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- June 2022
- Article
The Use and Misuse of Patent Data: Issues for Finance and Beyond
By: Josh Lerner and Amit Seru
Patents and citations are powerful tools for understanding innovation increasingly used in financial economics (and management research more broadly). Biases may result, however, from the interactions between the truncation of patents and citations and the changing...
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- May 2022
- Article
How Status of Research Papers Affects the Way They Are Read and Cited
By: Misha Teplitskiy, Eamon Duede, Michael Menietti and Karim R. Lakhani
Although citations are widely used to measure the influence of scientific works, research shows that many citations serve rhetorical functions and reflect little-to-no influence on the citing authors. If highly cited papers disproportionately attract rhetorical...
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Keywords:
Metrics;
Influence;
Status;
Citations;
Science;
Measurement and Metrics;
Research;
Perception
- March–April 2022
- Article
Uncovering the Mitigating Psychological Response to Monitoring Technologies: Police Body Cameras Not Only Constrain but Also Depolarize
By: Shefali V. Patil and Ethan Bernstein
Despite organizational psychologists’ long-standing caution against monitoring (citing its reduction in employee autonomy and thus effectiveness), many organizations continue to use it, often with no detriment to performance and with strong support, not protest, from...
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- March 2022
- Module Note
Exploratory Data Analysis
By: Iavor I. Bojinov, Michael Parzen and Paul J. Hamilton
This module note provides an overview of exploratory data analysis for an introduction to data science course. It begins by defining the term "data", and then describes the different types of data that companies work with (structured v. unstructured, categorical v....
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- March 2022
- Module Note
Linear Regression
By: Iavor I. Bojinov, Michael Parzen and Paul J. 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...
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- March 2022
- Module Note
Prediction & Machine Learning
By: Iavor I. Bojinov, Michael Parzen and Paul J. Hamilton
This note provides an introduction to machine learning for an introductory data science course. The note begins with a description of supervised, unsupervised, and reinforcement learning. Then, the note provides a brief explanation of the difference between traditional...
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- March 2022
- Module Note
Statistical Inference
By: Iavor I. Bojinov, Michael Parzen and Paul J. Hamilton
This note provides an overview of statistical inference for an introductory data science course. First, the note discusses samples and populations. Next the note describes how to calculate confidence intervals for means and proportions. Then it walks through the logic...
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- March 2022
- Case
GrowSari (A): Design for the Last Mile Customer
By: Brian Trelstad, Cam Carag and Michi Ferreol
Reymund (ER) Rollan and Shivapratim (Shiv) Choudhury, founders of the digital technology platform GrowSari, were at a crossroads. The feedback from their initial product roll-out were not what they had expected, and they needed to decide how to proceed. The pair,...
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- March 2022
- Teaching Note
Digital Manufacturing at Amgen
By: Shane Greenstein, Kyle R. Myers and Sarah Mehta
This teaching note provides guidance for instructors teaching “Digital Manufacturing at Amgen,” case no. 621-008.
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Keywords:
Change;
Change Management;
Decision Making;
Cost vs Benefits;
Decisions;
Information Technology;
Analytics and Data Science;
Innovation and Invention;
Innovation and Management;
Innovation Leadership;
Innovation Strategy;
Technological Innovation;
Jobs and Positions;
Knowledge;
Leadership;
Organizational Culture;
Science;
Strategy;
Technology Adoption;
Biotechnology Industry;
Pharmaceutical Industry;
United States;
California;
Puerto Rico;
Rhode Island
- March 2022
- Case
Moksha Data: Delivering Insights for Public Services
By: Ashish Nanda and Zack Kurtovich
Moksha Data, a boutique data consulting firm specializing in public sector work, started in January 2017 with a handshake between friends and a shared commitment to the principles of egalitarianism, ownership, and collaboration. Since its inception, the Houston-based...
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Keywords:
Professional Service Firms;
Professional Service Firm;
Strategy Formulation;
Data;
Data As A Service;
Government Contracting;
Consulting;
Consulting Firms;
Consulting Services;
Entrepreneurship;
Public Sector;
Analytics and Data Science;
Growth and Development;
Strategy;
Consulting Industry;
Texas
- February 2022
- Case
CityScore: Big Data Comes to Boston
By: Boris Groysberg and Sarah L. Abbott
In 2016, Martin “Marty” Walsh, the Mayor of Boston, introduced CityScore, a data dashboard that measured the city’s progress across a range of metrics. The dashboard was updated daily and publicly available. The mayor frequently discussed the CityScore targets in...
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- February 2022
- Teaching Plan
Community Solutions
By: Brian Trelstad and Tom Quinn
Teaching Plan for HBS Case No. 322-021. Community Solutions was an anti-homelessness nonprofit founded in 2011 after protagonist Rosanne Haggerty grew frustrated with the limited impact of traditional housing and outreach strategies. It set an ambitious goal, reached...
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- January 2022 (Revised February 2022)
- Case
Introducing EVA at ISS: A Better Way to Evaluate CEO Performance and Compensation?
By: Jonas Heese, Charles C.Y. Wang and James Weber
In early 2019, Anthony Campagna, the global director of fundamental research at ISS EVA, a unit of the proxy advisory firm Institutional Shareholder Services (ISS), was preparing to release ISS's analyses of public company performance and CEO compensation ahead of Say...
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- January 2022
- Article
Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems
By: David R. Clough and Andy Wu
Gregory, Henfridsson, Kaganer, and Kyriakou (2020) highlight the important role of data and AI as strategic resources that platforms may use to enhance user value. However, their article overlooks a significant conceptual distinction: the installed base of...
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- December 2021
- Case
Burning Glass Technologies: From Data to Product
By: Suraj Srinivasan and Amy Klopfenstein
In May 2021, Matt Sigelman, CEO of Burning Glass Technologies, a company that provided labor market analytics for a variety of markets, navigates his company’s transition from data company to product company. Burning Glass originated as a service that used artificial...
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Keywords:
Information Technology;
Applications and Software;
Digital Platforms;
Internet and the Web;
Strategy;
Expansion;
Business Strategy;
Labor;
Employment;
Human Capital;
Jobs and Positions;
Job Design and Levels;
Job Search;
Human Resources;
Selection and Staffing;
Recruitment;
Employees;
Retention;
Competency and Skills;
Experience and Expertise;
Talent and Talent Management;
Analytics and Data Science;
Business Model;
Technology Industry;
North and Central America;
United States
- November 5, 2021
- Article
Leaders: Stop Confusing Correlation with Causation
By: Michael Luca
We’ve all been told that correlation does not imply causation. Yet many business leaders, elected officials, and media outlets still make causal claims based on misleading correlations. These claims are too often unscrutinized, amplified, and mistakenly used to guide...
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- November 2021 (Revised December 2021)
- Supplement
PittaRosso (B): Human and Machine Learning
By: Ayelet Israeli
This case supplements the "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion" case, and provides major highlights on what happened at the company since the first case.
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Keywords:
Artificial Intelligence;
Pricing;
Pricing Algorithm;
Pricing Decisions;
Pricing Strategy;
Pricing Structure;
Promotion;
Promotions;
Online Marketing;
Data-driven Decision-making;
Data-driven Management;
Retail;
Retail Analytics;
Price;
Advertising Campaigns;
Analytics and Data Science;
Analysis;
Digital Marketing;
Budgets and Budgeting;
Marketing Strategy;
Marketing;
Transformation;
Decision Making;
AI and Machine Learning;
Retail Industry;
Italy
- October 2021 (Revised February 2022)
- Case
Newsweek: Driving a Digital First Strategy
By: Lynda M. Applegate and Suraj Srinivasan
The case describes the transformation at Newsweek, the storied news magazine that had fallen from its commanding position as a premier print publication unable to find its footing in the fast changing digital media landscape. After buying Newsweek and taking over as...
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- October 2021
- Case
CrisisReady: Private Data for Public Good
By: Tarun Khanna and James Barnett
In October 2021, CRISISREADY.io considers how and if it should scale operations.
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- October 2021 (Revised March 2022)
- Supplement
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli and Fabrizio Fantini
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once...
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Keywords:
Artificial Intelligence;
Pricing;
Pricing Algorithm;
Pricing Decisions;
Pricing Strategy;
Pricing Structure;
Promotion;
Promotions;
Online Marketing;
Data-driven Decision-making;
Data-driven Management;
Retail;
Retail Analytics;
Price;
Advertising Campaigns;
Analytics and Data Science;
Analysis;
Digital Marketing;
Budgets and Budgeting;
Marketing Strategy;
Marketing;
Transformation;
Decision Making;
Retail Industry;
Italy