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(1,491)
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- Faculty Publications (661)
Show Results For
- All HBS Web
(1,491)
- News (192)
- Research (1,061)
- Events (20)
- Multimedia (8)
- Faculty Publications (661)
- July 2021
- Article
Big Data for Social Benefits: Innovation as a Mediator of the Relationship between Big Data and Corporate Social Performance
By: Goran Calic and Maryam Ghasemaghaei
Over the last decade, the use big data in firms has seen a rapid increase. Whilst scholars have begun to unpack the relationship between big data utilisation and financial performance, significant uncertainty exists about the ethical uses of this new asset. Whether... View Details
Keywords: Analytics and Data Science; AI and Machine Learning; Performance Improvement; Organizational Change and Adaptation
Calic, Goran, and Maryam Ghasemaghaei. "Big Data for Social Benefits: Innovation as a Mediator of the Relationship between Big Data and Corporate Social Performance." Journal of Business Research 131 (July 2021): 391–401.
- 2021
- Working Paper
Corporate Environmental Impact: Measurement, Data and Information
By: David Freiberg, DG Park, George Serafeim and T. Robert Zochowski
As an organization’s environmental impact has become a central societal consideration, thereby affecting industry and organizational competitiveness, interest in measuring and analyzing environmental impact has increased. We develop a methodology to derive comparable... View Details
Keywords: Environment; Impact; Measurement; Environmental Ratings; Corporate Valuation; Financial Materiality; Sustainability; Environmental Impact; Environmental Strategy; Impact-Weighted Accounts; IWAI; Environmental Sustainability; Corporate Social Responsibility and Impact; Measurement and Metrics; Valuation
Freiberg, David, DG Park, George Serafeim, and T. Robert Zochowski. "Corporate Environmental Impact: Measurement, Data and Information." Harvard Business School Working Paper, No. 20-098, March 2020. (Revised February 2021.)
- September 2012
- Article
Bringing Science to the Art of Strategy
By: A. G. Lafley, Roger L. Martin, Jan W. Rivkin and Nicolaj Siggelkow
For all its emphasis on data and number crunching, conventional strategic planning is not actually scientific. It lacks the hypothesis generation and testing that's at the heart of the scientific method. To produce novel and successful strategies, teams need to adopt a... View Details
Lafley, A. G., Roger L. Martin, Jan W. Rivkin, and Nicolaj Siggelkow. "Bringing Science to the Art of Strategy." Harvard Business Review 90, no. 9 (September 2012).
- December 2011
- Article
Data Impediments to Empirical Work on Health Insurance Markets
By: Leemore S. Dafny, David Dranove, Frank Limbrock and Fiona Scott Morton
We compare four datasets that researchers might use to study competition in the health insurance industry. We show that the two datasets most commonly used to estimate market concentration differ considerably from each other (both in levels and in changes over time),... View Details
Dafny, Leemore S., David Dranove, Frank Limbrock, and Fiona Scott Morton. "Data Impediments to Empirical Work on Health Insurance Markets." B.E. Journal of Economic Analysis & Policy 11, no. 2 (December 2011).
- June 30, 2020
- Article
Scaling Up Behavioral Science Interventions in Online Education
By: Rene F. Kizilcec, Justin Reich, Michael Yeomans, Christoph Dann, Emma Brunskill, Glenn Lopez, Selen Turkay, Joseph J. Williams and Dustin Tingley
Online education is rapidly expanding in response to rising demand for higher and continuing education, but many online students struggle to achieve their educational goals. Several behavioral science interventions have shown promise in raising student persistence and... View Details
Keywords: Online Learning; Behavioral Interventions; Scale; Education; Online Technology; Performance Improvement
Kizilcec, Rene F., Justin Reich, Michael Yeomans, Christoph Dann, Emma Brunskill, Glenn Lopez, Selen Turkay, Joseph J. Williams, and Dustin Tingley. "Scaling Up Behavioral Science Interventions in Online Education." Proceedings of the National Academy of Sciences 117, no. 26 (June 30, 2020).
- November 1998
- Article
Modeling Large Data Sets in Marketing
By: Sridhar Balasubramanian, Sunil Gupta, Wagner Kamakura and Michel Wedel
Balasubramanian, Sridhar, Sunil Gupta, Wagner Kamakura, and Michel Wedel. "Modeling Large Data Sets in Marketing." Special Issue on Large Data Sets in Business Economics. Statistica Neerlandica 52, no. 3 (November 1998).
- Research Summary
Overview
Associate Professor Yael Grushka-Cockayne's research and teaching activities focus on data science, forecasting, project management, and behavioral decision-making. View Details
- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
- November 2023
- Article
Federated Electronic Health Records for the European Health Data Space
By: René Raab, Arne Küderle, Anastasiya Zakreuskaya, Ariel Dora Stern, Jochen Klucken, Georgios Kaissis, Daniel Rueckert, Susanne Boll, Roland Eils, Harald Wagener and Bjoern Eskofier
The European Commission's draft for the European Health Data Space (EHDS) aims to empower citizens to access their personal health data and share it with physicians and other health-care providers. It further defines procedures for the secondary use of electronic... View Details
Keywords: Analytics and Data Science; Cybersecurity; Information Management; Knowledge Sharing; Knowledge Use and Leverage; Health Industry
Raab, René, Arne Küderle, Anastasiya Zakreuskaya, Ariel Dora Stern, Jochen Klucken, Georgios Kaissis, Daniel Rueckert, Susanne Boll, Roland Eils, Harald Wagener, and Bjoern Eskofier. "Federated Electronic Health Records for the European Health Data Space." Lancet Digital Health 5, no. 11 (November 2023): e840–e847.
- 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. View Details
- Article
Mitigating Bias in Adaptive Data Gathering via Differential Privacy
By: Seth Neel and Aaron Leon Roth
Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated... View Details
Neel, Seth, and Aaron Leon Roth. "Mitigating Bias in Adaptive Data Gathering via Differential Privacy." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
- Fast Answer
Investing in Life Sciences - SIP Resources
href="https://www.library.hbs.edu/services/learn-with-baker-library#" target="_blank">Learn with Baker Library LSEG Workspace Introduction. Startup and Private company profiles: Pitchbook has detailed profiles on startups and other sponsor backed companies. Also... View Details
- Article
Some Uses of Happiness Data in Economics
By: Rafael Di Tella and Robert MacCulloch
Di Tella, Rafael, and Robert MacCulloch. "Some Uses of Happiness Data in Economics." Journal of Economic Perspectives 20, no. 1 (Winter 2006): 25–46.
- 2010
- Book
The New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance
By: Marshall Fisher and Ananth Raman
Retailers today are drowning in data but lacking in insight: They have huge volumes of information at their disposal. But they're unsure of how to sort through it and use it to make smart decisions. The result? They're struggling with profit-sapping supply chain... View Details
Keywords: Profit; Knowledge Use and Leverage; Logistics; Supply Chain Management; Mathematical Methods; Retail Industry
Fisher, Marshall, and Ananth Raman. The New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance. Harvard Business Press, 2010.
- May 2018
- Article
Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change
By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
Data from digital platforms have the potential to improve our understanding of gentrification and enable new measures of how neighborhoods change in close to real time. Combining data on businesses from Yelp with data on gentrification from the Census, Federal Housing... View Details
Keywords: Forecasting Models; Simulation Methods; Regional Economic Activity: Growth, Development, Environmental Issues, And Changes; Geographic Location; Local Range; Transition; Analytics and Data Science; Measurement and Metrics; Economic Growth; Forecasting and Prediction
Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change." AEA Papers and Proceedings 108 (May 2018): 77–82.
- May 2009 (Revised October 2009)
- Case
Verne Global: Building a Green Data Center in Iceland
Verne Global, a pioneering startup created to build the first large-scale data center in Iceland, faces critical challenges regarding its green strategy. Verne Co-Founder Isaac Kato is tasked with evaluating how the company can most successfully market and sell the... View Details
Keywords: Buildings and Facilities; Business Startups; Marketing Strategy; Product Marketing; Sales; Environmental Sustainability; Pollutants; Green Technology Industry; Service Industry; Iceland
Steenburgh, Thomas J., and Nnamdi Daniel Okike. "Verne Global: Building a Green Data Center in Iceland." Harvard Business School Case 509-063, May 2009. (Revised October 2009.)
- Web
Entrepreneurship in Life Sciences - Course Catalog
exploration may include emerging opportunities in pharma & biotech, medical device & diagnostics advances, and related topics such as digital therapeutics, platform technologies, use of real-world evidence, data and computing, AI and... View Details
- 13 Jun 2017
- Blog Post
MS/MBA: Engineering Sciences – A Q&A with Professor Robert Howe
The first MS/MBA: Engineering Sciences cohort will enroll in the MS/MBA program in August of 2018.The program is a major collaboration between HBS and the Harvard John A. Paulson School of Engineering and Applied View Details
- 08 May 2020
- Working Paper Summaries