Publications
Publications
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- All HBS Web
(4,925)
- Faculty Publications (1,003)
- October 2018 (Revised July 2023)
- Case
Innovation at Uber: The Launch of Express POOL
By: Chiara Farronato, Alan MacCormack and Sarah Mehta
Set in March 2018, the case follows ride-sharing company Uber as it develops and launches a new product called Express POOL. This product offers a reduced price to riders willing to carpool, walk a short distance to/from their pick-up and drop-off points, and wait a... View Details
- Fall 2018
- Article
The Value of Fit Information in Online Retail: Evidence from a Randomized Field Experiment
By: Santiago Gallino and Antonio Moreno
Online channels generate frictions when selling products with nondigital attributes, such as apparel. Customers may be reluctant to purchase products they have not been able to try on, and those customers who do purchase may return products when they do not fit as... View Details
- 2018
- Book
Varieties of Green Business: Industries, Nations and Time
By: Geoffrey Jones
Published at a time of ever-increasing warnings that the pace of climate change and other environmental changes risk making the Earth unsustainable within our own lifetimes, this book looks at the past of green business to identify lessons for the future. It provides... View Details
Keywords: Green Business; Sustainability; Business History; Eco-tourism; Organic Wine; Organic Food; Waste Management; Sustainable Finance; Ethics; Finance; History; Entrepreneurship; Agriculture and Agribusiness Industry; Agriculture and Agribusiness Industry; Agriculture and Agribusiness Industry; Agriculture and Agribusiness Industry; Agriculture and Agribusiness Industry; Agriculture and Agribusiness Industry; Agriculture and Agribusiness Industry; Europe; Asia; Latin America; North and Central America; New Zealand
- 2020
- Working Paper
Machine Learning for Pattern Discovery in Management Research
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a... View Details
- 2018
- Working Paper
Ratcheting, Competition, and the Diffusion of Technological Change: The Case of Televisions Under an Energy Efficiency Program
By: Tomomichi Amano and Hiroshi Ohashi
In differentiated goods markets with societal implications, quality standards are commonly implemented to avoid the under-provision of innovation. Firms have clear incentives to engage in strategic behavior because policymakers use market outcomes as a benchmark in... View Details
- September 2018
- Case
Verisk: Trailblazing in the Big Data Jungle
By: Andrew Wasynczuk, Francesca Gino and Karim Sameh
This case revolves around Verisk Analytics' initiatives to drive innovation throughout the firm's many business verticals. Verisk, originally named ISO, started life as an insurance rating agency in the early 1970s, acting as an intermediary between insurance companies... View Details
Keywords: Verisk; Argus; Wood Mackenzie; Insurance; Energy; Analytics; Data; Big Data; Acquisitions; Acquisition Strategy; Innovation; Organic Growth; Innovation Strategy; Innovation Leadership; Technological Innovation; Acquisition; Growth and Development Strategy; Analytics and Data Science; Insurance Industry; Energy Industry; Consulting Industry; United States; United Kingdom; New York (state, US); England
- 2018
- Working Paper
The State of Open Source Server Software
By: Shane Greenstein and Klaus Ackermann
The study assembles new data to construct a census of worldwide web server use across the globe. We document a large concentration of investment in the United States, and a wide dispersion across scores of countries. We find tens of billions of dollars of unmeasured... View Details
- Article
Uninformed Consent
By: Leslie K. John
Companies want access to more and more of your personal data—from where you are to what’s in your DNA. Can they unlock its value while respecting consumers’ privacy? View Details
- September 2018
- Article
What Does It Take to Change an Editor's Mind? Identifying Minimally Important Difference Thresholds for Peer Reviewer Rating Scores of Scientific Articles
By: Michael Callaham and Leslie John
Study objective—We define a minimally important difference for the Likert-type scores frequently used in scientific peer review (similar to existing minimally important differences for scores in clinical medicine). To our knowledge, the magnitude of score change... View Details
- August 2018 (Revised September 2018)
- Case
Predicting Purchasing Behavior at PriceMart (A)
By: Srikant M. Datar and Caitlin N. Bowler
This case follows VP of Marketing, Jill Wehunt, and analyst Mark Morse as they tackle a predictive analytics project to increase sales in the Mom & Baby unit of a nationally recognized retailer, PriceMart. Wehunt observed that in the midst of the chaos that surrounded... View Details
- August 2018 (Revised September 2018)
- Supplement
Predicting Purchasing Behavior at PriceMart (B)
By: Srikant M. Datar and Caitlin N. Bowler
Supplements the (A) case. In this case, Wehunt and Morse are concerned about the logistic regression model overfitting to the training data, so they explore two methods for reducing the sensitivity of the model to the data by regularizing the coefficients of the... View Details
- August 2018 (Revised April 2019)
- Case
Chateau Winery (A): Unsupervised Learning
By: Srikant M. Datar and Caitlin N. Bowler
This case follows Bill Booth, marketing manager of a regional wine distributor, as he applies unsupervised learning on data about his customers’ purchases to better understand their preferences. Specifically, he uses the K-means clustering technique to identify groups... View Details
- August 2018 (Revised April 2019)
- Supplement
Chateau Winery (B): Supervised Learning
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on “Chateau Winery (A).” In this case, Bill Booth, marketing manager of a regional wine distributor, shifts to supervised learning techniques to try to predict which deals he should offer to customers based on the purchasing behavior of those... View Details
- August 2018 (Revised September 2018)
- Case
LendingClub (A): Data Analytic Thinking (Abridged)
By: Srikant M. Datar and Caitlin N. Bowler
LendingClub was founded in 2006 as an alternative, peer-to-peer lending model to connect individual borrowers to individual investor-lenders through an online platform. Since 2014 the company has worked with institutional investors at scale. While the company assigns... View Details
- August 2018 (Revised September 2018)
- Supplement
LendingClub (B): Decision Trees & Random Forests
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) case. In this case students follow Emily Figel as she builds two tree-based models using historical LendingClub data to predict, with some probability, whether borrower will repay or default on his loan.
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- August 2018 (Revised September 2018)
- Supplement
LendingClub (C): Gradient Boosting & Payoff Matrix
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) and (B) cases. In this case students follow Emily Figel as she builds an even more sophisticated model using the gradient boosted tree method to predict, with some probability, whether a borrower would repay or default... View Details
- August 2018
- Case
Christine Lagarde (A): A French Prime Minister Calls
By: Julie Battilana and Carin-Isabel Knoop
This case covers formative events and influences in Christine Lagarde’s childhood and her trajectory from studying political science and law to heading the world’s largest law firm. As she prepares to transition back to practice in 2005, the new Prime Minister of... View Details
- Article
The Impact of the 'Open' Workspace on Human Collaboration
By: Ethan Bernstein and Stephen Turban
Organizations’ pursuit of increased workplace collaboration has led managers to transform traditional office spaces into “open,” transparency-enhancing architectures with fewer walls, doors, and other spatial boundaries, yet there is scant direct empirical research on... View Details
Keywords: Open Office; Transparency; Collaboration; Collective Intelligence; Workspace; Workspace Design; Architecture; Cubicles; Boundaries; Spatial Boundaries; Human Behavior; Propinquity; Co-location; Interaction; Sociometers; People Analytics; Buildings and Facilities; Communication; Design; Human Resources; Leadership; Management; Organizational Design; Organizational Structure; Networks; Social and Collaborative Networks; Information Technology; United States
- 2020
- Working Paper
Social Attachment to Place and Psychic Costs of Geographic Mobility: How Distance from Hometown and Vacation Flexibility Affect Job Performance
By: Prithwiraj Choudhury and Ohchan Kwon
Using a natural experiment and field interviews, this paper studies how social attachment to place imposes psychic costs on workers who experience geographic mobility. This is especially salient when workers are assigned to locations far from their hometown, which may... View Details
- 2018
- Working Paper
Sustainability and Green Business in Latin America During Globalization Waves
By: Geoffrey Jones
This working paper examines the impact of modern business enterprise on the natural environment of Latin America during the globalization waves between the 19th century and the present day. It argues that although global capitalism created much wealth for the region,... View Details