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Show Results For
- All HBS Web
(16,390)
- People (39)
- News (4,168)
- Research (9,395)
- Events (138)
- Multimedia (285)
- Faculty Publications (7,673)
- 01 Aug 2019
- News
China Races Ahead of the U.S. in the Battle for 5G Supremacy
- 2020
- Working Paper
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
- April 2019 (Revised February 2025)
- Case
Wendell Weeks at Corning Inc.: Extending a History of Life-Changing Innovations (A)
By: Ryan Raffaelli, David G. Fubini and Aldo Sesia
This case examines the leadership challenges associated with maintaining a culture of innovation in established organizations. It asks students to step into the shoes of a leader faced with making several tough decisions about when to invest (or to stop investing) in... View Details
Keywords: Innovation and Invention; Organizational Culture; Innovation Leadership; History; Technological Innovation; Investment; Decision Making
Raffaelli, Ryan, David G. Fubini, and Aldo Sesia. "Wendell Weeks at Corning Inc.: Extending a History of Life-Changing Innovations (A)." Harvard Business School Case 419-003, April 2019. (Revised February 2025.)
- December 1994
- Background Note
Note on Estimating the Value of the "IT Asset" Part II
By: Richard L. Nolan
Nolan, Richard L. Note on Estimating the Value of the "IT Asset" Part II. Harvard Business School Background Note 195-199, December 1994.
- December 1994
- Background Note
Note on Estimating the Value of the "IT Asset" Part I
By: Richard L. Nolan
Nolan, Richard L. Note on Estimating the Value of the "IT Asset" Part I. Harvard Business School Background Note 195-197, December 1994.
- August 2011
- Supplement
Raj Datta, Former Chief Knowledge Officer of MindTree, In-Class Comments, April 1, 2011
By: David A. Garvin
MindTree is a mid-sized Indian IT services company known for its knowledge management practices, its collaborative communities, and its strong culture and values. The CEO has set a goal of becoming a $1 billion company by 2014; to reach that goal, employees must create... View Details
Keywords: Knowledge Management; Social and Collaborative Networks; Innovation and Invention; Organizational Culture; Learning; Values and Beliefs; Information Technology Industry; Information Technology Industry; India
Garvin, David A. "Raj Datta, Former Chief Knowledge Officer of MindTree, In-Class Comments, April 1, 2011." Harvard Business School Video Supplement 312-703, August 2011.
- Forthcoming
- Article
The Effect of a System for Sharing Best Practices Within Pre-existing Peer Networks
By: Shelley Xin Li and Tatiana Sandino
Peer networks, such as enterprise social networks (ESNs), can facilitate knowledge transfer across employees. However, such systems can also lead to information overload or difficulty in finding useful information. We examine data from a natural field experiment where... View Details
- 18 Mar 2023
- News
Is AI the Future of Hollywood? How the Hype Squares with Reality
- 1999
- Book
Corporate Information Systems Management: The Challenge of Managing in an Information Age
By: L. M. Applegate, F. W. McFarlan and J. L. McKenney
Keywords: Information Management
Applegate, L. M., F. W. McFarlan, and J. L. McKenney. Corporate Information Systems Management: The Challenge of Managing in an Information Age. 5th ed. Homewood, IL: Irwin/McGraw-Hill, 1999.
- 05 Sep 2022
- News
Harvard Business School | Hybrid Work Could Be ‘Best of Both Worlds’
- February 2015 (Revised November 2015)
- Supplement
Building an Integrated Biopharma Company: Crucell (B)
By: Richard G. Hamermesh, Marianne Van Der Steen and Susan Harmeling
The Crucell (B) case updates events at Crucell since 2009. In September, 2009, Johnson & Johnson acquired 18% of Crucell for $400 million. This investment was part of a business development deal. Subsequently, in 2012, Johnson & Johnson acquired Crucell for $2.8... View Details
Keywords: Biotechnology; Biopharmacy Company; Licensing Agreements In Biopharmacy; Licensing; Human Cell-line Technology; Vaccine; Healthcare Innovation; Global Health; Entrepreneurship; Health Care and Treatment; Acquisition; Innovation and Invention; Biotechnology Industry; Pharmaceutical Industry
Hamermesh, Richard G., Marianne Van Der Steen, and Susan Harmeling. "Building an Integrated Biopharma Company: Crucell (B)." Harvard Business School Supplement 815-086, February 2015. (Revised November 2015.)
- 17 Sep 2010
- News
Something for the weekend
- July 2000 (Revised April 2001)
- Case
Agricultural Biotechnology and its Regulation
In the United States, genetically modified corn and soybeans are now widely grown and consumed. In Europe, however, they have been dubbed "Frankenstein foods," shunned by packaged food manufacturers, and subjected to a host of governmental restrictions. This case... View Details
Keywords: Agribusiness; Genetics; Governing Rules, Regulations, and Reforms; Corporate Strategy; Trade; Law; Goods and Commodities; Safety; Environmental Sustainability; Government and Politics; Agriculture and Agribusiness Industry; Biotechnology Industry; Europe; United States
Reinhardt, Forest L. "Agricultural Biotechnology and its Regulation." Harvard Business School Case 701-004, July 2000. (Revised April 2001.)
- March 2004
- Teaching Note
Siebel Systems: Anatomy of a Sale, Parts 1, 2, and 3 (TN)
By: John A. Deighton and Das Narayandas
Teaching Note to (9-503-021), (9-503-022), and (9-503-023). View Details
Keywords: Technology Industry
- 2022
- Article
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations
By: Jessica Dai, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach and Himabindu Lakkaraju
As post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to ensure that the quality of the resulting explanations is consistently high across all subgroups of a population. For instance, it... View Details
Dai, Jessica, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach, and Himabindu Lakkaraju. "Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 203–214.
- May 29, 2019
- Article
A Study of More Than 250 Platforms Reveals Why Most Fail
By: David B. Yoffie, Annabelle Gawer and Michael A. Cusumano
This piece explores why digital platforms fail. We collected data on 250 failures over the last 20 years, analyzed the most common causes for a platform to disappear or morph into an alternative business. View Details
Yoffie, David B., Annabelle Gawer, and Michael A. Cusumano. "A Study of More Than 250 Platforms Reveals Why Most Fail." Harvard Business Review (website) (May 29, 2019).
- 2023
- Working Paper
Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development
By: Daniel Yue, Paul Hamilton and Iavor Bojinov
Predictive model development is understudied despite its centrality in modern artificial
intelligence and machine learning business applications. Although prior discussions
highlight advances in methods (along the dimensions of data, computing power, and
algorithms)... View Details
Keywords: Analytics and Data Science
Yue, Daniel, Paul Hamilton, and Iavor Bojinov. "Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development." Harvard Business School Working Paper, No. 23-029, December 2022. (Revised April 2023.)