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- All HBS Web
(4,242)
- Faculty Publications (790)
- Article
Signing at the Beginning vs at the End Does Not Decrease Dishonesty
By: Ariella S. Kristal, A.V. Whillans, Max Bazerman, Francesca Gino, Lisa Shu, Nina Mazar and Dan Ariely
Honest reporting is essential for society to function well. However, people frequently lie when asked to provide information, such as misrepresenting their income to save money on taxes. A landmark finding published in PNAS (Shu, Mazar, Gino, Ariely, and Bazerman,... View Details
Kristal, Ariella S., A.V. Whillans, Max Bazerman, Francesca Gino, Lisa Shu, Nina Mazar, and Dan Ariely. "Signing at the Beginning vs at the End Does Not Decrease Dishonesty." Proceedings of the National Academy of Sciences 117, no. 13 (March 31, 2020): 7103–7107.
- March 2020
- Case
Sizmek Chapter 11: Surviving Walled Gardens in Their Ad Tech Empire
By: Ayelet Israeli, Danilo Tauro and Sarah Gulick
This case provides a post-mortem of the advertising technology (adtech) company Sizmek. Sizmek grew via multiple acquisitions, with the vision of becoming an integrated adtech company that could leverage AI to buy digital media, while creating and serving display and... View Details
Keywords: Digital Marketing; Insolvency and Bankruptcy; Mergers and Acquisitions; Applications and Software; Internet and the Web; Competition; Marketing; Advertising Industry; Web Services Industry; United States; Europe
Israeli, Ayelet, Danilo Tauro, and Sarah Gulick. "Sizmek Chapter 11: Surviving Walled Gardens in Their Ad Tech Empire." Harvard Business School Case 520-087, March 2020.
- Article
Innovation Contests for High-Tech Procurement
By: Jin Hyun Paik, Martin Scholl, Rinat A. Sergeev, Steven Randazzo and Karim R. Lakhani
Innovation managers rarely use crowdsourcing as an innovative instrument despite extensive academic and theoretical research. The lack of tools available to compare and measure crowdsourcing, specifically contests, against traditional methods of procuring goods and... View Details
Keywords: Open Innovation; Contests; Crowdsourcing; Nasa; Evaluation; Acquisition; Information Technology; Innovation and Invention; Performance Evaluation; Framework
Hyun Paik, Jin, Martin Scholl, Rinat A. Sergeev, Steven Randazzo, and Karim R. Lakhani. "Innovation Contests for High-Tech Procurement." Research-Technology Management 63, no. 2 (March–April 2020): 36–45.
- 2020
- Working Paper
A General Theory of Identification
By: Iavor Bojinov and Guillaume Basse
What does it mean to say that a quantity is identifiable from the data? Statisticians seem to agree
on a definition in the context of parametric statistical models — roughly, a parameter θ in a model
P = {Pθ : θ ∈ Θ} is identifiable if the mapping θ 7→ Pθ is injective.... View Details
Bojinov, Iavor, and Guillaume Basse. "A General Theory of Identification." Harvard Business School Working Paper, No. 20-086, February 2020.
- February 2020
- Technical Note
Talent Management and the Future of Work
By: William R. Kerr and Gorick Ng
The nature of work is changing—and it is changing rapidly. Few days go by without industry giants such as Amazon and AT&T announcing plans to invest billions of dollars towards retraining nearly half of their respective workforces for jobs of the future. What changes... View Details
Keywords: Human Resource Management; Human Capital Development; Human Resource Practices; Talent; Talent Acquisition; Talent Development; Talent Development And Retention; Talent Management; Talent Retention; Labor Flows; Labor Management; Labor Market; Strategy Development; Strategy Management; Strategy Execution; Strategy And Execution; Strategic Change; Transformations; Organization; Organization Alignment; Organization Design; Organizational Adaptation; Organizational Effectiveness; Management Challenges; Management Of Business And Political Risk; Change Leadership; Future Of Work; Future; Skills Gap; Skills Development; Skills; Offshoring And Outsourcing; Investment; Capital Allocation; Work; Work Culture; Work Force Management; Work/life Balance; Work/family Balance; Work-family Boundary Management; Workers; Worker Productivity; Worker Performance; Work Engagement; Work Environment; Work Environments; Productivity; Organization Culture; Soft Skills; Technology Management; Technological Change; Technological Change: Choices And Consequences; Technology Diffusion; Disruptive Technology; Global Business; Global; Workplace; Workplace Context; Workplace Culture; Workplace Wellness; Collaboration; Competencies; Productivity Gains; Digital; Digital Transition; Competitive Dynamics; Competitiveness; Competitive Strategy; Data Analytics; Data; Data Management; Data Strategy; Data Protection; Aging Society; Diversity; Diversity Management; Millennials; Communication Complexity; Communication Technologies; International Business; Work Sharing; Global Competitiveness; Global Corporate Cultures; Intellectual Property; Intellectual Property Management; Intellectual Property Protection; Intellectual Capital And Property Issues; Globalization Of Supply Chain; Inequality; Recruiting; Hiring; Hiring Of Employees; Training; Job Cuts And Outsourcing; Job Performance; Job Search; Job Design; Job Satisfaction; Jobs; Employee Engagement; Employee Attitude; Employee Benefits; Employee Compensation; Employee Fairness; Employee Relationship Management; Employee Retention; Employee Selection; Employee Motivation; Employee Feedback; Employee Coordination; Employee Performance Management; Employee Socialization; Process Improvement; Application Performance Management; Stigma; Institutional Change; Candidates; Digital Enterprise; Cultural Adaptation; Cultural Change; Cultural Diversity; Cultural Context; Cultural Strategies; Cultural Psychology; Cultural Reform; Performance; Performance Effectiveness; Performance Management; Performance Evaluation; Performance Appraisal; Performance Feedback; Performance Measurement; Performance Metrics; Performance Measures; Performance Efficiency; Efficiency; Performance Analysis; Performance Appraisals; Performance Improvement; Automation; Artificial Intelligence; Technology Companies; Managerial Processes; Skilled Migration; Assessment; Human Resources; Management; Human Capital; Talent and Talent Management; Retention; Demographics; Labor; Strategy; Change; Change Management; Transformation; Organizational Change and Adaptation; Organizational Culture; Working Conditions; Information Technology; Technology Adoption; Disruption; Economy; Competition; Globalization; AI and Machine Learning; Digital Transformation
Kerr, William R., and Gorick Ng. "Talent Management and the Future of Work." Harvard Business School Technical Note 820-084, 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
- 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 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.
- 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.
- September 2019 (Revised February 2020)
- Teaching Note
Fishbowl: Scaling Up
By: Leslie K. John
Email mking@hbs.edu for a courtesy copy.
Teaching Note for HBS No. 919-013. Fishbowl is a social media app that allows professionals to connect with other relevant professionals both within their company and... View Details
Teaching Note for HBS No. 919-013. Fishbowl is a social media app that allows professionals to connect with other relevant professionals both within their company and... View Details
Keywords: Communication Technologies; Customer Value; Value Chain; Interpersonal Communication; Talent and Talent Management; Customer Value and Value Chain; Entrepreneurship; Business Model; Growth and Development Strategy; Marketing Strategy; Advertising; Product Marketing; Digital Platforms; Consumer Behavior; Network Effects; Emotions; Motivation and Incentives; Trust; Applications and Software; Technology Adoption; Digital Platforms; Communications Industry; Employment Industry; Media and Broadcasting Industry; Technology Industry; Telecommunications Industry; United States
John, Leslie K. "Fishbowl: Scaling Up." Harvard Business School Teaching Note 920-022, September 2019. (Revised February 2020.) (Email mking@hbs.edu for a courtesy copy.)
- 2018
- Article
Threat of Platform-Owner Entry and Complementor Responses: Evidence from the Mobile App Market
By: Wen Wen and Feng Zhu
We examine how app developers on the Android mobile platform adjust their innovation efforts (rate and direction) and value-capture strategies in response to Google’s entry threat and actual entry into their markets. We find that, after Google’s entry threat increases,... View Details
Keywords: Platform-owner Entry; Entry Threat; Innovation; Complementors; Mobile App Industry; Digital Platforms; Mobile and Wireless Technology; Market Entry and Exit; Price; Innovation and Invention; Applications and Software
Wen, Wen, and Feng Zhu. "Threat of Platform-Owner Entry and Complementor Responses: Evidence from the Mobile App Market." Strategic Management Journal 40, no. 9 (September 2019): 1336–1367.