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2021
Working Paper

Hidden Software and Veiled Value Creation: Illustrations from Server Software Usage

By: Raviv Murciano-Goroff, Ran Zhuo and Shane Greenstein

How do you measure the value of a commodity that transacts at a price of zero from an economic standpoint? This study examines the potential for and extent of omission and misattribution in standard approaches to economic accounting with regards to open source... View Details

Keywords: Server Software; Open Source Distribution; Applications and Software; Analytics and Data Science; Economics; Value Creation; Measurement and Metrics

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October 2002
Exercise

Luster Paint Corporation, The

By: Janice H. Hammond

Describes a marketing director about to launch a new process for demand forecasting. Provides data that allow students to do a multivariable regression analysis. A rewritten version of an earlier case. View Details

Keywords: Forecasting and Prediction; Analytics and Data Science; Management Practices and Processes; Demand and Consumers; Mathematical Methods

Article

Fast Generalized Subset Scan for Anomalous Pattern Detection

By: Edward McFowland III, Skyler Speakman and Daniel B. Neill

We propose Fast Generalized Subset Scan (FGSS), a new method for detecting anomalous patterns in general categorical data sets. We frame the pattern detection problem as a search over subsets of data records and attributes, maximizing a nonparametric scan statistic... View Details

Keywords: Pattern Detection; Anomaly Detection; Knowledge Discovery; Bayesian Networks; Scan Statistics; Analytics and Data Science

04 Dec 2018
First Look

New Research and Ideas, December 4, 2018

includes analytics scholars interested in healthcare and healthcare practitioners interested in analytics. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=55291 forthcoming Accounting Review Who Consumes Firm... View Details

Keywords: Dina Gerdeman

June 2021
Technical Note

Introduction to Linear Regression

By: Michael Parzen and Paul Hamilton

This technical note introduces (from an applied point of view) the theory and application of simple and multiple linear regression. The motivation for the model is introduced, as well as how to interpret the summary output with regard to prediction and statistical... View Details

Keywords: Linear Regression; Regression; Analysis; Forecasting and Prediction; Risk and Uncertainty; Theory; Compensation and Benefits; Mathematical Methods; Analytics and Data Science

August 2003
Case

Mercury Computer Systems: The Evolution from Integrated Technology to Open Standard

By: Rebecca Henderson and Nancy Confrey

For 20 years, Mercury Computer Systems has thrived, providing products and services that support ultrafast processing of real time data. Now Jay Bertelli, the CEO, faces a critical question: How can the firm compete once the standards on which its products are based... View Details

Keywords: Analytics and Data Science; Open Source Distribution; Strategic Planning; Competitive Strategy; Competitive Advantage; Information Technology; Information Technology Industry

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Article

Mitigating Bias in Adaptive Data Gathering via Differential Privacy

By: Seth Neel and Aaron Leon Roth

Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated... View Details

Keywords: Bandit Algorithms; Bias; Analytics and Data Science; Mathematical Methods; Theory

December 1996 (Revised November 2006)
Background Note

General Mills, Inc.: Appendix of Comparable Company Data

By: William J. Bruns Jr.

Financial ratios for comparable companies to be used in conjunction with an analysis of the General Mills Annual Report. View Details

Keywords: Business Conglomerates; Analytics and Data Science; Food and Beverage Industry

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January 2016
Case

Acxiom

By: John Deighton

Acxiom built the market for personal data, yet sales have been flat for a decade during which marketing's appetite for data has exploded. Will the acquisition of a digital data onboarder LiveRamp give marketers what they want from a data broker? View Details

Keywords: Big Data; Direct Marketing; Personal Data; Privacy; Digital Marketing; Retargeting; Rights; Analytics and Data Science; Ethics; Marketing; United States

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

Article

One Obstacle to Curing Cancer: Patient Data Isn't Shared

By: Richard G. Hamermesh and Kathy Giusti

Precision Medicine requires large datasets to identify the mutations that lead to various cancers. Currently, genomic information is hoarded in fragmented silos within numerous academic medical centers, pharmaceutical companies, and some disease-based foundations. For... View Details

Keywords: Healthcare; Technological And Scientific Innovation; Cancer Care In The U.S.; Cancer Treatment; Precision Medicine; Personalized Medicine; Data Sharing; Technological Innovation; Analytics and Data Science; Health Disorders; Medical Specialties; Research and Development; Customization and Personalization; Health Industry; United States

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14 Dec 2015
Research & Ideas

Deflategate and the Sustained Success of the New England Patriots

organizations involved. But Deflategate isn’t the only issue examined by the case. “What started essentially as an analytics exercise ended up as a much broader analysis of the data, the sport, the NFL, and how it’s organized and how it’s... View Details

Keywords: by Roberta Holland; Sports

November 2019
Article

How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework

By: Doug J. Chung, Byungyeon Kim and Byoung G. Park

This paper evaluates the short- and long-term value of sales representatives’ detailing visits to different types of physicians. By understanding the dynamic effect of sales calls across heterogeneous physicians, we provide guidance on the design of optimal call... View Details

Keywords: Nerlove-Arrow Framework; Stock-of-goodwill; Dynamic Panel Data; Serial Correlation; Instrumental Variables; Sales Effectiveness; Detailing; Analytics and Data Science; Sales; Analysis; Performance Effectiveness; Pharmaceutical Industry

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February 2011
Supplement

Dataset for "Slots, Tables, and All That Jazz: Managing Customer Profitability at the MGM Grand Hotel" (CW)

By: Dennis Campbell and Francisco de Asis Martinez-Jerez

Datasets of gaming and hotel customers to perform analysis for the case. View Details

Keywords: Analytics and Data Science; Games, Gaming, and Gambling; Las Vegas

May 2018
Article

Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change

By: Edward L. Glaeser, Hyunjin Kim and Michael Luca

Data from digital platforms have the potential to improve our understanding of gentrification and enable new measures of how neighborhoods change in close to real time. Combining data on businesses from Yelp with data on gentrification from the Census, Federal Housing... View Details

Keywords: Forecasting Models; Simulation Methods; Regional Economic Activity: Growth, Development, Environmental Issues, And Changes; Geographic Location; Local Range; Transition; Analytics and Data Science; Measurement and Metrics; Economic Growth; Forecasting and Prediction

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March 2016 (Revised April 2017)
Teaching Note

Bridj and the Business of Urban Mobility (A): Introducing a New Model

By: Rosabeth Moss Kanter and Jonathan Cohen

This note is for the purpose of aiding classroom instructors in the use of the Harvard Business School case "Bridj and the Business of Urban Mobility: Introducing a New Model." Instructors may use it to help students understand the challenges that come with disrupting... View Details

June 1982 (Revised May 1995)
Case

Ellis Manufacturing Co.

By: Roy D. Shapiro

Ellis finds itself in a weakening competitive position largely due to the lack of rationalization in its plants. Driven by a strong traditionally decentralized sales organization, Ellis finds that all plants want control over all product lines. As a result, overall... View Details

Keywords: Factories, Labs, and Plants; Cost; Analytics and Data Science; Brands and Branding; Performance Capacity; Competitive Strategy; Construction Industry

January 1989 (Revised July 1991)
Case

Bank for International Development, Software Case

By: W. Carl Kester and Timothy A. Luehrman

A hypothetical case in which an assistant treasurer of a supranational bank is asked to determine in which currencies it has been cheaper ex post to borrow. An integral part of the case is a Lotus 1-2-3 worksheet containing monthly data on yen and dollar interest... View Details

Keywords: Decisions; Interest Rates; International Finance; Relationships; Currency; Management Analysis, Tools, and Techniques; Analytics and Data Science; Inflation and Deflation

August 2015 (Revised February 2017)
Case

Bridj and the Business of Urban Mobility (A): Developing a New Model

By: Rosabeth Moss Kanter and Daniel Fox

Bridj, a Boston startup that provides Big Data-powered, "pop-up" bus routes that respond to transportation demand, has been in operation for a little over a year and has recently launched service in Washington, D.C., its second market. Despite media acclaim and... View Details

11 Jun 2020
In Practice

Are Digital Organizations Better at Overcoming COVID?

chains and people analytics to artificial intelligence-based models and automated biotechnology research, organizations further along the digital curve are responding differently than those still wondering how to evolve. The digital... View Details

Keywords: by Danielle Kost

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