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  • All HBS Web  (3,998)
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  • February 2015 (Revised September 2016)
  • Teaching Note

Making stickK Stick: The Business of Behavioral Economics

By: Leslie K. John and Michael Norton
Email mking@hbs.edu for a courtesy copy.

This Teaching Note explains the theory of the case and teaching plan for the case: Making sticK Stick: The Business of Behavioral Economics (514019). The case focuses on a... View Details
Keywords: Behavioral Economics; Behavior Change; B2B Vs. B2C; Human Resource Management; Marketing Of Innovations; Health & Wellness; Weight Loss; Charitable Giving; Marketing; Consumer Behavior; Entrepreneurship; Internet and the Web; Health; Business Model; Sales; Human Resources; Health Industry; United States
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John, Leslie K., and Michael Norton. "Making stickK Stick: The Business of Behavioral Economics." Harvard Business School Teaching Note 515-088, February 2015. (Revised September 2016.) (Email mking@hbs.edu for a courtesy copy.)
  • 12 Oct 2020
  • News

MBA/DBA Alum Wins Nobel Prize in Economics

news: He and fellow Stanford professor Paul Milgrom had won the 2020 Nobel Prize in Economics for their improvements to auction theory and inventions of new auction formats. Milgrom had his phone in Do Not... View Details
Keywords: Nobel Prize; negotiation; auction theory; career paths
  • Article

Counterfactual Explanations Can Be Manipulated

By: Dylan Slack, Sophie Hilgard, Himabindu Lakkaraju and Sameer Singh
Counterfactual explanations are useful for both generating recourse and auditing fairness between groups. We seek to understand whether adversaries can manipulate counterfactual explanations in an algorithmic recourse setting: if counterfactual explanations indicate... View Details
Keywords: Machine Learning Models; Counterfactual Explanations
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Slack, Dylan, Sophie Hilgard, Himabindu Lakkaraju, and Sameer Singh. "Counterfactual Explanations Can Be Manipulated." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
  • Article

Experience Theory, or How Desserts Are Like Losses

By: Jolie M. Martin, Martin Reimann and Michael I. Norton
While many experiments have explored risk preferences for money, few have systematically assessed risk preferences for everyday experiences. We propose a conceptual model and provide convergent evidence from seven experiments that, in contrast to a typical “zero”... View Details
Keywords: Experiences; Monetary Gambles; Risk Preferences; Experience Theory; Risk and Uncertainty; Behavior; Decision Choices and Conditions
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Martin, Jolie M., Martin Reimann, and Michael I. Norton. "Experience Theory, or How Desserts Are Like Losses." Journal of Experimental Psychology: General 145, no. 11 (November 2016): 1460–1472.
  • 04 Jun 2012
  • Research & Ideas

The Business of Life

unusual application of an economic term delighted Christensen, a management professor known around HBS and the globe as both a brilliant business thinker and a deeply religious man. For more than a decade he has been a go-to consultant... View Details
Keywords: by Carmen Nobel
  • 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.)
  • spring 2006
  • Article

All's Fair in Love, War, & Bankruptcy: Corporate Governance Implications of CEO Turnover in Financial Distress

By: Ethan S. Bernstein
Prior discussions of management turnover during financial distress have examined bankrupt and non-bankrupt firms as distinct groupings with little overlap. Separately investigating rates of turnover in-bankruptcy and out-of-bankruptcy, without a direct comparison... View Details
Keywords: CEO Turnover; Bankruptcy; Restructuring; Shadow Of Bankruptcy; Borrowing and Debt; Credit; Financing and Loans; Corporate Governance; Finance; Theory; Markets; United States
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Bernstein, Ethan S. "All's Fair in Love, War, & Bankruptcy: Corporate Governance Implications of CEO Turnover in Financial Distress." Stanford Journal of Law, Business & Finance 11, no. 2 (spring 2006): 299–325.
  • December 2020
  • Case

VIA Science (A)

By: Juan Alcácer, Rembrand Koning, Annelena Lobb and Kerry Herman
Via (a) captures the early days of the data analytics startup as founders Gounden and Ravanis considered which markets offer the right opportunities for their firm and what kinds of experiments will help them narrow their choice. Supplement Via (b) reveals the... View Details
Keywords: Data Analytics; Machine Learning; Artificial Intelligence; Strategy; Business Startups; Markets; AI and Machine Learning; Telecommunications Industry; Utilities Industry; United States; Japan
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Alcácer, Juan, Rembrand Koning, Annelena Lobb, and Kerry Herman. "VIA Science (A)." Harvard Business School Case 721-367, December 2020.
  • May 2000
  • Article

Maxmin Expected Utility over Savage Acts with a Set of Priors

By: Ramon Casadesus-Masanell, Peter Klibanoff and Emre Ozdenoren
This paper provides an axiomatic foundation for a maxmin expected utility over a set of priors (MMEU) decision rule in an environment where the elements of choice are Savage acts. This characterization complements the original axiomatizations of MMEU developed in a... View Details
Keywords: Uncertainty Aversion; Ambiguity; Expected Utility; Set Of Priors; Knightian Uncertainty; Decision Making; Game Theory; Risk and Uncertainty; Mathematical Methods
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Casadesus-Masanell, Ramon, Peter Klibanoff, and Emre Ozdenoren. "Maxmin Expected Utility over Savage Acts with a Set of Priors." Journal of Economic Theory 92, no. 1 (May 2000): 35–65.
  • 2021
  • Working Paper

Time Dependency, Data Flow, and Competitive Advantage

By: Ehsan Valavi, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu and Karim R. Lakhani
Data is fundamental to machine learning-based products and services and is considered strategic due to its externalities for businesses, governments, non-profits, and more generally for society. It is renowned that the value of organizations (businesses, government... View Details
Keywords: Economics Of AI; Value Of Data; Perishability; Time Dependency; Flow Of Data; Data Strategy; Analytics and Data Science; Value; Strategy; Competitive Advantage
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Valavi, Ehsan, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu, and Karim R. Lakhani. "Time Dependency, Data Flow, and Competitive Advantage." Harvard Business School Working Paper, No. 21-099, March 2021.
  • 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.)
  • 19 Oct 2017
  • HBS Seminar

Dennis Carlton, University of Chicago Booth School of Business

  • September 2020 (Revised March 2022)
  • Case

JOANN: Joannalytics Inventory Allocation Tool

By: Kris Ferreira and Srikanth Jagabathula
Michael Joyce, Vice President of Inventory Management at JOANN, championed an effort to develop and implement an inventory allocation analytics tool that used advanced analytics to predict in-season demand of seasonal items for each of JOANN’s nearly 900 stores and... View Details
Keywords: Analytics; Machine Learning; Optimization; Inventory Management; Mathematical Methods; Decision Making; Operations; Supply Chain Management; Resource Allocation; Distribution; Technology Adoption; Applications and Software; Change Management; Fashion Industry; Consumer Products Industry; Retail Industry; United States; Ohio
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Ferreira, Kris, and Srikanth Jagabathula. "JOANN: Joannalytics Inventory Allocation Tool." Harvard Business School Case 621-055, September 2020. (Revised March 2022.)
  • February 2018
  • Article

Retention Futility: Targeting High-Risk Customers Might Be Ineffective.

By: Eva Ascarza
Companies in a variety of sectors are increasingly managing customer churn proactively, generally by detecting customers at the highest risk of churning and targeting retention efforts towards them. While there is a vast literature on developing churn prediction models... View Details
Keywords: Retention/churn; Proactive Churn Management; Field Experiments; Heterogeneous Treatment Effect; Machine Learning; Customer Relationship Management; Risk Management
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Ascarza, Eva. "Retention Futility: Targeting High-Risk Customers Might Be Ineffective." Journal of Marketing Research (JMR) 55, no. 1 (February 2018): 80–98.
  • December 2018 (Revised March 2021)
  • Background Note

Modern Automation (A): Artificial Intelligence

By: William R. Kerr and James Palano
This primer is meant to be a field guide to the late 2010s' surge in business use of "Artificial Intelligence" (AI), or enterprise software based in machine learning. First, it provides an overview of the key trends—digitization, connectivity, the continuation of... View Details
Keywords: Artificial Intelligence; Digitization; Connectivity; Computing; Future Of Work; Automation; AI and Machine Learning
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Kerr, William R., and James Palano. "Modern Automation (A): Artificial Intelligence." Harvard Business School Background Note 819-084, December 2018. (Revised March 2021.)
  • May 2016 (Revised April 2018)
  • Case

Building the Digital Manufacturing Enterprise of the Future at Siemens

By: Willy Shih
This case describes the motivation for and the development of Siemens' digital manufacturing enterprise vision, which became the foundation for its implementation of Industrie 4.0. While the effort started with a purely defensive move by Anton Huber, head of the... View Details
Keywords: Big Data; Internet Of Things; Internet Of Everything; Industrie 4.0; Digital Factory; Digital Enterprise; Digital Manufacturing; Manufacturing; Production Management; Production Planning; Computer Software; Germany; German Manufacturing; Machinery and Machining; Information Technology; Digital Platforms; Technological Innovation; Production; Supply Chain; Applications and Software; Information Infrastructure; Internet and the Web; Analytics and Data Science; Manufacturing Industry; Germany
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Shih, Willy. "Building the Digital Manufacturing Enterprise of the Future at Siemens." Harvard Business School Case 616-060, May 2016. (Revised April 2018.)
  • 15 Dec 2016
  • HBS Seminar

Joel Isaac, University of Cambridge

    Empire of Cotton

    The epic story of the rise and fall of the empire of cotton, its centrality to the world economy, and its making and remaking of global capitalism.
     
    Cotton is so ubiquitous as to be almost invisible, yet understanding its history is key to understanding the... View Details

      A Causal Test of the Strength of Weak Ties

      The strength of weak ties is an influential social-scientific theory that stresses the importance of weak associations (e.g., acquaintance versus close friendship) in influencing the transmission of information through social networks. However, causal tests of... View Details
      • July 2013
      • Technical Note

      Competition Simulator Exercise: Questions

      By: Eric Van den Steen
      In the Competition Simulator Exercise, students explore through trial and error some important economic foundations of competitive strategy and managerial economics. In particular, the simulator lets students explore horizontal differentiation with and without price... View Details
      Keywords: Economics Of Strategy; Economics Of Competition; Competition; Economics; Game Theory; Competitive Strategy; Marketing Strategy
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      Van den Steen, Eric. "Competition Simulator Exercise: Questions." Harvard Business School Technical Note 714-406, July 2013.
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