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  • All HBS Web  (643)
    • News  (130)
    • Research  (401)
    • Events  (4)
    • Multimedia  (4)
  • Faculty Publications  (165)
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  • August 2018 (Revised September 2018)
  • Supplement

LendingClub (C): Gradient Boosting & Payoff Matrix

By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) and (B) cases. In this case students follow Emily Figel as she builds an even more sophisticated model using the gradient boosted tree method to predict, with some probability, whether a borrower would repay or default... View Details
Keywords: Data Analytics; Data Science; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction
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Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (C): Gradient Boosting & Payoff Matrix." Harvard Business School Supplement 119-022, August 2018. (Revised September 2018.)
  • Winter 2012
  • Article

Is a Nuclear Deal with Iran Possible?: An Analytical Framework for the Iran Nuclear Negotiations

By: James K. Sebenius and Michael K. Singh
Varied diplomatic approaches by multiple negotiators over several years have failed to conclude a nuclear deal with Iran. Mutual hostility, misperception, and flawed diplomacy may be responsible. Yet, more fundamentally, no mutually acceptable deal may exist. To assess... View Details
Keywords: Nuclear Proliferation; Zone Of Possible Agreement; International Relations; Negotiation; Iran; United States
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Sebenius, James K., and Michael K. Singh. "Is a Nuclear Deal with Iran Possible? An Analytical Framework for the Iran Nuclear Negotiations." International Security 37, no. 3 (Winter 2012): 52–91.
  • 07 Mar 2013
  • Working Paper Summaries

Prominent Job Advertisements, Group Learning, and Wage Dispersion

Keywords: by Julio J. Rotemberg
  • 2007
  • Other Unpublished Work

Effects of Inventory on Demand for Rentals in the Home Video Market

By: Ioannis Ioannou, Julie Mortimer and Richard Mortimer
Retailer inventory decisions can greatly influence observed demand for a product by affecting, among other things, product availability (stock-outs) and product visibility in the store. These inventory decisions are affected by numerous factors including vertical... View Details
Keywords: Decisions; Demand and Consumers; Supply Chain Management; Competition; Contracts; Entertainment and Recreation Industry; United States
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Ioannou, Ioannis, Julie Mortimer, and Richard Mortimer. "Effects of Inventory on Demand for Rentals in the Home Video Market." December 2007.
  • Article

AI Companions Reduce Loneliness

By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet K. Uğuralp and Stefano Puntoni
Chatbots are now able to engage in sophisticated conversations with consumers in the domain of relationships, providing a potential coping solution to widescale societal loneliness. Behavioral research provides little insight into whether these applications are... View Details
Keywords: AI and Machine Learning; Well-being; Emotions; Applications and Software
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De Freitas, Julian, Zeliha Oğuz-Uğuralp, Ahmet K. Uğuralp, and Stefano Puntoni. "AI Companions Reduce Loneliness." Journal of Consumer Research (in press). (Pre-published online June 25, 2025.)
  • January–February 2020
  • Article

Competing in the Age of AI

By: Marco Iansiti and Karim R. Lakhani
Today’s markets are being reshaped by a new kind of firm—one in which artificial intelligence (AI) runs the show. This cohort includes giants like Google, Facebook, and Alibaba, and growing businesses such as Wayfair and Ocado. Every time we use their services, the... View Details
Keywords: Artificial Intelligence; Algorithms; Technological Innovation; Business Model; Competition; Competitive Strategy; AI and Machine Learning
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Iansiti, Marco, and Karim R. Lakhani. "Competing in the Age of AI." Harvard Business Review 98, no. 1 (January–February 2020): 60–67.
  • October 2009 (Revised July 2012)
  • Case

Emotiv Systems Inc.: It's the Thoughts that Count

By: Elie Ofek, Jason Riis and Paul Hamilton
Emotiv is getting ready to launch its innovative brain-computer interfacing (BCI) technology. The company has developed a special headset, called EPOC, and highly sophisticated software that can translate a person's emotions, cognitive thoughts, and facial expressions... View Details
Keywords: Technology Adoption; Sales; Technological Innovation; Demand and Consumers; Marketing Strategy; Partners and Partnerships; Entrepreneurship; Forecasting and Prediction; Product Launch; Business Startups; Technology Industry
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Ofek, Elie, Jason Riis, and Paul Hamilton. "Emotiv Systems Inc.: It's the Thoughts that Count." Harvard Business School Case 510-050, October 2009. (Revised July 2012.)
  • January 2009 (Revised February 2009)
  • Case

Sydney IVF: Stem Cell Research

By: Robert L. Simons, Kathryn Rosenberg and Natalie Kindred
This case examines the strategy implementation and risk management decisions at Sydney IVF, a research-based in vitro fertilization and stem cell company based in Australia. Drs. Robert Jansen and Jock Anderson, who co-founded Sydney IVF in 1986, developed novel... View Details
Keywords: Ethics; Governing Rules, Regulations, and Reforms; Innovation and Management; Growth and Development Strategy; Risk Management; Genetics; Commercialization; Health Industry; Australia
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Simons, Robert L., Kathryn Rosenberg, and Natalie Kindred. "Sydney IVF: Stem Cell Research." Harvard Business School Case 109-017, January 2009. (Revised February 2009.)
  • 12 Mar 2008
  • Working Paper Summaries

Allocating Marketing Resources

Keywords: by Sunil Gupta & Thomas J. Steenburgh
  • March 2018
  • Case

Lufax: FinTech and the Transformation of Wealth Management in China

By: Christopher J. Malloy, Lauren H. Cohen and Anthony K. Woo
This case examines the rise and competitive positioning of Lufax, an online marketplace headquartered in Shanghai, China, and a pioneer in the origination and trading of financial assets. The company had grown at a remarkable rate, and was awarded “Trading Platform of... View Details
Keywords: Asset Management; Internet and the Web; Competitive Strategy; Situation or Environment; Product Positioning; Financial Services Industry; China
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Malloy, Christopher J., Lauren H. Cohen, and Anthony K. Woo. "Lufax: FinTech and the Transformation of Wealth Management in China." Harvard Business School Case 218-088, March 2018.
  • December 1997 (Revised April 1998)
  • Case

www.springs.com

By: F. Warren McFarlan and Melissa Dailey
Business Week's June 1997 "Rising Star" profile of Springs Industries' president and COO, Crandall Bowles, reported that she was poised to become one of the top two or three women executives in the country. In November 1997, the company announced Bowles' appointment to... View Details
Keywords: Information Technology; Operations; Product Marketing; Management; Strategy; Consumer Products Industry; South Carolina
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McFarlan, F. Warren, and Melissa Dailey. "www.springs.com." Harvard Business School Case 398-091, December 1997. (Revised April 1998.)
  • October 2002 (Revised December 2003)
  • Case

eShip-4U

By: Roy D. Shapiro and Timothy M. Laseter
eShip is a small Israeli start-up with a potentially exciting new concept for the residential package-delivery value chain--the Automatic Delivery Machine (ADM). Much like today's ubiquitous ATMs, ADMs would allow consumers to have parcels delivered to a nearby ADM... View Details
Keywords: Business Startups; Business Model; Service Operations; Logistics; Corporate Strategy; Information Technology; Competitive Strategy; Value Creation; Saving; Innovation and Invention; Transportation Industry; Service Industry; Shipping Industry; Israel; United States
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Shapiro, Roy D., and Timothy M. Laseter. "eShip-4U." Harvard Business School Case 603-076, October 2002. (Revised December 2003.)
  • October 1, 2021
  • Article

An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance.

By: B.M. Balk, M.R. De Koster, Christian Kaps and J.L. Zofio
Cross-efficiency measurement is an extension of Data Envelopment Analysis that allows for tie-breaking ranking of the Decision Making Units (DMUs) using all the peer evaluations. In this article we examine the theory of cross-efficiency measurement by comparing a... View Details
Keywords: Efficiency Analysis; Performance Benchmarking; Warehousing; Analytics and Data Science; Performance Evaluation; Measurement and Metrics; Mathematical Methods
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Balk, B.M., M.R. De Koster, Christian Kaps, and J.L. Zofio. "An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance." Art. 126261. Applied Mathematics and Computation 406 (October 1, 2021).
  • Article

Governments as Owners: State-Owned Multinational Companies

By: Alvaro Cuervo-Cazurra, Andrew Inkpen, Aldo Musacchio and Kannan Ramaswamy
The globalization of state-owned multinational companies (SOMNCs) has become an important phenomenon in international business (IB), yet it has received scant attention in the literature. We explain how the analysis of SOMNCs can help advance the literature by... View Details
Keywords: Multinational Corporation; State-owned Enterprises; State Capitalism; FDI; Internationalization; Government And Business; National Oil Companies; State Ownership; Multinational Firms and Management; Business Subsidiaries; Acquisition; Pharmaceutical Industry; Energy Industry; China; India; Europe
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Cuervo-Cazurra, Alvaro, Andrew Inkpen, Aldo Musacchio, and Kannan Ramaswamy. "Governments as Owners: State-Owned Multinational Companies." Special Issue on Governments as Owners: Globalizing State-Owned Enterprises edited by Alvaro Cuervo-Cazurra, Andrew Inkpen, Aldo Musacchio and Kannan Ramaswamy. Journal of International Business Studies 45, no. 8 (October–November 2014): 919–942.
  • 2009
  • Case

What People Want (and How to Predict It)

By: Thomas H. Davenport and Jeanne G. Harris
Historically, neither the creators nor the distributors of cultural products such as books or movies have used analytics -- data, statistics, predictive modeling -- to determine the likely success of their offerings. Instead, companies relied on the brilliance of... View Details
Keywords: Product Development; Creativity; Customer Satisfaction; Forecasting and Prediction; Markets; Business Model; Publishing Industry; Motion Pictures and Video Industry
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Davenport, Thomas H., and Jeanne G. Harris. "What People Want (and How to Predict It)." 2009.
  • 2017
  • Working Paper

BATNAs in Negotiation: Common Errors and Three Kinds of 'No'

By: James K. Sebenius
The best alternative to a negotiated agreement (“BATNA”) concept in negotiation has proven to be immensely useful. In tandem with its value in practice, BATNA has become a wildly successful acronym (with more than 14 million Google results). But the initial... View Details
Keywords: Negotiation; BATNA; Bargaining; Zone Of Possible Agreement; Reservation Price; Reservation Value; Agreements and Arrangements; Negotiation Tactics
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Sebenius, James K. "BATNAs in Negotiation: Common Errors and Three Kinds of 'No'." Harvard Business School Working Paper, No. 17-055, December 2016. (Revised March 2017, a version of this article is forthcoming in the Negotiation Journal, April 2017.)
  • May 2021 (Revised February 2024)
  • Teaching Note

THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

By: Ayelet Israeli and Jill Avery
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Predictive Analytics; App Development; "Marketing Analytics"; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
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Israeli, Ayelet, and Jill Avery. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Teaching Note 521-097, May 2021. (Revised February 2024.)
  • December 2021
  • Case

Slice Labs: Creating a Fraud-free Online Insurance Platform

By: Amit Goldenberg, Max Bazerman and Ruth Page
"Slice Labs: Creating a Fraud-Free Online Insurance Platform" engages students with the challenge of how to influence other parties to not engage in fraud in the context of digital insurance. The case is centered around Slice, a digital insurance company that was... View Details
Keywords: Technology; Insurance; Digitization; Honesty; Negotiation; Fraud; Ethics; Negotiation Process; Negotiation Tactics; Negotiation Types; Social Psychology; Conflict and Resolution; Trust; Fairness; Moral Sensibility; Values and Beliefs; Crime and Corruption; Insurance Industry; Technology Industry; United States; Canada
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Goldenberg, Amit, Max Bazerman, and Ruth Page. "Slice Labs: Creating a Fraud-free Online Insurance Platform." Harvard Business School Multimedia/Video Case 921-712, December 2021.
  • 08 Nov 2016
  • First Look

November 8, 2016

relationship between the complexity of an environment, the sophistication of the problem-solving processes and procedures used to optimally map problem statements into strategic actions, and the organizational structures that are best... View Details
Keywords: Sean Silverthorne
  • 19 Sep 2023
  • HBS Case

How Will the Tech Titans Behind ChatGPT, Bard, and LLaMA Make Money?

about implementing AI, there are different levels of sophistication to consider. You could wait for other companies to develop the relevant applications, or you could buy an API and build your own application, or you could actually train... View Details
Keywords: by Ben Rand; Technology; Information Technology
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