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- Faculty Publications (104)
Show Results For
- All HBS Web (309)
- Faculty Publications (104)
- 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
- 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
- Web
Publications - Faculty & Research
contribution, we examine whether and in which settings satellite measurements may be effective at estimating both agricultural yields and treatment... View Details Keywords: Measurement and Metrics ; Mathematical Methods ; Analytics and... View Details
- 23 May 2011
- Op-Ed
Leading and Lagging Countries in Contributing to a Sustainable Society
which corporate and investor behavior is changing. We did so by analyzing data from more than 2,000 companies in 23 countries, and then ranked those countries based on the degree of integration of corporate environmental and social... View Details
Keywords: by Robert G. Eccles & George Serafeim
- 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
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.)
- Web
Curriculum | MBA
Business School Financial Reporting and Control Harvard Business School Leadership & Organizational Behavior Harvard Business School Marketing Harvard Business School Technology & Operations Management Harvard Business School More on the... View Details
- 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
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
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
Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (B): Supervised Learning." Harvard Business School Supplement 119-024, August 2018. (Revised April 2019.)
- Web
Marketing - Doctoral
field exam, and then another three years on dissertation research and writing. The Marketing program draws on computer science, economics, behavioral science, and psychological methods to focus on marketing problems faced by the firm and... View Details
- 05 Jul 2023
- HBS Case
What Kind of Leader Are You? How Three Action Orientations Can Help You Meet the Moment
an analytical orientation often find comfort in data, leaning on numbers or models to develop a plan that provides the best chance for success (e.g., “data is king”). Contextual. Individuals with a contextual orientation tend to focus on... View Details
Keywords: by Ben Rand
- March 2022 (Revised May 2022)
- Case
Winning Business at Russell Reynolds (A)
By: Ethan Bernstein and Cara Mazzucco
In an effort to make compensation drive collaboration, Russell Reynolds Associates’ (RRA) CEO Clarke Murphy sought to re-engineer the bonus system for his executive search consultants in 2016. As his HR analytics guru, Kelly Smith, points out, that risks upsetting–and... View Details
Keywords: Compensation; Collaboration; Executive Search Firms; Consulting Firms; Compensation and Benefits; Restructuring; Human Resources; Human Capital; Management Practices and Processes; Organizational Culture; Organizational Change and Adaptation; Social and Collaborative Networks; Recruitment; Selection and Staffing; Talent and Talent Management; Consulting Industry; Employment Industry; Asia; Europe; Latin America; Middle East; North and Central America; South America; Oceania
Bernstein, Ethan, and Cara Mazzucco. "Winning Business at Russell Reynolds (A)." Harvard Business School Case 422-045, March 2022. (Revised May 2022.)
- Web
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Education Harvard Business Analytics Program Harvard Business School Online MBA Predoctoral Researchers Alumni Alumni Events Alumni Reunions Commencement New Venture Competition Public Events Faculty / Research / Topics View Details
Jill J. Avery
Dr. Jill Avery is a Senior Lecturer of Business Administration and C. Roland Christensen Distinguished Management Educator in the marketing unit at Harvard Business School. She is a respected authority on branding and brand management, customer relationship... View Details
Keywords: consumer products; arts; advertising; automobiles; retailing; fashion; hotels & motels; food; beverage
- 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
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.
- Article
Beyond Statistics: The Economic Content of Risk Scores
By: Liran Einav, Amy Finkelstein, Raymond Kluender and Paul Schrimpf
"Big data" and statistical techniques to score potential transactions have transformed insurance and credit markets. In this paper, we observe that these widely-used statistical scores summarize a much richer heterogeneity, and may be endogenous to the context in which... View Details
Einav, Liran, Amy Finkelstein, Raymond Kluender, and Paul Schrimpf. "Beyond Statistics: The Economic Content of Risk Scores." American Economic Journal: Applied Economics 8, no. 2 (April 2016): 195–224.
- Research Summary
Overview
I have spent my career studying novel talent management practices and their effect on collaboration and performance. My core research focuses on two interrelated organizational trends that have become salient in the 21st century: workplace transparency (who gets to... View Details
Keywords: Privacy; Transparency; Productivity; Field Experiments; Communication; Design; Human Resources; Leadership; Management; Organizational Design; Organizational Structure; Performance; Groups and Teams; Networks; Behavior; Social and Collaborative Networks; Satisfaction; North America; Europe; Asia; China; Japan; Latin America
- Web
Program Requirements - Doctoral
2020b) Psychology Social Behavior in Organizations: Research Seminar (Psychology 2630) Advanced Social Psychology (Psychology 2500) Research Methods Courses (4 courses) Students must take four research methods courses, including at least... View Details