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- Faculty Publications (134)
Show Results For
- All HBS Web (312)
- Faculty Publications (134)
- 13 Apr 2010
- First Look
First Look: April 13
demanding that middle- and lower-level managers redo their forecasts, plans, and budgets. In some cases, top executives simply acquiesce to increasingly unrealistic analyst forecasts and adopt them as the... View Details
Keywords: Martha Lagace
- May 2007
- Article
Aspects of Endowment: A Query Theory of Value Construction
By: Eric Johnson, Gerald Häubl and Anat Keinan
How do people judge the monetary value of objects? One clue is provided by the typical endowment study (D. Kahneman, J. L. Knetsch, & R. H. Thaler, 1991), in which participants are randomly given either a good, such as a coffee mug, that they may later sell ("sellers")... View Details
Keywords: Profit; Forecasting and Prediction; Theory; Valuation; Loss; Ownership; Decision Choices and Conditions
Johnson, Eric, Gerald Häubl, and Anat Keinan. "Aspects of Endowment: A Query Theory of Value Construction." Journal of Experimental Psychology: Learning, Memory, and Cognition 33, no. 3 (May 2007): 461–474.
- October 2010
- Article
Preferring Balanced vs. Advantageous Peace Agreements: A Study of Israeli Attitudes Towards a Two-State Solution
By: Deepak Malhotra and Jeremy Ginges
The paper extends research on fixed-pie perceptions by suggesting that disputants may prefer proposals that are perceived to be equally attractive to both parties (i.e., balanced) rather than one-sided, because balanced agreements are seen as more likely to be... View Details
Keywords: Fixed Pie; Balance; Peace; Negotiation; Agreements and Arrangements; Conflict and Resolution; Government and Politics; Balance and Stability; Forecasting and Prediction; Attitudes; Israel; Palestinian state
Malhotra, Deepak, and Jeremy Ginges. "Preferring Balanced vs. Advantageous Peace Agreements: A Study of Israeli Attitudes Towards a Two-State Solution." Judgment and Decision Making 5, no. 6 (October 2010): 420–427.
- Web
Food & Agriculture - Business & Environment
experiencing more extreme temperatures, increasing droughts and floods, more violent storms, and new plant diseases and insect pests. The United Nations forecasts that by 2050 the world’s population will grow by more than two billion... View Details
- 01 Dec 2023
- News
Thinking Ahead
As we wind down 2023, there’s talk everywhere of generative AI and how it will fundamentally alter the world as we know it; but how does that translate for your corner of the business world? Is TikTok something you need to take seriously? (Is it time to dance?) We... View Details
- 18 Mar 2013
- HBS Case
HBS Cases: LEGO
management, product demand was so high at times that executives actually found themselves discussing ways to slow sales. A Shock To The System That all changed in the early 1990s as seismic shifts pounded the toy market. Big Box toy... View Details
- March–April 2023
- Article
Market Segmentation Trees
By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market... View Details
Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing
Aouad, Ali, Adam Elmachtoub, Kris J. Ferreira, and Ryan McNellis. "Market Segmentation Trees." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 648–667.
- 03 Oct 2005
- Research & Ideas
The Box Office Power of Stars
owned by Cantor Index Holdings, mimics a real supply-and-demand-based stock exchange like the NYSE. HSX acts as the market maker—its technology is set up so that when there is high demand for a certain stock, prices will automatically go... View Details
- May 2017 (Revised March 2018)
- Case
Predicting Consumer Tastes with Big Data at Gap
By: Ayelet Israeli and Jill Avery
CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big... View Details
Keywords: Retailing; Preference Elicitation; Big Data; Predictive Analytics; Artificial Intelligence; Fashion; Marketing; Marketing Strategy; Marketing Channels; Brands and Branding; Consumer Behavior; Demand and Consumers; Analytics and Data Science; Forecasting and Prediction; E-commerce; Apparel and Accessories Industry; Consumer Products Industry; Fashion Industry; Retail Industry; United States; Canada; North America
Israeli, Ayelet, and Jill Avery. "Predicting Consumer Tastes with Big Data at Gap." Harvard Business School Case 517-115, May 2017. (Revised March 2018.)
- January 2021 (Revised March 2021)
- Case
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Jill Avery, Ayelet Israeli and Emma von Maur
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; Preference Prediction; 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
Avery, Jill, Ayelet Israeli, and Emma von Maur. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Case 521-070, January 2021. (Revised March 2021.)
- Web
Topics - HBS Working Knowledge
Satisfaction (23) Customer Value and Value Chain (12) Customers (104) Customization and Personalization (3) Debt Securities (1) Decision Choices and Conditions (43) Decision Making (240) Decisions (10) Demand and Consumers (223)... View Details
- Forthcoming
- Article
Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming).
- 12 Jul 2011
- First Look
First Look: July 12
debt issuers deteriorates during credit booms, and that this deterioration forecasts low excess returns to corporate bondholders. The key insight is that changes in the pricing of credit risk disproportionately affect the financing costs... View Details
Keywords: Carmen Nobel
- 01 Feb 1999
- News
Too Much of a Good Thing?
booming. Banks and companies, eager for a piece of the action, invest heavily in production capability. Not surprisingly, a market can soon become saturated with too much product; consequently, demand drops, revenues slow to a trickle,... View Details
Keywords: Garry Emmons
- 20 Oct 2011
- Research & Ideas
Getting the Marketing Mix Right
the right mix between them—the ideal brew needed to achieve sales and market share goals. The trick is that each marketing effort affects consumer behavior in different ways, and also prompts different types of responses from competitors. Some activities result in... View Details
Keywords: by Dina Gerdeman
- Web
Business Fundamentals Course - CORe | HBS Online
pricing strategies Identify sources of competitive advantage through differentiation Evaluate the financial health of a business using financial statements Prepare and evaluate financial forecasts Who Will Benefit Professionals MBA... View Details
- 07 Jun 2004
- Research & Ideas
What Drives Supply Chain Behavior?
be divided into strategic and operational activities. Strategic activities include, among others, long-term capacity planning and network configuration of warehouses, distributors, and retail stores. Examples of operational activities include short-term View Details
Keywords: by Sarah Jane Johnston
- 05 Feb 2013
- First Look
First Look: Feb. 5
earns an average risk-adjusted return of 4.68% per year. Firms with central boards also experience higher future growth in return-on-assets (ROA) with analysts failing to fully reflect this information in their earnings forecasts. Return prediction, growth in ROA, and... View Details
Keywords: Sean Silverthorne
- Web
Research - Behavioral Finance & Financial Stability
power. Their findings suggest that there is significant heterogeneity in banks’ ability to capture value by manufacturing safe assets. See Mark’s other research here , Stefan’s other research here , and Adi’s other research here . More Info Rate-amplifying View Details
- January–February 2023
- Article
Data-Driven COVID-19 Vaccine Development for Janssen
By: Dimitris Bertsimas, Michael Lingzhi Li, Xinggang Liu, Jennings Xu and Najat Khan
The COVID-19 pandemic has spurred extensive vaccine research worldwide. One crucial part of vaccine development is the phase III clinical trial that assesses the vaccine for safety and efficacy in the prevention of COVID-19. In this work, we enumerate the first... View Details
Keywords: COVID-19; Health Testing and Trials; Forecasting and Prediction; AI and Machine Learning; Research; Pharmaceutical Industry
Bertsimas, Dimitris, Michael Lingzhi Li, Xinggang Liu, Jennings Xu, and Najat Khan. "Data-Driven COVID-19 Vaccine Development for Janssen." INFORMS Journal on Applied Analytics 53, no. 1 (January–February 2023): 70–84.