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August 2017 (Revised August 2018)
Case

The Oakland Athletics: Strategy & Metrics for a Budget

By: Srikant M. Datar and Caitlin N. Bowler

This case considers Oakland Athletics General Manager Billy Beane’s data driven and, in baseball circles unconventional, approach to winning games over the duration of the long Major League Baseball season. Beane’s critical approach to crafting strategy within his... View Details

Keywords: Data Analysis; Metrics; Data Science; Analytics and Data Science; Analysis; Measurement and Metrics; Competitive Strategy; Organizational Culture; Sports Industry

23 Aug 2006
Working Paper Summaries

Capturing Benefits from Tomorrow’s Technology in Today’s Products: The Effect of Absorptive Capacity

Keywords: by Daniel Snow; Technology

October–December 2023
Article

A Practical Guide to Conversation Research: How to Study What People Say to Each Other

By: Michael Yeomans, Katelynn Boland, Hanne K. Collins, Nicole Abi-Esber and Alison Wood Brooks

Conversation—a verbal interaction between two or more people—is a complex, pervasive, and consequential human behavior. Conversations have been studied across many academic disciplines. However, advances in recording and analysis techniques over the last decade have... View Details

Keywords: Interpersonal Communication; Analytics and Data Science; Research

29 Sep 2020
Working Paper Summaries

Centrino and the Restructuring of Wi-Fi Supply

Keywords: by Roberto Fontana and Shane Greenstein; Telecommunications

March 2019
Case

DayTwo: Going to Market with Gut Microbiome

By: Ayelet Israeli and David Lane

DayTwo is a young Israeli startup that applies research on the gut microbiome and machine learning algorithms to deliver personalized nutritional recommendations to its users in order to minimize blood sugar spikes after meals. After a first year of trial rollout in... View Details

May 29, 2019
Article

A Study of More Than 250 Platforms Reveals Why Most Fail

By: David B. Yoffie, Annabelle Gawer and Michael A. Cusumano

This piece explores why digital platforms fail. We collected data on 250 failures over the last 20 years, analyzed the most common causes for a platform to disappear or morph into an alternative business. View Details

Keywords: Platform; Digital Platforms; Strategy; Failure; Analysis

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March 2022 (Revised January 2025)
Technical Note

Linear Regression

By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton

This note provides an overview of linear regression for an introductory data science course. It begins with a discussion of correlation, and explains why correlation does not necessarily imply causation. The note then describes the method of least squares, and how to... View Details

Keywords: Data Science; Linear Regression; Mathematical Modeling; Mathematical Methods; Analytics and Data Science

2002
Book

Organizations, Policy and the Natural Environment: Institutional and Strategic Perspectives

By: Andrew J. Hoffman and Marc Ventresca

This book brings together emerging perspectives from organization theory and management, environmental sociology, international regime studies, and the social studies of science and technology to provide a starting point for discipline-based studies of environmental... View Details

Keywords: Corporate Social Responsibility and Impact; Environmental Regulation

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Article

Moving Beyond Schumpeter: Management Research on the Determinants of Technological Innovation

By: Gautam Ahuja, Curba Morris Lampert and Vivek Tandon

Schumpeter's conjecture that large monopolistic firms were the key source of innovation in modern industrial economies has been the underpinning for much work on the topic of innovation. In this review paper we consciously move beyond the Schumpeterian tradition of... View Details

Keywords: Technological Innovation; Management; Strategy

19 Jul 2020
Working Paper Summaries

Open Source Software and Global Entrepreneurship

Keywords: by Nataliya Langburd Wright, Frank Nagle, and Shane Greenstein; Computer

2024
Book

Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity

By: Karen G. Mills

The second edition of Fintech, Small Business & the American Dream, builds on the groundbreaking 2019 book with new insights on how technology and artificial intelligence are transforming small business lending. This ambitious view covers the significance of... View Details

Keywords: Fintech; AI; AI and Machine Learning; Small Business; Economy; Technology Adoption; Credit; Financing and Loans; Analytics and Data Science

Winter 2017
Article

Why Big Data Isn't Enough

By: Sen Chai and Willy C. Shih

There is a growing belief that sophisticated algorithms can explore huge databases and find relationships independent of any preconceived hypotheses. But in businesses that involve scientific research and technological innovation, this approach is misguided and... View Details

Keywords: Big Data; Science-based; Science; Scientific Research; Data Analytics; Data Science; Data-driven Management; Data Scientists; Technological Innovation; Analytics and Data Science; Mathematical Methods; Theory

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May 2017
Other Article

Stepwise Distributed Open Innovation Contests for Software Development: Acceleration of Genome-Wide Association Analysis

By: Andrew Hill, Po-Ru Loh, Ragu B. Bharadwaj, Pascal Pons, Jingbo Shang, Eva C. Guinan, Karim R. Lakhani, Iain Kilty and Scott Jelinsky

BACKGROUND: The association of differing genotypes with disease-related phenotypic traits offers great potential to both help identify new therapeutic targets and support stratification of patients who would gain the greatest benefit from specific drug classes.... View Details

Keywords: Crowdsourcing; Genome-wide Association Study; Logistic Regression; Open Innovation; PLINK; Collaborative Innovation and Invention

2023
Working Paper

The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities

By: David S. Scharfstein and Sergey Chernenko

We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details

Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result

26 Feb 2018
Working Paper Summaries

Different Strokes for Different Folks: Experimental Evidence on Complementarities Between Human Capital and Machine Learning

Keywords: by Prithwiraj Choudhury, Evan Starr, and Rajshree Agarwal; Information Technology

August 2018 (Revised April 2019)
Case

Chateau Winery (A): Unsupervised Learning

By: Srikant M. Datar and Caitlin N. Bowler

This case follows Bill Booth, marketing manager of a regional wine distributor, as he applies unsupervised learning on data about his customers’ purchases to better understand their preferences. Specifically, he uses the K-means clustering technique to identify groups... View Details

Keywords: Clustering; Data Science; Analytics and Data Science; Customers; Marketing; Analysis

August 2018 (Revised September 2018)
Supplement

LendingClub (C): Gradient Boosting & Payoff Matrix

By: Srikant M. Datar and Caitlin N. Bowler

This case builds directly on the LendingClub (A) and (B) cases. In this case students follow Emily Figel as she builds an even more sophisticated model using the gradient boosted tree method to predict, with some probability, whether a borrower would repay or default... View Details

Keywords: Data Analytics; Data Science; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction

August 2001
Article

Technology as a Complex Adaptive System: Evidence from Patent Data

Keywords: Information Technology; System; Patents; Analytics and Data Science

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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

2016
Working Paper

Pivoting Isn't Enough: Principled Pragmatism and Strategic Reorientation in New Ventures

By: Rory McDonald and Cheng Gao

New technology ventures often experience deviations from their original plans that oblige them to reorient in pursuit of better fit between their evolving products and target customers. Yet research is largely silent on how entrepreneurs explain and justify their... View Details

Keywords: Strategic Reorientation; Technology Entrepreneurship; Innovation; Product Development Processes; Organizational Adaptation; Qualitative Methods (General); Information Technology; Organizational Change and Adaptation; Communication; Entrepreneurship; Alignment; Innovation and Invention; Product Development

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