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Show Results For
- All HBS Web
(2,587)
- People (1)
- News (721)
- Research (1,416)
- Events (21)
- Multimedia (16)
- Faculty Publications (1,021)
- January 2011
- Case
AIC Netbooks: Optimizing Product Assembly
By: Steven C. Wheelwright and Sunru Yong
AIC Systems, located in Taichung, Taiwan, is a manufacturer of printed circuit boards, primarily for motherboards and video cards for personal computers. The firm is considered an original design manufacturer (ODM) and takes an active role in innovating and designing... View Details
Keywords: Performance Management; Quantitative Analysis; Manufacturing; Production Planning; Production Management; Diversification; Production; Performance Efficiency; Product Design; Performance Improvement; Mobile Technology; Manufacturing Industry; Electronics Industry; Taiwan
Wheelwright, Steven C., and Sunru Yong. "AIC Netbooks: Optimizing Product Assembly." Harvard Business School Brief Case 114-245, January 2011.
- 2007
- Other Unpublished Work
Mind Over Matter? Similarities and Differences Between Perceived and Observed Networks
In spite of the rapid development of new methods for network analysis—relying on electronic data sources and sophisticated computational analysis—organizational scholars continue to rely largely on more traditional survey-based methods. We believe that the... View Details
- 24 Jan 2019
- HBS Seminar
Melissa Valentine, Stanford University
- June 2011
- Case
CA Technologies: Bringing the Cloud to Earth
By: Marco Iansiti and Kerry Herman
Adam Famularo, general manager, Cloud Computing business, CA Technologies, and David Dobson, WVP and group executive, Customer Solutions Group, were preparing for a presentation on communicating and positioning CA Technologies' new strategy for cloud computing.... View Details
Keywords: Disruptive Innovation; Product Positioning; Expansion; Internet and the Web; Technology Adoption
Iansiti, Marco, and Kerry Herman. "CA Technologies: Bringing the Cloud to Earth." Harvard Business School Case 611-047, June 2011.
- 2007
- Working Paper
Choice, Rationality and Welfare Measurement
By: Jerry R. Green and Daniel A. Hojman
We present a method for evaluating the welfare of a decision maker, based on observed choice data. Unlike the standard economic theory of revealed preference, our method can be used whether or not the observed choices are rational. Paralleling the standard theory we... View Details
Green, Jerry R., and Daniel A. Hojman. "Choice, Rationality and Welfare Measurement." HKS Faculty Research Working Paper Series, No. 2144, November 2007.
- Web
Program Requirements - Doctoral
Applied Econometrics (Econ 2120); (Econ 2110. Introductory Probability and Statistics for Economists may be a required prerequisite) Econometric Methods (Econ 2140) Time Series Analysis (Econ 2142) Advanced Applied Econometrics (Econ 2144) View Details
- 24 Jul 2023
- Research & Ideas
Part-Time Employees Want More Hours. Can Companies Tap This ‘Hidden’ Talent Pool?
workforce, since an ever-growing proportion of college and graduate school enrollees are women, he adds. This planning is even more necessary with the advent of Artificial Intelligence (AI), Fuller cautions. As computers automate more... View Details
Keywords: by Kara Baskin
- 23 Sep 2008
- First Look
First Look: September 23, 2008
Working PapersSecuring Online Advertising: Rustlers and Sheriffs in the New Wild West Author:Benjamin G. Edelman Abstract Read the news of recent computer security guffaws, and it's striking how many problems stem from online... View Details
Keywords: Martha Lagace
- Article
Adaptive Machine Unlearning
By: Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Chris Waites
Data deletion algorithms aim to remove the influence of deleted data points from trained models at a cheaper computational cost than fully retraining those models. However, for sequences of deletions, most prior work in the non-convex setting gives valid guarantees... View Details
Gupta, Varun, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, and Chris Waites. "Adaptive Machine Unlearning." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- 2020
- Working Paper
(When) Does Appearance Matter? Evidence from a Randomized Controlled Trial
By: Prithwiraj Choudhury, Tarun Khanna, Christos A. Makridis and Subhradip Sarker
While there is evidence about labor market discrimination based on race, religion, and gender, we know little about whether physical appearance leads to discrimination in labor market outcomes. We deploy a randomized experiment on 1,000 respondents in India between... View Details
Keywords: Behavioral Economics; Coronavirus; Discrimination; Homophily; Labor Market Mobility; Limited Attention; Resumes; Personal Characteristics; Prejudice and Bias
Choudhury, Prithwiraj, Tarun Khanna, Christos A. Makridis, and Subhradip Sarker. "(When) Does Appearance Matter? Evidence from a Randomized Controlled Trial." Harvard Business School Working Paper, No. 21-038, September 2020.
- 2016
- Working Paper
Algorithmic Foundations for Business Strategy
By: Mihnea Moldoveanu
I introduce algorithmic and meta-algorithmic models for the study of strategic problem solving, aimed at illuminating the processes and procedures by which strategic managers and firms deal with complex problems. These models allow us to explore the relationship... View Details
Moldoveanu, Mihnea. "Algorithmic Foundations for Business Strategy." Harvard Business School Working Paper, No. 17-036, October 2016.
- June 1998 (Revised January 2000)
- Case
Egghead.com
Egghead Software, an entrenched traditional chain retailer specializing in computer software and peripherals, had established a nationwide chain of mall and shopping center stores and a well-organized national brand. In early 1998, management made a highly unusual, and... View Details
Keywords: Organizational Change and Adaptation; Digital Platforms; Internet and the Web; Applications and Software; Information Technology Industry; Retail Industry
Rayport, Jeffrey F., Jeremy Dann, and Robert C Schmults. "Egghead.com." Harvard Business School Case 898-283, June 1998. (Revised January 2000.)
- April 1993 (Revised July 1994)
- Case
MathSoft, Inc. (A)
MathSoft's VP of sales has doubled the size of the company's direct field sales force to support the launch of a new, high-end workstation software product priced at almost $9,000. However, sales of the new product are far below plan. At the same time, the VP of... View Details
Keywords: Information Technology; Corporate Entrepreneurship; Applications and Software; Communication Strategy; Salesforce Management; Marketing Channels; Advertising; Product Launch; Information Technology Industry; Industrial Products Industry; United States
Rangan, V. Kasturi. "MathSoft, Inc. (A)." Harvard Business School Case 593-094, April 1993. (Revised July 1994.)
- 19 Sep 2023
- HBS Case
How Will the Tech Titans Behind ChatGPT, Bard, and LLaMA Make Money?
of computing we've lived through in the past. The key insight is that the variable cost of delivering generative AI to an end user is not zero which means we can't necessarily be handing out future software-as-a-service applications... View Details
- 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.)
- Article
Behavioral and Neural Representations en route to Intuitive Action Understanding
By: Leyla Tarhan, Julian De Freitas and Talia Konkle
When we observe another person’s actions, we process many kinds of information—from how their body moves to the intention behind their movements. What kinds of information underlie our intuitive understanding about how similar actions are to each other? To address this... View Details
Keywords: Action Perception; Intuitive Similarity; Multi-arrangement; fMRI; Representational Similarity Analysis; Behavior; Perception
Tarhan, Leyla, Julian De Freitas, and Talia Konkle. "Behavioral and Neural Representations en route to Intuitive Action Understanding." Neuropsychologia 163 (December 2021).
- 2018
- Working Paper
Algorithm Appreciation: People Prefer Algorithmic to Human Judgment
By: Jennifer M. Logg, Julia A. Minson and Don A. Moore
Even though computational algorithms often outperform human judgment, received wisdom suggests that people may be skeptical of relying on them (Dawes, 1979). Counter to this notion, results from six experiments show that lay people adhere more to advice when they think... View Details
Keywords: Algorithms; Accuracy; Advice Taking; Forecasting; Theory Of Machine; Mathematical Methods; Decision Making; Forecasting and Prediction; Trust
Logg, Jennifer M., Julia A. Minson, and Don A. Moore. "Algorithm Appreciation: People Prefer Algorithmic to Human Judgment." Harvard Business School Working Paper, No. 17-086, March 2017. (Revised April 2018.)
- 2012
- Working Paper
Pay Dispersion and Work Performance
By: Alessandro Bucciol and Marco Piovesan
The effect of intra-firm pay dispersion on work performance is controversial and the empirical evidence is mixed. High pay dispersion may act as an extra incentive for employees' effort or it may reduce motivation and team cohesiveness. These effects can also coexist... View Details
Bucciol, Alessandro, and Marco Piovesan. "Pay Dispersion and Work Performance." Harvard Business School Working Paper, No. 12-075, February 2012.
- Article
Optimal Value and Growth Tilts in Long-Horizon Portfolios
By: Jakub W. Jurek and Luis M. Viceira
We develop an analytical solution to the dynamic portfolio choice problem of an investor with power utility defined over wealth at a finite horizon, who faces a time-varying investment opportunity set, parameterized using a flexible vector autoregression. We apply this... View Details
Keywords: Decision Choices and Conditions; Private Equity; Investment; Investment Portfolio; Asset Pricing; Value
Jurek, Jakub W., and Luis M. Viceira. "Optimal Value and Growth Tilts in Long-Horizon Portfolios." Review of Finance 15, no. 1 (January 2011): 29–74.
Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development
Predictive model development is understudied despite its importance to modern businesses. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms) as the primary driver of model quality, the value of... View Details