Publications
Publications
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- All HBS Web
(1,980)
- Faculty Publications (516)
- January 2020
- Case
Kaggle 2019 Data Science Survey
By: Yael Grushka-Cockayne, Michael Parzen, Paul Hamilton and Steven Randazzo
- January 2020 (Revised July 2020)
- Supplement
MoviePass: The 'Get Big Fast' Strategy
By: Benjamin C. Esty and Daniel Fisher
In August 2017, MoviePass dramatically lowered its subscription price from $50 per month to just $10 for up to one movie per day. The idea was to rapidly scale the business to the point where they could generate incremental revenue streams form related businesses... View Details
Keywords: Market Entry; Growth Strategy; Profit Vs. Growth; Subscription Business; Cash Burn; Data Analytics; Get-big-fast; Buyer Power; Strategy Implementation; Movie Industry; Racing; Business Strategy; Value Creation; Consolidation; Cash Flow; Growth Management; Business Startups; Entrepreneurship; Disruptive Innovation; Mobile Technology; Motion Pictures and Video Industry; Motion Pictures and Video Industry; Motion Pictures and Video Industry; Motion Pictures and Video Industry; United States
- 2020
- Article
Assessing the Impact of Big Data on Firm Innovation Performance: Big Data is not Always Better Data
By: Maryam Ghasemaghaei and Goran Calic
In this study, we explore the impacts of big data’s main characteristics (i.e., volume, variety, and velocity) on innovation performance (i.e., innovation efficacy and efficiency), which eventually impacts firm performance (i.e., customer perspective, financial... View Details
- 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
- May 2020
- Article
Scalable Holistic Linear Regression
By: Dimitris Bertsimas and Michael Lingzhi Li
We propose a new scalable algorithm for holistic linear regression building on Bertsimas & King (2016). Specifically, we develop new theory to model significance and multicollinearity as lazy constraints rather than checking the conditions iteratively. The resulting... View Details
- 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
- November 2019 (Revised January 2020)
- Case
Bayer Crop Science
By: David E. Bell, Damien McLoughlin, Natalie Kindred and James Barnett
In mid-2019, a year after German conglomerate Bayer Group closed its acquisition of U.S.-based seeds giant Monsanto, the leadership of Bayer’s Crop Science division (which absorbed Monsanto) is reflecting on the opportunities ahead. Some observers have questioned... View Details
- 2019
- Article
Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights
By: Maryam Ghasemaghaei and Goran Calic
Grounded in gestalt insight learning theory and organizational learning theory, we collected data from 280 middle and top-level managers to investigate the impact of each big data characteristic (i.e., data volume, data velocity, data variety, and data veracity) on... View Details
- September 2019 (Revised August 2020)
- Case
Engineering an Inclusive Bioeconomy
By: Tarun Khanna, Raffaella Sadun and Susie L. Ma
In 2019, entrepreneur Juan Carlos Castilla-Rubio was developing a project he hoped could generate and share wealth from the natural resources of the Amazon without destroying those resources. His idea, called Earth Bank of Codes (EBC), would create a library of the... View Details
Keywords: Decision Making; Development Economics; Entrepreneurship; Innovation and Invention; Intellectual Property; Emerging Markets; Market Design; Marketplace Matching; Science; Genetics; Natural Environment; Environmental Sustainability; Climate Change; Social Enterprise; Strategy; Strategic Planning; Information Technology; Ownership; Social Psychology; Trust; Society; Biotechnology Industry; South America; Amazon Basin
- September 2019
- Case
Starling Trust Sciences: Measuring Trust in Organizations
By: Aiyesha Dey, Jonas Heese and James Weber
Stephen Scott needed to decide whether to keep his behavioral analytics startup in the people analytics sector or shift his company into the RegTech sector. Starling had develop technology that enabled its customers to anticipate and shape the behavior of their... View Details
- Article
Advancing Computational Biology and Bioinformatics Research Through Open Innovation Competitions
By: Andrea Blasco, Michael G. Endres, Rinat A. Sergeev, Anup Jonchhe, Max Macaluso, Rajiv Narayan, Ted Natoli, Jin H. Paik, Bryan Briney, Chunlei Wu, Andrew I. Su, Aravind Subramanian and Karim R. Lakhani
Open data science and algorithm development competitions offer a unique avenue for rapid discovery of better computational strategies. We highlight three examples in computational biology and bioinformatics research where the use of competitions has yielded significant... View Details
- August 2019 (Revised February 2020)
- Teaching Note
Sidewalk Labs: Privacy in a City Built from the Internet Up
By: Leslie John and Mitch Weiss
Email mking@hbs.edu for a courtesy copy.
The case serves as a microcosm of issues of digital privacy: the availability of data – personal data in particular – has tremendous potential to improve people’s lives... View Details
The case serves as a microcosm of issues of digital privacy: the availability of data – personal data in particular – has tremendous potential to improve people’s lives... View Details
- 2019
- Working Paper
The Impact of Professionals' Contributions to Online Knowledge Communities on Their Workplace Knowledge Work
By: Hila Lifshitz - Assaf and Frank Nagle
Knowledge work is becoming increasingly challenging as pace of change in the knowledge frontier is increasing. Organizations have created multiple mechanisms to minimize knowledge gaps and increase learning such internal training, mentorship programs as well as... View Details
- August 2019
- Case
Bark Gift Shop Ltd.
By: Susanna Gallani, Jan Bouwens and Peter Kroos
This case describes a setting in which the CFO of Bark Gift Shop Ltd., a gift items retailer, discovers an undesired pattern in the performance data suggesting that her shop managers that perform well during the first part of the year, purposely reduce their effort in... View Details
- 2019
- Article
History, Micro Data, and Endogenous Growth
By: Ufuk Akcigit and Tom Nicholas
The study of economic growth is concerned with long-run changes, and therefore, historical data should be especially influential in informing the development of new theories. In this review, we draw on the recent literature to highlight areas in which study of history... View Details
- July 2019
- Article
Using Behavioral Science to Inform the Design of Sugary Drink Portion Limit Policies: Reply to Wilson and Stolarz-Fantino (2018)
By: Leslie John, Grant E. Donnelly and Christina A. Roberto
In their commentary, Wilson & Stolarz-Fantino argue that specific design features of our research mean that it cannot have policy implications and that researchers “need to consider profit maximization in menu design or studies are likely to suggest ill-informed... View Details
- May 2019
- Teaching Note
Data Science at Target
By: Srikant M. Datar and Caitlin N. Bowler
Teaching Note for HBS No. 118-016. View Details
- 2019
- Article
Can Big Data Improve Firm Decision Quality? The Role of Data Quality and Data Diagnosticity
By: Maryam Ghasemaghaei and Goran Calic
Anecdotal evidence suggests that, despite the large variety of data, the huge volume of generated data, and the fast velocity of obtaining data (i.e., big data), quality of big data is far from perfect. Therefore, many firms defer collecting and integrating big data as... View Details
- 2019
- 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
Fintech, Small Business & the American Dream describes the needs of small businesses for capital and demonstrates how technology—novel data sources, artificial intelligence, machine learning—will transform the small business lending market. This market has been... View Details
Keywords: Fintech; Big Data; Data; Technology; Artificial Intelligence; Great Recession; Regulation; Innovation; Banks; Lending; Loans; Access To Capital; American Dream; Community Banking; Small Business Administration; Entrepreneur; Government; Public Policy; API; Policy Making; Small Business; Financing and Loans; Technological Innovation; Financial Crisis; Banks and Banking; Governing Rules, Regulations, and Reforms; Policy; AI and Machine Learning; Analytics and Data Science; United States
- Article
Four Things No One Will Tell You About ESG Data
By: Sakis Kotsantonis and George Serafeim
As the ESG finance field and the use of ESG data in investment decision-making continue to grow, the authors seek to shed light on several important aspects of ESG measurement and data. This article is intended to provide a useful guide for the rapidly rising number of... View Details
Keywords: ESG; ESG (Environmental, Social, Governance) Performance; ESG Reporting; Data Analytics; Sustainability; Sustainability Reporting; CSR; Transparency; Investment Management; Socially Responsible Investing; Sustainable Finance; Sustainable Development; Inclusion; Inclusive Growth; Corporate Social Responsibility and Impact; Corporate Accountability; Investment; Management; Climate Change; Corporate Governance; Diversity; Integrated Corporate Reporting