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Show Results For
- All HBS Web
(2,588)
- People (1)
- News (735)
- Research (1,420)
- Events (23)
- Multimedia (16)
- Faculty Publications (1,029)
- 10 Dec 2015
- News
Can Google Street View Images Predict Household Income?
- 2009
- Simulation
Finance Simulation: M&A in Wine Country: No. 3289.
By: Timothy A. Luehrman and W. Carl Kester
In this simulation, students play the role of CEO at one of three publicly-traded wine producers: Starshine, Bel Vino, or International Beverage. Each player evaluates merger and/or acquisition opportunities among the three companies and then determines reservation... View Details
- 2023
- Working Paper
Complexity and Time
By: Benjamin Enke, Thomas Graeber and Ryan Oprea
We provide experimental evidence that core intertemporal choice anomalies -- including extreme short-run impatience, structural estimates of present bias, hyperbolicity and transitivity violations -- are driven by complexity rather than time or risk preferences. First,... View Details
Enke, Benjamin, Thomas Graeber, and Ryan Oprea. "Complexity and Time." NBER Working Paper Series, No. 31047, March 2023.
- 14 Aug 2017
- Conference Presentation
A Convex Framework for Fair Regression
By: Richard Berk, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel and Aaron Roth
We introduce a flexible family of fairness regularizers for (linear and logistic) regression problems. These regularizers all enjoy convexity, permitting fast optimization, and they span the range from notions of group fairness to strong individual fairness. By varying... View Details
Berk, Richard, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel, and Aaron Roth. "A Convex Framework for Fair Regression." Paper presented at the 4th Workshop on Fairness, Accountability, and Transparency in Machine Learning, Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), August 14, 2017.
- June 2016 (Revised August 2019)
- Case
Numenta: Inventing and (or) Commercializing AI
By: David B. Yoffie, Liz Kind and David Ben Shimol
In March 2016, Donna Dubinsky (co-founder and CEO) and Jeff Hawkins (co-founder) were struggling with a key question: Could Numenta be successful in both creating fundamental technology and building a commercial business? Located in Redwood City, CA, Numenta was... View Details
Keywords: Artificial Intelligence; Machine Intelligence; Machine Learning; Strategy; Business Model; Entrepreneurship; Information; Technological Innovation; Research; Research and Development; Information Technology; Applications and Software; Technology Adoption; Digital Platforms; Commercialization; AI and Machine Learning
Yoffie, David B., Liz Kind, and David Ben Shimol. "Numenta: Inventing and (or) Commercializing AI." Harvard Business School Case 716-469, June 2016. (Revised August 2019.)
- May 2003 (Revised October 2003)
- Case
BEA Systems, Inc.: Constant Reinvention to Cope with Market Waves
Developed in 1995 as a specialist software vendor, BEA Systems, Inc. had already transformed itself twice from a transaction processing product company to a server application provider. By July 2002, it had become the fastest company in history to reach $1 billion in... View Details
Keywords: Organizational Change and Adaptation; Digital Platforms; Business Growth and Maturation; Management Practices and Processes; Applications and Software; Entrepreneurship; Organizational Culture; Web Services Industry; Information Technology Industry
Sull, Donald N., Ramiro Montealegre, and Jeannette Dale. "BEA Systems, Inc.: Constant Reinvention to Cope with Market Waves." Harvard Business School Case 803-118, May 2003. (Revised October 2003.)
Richard F. Meyer
Richard F. Meyer is Professor of Business Administration at the Harvard Business School. Professor Meyer received his Ph.D. from Harvard University and spent the first ten years of his career in the Management Services Division of Arthur D. Little, Inc., serving as a... View Details
- May 1983 (Revised December 1987)
- Case
Technical Data Corp.
Describes a decision confronting the president of a small company about selling some or all of the shares in his company to another firm. Technical Data Corp. provides analytical services to professional bond market traders over a system of computer terminals operated... View Details
Keywords: Stocks; Entrepreneurship; Business Startups; Internet and the Web; Information Infrastructure; Mobile and Wireless Technology; Valuation; Negotiation Tactics; Mergers and Acquisitions; Corporate Strategy; Horizontal Integration; Information Industry; Service Industry
Sahlman, William A. "Technical Data Corp." Harvard Business School Case 283-072, May 1983. (Revised December 1987.)
- Summer 2018
- Book Review
Leslie Berlin, Troublemakers: Silicon Valley's Coming of Age
Leslie Berlin's book Troublemakers, is an engaging and insightful people-first exploration of the roots of Silicon Valley, from the late 1960s to the early 1980s. Berlin portrays seven individuals who played important roles at critical junctures in the... View Details
Sahlman, William A. "Leslie Berlin, Troublemakers: Silicon Valley's Coming of Age." Business History Review 92, no. 2 (Summer 2018): 343–353.
- 04 Jun 2012
- News
Customers Don't Want More Features
- 18 Nov 2013
- News
The Luck Factor in Great Decisions
- Web
Annual Cost of Attendance - MBA
($1,114/mo) $11,430 ($1,270/mo) TRANSPORTATION (9 months) $2,280 ($253/mo) $3,924 ($436/mo) $4,029 ($448/mo) $4,029 ($448/mo) OTHER LIVING EXPENSES (9 months) $8,320 ($924/mo) $10,736 ($1,193/mo) $13,351 ($1,483/mo) $15,071 ($1,675/mo) Total $118,854 $143,636 $160,918... View Details
- June 2005
- Article
Compensatory Transfers in Two-Player Decision Problems
By: Jerry R. Green
This paper presents an axiomatic characterization of a family of solutions to two-player quasi-linear social choice problems. In these problems the players select a single action from a set available to them. They may also transfer money between... View Details
Green, Jerry R. "Compensatory Transfers in Two-Player Decision Problems." International Journal of Game Theory 33, no. 2 (June 2005): 159–180.
- February 2004
- Case
New HP, The: The Clean Room and Beyond
By: Leslie A. Perlow and Elizabeth Kind
When the $19 billion merger of Silicon Valley legend Hewlett-Packard and Houston-based PC giant Compaq Computer Corp. legally closed on May 3, 2002, both companies had already devoted an immense amount of time preparing for the challenges that lay ahead. Chief among... View Details
Keywords: Horizontal Integration; Management Teams; Management Style; Problems and Challenges; Employees; Organizational Culture; Computer Industry; San Francisco
Perlow, Leslie A., and Elizabeth Kind. "New HP, The: The Clean Room and Beyond." Harvard Business School Case 404-064, February 2004.
- 2009
- Working Paper
Running Out of Numbers: Scarcity of IP Addresses and What to Do About It
By: Benjamin Edelman
The Internet's current numbering system is nearing exhaustion: Existing protocols allow only a finite set of computer numbers ("IP addresses"), and central authorities will soon deplete their supply. I evaluate a series of possible responses to this shortage: Sharing... View Details
Keywords: Policy; Resource Allocation; Market Transactions; Internet; Technology Networks; Technology Industry; Telecommunications Industry
Edelman, Benjamin. "Running Out of Numbers: Scarcity of IP Addresses and What to Do About It." Harvard Business School Working Paper, No. 09-091, February 2009. (Revised March 2009.)
- 03 Mar 2008
- Working Paper Summaries
Testing a Purportedly More Learnable Auction Mechanism
- November 2015 (Revised May 2016)
- Case
Aspiring Minds
By: Karim R. Lakhani, Marco Iansiti and Christine Snively
By 2015, India-based employment assessment and certification provider Aspiring Minds had helped facilitate over 300,000 job matches through its assessment tools. Aspiring Minds' flagship product, the Aspiring Minds Computer Adaptive Test (AMCAT), used machine learning... View Details
Keywords: Information Technology; Strategy; Higher Education; Technological Innovation; Employment; Technology Industry; India; China
Lakhani, Karim R., Marco Iansiti, and Christine Snively. "Aspiring Minds." Harvard Business School Case 616-013, November 2015. (Revised May 2016.)
- Web
PhD Programs - Doctoral
quantitative marketing borrows from computer science, microeconomics, and statistics to offer guidelines for a firm’s marketing strategies. Experimental work in consumer behavior aims to understand the psychological and social motivations... View Details
- 05 Jul 2006
- Working Paper Summaries