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  • All HBS Web  (327)
    • News  (68)
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  • 06 May 2015
  • What Do You Think?

Are You Ready for Personalized Predictive Analytics?

amounts of inventory that ensure an in-stock position when an order is received. An argument can be made that any forecast and inventory is based on predictive analytics. But in the past, these analytics were applied to data that... View Details
Keywords: by James Heskett
  • March 2023
  • Article

Learning to Successfully Hire in Online Labor Markets

By: Marios Kokkodis and Sam Ransbotham
Hiring in online labor markets involves considerable uncertainty: which hiring choices are more likely to yield successful outcomes and how do employers adjust their hiring behaviors to make such choices? We argue that employers will initially explore the value of... View Details
Keywords: Selection and Staffing; Analysis; Decision Choices and Conditions
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Kokkodis, Marios, and Sam Ransbotham. "Learning to Successfully Hire in Online Labor Markets." Management Science 69, no. 3 (March 2023): 1597–1614.
  • February 2022
  • Case

Cleveland Clinic Abu Dhabi (Abridged)

By: Linda A. Hill and Emily Tedards
In 2006, the Cleveland Clinic and Mubadala Investment Company partnered with a bold ambition to deliver world class healthcare in the United Arab Emirates. In 2015, after nearly a decade of planning and construction, Cleveland Clinic Abu Dhabi opened its doors. By... View Details
Keywords: Organization Behavior; Culture; Alignment; Organizational Effectiveness; Purpose; Impact; Leadership Development; Diversity; Collaboration; Co-creation; Learning Organizations; Empowerment; Teams; Team Dynamics; Teamwork; Team Effectiveness; Trust; Talent; Talent Development And Retention; Psychological Safety; Organizational Evolution; Coaching; Board; Analytics; Innovation; Data; Data Visualization; Digital Technology; Digital; Customer Experience; Experimentation; Change Management; Data-driven Decision-making; Debates; Ecosystem; Partnership; Telemedicine; Sustainability; Global Organizations; Local; Hospital; Healthcare; United Arab Emirates; Health Care and Treatment; Partners and Partnerships; Globalization; Quality; Organizational Culture; Mission and Purpose; Innovation and Management; Information Technology; Joint Ventures; Leadership; Performance Effectiveness; Abu Dhabi; United Arab Emirates
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Hill, Linda A., and Emily Tedards. "Cleveland Clinic Abu Dhabi (Abridged)." Harvard Business School Case 422-056, February 2022.
  • 19 Jan 2021
  • Working Paper Summaries

The Value of Descriptive Analytics: Evidence from Online Retailers

Keywords: by Ron Berman and Ayelet Israeli; Retail; Technology
  • January 2024 (Revised February 2024)
  • Exercise

Travelogo: Understanding Customer Journeys

By: Eva Ascarza, Nicolas Padilla and Oded Netzer
In late May 2023, Sarah Merino, the newly appointed manager of the Customer Insights group at Travelogo—an online travel booking platform—initiates a comprehensive analysis of clickstream data to understand the varied behaviors and needs of their users. In preparation... View Details
Keywords: Customer Relationship Management; Analysis; Analytics and Data Science; Marketing Strategy; Segmentation; Consumer Behavior; Travel Industry; United States
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Ascarza, Eva, Nicolas Padilla, and Oded Netzer. "Travelogo: Understanding Customer Journeys." Harvard Business School Exercise 524-044, January 2024. (Revised February 2024.)
  • Article

Choosing Between Lotteries: Remarkable Coordination Without Communication

By: Yoella Bereby-Meyer, Simone Moran, Brit Grosskopf and Dolly Chugh
The current research examines tacit coordination behavior in a lottery selection task. Two hundred participants in each of three experiments and 100 in a fourth choose to participate in one of two lotteries, where one lottery has a larger prize than the other.... View Details
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Bereby-Meyer, Yoella, Simone Moran, Brit Grosskopf, and Dolly Chugh. "Choosing Between Lotteries: Remarkable Coordination Without Communication." Journal of Behavioral Decision Making 26, no. 4 (October 2013): 338–347.
  • Article

Optimal Value and Growth Tilts in Long-Horizon Portfolios

By: Jakub W. Jurek and Luis M. Viceira
We develop an analytical solution to the dynamic portfolio choice problem of an investor with power utility defined over wealth at a finite horizon, who faces a time-varying investment opportunity set, parameterized using a flexible vector autoregression. We apply this... View Details
Keywords: Decision Choices and Conditions; Private Equity; Investment; Investment Portfolio; Asset Pricing; Value
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Jurek, Jakub W., and Luis M. Viceira. "Optimal Value and Growth Tilts in Long-Horizon Portfolios." Review of Finance 15, no. 1 (January 2011): 29–74.
  • 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.
  • 19 Jun 2007
  • First Look

First Look: June 19, 2007

also show that the internal control provisions of section 404 of Sarbanes-Oxley make royalty arrangements based on self-reporting more attractive. Download the paper: http://www.hbs.edu/research/pdf/07-100.pdf Toward a Theory of View Details
Keywords: Martha Lagace
  • 01 Mar 2011
  • Working Paper Summaries

How Foundations Think: The Ford Foundation as a Dominating Institution in the Field of American Business Schools

Keywords: by Rakesh Khurana, Kenneth Kimura & Marion Fourcad; Education
  • Research Summary

Supply Chain Inventory Planning

My work studies management decision-making in demand and supply planning contexts with a focus on forecasting and inventory planning decisions.  I examine these decision-making processes from both a supply chain (i.e. across firm) and an... View Details

  • 17 Jun 2014
  • First Look

First Look: June 17

Tech Standards By: Lerner, Josh, and Jean Tirole Abstract—No abstract available. Publisher's link: http://www.sciencemag.org/content/343/6174/972.figures-only August 2013 Management Science Observation Bias: The Impact of Demand Censoring on Newsvendor Level and... View Details
Keywords: Sean Silverthorne
  • 15 Sep 2015
  • First Look

September 15, 2015

Operations Management Analytics for an Online Retailer: Demand Forecasting and Price Optimization By: Ferreira, Kris J., Bin Hong Alex Lee, and David Simchi-Levi Abstract—We present our work with an online retailer, Rue La La, as an... View Details
Keywords: Sean Silverthorne
  • 23 May 2011
  • Op-Ed

Leading and Lagging Countries in Contributing to a Sustainable Society

Editor's note: Please see related story, Corporate Sustainability Reporting: It's Effective. To what extent companies contribute to a sustainable society is a question increasingly important, not only to the companies themselves, but also to investors, the countries... View Details
Keywords: by Robert G. Eccles & George Serafeim
  • 21 Jul 2008
  • Research & Ideas

Solving the Marketing Resources Allocation Puzzle

millions of customers are able to track how marketing investments affect individual customer's behavior. Every aspect of behavior is being monitored—a customer's first encounter with the firm, the initial and subsequent purchases, and the... View Details
Keywords: by Sean Silverthorne
  • March 2009 (Revised June 2010)
  • Case

Neck & Neck: Leveraging the Club Neck Information

Commercial Director Prado wonders how to leverage the loyalty card information to prepare the fall 2008 budget. The case discusses the value of subjective and objective information for profit-planning purposes. Spanish children's apparel retailer Neck & Neck uses... View Details
Keywords: Customer Relationship Management; Profit; Knowledge Use and Leverage; Marketing; Consumer Behavior; Retail Industry
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Martinez-Jerez, Francisco de Asis, Jasmijn Bol, Christopher Ittner, and Katherine Miller. "Neck & Neck: Leveraging the Club Neck Information." Harvard Business School Case 109-070, March 2009. (Revised June 2010.)
  • March 2021 (Revised January 2022)
  • Case

Philips: Redefining Telehealth

By: Regina E. Herzlinger, Alec Petersen, Natalie Kindred and Sara M. McKinley
As one of the world’s largest healthcare companies, Philips sought to reach beyond the walls of the hospital and expand its hospital-to-home program to gain future competitive advantage through technology solutions combining predictive analytics with care delivery. By... View Details
Keywords: Health Care; Philips; Visicu; Telemedicine; eICU; Accountable Care Organization; ACO; Bundled Payment; Hospital To Home; Patient Monitoring Devices; Home Health Care; Health Care and Treatment; Communication Technology; Quality; Safety; Performance Productivity; Performance Capacity; Performance Efficiency; Consumer Behavior; Emerging Markets; Health Industry; Telecommunications Industry; Netherlands
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Herzlinger, Regina E., Alec Petersen, Natalie Kindred, and Sara M. McKinley. "Philips: Redefining Telehealth." Harvard Business School Case 321-135, March 2021. (Revised January 2022.) (As companion reading for this case, see: Regina E. Herzlinger and Charles Huang. "Note on Bundled Payment in Health Care," HBS Background Note 312-032.)
  • 2020
  • Working Paper

Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry
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Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
  • August 2018 (Revised April 2019)
  • Supplement

Chateau Winery (B): Supervised Learning

By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on “Chateau Winery (A).” In this case, Bill Booth, marketing manager of a regional wine distributor, shifts to supervised learning techniques to try to predict which deals he should offer to customers based on the purchasing behavior of those... View Details
Keywords: Data Science; Clustering; Analytics and Data Science; Customers; Marketing; Analysis
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Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (B): Supervised Learning." Harvard Business School Supplement 119-024, August 2018. (Revised April 2019.)
  • 2025
  • Working Paper

Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning

By: Liangzong Ma, Ta-Wei Huang, Eva Ascarza and Ayelet Israeli
Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships between customer states, company actions, and long-term value. However, its practical implementation often faces significant challenges.... View Details
Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science
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Ma, Liangzong, Ta-Wei Huang, Eva Ascarza, and Ayelet Israeli. "Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning." Harvard Business School Working Paper, No. 25-037, February 2025.
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