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  • All HBS Web  (6,933)
    • News  (1,270)
    • Research  (4,455)
    • Events  (116)
    • Multimedia  (73)
  • Faculty Publications  (3,098)
← Page 38 of 6,933 Results →
  • July 2023 (Revised May 2024)
  • Case

Vytal: Packaging-as-a-Service

By: George Serafeim, Michael W. Toffel, Lena Duchene and Daniela Beyersdorfer
The Germany-based startup Vytal operated the largest digital-native reusable packaging-as-a-service network globally, having raised nearly €15 million, established a large network of restaurant partners, and prevented the use of millions of single-use take-out food... View Details
Keywords: Climate Risk; Digital; Platform Strategies; Data; Packaging; Sustainability; Start-up; Startup; Entrepreneur; Impact; Circular; Growth Strategy; Innovation; Environmental Sustainability; Innovation and Invention; Business Growth and Maturation; Growth and Development Strategy; Business Startups; Resource Allocation; Risk Management; Adoption; Strategy; Performance Productivity; Service Delivery; Service Operations; Supply Chain; Distribution; Entrepreneurship; Climate Change; Green Technology Industry; Service Industry; Retail Industry; Germany; Europe
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Serafeim, George, Michael W. Toffel, Lena Duchene, and Daniela Beyersdorfer. "Vytal: Packaging-as-a-Service." Harvard Business School Case 124-007, July 2023. (Revised May 2024.)
  • 2013
  • Article

How Concentrated Is the U.S. Advertising and Marketing Services Industry? Myth vs. Reality

By: Alvin J. Silk and Charles King III
We analyze changes in concentration levels in the U.S. Advertising and Marketing Services industry using data from the U.S. Census Bureau's quinquennial Economic Census and the Service Annual Survey. These data, heretofore largely ignored, allow us to redress some of... View Details
Keywords: Concentration Levels; Data; U.S. Census Bureau’s Quinquennial Economic Census And The Service Annual Survey; Measurement Problems; Herfindahl-Hirschman Index; Concentration Ratios; Advertising; Advertising Industry; North and Central America
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Silk, Alvin J., and Charles King III. "How Concentrated Is the U.S. Advertising and Marketing Services Industry? Myth vs. Reality." Journal of Current Issues & Research in Advertising 34, no. 1 (2013): 166–193.
  • September 2017
  • Article

The Belief in a Favorable Future

By: Todd Rogers, Don A. Moore and Michael I. Norton
People believe that future others’ preferences and beliefs will change to align with their own. People holding a particular view (e.g., support of President Trump) are more likely to believe that future others will share their view than to believe that future others... View Details
Keywords: Social Cognition; Judgment; Prediction; Forecasting; False Consensus; Donation; Open Data; Open Materials; Preregistered; Forecasting and Prediction; Perception; Values and Beliefs; Behavior
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Rogers, Todd, Don A. Moore, and Michael I. Norton. "The Belief in a Favorable Future." Psychological Science 28, no. 9 (September 2017): 1290–1301.
  • 24 Mar 2015
  • News

See Your Company Through the Eyes of a Hacker

Keywords: cyber attacks; private companies; customer data; information technology; cyber security; hacking
  • June 2020
  • Article

In Generous Offers I Trust: The Effect of First-offer Value on Economically Vulnerable Behaviors

By: M. Jeong, J. Minson and F. Gino
Negotiation scholarship espouses the importance of opening a bargaining situation with an aggressive offer, given the power of first offers to shape concessionary behavior and outcomes. In our research, we identify a surprising consequence to this common prescription.... View Details
Keywords: Attribution; Interpersonal Interaction; Judgment; Social Interaction; Inference; Open Data; Open Materials; Preregistered; Negotiation Offer; Strategy; Behavior; Interpersonal Communication; Trust; Outcome or Result
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Jeong, M., J. Minson, and F. Gino. "In Generous Offers I Trust: The Effect of First-offer Value on Economically Vulnerable Behaviors." Psychological Science 31, no. 6 (June 2020): 644–653.
  • June 2017
  • Article

When Novel Rituals Lead to Intergroup Bias: Evidence from Economic Games and Neurophysiology

By: Nicholas M. Hobson, Francesca Gino, Michael I. Norton and Michael Inzlicht
Long-established rituals in pre-existing cultural groups have been linked to the cultural evolution of large-scale group cooperation. Here we test the prediction that novel rituals—arbitrary hand and body gestures enacted in a stereotypical and repeated fashion—can... View Details
Keywords: Ritual; Intergroup Dynamics; Intergroup Bias; Neural Reward Processing; Open Data; Open Materials; Preregistered; Groups and Teams; Behavior; Prejudice and Bias; Cooperation
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Hobson, Nicholas M., Francesca Gino, Michael I. Norton, and Michael Inzlicht. "When Novel Rituals Lead to Intergroup Bias: Evidence from Economic Games and Neurophysiology." Psychological Science 28, no. 6 (June 2017): 733–750.
  • March 2020
  • Supplement

People Analytics at Teach For America (B)

By: Jeffrey T. Polzer and Julia Kelley
This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, situated one year after the A case, Managing Director Michael Metzger must decide how to apply his team's predictive models generated from the previous year’s data. View Details
Keywords: Analytics; Human Resource Management; Data; Workforce; Hiring; Talent Management; Forecasting; Predictive Analytics; Organizational Behavior; Recruiting; Analytics and Data Science; Forecasting and Prediction; Recruitment; Selection and Staffing; Talent and Talent Management
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Polzer, Jeffrey T., and Julia Kelley. "People Analytics at Teach For America (B)." Harvard Business School Supplement 420-086, March 2020.
  • November 28, 2017
  • Editorial

Active Investing v.2.0

By: Gabriel Karageorgiou and George Serafeim
Keywords: Investment; Investing; Technology; Big Data; Quantitative Analysis; ESG; ESG (Environmental, Social, Governance) Performance; Sustainability; Analytics and Data Science
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Karageorgiou, Gabriel, and George Serafeim. "Active Investing v.2.0." Pensions & Investments (online) (November 28, 2017).
  • August 2018 (Revised October 2019)
  • Case

C3.ai—Driven to Succeed

By: Robert Simons and George Gonzalez
CEO Tom Siebel navigates his artificial intelligence (ai) startup through a series of pivots, market expansions, and even an elephant attack to become a leading platform ad service provider. The case describes his unusual management approach emphasizing employee... View Details
Keywords: Strategy Execution; Performance Measurement; Critical Performance Variables; Strategic Boundaries; Internet Of Things; Artificial Intelligence; Software Development; Big Data; Machine Learning; Business Startups; Management Style; Business Strategy; Performance; Measurement and Metrics; Organizational Culture; AI and Machine Learning; Digital Transformation; Applications and Software; Digital Marketing; Analytics and Data Science; Technology Industry; United States; California
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Simons, Robert, and George Gonzalez. "C3.ai—Driven to Succeed." Harvard Business School Case 119-004, August 2018. (Revised October 2019.)
  • June 2018
  • Teaching Note

LabCDMX: Experiment 50

By: Mitchell Weiss and Matt Higgins
Teaching Note for HBS No. 817-031. View Details
Keywords: Public Entrepreneurship; Experimentation; Lean Startup; Government; Innovation; Crowdsourcing; Open Data; Mexico City; Mexico; Entrepreneurship; Innovation and Invention; Social Entrepreneurship; Government Administration; Transportation; Innovation Leadership; Transportation Industry; Public Administration Industry; Mexico; Mexico City
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Weiss, Mitchell, and Matt Higgins. "LabCDMX: Experiment 50." Harvard Business School Teaching Note 818-135, June 2018.
  • January 2021
  • Article

Machine Learning for Pattern Discovery in Management Research

By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect... View Details
Keywords: Machine Learning; Supervised Machine Learning; Induction; Abduction; Exploratory Data Analysis; Pattern Discovery; Decision Trees; Random Forests; Neural Networks; ROC Curve; Confusion Matrix; Partial Dependence Plots; AI and Machine Learning
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Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.
  • January 2017 (Revised April 2017)
  • Supplement

Bridj and the Business of Urban Mobility (B): A New Model in Kansas City

By: Rosabeth Moss Kanter and Jonathan Cohen
In late 2016, Bridj was expanding its digital platform to help address urban mobility problems faced by cities across the country and the world. Its founder and CEO, Matt George, weighed up several possible strategies for growth as he aimed to responsibly build the... View Details
Keywords: Mobility; Digital; Mobile App; Mobile; Data; Platform; Organization; Startup; Start-up Growth; Startup Management; Responsibility; Corporate Responsibility; Entrepreneurship; Information Technology; Transportation; Business and Stakeholder Relations; Growth and Development Strategy; Digital Platforms; Mobile and Wireless Technology; United States; District of Columbia; Massachusetts; Kansas; Mexico
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Kanter, Rosabeth Moss, and Jonathan Cohen. "Bridj and the Business of Urban Mobility (B): A New Model in Kansas City." Harvard Business School Supplement 317-047, January 2017. (Revised April 2017.)
  • 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.)
  • Spring 2021
  • Article

Corporate Resilience and Response During COVID-19

By: Alex Cheema-Fox, Bridget LaPerla, George Serafeim and Hui (Stacie) Wang
The coronavirus pandemic caused a sharp market decline while raising heterogeneous responses across companies related to their employees, supply chain, and repurposing of operations to provide needed products and services. We study whether during the 2020 COVID-19... View Details
Keywords: ESG; COVID-19; Coronavirus; Crisis Response Plans; Crisis; ESG (Environmental, Social, Governance) Performance; ESG Ratings; Leadership & Corporate Accountability; Big Data; Machine Learning; Investor Behavior; Institutional Investors; Corporate Performance; Health Pandemics; Crisis Management; Corporate Social Responsibility and Impact; Human Capital; Supply Chain; Operations; Leadership; Corporate Accountability; Institutional Investing; Performance
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Cheema-Fox, Alex, Bridget LaPerla, George Serafeim, and Hui (Stacie) Wang. "Corporate Resilience and Response During COVID-19." Journal of Applied Corporate Finance 33, no. 2 (Spring 2021): 24–40.
  • September 2016 (Revised March 2017)
  • Module Note

Strategy Execution Module 3: Using Information for Performance Measurement and Control

By: Robert Simons
This module reading explains how managers use information to control critical business processes and outcomes. The analysis begins by illustrating how managers use information to communicate goals and track performance. Then the focus turns to the choices that managers... View Details
Keywords: Management Control Systems; Implementing Strategy; Strategy Execution; Organization Process; Feedback Model; Innovation; Uses Of Information; Big Data; Benchmarking; Decision Making; Information; Performance Evaluation; Analytics and Data Science
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Simons, Robert. "Strategy Execution Module 3: Using Information for Performance Measurement and Control." Harvard Business School Module Note 117-103, September 2016. (Revised March 2017.)
  • January 2025
  • Supplement

Hippo: Weathering the Storm of the Home Insurance Crisis (B)

By: Lauren Cohen, Grace Headinger and Sophia Pan
Rick McCathron, CEO of Hippo, was optimistic about the InsurTech's path to profitability after navigating the financial uncertainties of 2022. By bundling their home insurance services with third-parties and established insurance incumbents, Hippo was adopting a... View Details
Keywords: Fintech; Underwriters; Big Data; Homeowners' Insurance; Catastrophe Risk; Global Warming; Environment; Business Economics; Vertical Specialization; Bundling; Economies Of Scale; Business Model; Forecasting and Prediction; Climate Change; Environmental Sustainability; Green Technology; Technological Innovation; Natural Environment; Natural Disasters; Weather; Business Strategy; Competitive Advantage; Business Earnings; Insurance; Social Issues; Profit; Growth and Development Strategy; Insurance Industry; California; United States
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Cohen, Lauren, Grace Headinger, and Sophia Pan. "Hippo: Weathering the Storm of the Home Insurance Crisis (B)." Harvard Business School Supplement 225-051, January 2025.
  • March 2016 (Revised April 2017)
  • Teaching Note

Bridj and the Business of Urban Mobility (A): Introducing a New Model

By: Rosabeth Moss Kanter and Jonathan Cohen
This note is for the purpose of aiding classroom instructors in the use of the Harvard Business School case "Bridj and the Business of Urban Mobility: Introducing a New Model." Instructors may use it to help students understand the challenges that come with disrupting... View Details
Keywords: Startup; Startup Management; Big Data; Smart Transit; Stakeholder Engagement; Stakeholder Management; Urban Vehicle; Mobility; Mass Transit; Uber; Government Relations; Technological Innovation; Analytics and Data Science; Entrepreneurship; Business and Stakeholder Relations; Business Startups; Transportation; Business and Government Relations; Transportation Industry; United States
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Kanter, Rosabeth Moss, and Jonathan Cohen. "Bridj and the Business of Urban Mobility (A): Introducing a New Model." Harvard Business School Teaching Note 316-155, March 2016. (Revised April 2017.)
  • August 2015 (Revised February 2017)
  • Case

Bridj and the Business of Urban Mobility (A): Developing a New Model

By: Rosabeth Moss Kanter and Daniel Fox
Bridj, a Boston startup that provides Big Data-powered, "pop-up" bus routes that respond to transportation demand, has been in operation for a little over a year and has recently launched service in Washington, D.C., its second market. Despite media acclaim and... View Details
Keywords: Startup; Startup Management; Big Data; Smart Transit; Stakeholder Engagement; Stakeholder Management; Urban Vehicle; Mobility; Mass Transit; Uber; Government Relations; Technological Innovation; Analytics and Data Science; Entrepreneurship; Business and Stakeholder Relations; Transportation; Business Startups; Management; Business and Government Relations; Transportation Industry; Boston; District of Columbia
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Kanter, Rosabeth Moss, and Daniel Fox. "Bridj and the Business of Urban Mobility (A): Developing a New Model." Harvard Business School Case 316-025, August 2015. (Revised February 2017.)
  • November 2024 (Revised January 2025)
  • Case

MiDAS: Automating Unemployment Benefits

By: Shikhar Ghosh and Shweta Bagai
In 2015, the state of Michigan considered whether to nominate its Michigan Integrated Data Automated System (MiDAS) for a prestigious state technology award. Launched in 2013 amid severe budget pressures, the $47 million automated fraud detection system was designed to... View Details
Keywords: Artificial Intelligence; AI; Machine Learning Models; Algorithmic Data; Automation; Benefits; Compensation; Cost Reduction; Government; Fraud; Government Technology; Public Sector; Systems; Systems Integration; Unemployment Insurance; Waste Heat Recovery; AI and Machine Learning; Government Administration; Insurance; Decision Making; Digital Transformation; Employment; Public Administration Industry; United States; Michigan
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Ghosh, Shikhar, and Shweta Bagai. "MiDAS: Automating Unemployment Benefits." Harvard Business School Case 825-100, November 2024. (Revised January 2025.)
  • 14 Feb 2022
  • Research & Ideas

Curiosity, Not Coding: 6 Skills Leaders Need in the Digital Age

with more data and analytics, executives we talked to said that leaders still need to adopt holistic thinking and stay open to the unexpected. They must learn to stretch their "own imagination and creativity" to envision what the future... View Details
Keywords: by Linda A. Hill, Ann Le Cam, Sunand Menon, and Emily Tedards; Technology
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