keywords: Loyalty Programs; Multi-vendor Platform; Retail; Big Data; Customer Relationship Management; Mobile and Wireless Technology; Business Model; Analytics and Data Science; Competitive Strategy; Decision Making; Applications and Software; Digital Platforms; Technology Industry; Retail Industry; Turkey
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Gupta, Sunil, Donald Ngwe, and Gamze Yucaoglu. "HOPI: Turkey's Shopping Companion." Harvard Business School Case 519-057, March 2019.
  • 14 Mar 2023
  • Cold Call Podcast

Can AI and Machine Learning Help Park Rangers Prevent Poaching?

Keywords: Re: Brian L. Trelstad; Computer; Information Technology; Technology
  • 07 Dec 1999
  • Research & Ideas

Henry Heinz and Brand Creation in the Late Nineteenth Century

science of nutrition began to develop in the 1890s; the presence of vitamins in food and the relationship between diet and disease are twentieth-century discoveries. But as he... View Details
Keywords: by Nancy F. Koehn
  • 24 Jul 2019
  • Blog Post

Data-Driven and in Demand

her own hands to break the technological glass ceiling. She decided to invest in external courses—specifically, the Data Science program at General Assembly—to bolster her data... View Details
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