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Publications

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  • All HBS Web  (1,718)
    • People  (9)
    • News  (318)
    • Research  (1,047)
    • Events  (15)
    • Multimedia  (10)
  • Faculty Publications  (857)

Show Results For

  • All HBS Web  (1,718)
    • People  (9)
    • News  (318)
    • Research  (1,047)
    • Events  (15)
    • Multimedia  (10)
  • Faculty Publications  (857)
← Page 5 of 1,718 Results →
  • September 1972
  • Article

An Analytical Derivation of the Efficient Portfolio Frontier

By: Robert C. Merton
Keywords: Investment
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Merton, Robert C. "An Analytical Derivation of the Efficient Portfolio Frontier." Journal of Financial and Quantitative Analysis 10 (September 1972): 1851–1872.
  • 10 Mar 2021
  • Podcast

Can AI and analytics deliver efficient, equitable skills markets?

As employers and job seekers cope with pandemic-induced disruption and uncertainty, the role of intermediary is more crucial than ever. Job platform CareerBuilder, with its two-sided skills market, looks to smooth the employment process and increase diversity. CEO... View Details
  • July 2015 (Revised October 2017)
  • Case

Podium Data: Harnessing the Power of Big Data Analytics

By: Lynda M. Applegate, Karim R. Lakhani and Nicole Bucala
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Applegate, Lynda M., Karim R. Lakhani, and Nicole Bucala. "Podium Data: Harnessing the Power of Big Data Analytics." Harvard Business School Case 816-007, July 2015. (Revised October 2017.)

    A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects

    We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing... View Details
    • September 1985 (Revised August 1992)
    • Background Note

    Note on Marketing Data Diskettes and MAT (Marketing Analytical Tools)

    Citation
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    Kaufmann, Patrick J. "Note on Marketing Data Diskettes and MAT (Marketing Analytical Tools)." Harvard Business School Background Note 586-056, September 1985. (Revised August 1992.)
    • 16 Dec 2022
    • HBS Conference

    2022 Conference on Artificial Intelligence, Machine Learning, and Business Analytics

    • December 2020
    • Supplement

    People Analytics at Teach For America (B) (Data Set)

    By: Jeff Polzer
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    Polzer, Jeff. "People Analytics at Teach For America (B) (Data Set)." Harvard Business School Spreadsheet Supplement 421-054, December 2020.
    • 2023
    • Chapter

    Marketing Through the Machine’s Eyes: Image Analytics and Interpretability

    By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
    he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
    Keywords: Transparency; Marketing Research; Algorithmic Bias; AI and Machine Learning; Marketing
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    Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia, 217–238. Review of Marketing Research. Emerald Publishing Limited, 2023.
    • April 1989
    • Article

    Untangling Unfamiliar 1988 Consolidated Statements: An Analytical Guide To Understanding

    By: David F. Hawkins
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    Hawkins, David F. "Untangling Unfamiliar 1988 Consolidated Statements: An Analytical Guide To Understanding." Accounting Bulletin (Drexel Burnham Lambert), no. 3 (April 1989).
    • 11 Dec 2015
    • News

    Analytics in Online Flash Sales: Demand Forecasting and Price Optimization

    • Winter 2016
    • Article

    Analytics for an Online Retailer: Demand Forecasting and Price Optimization

    By: Kris J. Ferreira, Bin Hong Alex Lee and David Simchi-Levi
    We present our work with an online retailer, Rue La La, as an example of how a retailer can use its wealth of data to optimize pricing decisions on a daily basis. Rue La La is in the online fashion sample sales industry, where they offer extremely limited-time... View Details
    Keywords: Internet and the Web; Price; Forecasting and Prediction; Revenue; Sales; Retail Industry
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    Ferreira, Kris J., Bin Hong Alex Lee, and David Simchi-Levi. "Analytics for an Online Retailer: Demand Forecasting and Price Optimization." Manufacturing & Service Operations Management 18, no. 1 (Winter 2016): 69–88.
    • 08 Jan 2018
    • News

    HBS-Born Startup Arms Doctors with Analytics to Provide Better Care

    Keywords: Ambulatory Health Care Services; Health, Social Assistance
    • September 2019
    • Case

    Starling Trust Sciences: Measuring Trust in Organizations

    By: Aiyesha Dey, Jonas Heese and James Weber
    Stephen Scott needed to decide whether to keep his behavioral analytics startup in the people analytics sector or shift his company into the RegTech sector. Starling had develop technology that enabled its customers to anticipate and shape the behavior of their... View Details
    Keywords: Behavioral Analytics; Financial Institutions; Banks and Banking; Entrepreneurship; Strategy; Banking Industry; Consulting Industry; Information Technology Industry; United States; United Kingdom
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    Dey, Aiyesha, Jonas Heese, and James Weber. "Starling Trust Sciences: Measuring Trust in Organizations." Harvard Business School Case 120-006, September 2019.
    • 2010
    • Book

    The New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance

    By: Marshall Fisher and Ananth Raman
    Retailers today are drowning in data but lacking in insight: They have huge volumes of information at their disposal. But they're unsure of how to sort through it and use it to make smart decisions. The result? They're struggling with profit-sapping supply chain... View Details
    Keywords: Profit; Knowledge Use and Leverage; Logistics; Supply Chain Management; Mathematical Methods; Retail Industry
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    Fisher, Marshall, and Ananth Raman. The New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance. Harvard Business Press, 2010.
    • 1970
    • Dissertation

    Analytical Optimal Control Theory as Applied to Stochastic and Non-Stochastic Economics

    By: Robert C. Merton
    Keywords: Mathematical Methods; Economics
    Citation
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    Merton, Robert C. "Analytical Optimal Control Theory as Applied to Stochastic and Non-Stochastic Economics." Diss., Massachusetts Institute of Technology (MIT), 1970.
    • November 2019
    • Teaching Note

    TSG Hoffenheim: Football in the Age of Analytics (A) and (B)

    By: Feng Zhu, Sascha L. Schmidt, Karim R. Lakhani and Shirley Sun
    Teaching Note for HBS Nos. 616-010 and 620-055. View Details
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    Zhu, Feng, Sascha L. Schmidt, Karim R. Lakhani, and Shirley Sun. "TSG Hoffenheim: Football in the Age of Analytics (A) and (B)." Harvard Business School Teaching Note 620-067, November 2019.
    • June 2019
    • Teaching Note

    Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics

    By: Michael W. Toffel and Dan Levy
    Teaching Note for HBS No. 618-019. View Details
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    Toffel, Michael W., and Dan Levy. "Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics." Harvard Business School Teaching Note 619-071, June 2019.
    • June 2019
    • Supplement

    Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics

    By: Michael W. Toffel and Dan Levy
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    Toffel, Michael W., and Dan Levy. "Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics." Harvard Business School PowerPoint Supplement 619-717, June 2019.
    • June 2019
    • Teaching Note

    Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics

    By: Michael W. Toffel and Dan Levy
    Teaching Note for HBS No. 618-019. View Details
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    Toffel, Michael W., and Dan Levy. "Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics." Harvard Business School Teaching Note 619-044, June 2019.
    • March 2017 (Revised March 2022)
    • Case

    Flashion: Art vs. Science in Fashion Retailing

    By: Kris Ferreira and Karim R. Lakhani
    Kate Wilson, retail analytics manager at Flashion, a fashion flash-sale site, is tasked with developing analytics to optimize pricing for first-exposure products on the site. Many in the industry have relied on years of experience and intuition to determine pricing—can... View Details
    Keywords: Analytics; Pricing; Data; Service Operations; Forecasting and Prediction; Internet and the Web; Technology Adoption; Mathematical Methods; Decision Making; E-commerce; Retail Industry; Fashion Industry; United States
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    Ferreira, Kris, and Karim R. Lakhani. "Flashion: Art vs. Science in Fashion Retailing." Harvard Business School Case 617-059, March 2017. (Revised March 2022.)
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