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All HBS Web
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- Faculty Publications (501)
- 2017
- Book
Entering StartUpLand: An Essential Guide to Finding the Right Job
Many professionals aspire to work for startups. Executives from large companies view them as models to help them adapt to today's dynamic innovation economy, while freshly minted MBAs see magic in founding something new. Yes, startups look magical, but they can also be...
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Bussgang, Jeffrey J. Entering StartUpLand: An Essential Guide to Finding the Right Job. Boston: Harvard Business Review Press, 2017.
- August 2017 (Revised September 2018)
- Case
Accounting Turbulence at Boeing
By: Jonas Heese, Suraj Srinivasan, David Lane and James Barnett
Unlike its rival Airbus, Boeing had used a practice called program accounting to record its commercial aircraft expenses since the 1980s. Program accounting allowed Boeing to expense estimated average costs instead of the actual production costs of an aircraft. This...
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Keywords:
Asset Recognition;
Program Accounting;
Airline Industry;
Accounting;
Production;
Cost;
Air Transportation Industry
Heese, Jonas, Suraj Srinivasan, David Lane, and James Barnett. "Accounting Turbulence at Boeing." Harvard Business School Case 118-020, August 2017. (Revised September 2018.)
- August 2017 (Revised July 2019)
- Case
GROW: Using Artificial Intelligence to Screen Human Intelligence
By: Ethan Bernstein, Paul McKinnon and Paul Yarabe
Over 10% of all 2017 university graduates in Japan used GROW, an artificial intelligence platform and mobile app developed by Tokyo-based people analytics startup IGS, to recruit for a job. This case puts participants in the shoes of IGS founder and CEO Masahiro...
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Keywords:
Big Data;
Artificial Intelligence;
Talent and Talent Management;
Recruitment;
Selection and Staffing;
Human Resources;
Information Technology;
AI and Machine Learning;
Analytics and Data Science;
Financial Services Industry;
Air Transportation Industry;
Advertising Industry;
Manufacturing Industry;
Technology Industry;
Japan
Bernstein, Ethan, Paul McKinnon, and Paul Yarabe. "GROW: Using Artificial Intelligence to Screen Human Intelligence." Harvard Business School Case 418-020, August 2017. (Revised July 2019.)
- August 2017 (Revised December 2018)
- Case
Tamarin App: Natural Language Processing
By: Srikant M. Datar and Caitlin N. Bowler
In this case, students explore the challenges of using sentiment analysis to monitor and understand public perception around a software application, Tamarin SEO App. Technical topics include building a filtering classifier using naive Bayes and sentiment analysis This...
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Keywords:
Data Science;
Branding;
Data Analytics;
Analytics and Data Science;
Brands and Branding;
Analysis;
Perception;
Planning
Datar, Srikant M., and Caitlin N. Bowler. "Tamarin App: Natural Language Processing." Harvard Business School Case 118-015, August 2017. (Revised December 2018.)
- August 2017 (Revised August 2018)
- Case
Busbud: Building a Data Company
By: Srikant M. Datar, Alistair Croll and Caitlin N. Bowler
The case features the work of LP Maurice (HBS '08) as he decides to take on the fragmented bus travel industry and launch an online business that aggregates and shares bus schedules for routes around the world. His first challenge: finding that the data he needs is...
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Keywords:
Data Science;
Analytics and Data Science;
Business Startups;
Knowledge Acquisition;
Customers;
Measurement and Metrics;
Transportation Industry
Datar, Srikant M., Alistair Croll, and Caitlin N. Bowler. "Busbud: Building a Data Company." Harvard Business School Case 118-011, August 2017. (Revised August 2018.)
- 14 Aug 2017
- Conference Presentation
A Convex Framework for Fair Regression
By: Richard Berk, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel and Aaron Roth
We introduce a flexible family of fairness regularizers for (linear and logistic) regression problems. These regularizers all enjoy convexity, permitting fast optimization, and they span the range from notions of group fairness to strong individual fairness. By varying...
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Berk, Richard, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel, and Aaron Roth. "A Convex Framework for Fair Regression." Paper presented at the 4th Workshop on Fairness, Accountability, and Transparency in Machine Learning, Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), August 14, 2017.
- 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...
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Keywords:
Data Analysis;
Metrics;
Data Science;
Analytics and Data Science;
Analysis;
Measurement and Metrics;
Competitive Strategy;
Organizational Culture;
Sports Industry
Datar, Srikant M., and Caitlin N. Bowler. "The Oakland Athletics: Strategy & Metrics for a Budget." Harvard Business School Case 118-010, August 2017. (Revised August 2018.)
- June 2017
- Teaching Note
IBM Transforming, 2012–2016: Ginni Rometty Steers Watson
By: Rosabeth Moss Kanter and Jonathan Cohen
Ginni Rometty, who became IBM CEO in 2012, led efforts to transform the company around cognitive computing and the AI platform Watson. This Teaching Note helps instructors understand and teach the Harvard Business School case “IBM Transforming, 2012–2016: Ginni Rometty...
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- May 2017
- Supplement
Boston Children's Hospital Process Map Video
By: Robert S. Kaplan and Mary Witkowski
The 13 minute video simulates a discussion among orthopedic surgeons and cast room technicians about the processes and resources used when applying long leg casts for patients. The video should be used when teaching Boston Children’s Hospital (Abridged) case, #914-407,...
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Keywords:
Activity Based Costing;
Healthcare Costing;
Process Maps;
Activity Based Costing and Management;
Health Care and Treatment
Kaplan, Robert S., and Mary Witkowski. "Boston Children's Hospital Process Map Video." Harvard Business School Multimedia/Video Supplement 117-703, May 2017.
- April 2017
- Case
The Future of Patent Examination at the USPTO
By: Prithwiraj Choudhury, Tarun Khanna and Sarah Mehta
The U.S. Patent and Trademark Office (USPTO) is the federal government agency responsible for evaluating and granting patents and trademarks. In 2015, the USPTO employed approximately 8,000 patent examiners who granted nearly 300,000 patents to inventors. As of April...
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Keywords:
Machine Learning;
Telework;
Collaborating With Unions;
Human Resources;
Recruitment;
Retention;
Intellectual Property;
Copyright;
Patents;
Trademarks;
Knowledge Sharing;
Technology Adoption;
Organizational Change and Adaptation;
Performance Productivity;
Performance Improvement;
District of Columbia
Choudhury, Prithwiraj, Tarun Khanna, and Sarah Mehta. "The Future of Patent Examination at the USPTO." Harvard Business School Case 617-027, April 2017.
- April 2017
- Case
Yushan Bicycles: Learning to Ride Abroad
By: Christopher A. Bartlett and Paul S. Myers
Yushan Bicycles, one of Taiwan's leading bicycle manufacturers, is pursuing an international expansion strategy by increasing demand for its range of traditional and electric bicycles and shifting its product mix toward higher-margin models sold through specialty...
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Keywords:
Globalized Firms and Management;
Growth and Development Strategy;
Competitive Strategy;
Conflict Management;
Learning;
Bicycle Industry;
Taiwan;
Australia
Bartlett, Christopher A., and Paul S. Myers. "Yushan Bicycles: Learning to Ride Abroad." Harvard Business School Brief Case 917-539, April 2017.
- March 2017
- Supplement
Donna Dubinsky, Numenta and Artificial Intelligence
By: David B. Yoffie
Donna Dubinsky, CEO of Numenta, discusses her views of the future of artificial intelligence and the strategic challenges of building a new platform.
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Keywords:
Artificial Intelligence;
Strategy;
Technological Change;
AI and Machine Learning;
Technology Industry
Yoffie, David B. "Donna Dubinsky, Numenta and Artificial Intelligence." Harvard Business School Multimedia/Video Supplement 717-807, March 2017.
- Article
Why Boards Aren't Dealing with Cyberthreats
By: J. Yo-Jud Cheng and Boris Groysberg
Cheng, J. Yo-Jud, and Boris Groysberg. "Why Boards Aren't Dealing with Cyberthreats." Harvard Business Review (website) (February 22, 2017). (Excerpt featured in the Harvard Business Review. May–June 2017 "Idea Watch" section.)
- January 2017 (Revised March 2017)
- Case
IBM Transforming, 2012–2016: Ginni Rometty Steers Watson
By: Rosabeth Moss Kanter and Jonathan Cohen
To transform IBM for the next technology wave, Ginni Rometty, who became CEO in 2012, led divestment of declining businesses, made acquisitions in digital innovation and cloud computing, formed partnerships with former competitors such as Apple and tech startups, and...
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Keywords:
Digital;
Technological Change;
Artificial Intelligence;
Data;
IBM;
Watson;
Internet Of Things;
Innovation and Invention;
Management;
Sales;
Information Technology;
Technological Innovation;
Transformation;
AI and Machine Learning
Kanter, Rosabeth Moss, and Jonathan Cohen. "IBM Transforming, 2012–2016: Ginni Rometty Steers Watson." Harvard Business School Case 317-046, January 2017. (Revised March 2017.)
- November 2016 (Revised March 2018)
- Module Note
Strategy Execution Module 9: Building a Balanced Scorecard
By: Robert Simons
This module reading explains how to construct a strategy map and build a balanced scorecard. Using an internal value chain model, the module illustrates how a balanced scorecard can support and enable customer management, innovation, operations, and post-sale service...
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Keywords:
Management Control Systems;
Implementing Strategy;
Execution;
Performance Measurement;
Strategy Map;
Business Goals;
Customer Measures;
Strategy;
Balanced Scorecard;
Business Model
Simons, Robert. "Strategy Execution Module 9: Building a Balanced Scorecard." Harvard Business School Module Note 117-109, November 2016. (Revised March 2018.)
- 18 Nov 2016
- Conference Presentation
Rawlsian Fairness for Machine Learning
By: Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel and Aaron Leon Roth
Motivated by concerns that automated decision-making procedures can unintentionally lead to discriminatory behavior, we study a technical definition of fairness modeled after John Rawls' notion of "fair equality of opportunity". In the context of a simple model of...
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Joseph, Matthew, Michael J. Kearns, Jamie Morgenstern, Seth Neel, and Aaron Leon Roth. "Rawlsian Fairness for Machine Learning." Paper presented at the 3rd Workshop on Fairness, Accountability, and Transparency in Machine Learning, Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), November 18, 2016.
- 2017
- Working Paper
Self-Employment Dynamics and the Returns to Entrepreneurship
By: Eleanor W. Dillon and Christopher T. Stanton
Small business owners and others in self-employment have the option to transition to paid work. If there is initial uncertainty about entrepreneurial earnings, this option increases the expected lifetime value of self-employment relative to pay in a single year. This...
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Keywords:
Self-employed;
Small Business;
Business Earnings;
Entrepreneurship;
Ownership;
Compensation and Benefits
Dillon, Eleanor W., and Christopher T. Stanton. "Self-Employment Dynamics and the Returns to Entrepreneurship." Harvard Business School Working Paper, No. 17-022, September 2016. (Revised March 2018.)
- July 2016
- Case
Spotify
By: Anita Elberse and Alexandre de Pfyffer
In November 2014, Spotify's chief content officer Ken Parks learns that record label Big Machine Records has requested the immediate removal of superstar artist Taylor Swift's entire catalogue from Spotify's music streaming service. Is it time for Spotify to reconsider...
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Keywords:
Entertainment;
Marketing;
Superstar;
Music;
Entertainment Marketing;
Media;
Digital Technology;
Creative Industries;
Product Portfolio Management;
General Management;
Management;
Strategy;
Internet and the Web;
Open Source Distribution;
Creativity;
Music Entertainment;
Product Marketing;
Music Industry
Elberse, Anita, and Alexandre de Pfyffer. "Spotify." Harvard Business School Case 516-046, July 2016.
- June 2016 (Revised August 2019)
- Case
Numenta: Inventing and (or) Commercializing AI
By: David B. Yoffie, Liz Kind and David Ben Shimol
In March 2016, Donna Dubinsky (co-founder and CEO) and Jeff Hawkins (co-founder) were struggling with a key question: Could Numenta be successful in both creating fundamental technology and building a commercial business? Located in Redwood City, CA, Numenta was...
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Keywords:
Artificial Intelligence;
Machine Intelligence;
Machine Learning;
Strategy;
Business Model;
Entrepreneurship;
Information;
Technological Innovation;
Research;
Research and Development;
Information Technology;
Applications and Software;
Technology Adoption;
Digital Platforms;
Commercialization;
AI and Machine Learning
Yoffie, David B., Liz Kind, and David Ben Shimol. "Numenta: Inventing and (or) Commercializing AI." Harvard Business School Case 716-469, June 2016. (Revised August 2019.)
- Article
Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy
By: Edward Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca
The proliferation of big data makes it possible to better target city services like hygiene inspections, but city governments rarely have the in-house talent needed for developing prediction algorithms. Cities could hire consultants, but a cheaper alternative is to...
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Keywords:
User-generated Content;
Operations;
Tournaments;
Policy-making;
Machine Learning;
Online Platforms;
Analytics and Data Science;
Mathematical Methods;
City;
Infrastructure;
Business Processes;
Government and Politics
Glaeser, Edward, Andrew Hillis, Scott Duke Kominers, and Michael Luca. "Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy." American Economic Review: Papers and Proceedings 106, no. 5 (May 2016): 114–118.