Filter Results:
(1,511)
Show Results For
- All HBS Web
(1,511)
- People (3)
- News (440)
- Research (498)
- Events (6)
- Multimedia (32)
- Faculty Publications (145)
Show Results For
- All HBS Web
(1,511)
- People (3)
- News (440)
- Research (498)
- Events (6)
- Multimedia (32)
- Faculty Publications (145)
- Web
Christensen Center for Teaching & Learning
the importance of student participation and the shared responsibility between instructors and students in shaping the class session. For Current Faculty The Christensen Center supports all current Harvard Business School faculty through View Details
- Winter 2016
- Article
Analytics for an Online Retailer: Demand Forecasting and Price Optimization
By: Kris J. Ferreira, Bin Hong Alex Lee and David Simchi-Levi
We present our work with an online retailer, Rue La La, as an example of how a retailer can use its wealth of data to optimize pricing decisions on a daily basis. Rue La La is in the online fashion sample sales industry, where they offer extremely limited-time... View Details
Ferreira, Kris J., Bin Hong Alex Lee, and David Simchi-Levi. "Analytics for an Online Retailer: Demand Forecasting and Price Optimization." Manufacturing & Service Operations Management 18, no. 1 (Winter 2016): 69–88.
- June 2009
- Article
Highbrow Films Gather Dust: Time-inconsistent Preferences and Online DVD Rentals
By: Katherine L. Milkman, Todd Rogers and Max H. Bazerman
We report on a field study demonstrating systematic differences between the preferences people anticipate they will have over a series of options in the future and their subsequent revealed preferences over those options. Using a novel panel data set, we analyze the... View Details
Keywords: Decision Choices and Conditions; Forecasting and Prediction; Film Entertainment; Demand and Consumers; Renting or Rental; Power and Influence; Prejudice and Bias; Online Technology; Motion Pictures and Video Industry
Milkman, Katherine L., Todd Rogers, and Max H. Bazerman. "Highbrow Films Gather Dust: Time-inconsistent Preferences and Online DVD Rentals." Management Science 55, no. 6 (June 2009): 1047–1059.
- 2007
- Working Paper
Highbrow Films Gather Dust: Time-inconsistent Preferences and Online DVD Rentals
By: Katherine L. Milkman, Todd Rogers and Max H. Bazerman
We report on a field study demonstrating systematic differences between the preferences people anticipate they will have over a series of options in the future and their subsequent revealed preferences over those options. Using a novel panel data set, we analyze the... View Details
Keywords: Internet and the Web; Decision Choices and Conditions; Attitudes; Conflict and Resolution; Emotions; Film Entertainment; Cognition and Thinking; Entertainment and Recreation Industry
Milkman, Katherine L., Todd Rogers, and Max H. Bazerman. "Highbrow Films Gather Dust: Time-inconsistent Preferences and Online DVD Rentals." Harvard Business School Working Paper, No. 07-099, June 2007. (Revised July 2007, December 2007, April 2008, September 2008, January 2009.)
- Web
Business Program Discount | HBS Online
complete three courses from their selected Learning Track within 18 months will earn a Certificate of Specialization , which can bolster your resume and signify to employers your commitment to professional growth and lifelong learning.... View Details
- 01 Feb 2001
- News
HBS and Stanford in Online Collaboration
HBS and Stanford University are teaming up to explore online executive management education. The new collaboration between these pioneers in electronic learning is designed to create a distribution platform... View Details
- March 2017
- Teaching Note
AmazonFresh: Rekindling the Online Grocery Market
By: Rory McDonald
Teaching Note for HBS No. 615-013. View Details
- 2019
- Working Paper
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, improved medical diagnostics, and machine translation, but can it improve marketing decisions? It can. Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to rich media... View Details
Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Harvard Business School Working Paper, No. 20-036, September 2019.
- Web
HBS Live Online Classrooms | Information Technology
HBS Live Online Classrooms Providing an immersive and dynamic online classroom experience, where case method teaching and learning comes to life in a state-of-the-art virtual... View Details
- 01 Oct 2021
- News
Hybrid Learning the HBS Way
HBS’s hybrid classrooms feature state-of-the-art equipment and technology that enables the professor to see and interact with in-person and remote students at the same time. HBS developed unique hybrid spaces with leading-edge technology to provide a safe and engaging... View Details
- June 2016
- Article
Understanding Online Hotel Reviews Through Automated Text Analysis
By: Shawn Mankad, Hyunjeong "Spring" Han, Joel Goh and Srinagesh Gavirneni
Customer reviews submitted at Internet travel portals are an important yet underexplored new resource in obtaining feedback on customer experience for the hospitality industry. These data are often voluminous and unstructured, presenting analytical challenges for... View Details
Keywords: Hotel Reviews; Natural Language Processing; Information Technology; Service Operations; Accommodations Industry; Moscow
Mankad, Shawn, Hyunjeong "Spring" Han, Joel Goh, and Srinagesh Gavirneni. "Understanding Online Hotel Reviews Through Automated Text Analysis." Service Science 8, no. 2 (June 2016): 124–138.
- 01 Dec 2006
- News
Faculty Research Online From HBS Working Knowledge
Professor Mihir Desai explains what managers can learn from one unlucky investor’s experience. The Compensation Game Do CEOs deserve “star” compensation? The idea that their pay is driven by the invisible hand of market forces is a myth... View Details
- January 2016 (Revised November 2018)
- Case
Ivy Academy: Blended Learning in Downingtown Area School District
By: John J-H Kim and Daniel Goldberg
In 2015, Downingtown Area School District (DASD), a suburban school district near Philadelphia, entered its second year implementing Ivy Academy, a blended learning program, in its two traditional high schools. Superintendent Larry Mussoline, having for several years... View Details
Keywords: Organizational Change and Adaptation; Information Technology; Curriculum and Courses; Learning; Philadelphia
Kim, John J-H, and Daniel Goldberg. "Ivy Academy: Blended Learning in Downingtown Area School District." Harvard Business School Case 316-144, January 2016. (Revised November 2018.)
- 02 Apr 2012
- Research & Ideas
Do Online Dating Platforms Help Those Who Need Them Most?
identify potential partners in the offline world, and the online worlds are helping them do that, thereby potentially equalizing access to romantic relationships.” Harvard Business School Associate Professor Mikolaj Piskorski has studied... View Details
- Article
Fake AI People Won't Fix Online Dating
Computer-generated images may inspire even more distrust and surely won’t lead to the love of a lifetime. View Details
Keywords: Artificial Intelligence; Dating Services; Internet and the Web; Ethics; AI and Machine Learning
Kominers, Scott Duke. "Fake AI People Won't Fix Online Dating." Bloomberg Opinion (January 16, 2020).
- 09 Mar 2022
- News
An Expansive Vision for the Future of Teaching and Learning
- 2023
- Working Paper
Learning to Use: Stack Overflow and Technology Adoption
By: Daniel Jay Brown and Maria P. Roche
In this paper, we examine the potential impact of Q&A websites on the adoption of technologies.
Using data from Stack Overflow – one of the most popular Q&A websites worldwide
– and implementing an instrumental-variable approach, we find that users whose questions... View Details
Brown, Daniel Jay, and Maria P. Roche. "Learning to Use: Stack Overflow and Technology Adoption." Harvard Business School Working Paper, No. 24-001, July 2023.