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  • All HBS Web  (1,934)
    • News  (299)
    • Research  (1,298)
    • Events  (27)
    • Multimedia  (11)
  • Faculty Publications  (775)

Show Results For

  • All HBS Web  (1,934)
    • News  (299)
    • Research  (1,298)
    • Events  (27)
    • Multimedia  (11)
  • Faculty Publications  (775)
← Page 16 of 1,934 Results →
  • 27 Jun 2017
  • Blog Post

Why I Would Have Applied to the MS/MBA: Engineering Sciences Program

think the technical SEAS programming would have been a value add to your MBA? "I think the technical programming would have added huge value. Many of the methods in data science View Details
  • August 2018 (Revised October 2020)
  • Case

Tailor Brands: Artificial Intelligence-Driven Branding

By: Jill Avery
Using proprietary artificial intelligence technology, startup Tailor Brands set out to democratize branding by allowing small businesses to create their brand identities by automatically generating logos in just minutes at minimal cost with no branding or design skills... View Details
Keywords: Startup; Services; Artificial Intelligence; Machine Learning; Digital Marketing; Brand Management; Big Data; Internet Marketing; Analytics; Marketing; Marketing Strategy; Brands and Branding; Information Technology; Entrepreneurship; Venture Capital; Business Model; Consumer Behavior; AI and Machine Learning; Analytics and Data Science; Advertising Industry; Service Industry; Technology Industry; United States; North America; Israel
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Avery, Jill. "Tailor Brands: Artificial Intelligence-Driven Branding." Harvard Business School Case 519-017, August 2018. (Revised October 2020.)
  • August 2021
  • Article

Multiple Imputation Using Gaussian Copulas

By: F.M. Hollenbach, I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward and A. Volfovsky
Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this paper, we present a simple-to-use... View Details
Keywords: Missing Data; Bayesian Statistics; Imputation; Categorical Data; Estimation
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Hollenbach, F.M., I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward, and A. Volfovsky. "Multiple Imputation Using Gaussian Copulas." Special Issue on New Quantitative Approaches to Studying Social Inequality. Sociological Methods & Research 50, no. 3 (August 2021): 1259–1283. (0049124118799381.)
  • January 2016
  • Case

Acxiom

By: John Deighton
Acxiom built the market for personal data, yet sales have been flat for a decade during which marketing's appetite for data has exploded. Will the acquisition of a digital data onboarder LiveRamp give marketers what they want from a data broker? View Details
Keywords: Big Data; Direct Marketing; Personal Data; Privacy; Digital Marketing; Retargeting; Rights; Analytics and Data Science; Ethics; Marketing; United States
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Deighton, John. "Acxiom." Harvard Business School Case 516-037, January 2016.
  • 2020
  • Article

Public Sentiment and the Price of Corporate Sustainability

By: George Serafeim
Combining corporate sustainability performance scores based on environmental, social, and governance (ESG) data with big data measuring public sentiment about a company’s sustainability performance, I find that the valuation premium paid for companies with strong... View Details
Keywords: Sustainability; ESG; ESG (Environmental, Social, Governance) Performance; Investment Management; Investment Strategy; Big Data; Machine Learning; Environment; Environmental Sustainability; Corporate Governance; Performance; Asset Pricing; Investment; Management; Strategy; Human Capital; Public Opinion; Value; Analytics and Data Science
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Serafeim, George. "Public Sentiment and the Price of Corporate Sustainability." Financial Analysts Journal 76, no. 2 (2020): 26–46.
  • October 2021 (Revised June 2022)
  • Case

PittaRosso: Artificial Intelligence-Driven Pricing and Promotion

By: Ayelet Israeli
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... 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; AI; 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: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Case 522-046, October 2021. (Revised June 2022.)
  • Article

Big Other: Surveillance Capitalism and the Prospects of an Information Civilization

By: Shoshana Zuboff
This article describes an emergent logic of accumulation in the networked sphere, 'surveillance capitalism,' and considers its implications for 'information civilization.' The institutionalizing practices and operational assumptions of Google Inc. are the... View Details
Keywords: Surveillance Capitalism; Big Data; Google; Information Society; Privacy; Internet Of Everything; Rights; Economic Systems; Analytics and Data Science; Internet and the Web; Ethics
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Zuboff, Shoshana. "Big Other: Surveillance Capitalism and the Prospects of an Information Civilization." Journal of Information Technology 30, no. 1 (March 2015): 75–89.
  • October 2021 (Revised March 2022)
  • Supplement

PittaRosso: Artificial Intelligence-Driven Pricing and Promotion

By: Ayelet Israeli and Fabrizio Fantini
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... 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; Retail Industry; Italy
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Israeli, Ayelet, and Fabrizio Fantini. "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Spreadsheet Supplement 522-710, October 2021. (Revised March 2022.)
  • Article

Integration of Online and Offline Channels in Retail: The Impact of Sharing Reliable Inventory Availability Information

By: Santiago Gallino and Antonio Moreno
Using a proprietary data set, we analyze the impact of the implementation of a “buy-online, pick-up-in-store” (BOPS) project. The implementation of this project is associated with a reduction in online sales and an increase in store sales and traffic. These results can... View Details
Keywords: Retail Operations; Inventory Availability; Empirical Operations Management; Business Analytics; Online Retail; Ecommerce; Operations; Management; Distribution Channels; Consumer Behavior; E-commerce; Retail Industry
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Gallino, Santiago, and Antonio Moreno. "Integration of Online and Offline Channels in Retail: The Impact of Sharing Reliable Inventory Availability Information." Management Science 60, no. 6 (June 2014): 1434–1451. (Finalist of Management Science Best Paper award in Operations Management.)
  • 01 Sep 2017
  • News

@Soldiers Field

scuptures on loan to the School’s ongoing contemporary sculpture exhibition. The piece was inspired in part by an essay by Henry David Thoreau, who graduated from Harvard 180 summers ago. HBS will partner with Harvard’s SEAS and... View Details
Keywords: YALP; Engineering Sciences; sculpture; Colleges, Universities, and Professional Schools; Colleges, Universities, and Professional Schools
  • 2015
  • Case

Advanced Leadership Pathways: Mike Critelli and Dossia Service Corporation

By: Rosabeth Moss Kanter and Patricia Bissett Higgins
In 2010, Mark Critelli was a well-seasoned corporate executive who had recently transitioned from being the CEO of a Fortune 500 company to that of a startup called Dossia. As an AL Fellow, he knew that despite believing in Dossia’s mission to empower individuals with... View Details
Keywords: Health And Wellness; Health Care; Health Care Education; Health Care Entrepreneurship; Health Care Industry; Health Care Investment; Health Care Outcomes; Health Care Quality; Health Care Reform; Health Care Services; Health Costs; Preventive Care; Insurance Companies; Insurance Industry; Employee Compensation; Empoylee Wellness Programs; Patient Reported Outcome Measures; Patient Satisfaction; Data; Data Analytics; Entrepreneurs; Entrepreneurial Organizations; Entrepreneurial Ventures; Start-up; Leadership Skills; Disruptive Change; Health; Insurance; Employees; Leadership; Disruptive Innovation; Health Care and Treatment; Employment; Entrepreneurship; Business Startups; Information Technology; Analytics and Data Science; Health Industry; United States
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Kanter, Rosabeth Moss, and Patricia Bissett Higgins. "Advanced Leadership Pathways: Mike Critelli and Dossia Service Corporation." Harvard Business Publishing Case 316-053, 2015. (Harvard Advanced Leadership Initiative.)
  • Web

Research & Data Services for HBS Faculty & Doctoral Students | Baker Library

researchers, librarians and data specialists providing information, data, analytical and visualization solutions for HBS faculty, research... View Details
  • March 2016
  • Supplement

Advertising Experiments at RestaurantGrades

By: Weijia Dai, Hyunjin Kim and Michael Luca
This exercise provides students with a data set consisting of results from a hypothetical experiment, and asks students to make recommendations based on the data. Through this process, the exercise teaches students to analyze, design, and interpret experiments. The... View Details
Keywords: Experimental Methods; Analytics; Web Technology; Marketing; Digital Marketing; Analysis; Performance Effectiveness; Social Media
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Dai, Weijia, Hyunjin Kim, and Michael Luca. "Advertising Experiments at RestaurantGrades." Harvard Business School Spreadsheet Supplement 916-702, March 2016.
  • 31 Oct 2019
  • Blog Post

5 Things on My Mind in the Second Year of the MS/MBA: Engineering Sciences Program

engineering quite yet.  I chose Harvard’s MS/MBA: Engineering Sciences Program because of its interdisciplinary approach to bridge the gap between engineering and business. I saw that the program consisted... View Details
  • November 5, 2021
  • Article

Leaders: Stop Confusing Correlation with Causation

By: Michael Luca
We’ve all been told that correlation does not imply causation. Yet many business leaders, elected officials, and media outlets still make causal claims based on misleading correlations. These claims are too often unscrutinized, amplified, and mistakenly used to guide... View Details
Keywords: Behavioral Economics; Data Analysis; Organizations; Decision Making; Analytics and Data Science; Analysis; Learning
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Luca, Michael. "Leaders: Stop Confusing Correlation with Causation." Harvard Business Review Digital Articles (November 5, 2021).
  • 13 Mar 2017
  • Working Paper Summaries

Why and How Investors Use ESG Information: Evidence from a Global Survey

Keywords: by Amir Amel-Zadeh and George Serafeim
  • December 2013
  • Article

How Google Sold Its Engineers on Management

By: David A. Garvin
High-performing knowledge workers often question whether managers actually contribute much, especially in a technical environment. Until recently, that was the case at Google, a company filled with self-starters who viewed management as more destructive than beneficial... View Details
Keywords: Organizational Behavior; Human Resource Management; Managing Change; Organizational Change; Analytics; Management; Leadership; Human Resources; Talent and Talent Management
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Garvin, David A. "How Google Sold Its Engineers on Management." R1312D. Harvard Business Review 91, no. 12 (December 2013): 74–82.
  • 03 Jan 2017
  • Research & Ideas

5 New Year's Resolutions You Can Keep (With the Help of Behavioral Science Research)

it a week in advance rather than a day in advance of delivery. Indeed, the data showed that customers tended to order a higher percentage of healthy items (like leafy greens) and a lower percentage of... View Details
Keywords: by Carmen Nobel
  • 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.)
  • Article

Making Private Data Accessible in an Opaque Industry: The Experience of the Private Capital Research Institute

By: Josh Lerner and Leslie Jeng
Private markets are becoming an increasingly important way of financing rapidly growing and mature firms, and private investors are reputed to have far-reaching economic impacts. These important markets, however, are uniquely difficult to study. This paper explores... View Details
Keywords: Analytics and Data Science; Research; Entrepreneurship; Private Sector
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Lerner, Josh, and Leslie Jeng. "Making Private Data Accessible in an Opaque Industry: The Experience of the Private Capital Research Institute." American Economic Review: Papers and Proceedings 106, no. 5 (May 2016): 157–160.
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