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Show Results For
- All HBS Web
(684)
- News (145)
- Research (421)
- Events (20)
- Multimedia (12)
- Faculty Publications (299)
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- 30 Nov 2010
- Working Paper Summaries
Sponsored Links’ or ’Advertisements’?: Measuring Labeling Alternatives in Internet Search Engines
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- 23 Jul 2013
- First Look
First Look: July 23
restaurant reviews with Yelp's algorithmic indicator of fake reviews. Using this imperfect indicator as a proxy, we develop an empirical methodology to identify the points in the life cycle of a business during which review fraud is most... View Details
Keywords: Anna Secino
- January 2021
- Case
Anodot: Autonomous Business Monitoring
By: Antonio Moreno and Danielle Golan
Autonomous business monitoring platform Anodot leveraged machine learning to provide real-time alerts regarding business anomalies. Anodot’s solution was used in various industries in order to primarily monitor business health, such as revenue and payments, product... View Details
Keywords: Digital Platforms; Internet and the Web; Knowledge Sharing; Information Management; Sales; Value Creation; Product Positioning; Israel
Moreno, Antonio, and Danielle Golan. "Anodot: Autonomous Business Monitoring." Harvard Business School Case 621-084, January 2021.
- September 2011 (Revised July 2012)
- Case
Building Watson: Not So Elementary, My Dear!
By: Willy Shih
This case is set inside IBM Research's efforts to build a computer that can successfully take on human challengers playing the game show Jeopardy! It opens with the machine named Watson offering the incorrect answer "Toronto" to a seemingly simple question during the... View Details
Keywords: Technological Innovation; Standards; Product Development; Organizational Change and Adaptation; Mathematical Methods; Research and Development; Information Technology
Shih, Willy. "Building Watson: Not So Elementary, My Dear!" Harvard Business School Case 612-017, September 2011. (Revised July 2012.)
- 12 Apr 2022
- Research & Ideas
Swiping Right: How Data Helped This Online Dating Site Make More Matches
we had no real idea what would prevail. So, this is where the scientific mystery lies,” he says. Applying dating algorithms to other industries, cautiously Platonic platforms could follow similar, industry-appropriate revelation models.... View Details
Keywords: by Kara Baskin
- July 2013 (Revised August 2017)
- Case
TaKaDu
By: Elie Ofek and Matthew Preble
In December 2012, Amir Peleg, founder and CEO of TaKaDu, reflected on how to position his young firm for the next fiscal year and beyond. The small Israeli startup had developed an innovative software system that used patented algorithms and statistical analysis to... View Details
Keywords: Innovation; Customer Selection; Business Marketing; High-tech Marketing; Enterprise Resource Planning; Water Resources; Water Management; Utilities; Product Positioning; Expansion; Resource Allocation; Applications and Software; Entrepreneurship; Business Startups; Business Strategy; Innovation and Invention; Growth and Development Strategy; Utilities Industry; Australia; Israel
- 05 May 2022
- HBS Case
College Degrees: The Job Requirement Companies Seek, but Don't Really Need
than 70 percent of Black, Latinx, and rural workers from landing jobs, even though they may have the actual skills to do the required work. Many companies rely on machine learning algorithms that automatically weed out job applicants who... View Details
Keywords: by Jay Fitzgerald
- 06 Jul 2020
- Research & Ideas
The Right Way to Manage Customer Churn for Maximum Profit
responsiveness seems to have an even bigger impact on profitability,” Gupta says. Don’t change customers, change algorithms Applying both factors to data from a European television service company, for example, the researchers were able... View Details
- 14 Nov 2017
- First Look
New Research and Ideas: November 14, 2017
October 2017 Negotiation Journal Prescriptions Based on a Realistic View of Human Behavior By: Bazerman, Max Abstract—No abstract available. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=53096 November–December 2017 Harvard Business Review Are You... View Details
Keywords: Carmen Nobel
- 16 Dec 2022
- Research & Ideas
Why Technology Alone Can't Solve AI's Bias Problem
human toll to letting algorithms do the work. “Maybe there is a bias from people who have been traditionally hiring men.” Searches on popular recruiting sites might seem like a neutral way to find prospective candidates, but their... View Details
- 13 Jul 2021
- Research & Ideas
Outrage Spreads Faster on Twitter: Evidence from 44 News Outlets
emotion.” Social media companies are well aware of this phenomenon, which is why their algorithms amplify highly emotional posts. They understand that showing users content that elicits emotion will keep them on their platforms longer.... View Details
- 20 Nov 2019
- Research & Ideas
It's No Joke: AI Beats Humans at Making You Laugh
each other for longer than five years. First, the participants rated jokes on a scale from “extremely funny” to “not funny at all.” Then, after seeing their partners’ ratings for four of the jokes, they predicted their partners’ ratings for eight more jokes. Meanwhile,... View Details
Keywords: by Dina Gerdeman
- Article
Use of Connected Digital Products in Clinical Research Following the COVID-19 Pandemic: A Comprehensive Analysis of Clinical Trials
By: Caroline Marra, William J. Gordon and Ariel Dora Stern
Objectives: In an effort to mitigate COVID-19 related challenges for clinical research, the U.S. Food and Drug Administration (FDA) issued new guidance for the conduct of ‘virtual’ clinical trials in late March 2020. This study documents trends in the use of... View Details
Keywords: Connected Digital Products; Telehealth; Remote Monitoring; Health Testing and Trials; Research; Governing Rules, Regulations, and Reforms; Information Technology
Marra, Caroline, William J. Gordon, and Ariel Dora Stern. "Use of Connected Digital Products in Clinical Research Following the COVID-19 Pandemic: A Comprehensive Analysis of Clinical Trials." BMJ Open 11, no. 6 (2021).
- 30 May 2024
- Research & Ideas
Racial Bias Might Be Infecting Patient Portals. Can AI Help?
algorithms based on datasets such as those from the Boston Medical Center study raises the risk of entrenching inequities in the system, Stern says. “What if there were a way to develop a tool that would scan and repackage information to... View Details
- 09 Jan 2020
- Book
Rethinking Business Strategy in the Age of AI
more akin to an Apple, a Tesla, or a Nest, or a GoPro—where it’s a consumer product that has the foundation of sexy hardware technology and sexy software technology,” he is quoted in a book published today, Competing in the Age of AI: Strategy and Leadership When View Details
Keywords: by Dina Gerdeman
- November, 2016
- Article
Fixing Discrimination in Online Marketplaces
By: Ray Fisman and Michael Luca
Online marketplaces such as eBay, Uber, and Airbnb have the potential to reduce racial, gender, and other forms of bias that affect the off-line world. And in the early days of Internet commerce, the relative anonymity of transactions did make it harder for... View Details
Fisman, Ray, and Michael Luca. "Fixing Discrimination in Online Marketplaces." Harvard Business Review 94, no. 12 (November, 2016): 88–95.
- 13 Nov 2019
- Research & Ideas
Don't Turn Your Marketing Function Over to AI Just Yet
how new products or services would perform at various prices or with different characteristics. The machine learning algorithms that might power such a device are, at least for now, incapable of producing such promising results. But what... View Details
Keywords: by Kristen Senz
- 15 Sep 2022
- Research & Ideas
Looking For a Job? Some LinkedIn Connections Matter More Than Others
and anecdotal information, but despite having over 65,000 citations in the last 50 years, there have been no large-scale experimental causal tests of this theory as it relates to employment.” Enlisting a LinkedIn algorithm To put the... View Details
Keywords: by Michael Blanding
- May 2017
- Other Article
Stepwise Distributed Open Innovation Contests for Software Development: Acceleration of Genome-Wide Association Analysis
By: Andrew Hill, Po-Ru Loh, Ragu B. Bharadwaj, Pascal Pons, Jingbo Shang, Eva C. Guinan, Karim R. Lakhani, Iain Kilty and Scott Jelinsky
BACKGROUND:
The association of differing genotypes with disease-related phenotypic traits offers great potential to both help identify new therapeutic targets and support stratification of patients who would gain the greatest benefit from specific drug classes.... View Details
Keywords: Crowdsourcing; Genome-wide Association Study; Logistic Regression; Open Innovation; PLINK; Collaborative Innovation and Invention
Hill, Andrew, Po-Ru Loh, Ragu B. Bharadwaj, Pascal Pons, Jingbo Shang, Eva C. Guinan, Karim R. Lakhani, Iain Kilty, and Scott Jelinsky. "Stepwise Distributed Open Innovation Contests for Software Development: Acceleration of Genome-Wide Association Analysis." GigaScience 6, no. 5 (May 2017).