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- All HBS Web
(5,585)
- Faculty Publications (1,112)
- February 2020
- Teaching Note
Amanda Tremblay at Citrine Software Solutions Teaching Note (Brief Case)
By: Christopher A. Bartlett and Paul S. Myers
- January–February 2020
- Article
Competing in the Age of AI
By: Marco Iansiti and Karim R. Lakhani
Today’s markets are being reshaped by a new kind of firm—one in which artificial intelligence (AI) runs the show. This cohort includes giants like Google, Facebook, and Alibaba, and growing businesses such as Wayfair and Ocado. Every time we use their services, the... View Details
Keywords: Artificial Intelligence; Algorithms; Technological Innovation; Business Model; Competition; Competitive Strategy; AI and Machine Learning
Iansiti, Marco, and Karim R. Lakhani. "Competing in the Age of AI." Harvard Business Review 98, no. 1 (January–February 2020): 60–67.
- 2020
- Book
Experimentation Works: The Surprising Power of Business Experiments
By: Stefan Thomke
Don’t fly blind. See how the power of experiments works for you. When it comes to improving customer experiences, trying out new business models, or developing new products, even the most experienced managers often get it wrong. They discover that intuition,... View Details
Keywords: Experimentation; Experiments; Market Research; Innovation and Invention; Innovation and Management; Customers; Research
Thomke, Stefan. Experimentation Works: The Surprising Power of Business Experiments. Boston, MA: Harvard Business Review Press, 2020.
- 2020
- White Paper
Vulnerabilities in the Core: Preliminary Report and Census II of Open Source Software
By: Frank Nagle, Jessica Wilkerson, James Dana and Jennifer L. Hoffman
Nagle, Frank, Jessica Wilkerson, James Dana, and Jennifer L. Hoffman. "Vulnerabilities in the Core: Preliminary Report and Census II of Open Source Software." Linux Foundation Core Infrastructure Initiative, Linux Foundation, February 2020.
- January 2020
- Case
Banorte Móvil: Data-Driven Mobile Growth
By: Ayelet Israeli, Carla Larangeira and Mariana Cal
In mid-2019, Carlos Hank was deliberating over the results for Banorte Móvil—the mobile application for Banorte, Mexico’s most profitable and second-largest financial institution. Hank, who had been appointed as Banorte´s Chairman of the Board in January 2015, had... View Details
Keywords: Data Analytics; Customer Lifetime Value; Financial Institutions; Mobile and Wireless Technology; Growth and Development Strategy; Customers; Technology Adoption; Communication Strategy; Banking Industry; Mexico; Latin America
Israeli, Ayelet, Carla Larangeira, and Mariana Cal. "Banorte Móvil: Data-Driven Mobile Growth." Harvard Business School Case 520-068, January 2020.
- January 2020
- Case
The June Oven
By: Leonard A. Schlesinger and Christian Godwin
The June Oven was a smart oven which was capable of identifying food and cooking it accordingly. This type of smart oven represented the next step in the long history of oven and stove development. Due to the widespread use of traditional ovens, the market for the June... View Details
Keywords: Business Ventures; Trends; Customers; Design; Entrepreneurship; Food; Goods and Commodities; Innovation and Invention; Marketing; Brands and Branding; Demand and Consumers; Distribution; Product Development; Sales; Information Technology; Internet and the Web; Applications and Software; Consumer Products Industry; Retail Industry; Technology Industry; Electronics Industry; Manufacturing Industry; United States
Schlesinger, Leonard A., and Christian Godwin. "The June Oven." Harvard Business School Case 320-067, January 2020.
- Article
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving... View Details
Keywords: Autoencoder Networks; Pattern Detection; Subset Scanning; Computer Vision; Statistical Methods And Machine Learning; Machine Learning; Deep Learning; Data Mining; Big Data; Large-scale Systems; Mathematical Methods; Analytics and Data Science
Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error." Proceedings of the International Joint Conference on Artificial Intelligence 29th (2020).
- December 2019
- Technical Note
Technical Note on Bayesian Statistics and Frequentist Power Calculations
By: Amitabh Chandra and Ariel Dora Stern
This Technical Note provides an introduction to Bayes’ Rule and the statistical intuition that stems from it. In this note, we review the concepts that underlie Bayesian statistics, and we offer several simple mathematical examples to illustrate applications of Bayes’... View Details
Chandra, Amitabh, and Ariel Dora Stern. "Technical Note on Bayesian Statistics and Frequentist Power Calculations." Harvard Business School Technical Note 620-032, December 2019.
- December 2019 (Revised February 2024)
- Teaching Note
Ripple: The Business of Crypto and Ripple 2023
By: David B. Yoffie
The case explores Ripple CEO Brad Garlinghouse’s mission to disrupt the global payments industry by leveraging the cryptocurrency XRP. Students will learn about Bitcoin and the blockchain industry, as well as Ripple’s unique crypto business model. The case provides an... View Details
Keywords: Payment Systems; Cryptocurrency; Bitcoin; Blockchain; Fintech; Business Startups; Business Model; Disruption; Strategy
- December 2019
- Article
When Do We Punish People Who Don't?
By: Justin W. Martin, Jillian J. Jordan, David G. Rand and Fiery Cushman
People often punish norm violations. In what cases is such punishment viewed as normative—a behavior that we “should”or even“must”engage in? We approach this question by asking when people who fail to punish a norm violator are, themselves, punished. (For instance, a... View Details
Martin, Justin W., Jillian J. Jordan, David G. Rand, and Fiery Cushman. "When Do We Punish People Who Don't?" Cognition 193 (December 2019).
- November 2019
- Supplement
Innovation at Uber: The Launch of Express POOL
By: Chiara Farronato, Alan MacCormack and Sarah Mehta
This multimedia supplement accompanies the case “Innovation at Uber: the Launch of Express POOL” (case no. 619-003). Set in March 2018, the case follows ride-sharing company Uber as it develops and launches a new product called Express POOL. This multimedia supplement... View Details
Keywords: Innovation and Management; Innovation Leadership; Innovation Strategy; Technological Innovation; Information Technology; Mobile and Wireless Technology; Applications and Software; Digital Platforms; Technology Industry; California; San Francisco
Farronato, Chiara, Alan MacCormack, and Sarah Mehta. "Innovation at Uber: The Launch of Express POOL." Harvard Business School Multimedia/Video Supplement 620-702, November 2019.
- November 2019 (Revised May 2020)
- Case
Collibra
By: Lynda M. Applegate, Jeffrey F. Rayport and Julia Kelley
Founded in 2008 at Vrije Universiteit Brussels, Collibra was a data intelligence company that found product-market fit in the years after the global financial crisis when many companies were under pressure from consumers and governments to improve their data management... View Details
Keywords: Entrepreneurship; Governance; Innovation and Invention; Technological Innovation; Markets; Information Technology; Applications and Software; Technology Adoption; Digital Platforms; Internet and the Web; Customer Focus and Relationships; Customer Satisfaction; Expansion; Information Technology Industry; Technology Industry; Europe; Belgium; Brussels; North and Central America; United States; New York (city, NY); New York (state, US)
Applegate, Lynda M., Jeffrey F. Rayport, and Julia Kelley. "Collibra." Harvard Business School Case 820-013, November 2019. (Revised May 2020.)
- 2019
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 17 The Wintel Standards-based Platform
The purpose of this chapter is to use the theory of bottlenecks laid out in previous chapters to better understand the dynamics of an open standards-based platform. I describe how the Wintel platform evolved from 1990 through 2000 under joint sponsorship of Intel and... View Details
Keywords: Open Platforms; Bottlenecks; Wintel Platform; Disintermediation; Information Infrastructure; Applications and Software; Business History; Digital Platforms; Computer Industry
Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 17 The Wintel Standards-based Platform." Harvard Business School Working Paper, No. 20-055, November 2019.
- November 2019
- Case
DeepMap: Charting the Road Ahead for Autonomous Vehicles
By: Shane Greenstein and Nicole Tempest Keller
Founded in 2016, DeepMap developed high definition (HD) mapping software and localization services for Level 4+ autonomous vehicles. Traditional navigational maps were accurate to a few meters, which was sufficient for drivers but not for machine-driven vehicles that... View Details
Keywords: Mapping Software; Autonomous Vehicles; Business Startups; Applications and Software; Technological Innovation; Technology Adoption; Service Delivery; Global Range; Resource Allocation; Strategic Planning; Technology Industry; Auto Industry
Greenstein, Shane, and Nicole Tempest Keller. "DeepMap: Charting the Road Ahead for Autonomous Vehicles." Harvard Business School Case 620-047, November 2019.
- November 2019 (Revised February 2022)
- Teaching Note
Innovation at Uber: The Launch of Express POOL
By: Chiara Farronato and Sarah Mehta
Teaching Note for HBS No. 619-003. Set in March 2018, the Case follows ride-sharing company Uber as it develops and launches a new product called Express POOL. The Teaching Note offers guidance for instructors who wish to use the case either with or without its dataset... View Details
- 2019
- Working Paper
The Impact of the General Data Protection Regulation on Internet Interconnection
By: Ran Zhuo, Bradley Huffaker, KC Claffy and Shane Greenstein
The Internet comprises thousands of independently operated networks, where bilaterally negotiated interconnection agreements determine the flow of data between networks. The European Union’s General Data Protection Regulation (GDPR) imposes strict restrictions on... View Details
Keywords: Personal Data; Privacy Regulation; GDPR; Interconnection Agreements; Internet and the Web; Governing Rules, Regulations, and Reforms; European Union
Zhuo, Ran, Bradley Huffaker, KC Claffy, and Shane Greenstein. "The Impact of the General Data Protection Regulation on Internet Interconnection." NBER Working Paper Series, No. 26481, November 2019.
- October 14, 2019
- Article
The Truth About Open Offices: There Are Reasons Why They Don't Produce the Desired Interactions
By: Ethan Bernstein and Ben Waber
It’s never been easier for workers to collaborate—or so it seems. Open, flexible, activity-based spaces are displacing cubicles, making people more visible. Messaging is displacing phone calls, making people more accessible. Enterprise social media such as Slack and... View Details
Keywords: Buildings and Facilities; Interpersonal Communication; Communication Technology; Design; Human Resources; Performance Productivity; Organizational Design
Bernstein, Ethan, and Ben Waber. "The Truth About Open Offices: There Are Reasons Why They Don't Produce the Desired Interactions." Harvard Business Review 97, no. 6 (November–December 2019): 82–91.
- October 2019
- Case
Feeling Machines: Emotion AI at Affectiva
By: Shane Greenstein and John Masko
In 2016, Affectiva—a Boston-based emotion AI software company with a long track record of building emotion-sensing software for market research—had attempted to expand into new verticals by releasing a mobile software development kit (SDK) that downloaders could adapt... View Details
Keywords: Artificial Intelligence; Market Research; Business Model; Finance; Revenue; Decision Making; Risk and Uncertainty; Market Entry and Exit; Applications and Software; AI and Machine Learning; Information Technology Industry; Auto Industry; United States
Greenstein, Shane, and John Masko. "Feeling Machines: Emotion AI at Affectiva." Harvard Business School Case 620-058, October 2019.
- October 2019 (Revised June 2020)
- Supplement
Airbus vs. Boeing (M): MAX 8 Disasters (July 2019)
By: Ramon Casadesus-Masanell and Karen Elterman
This case describes the October 2018 and March 2019 crashes of Boeing MAX 8 jets, which together killed over 300 passengers. The planes involved in both crashes shared a problem with a software system called MCAS, which Boeing had revamped at the last minute prior to... View Details
Keywords: Airbus; Boeing; Product Development; Product Design; Air Transportation; Projects; Competition; Safety; Failure; Air Transportation Industry; Manufacturing Industry; United States; Europe
Casadesus-Masanell, Ramon, and Karen Elterman. "Airbus vs. Boeing (M): MAX 8 Disasters (July 2019)." Harvard Business School Supplement 720-388, October 2019. (Revised June 2020.)
- 2019
- Working Paper
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, improved medical diagnostics, and machine translation, but can it improve marketing decisions? It can. Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to rich media... View Details
Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Harvard Business School Working Paper, No. 20-036, September 2019.