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(789)
- News (205)
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- Faculty Publications (289)
Show Results For
- All HBS Web
(789)
- News (205)
- Research (429)
- Events (4)
- Multimedia (7)
- Faculty Publications (289)
- Article
The Impact of Project Portfolio Management on Information Technology Projects
By: Bert De Reyck, Yael Grushka-Cockayne, Martin Lockett, Sergio Ricardo Calderini, Marcio Moura and Andrew Sloper
The ever-increasing penetration of projects as a way to organise work in many organisations necessitates effective management of multiple projects. This has resulted in a greater interest in the processes of project portfolio management (PPM), with more and more... View Details
Keywords: Project Portfolio Management; Information Technology; Projects; Management Practices and Processes; Performance Improvement
De Reyck, Bert, Yael Grushka-Cockayne, Martin Lockett, Sergio Ricardo Calderini, Marcio Moura, and Andrew Sloper. "The Impact of Project Portfolio Management on Information Technology Projects." International Journal of Project Management 23, no. 7 (October 2005): 524–537.
- June 2023
- Article
How New Ideas Diffuse in Science
By: Mengjie Cheng, Daniel Scott Smith, Xiang Ren, Hancheng Cao, Sanne Smith and Daniel A. McFarland
What conditions help new ideas spread? Can knowledge entrepreneurs’ position and develop new ideas in ways that help them take off? Most innovation research focuses on products and their reference. That focus ignores the ideas themselves and the broader ideational... View Details
Keywords: Innovation Adoption; Natural Language Processing; Knowledge; Science; Innovation and Invention; Knowledge Sharing; Analytics and Data Science
Cheng, Mengjie, Daniel Scott Smith, Xiang Ren, Hancheng Cao, Sanne Smith, and Daniel A. McFarland. "How New Ideas Diffuse in Science." American Sociological Review 88, no. 3 (June 2023): 522–561.
- 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.)
- 2023
- Working Paper
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior
Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.
- 12 Oct 2022
- Video
Ifeoma Ajunwa: Limitless Boundaries of Employee Surveillance
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation.
Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers' decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
- 26 Apr 2023
- In Practice
Is AI Coming for Your Job?
cognitive work. Many people in such roles have been insulated from automation and globalization. That is about to change. The change is likely to follow a path similar to one a character in Ernest... View Details
- September–October 2024
- Article
How AI Can Power Brand Management
By: Julian De Freitas and Elie Ofek
Marketers have begun experimenting with AI to improve their brand-management efforts. But unlike other marketing tasks, brand management involves more than just repeatedly executing one specialized function. Long considered the exclusive domain of creative talent, it... View Details
Keywords: Creativity; AI and Machine Learning; Brands and Branding; Product Positioning; Customer Focus and Relationships
De Freitas, Julian, and Elie Ofek. "How AI Can Power Brand Management." Harvard Business Review 102, no. 5 (September–October 2024): 108–114.
- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
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
- Web
Curriculum | MBA
Curriculum MS/MBA Biotechnology: Life Sciences Students complete degree requirements over two academic years, augmented by coursework during August at the beginning of the program and during both January... View Details
- Article
Oracle Efficient Private Non-Convex Optimization
By: Seth Neel, Aaron Leon Roth, Giuseppe Vietri and Zhiwei Steven Wu
One of the most effective algorithms for differentially private learning and optimization is objective perturbation. This technique augments a given optimization problem (e.g. deriving from an ERM problem) with a random linear term, and then exactly solves it.... View Details
Neel, Seth, Aaron Leon Roth, Giuseppe Vietri, and Zhiwei Steven Wu. "Oracle Efficient Private Non-Convex Optimization." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020).
- 2019
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 8 Rationalizing Flow Processes
The purpose of this chapter is to examine the value structure of flow production processes and to explain why it is necessary to rationalize flow processes using the tools of systematic management. I first explain the problems facing managers of multi-step flow... View Details
Keywords: Flow Processes; Bottlenecks; Systematic Management; Production; Management; Problems and Challenges
Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 8 Rationalizing Flow Processes." Harvard Business School Working Paper, No. 20-032, September 2019.
- 2023
- Working Paper
Applications or Approvals: What Drives Racial Disparities in the Paycheck Protection Program?
By: Sergey Chernenko, Nathan Kaplan, Asani Sarkar and David S. Scharfstein
We use the 2020 Small Business Credit Survey to study the sources of racial disparities in use of the Paycheck Protection Program (PPP). Black-owned firms are 8.9 percentage points less likely than observably similar white-owned firms to receive PPP loans. About 55% of... View Details
Chernenko, Sergey, Nathan Kaplan, Asani Sarkar, and David S. Scharfstein. "Applications or Approvals: What Drives Racial Disparities in the Paycheck Protection Program?" NBER Working Paper Series, No. 31172, April 2023.
- March 2022
- Article
Where to Locate COVID-19 Mass Vaccination Facilities?
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li and Alessandro Previero
The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United States in particular, the new... View Details
Keywords: Vaccines; COVID-19; Health Care and Treatment; Health Pandemics; Performance Effectiveness; Analytics and Data Science; Mathematical Methods
Bertsimas, Dimitris, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li, and Alessandro Previero. "Where to Locate COVID-19 Mass Vaccination Facilities?" Naval Research Logistics Quarterly 69, no. 2 (March 2022): 179–200.
- 2020
- Working Paper
Sticky Capital Controls
By: Miguel Acosta-Henao, Laura Alfaro and Andres Fernandez
There is much ongoing debate on the merits of capital controls as effective policy instruments. The differing perspectives are due in part to a lack of empirical studies that look at the intensive margin of controls, which in turn has prevented a quantitative... View Details
Keywords: Capital Controls; Macroprudential Policies; Stickiness; Intensive; (S, S) Costs; Capital; Management; Macroeconomics
Acosta-Henao, Miguel, Laura Alfaro, and Andres Fernandez. "Sticky Capital Controls." NBER Working Paper Series, No. 26997, April 2020.
- January 2018 (Revised November 2018)
- Case
Index
By: Jose Alvarez and Julia Kelley
In December 2017, Marc Freed-Finnegan and Jonathan Wall, the co-founders of retail technology company Index, had to discuss the company’s direction as they entered 2018. Five years earlier, Freed-Finnegan and Wall had founded Index after observing the technological... View Details
- 15 Mar 2016
- First Look
March 15, 2016
Case 516-059 Ocado In 2015, U.K.–based Ocado was the world's largest pure player in the online home-delivery grocery business and was gaining a growing share of the highly competitive U.K. grocery market. Ocado had made heavy investments... View Details
- 22 Nov 2023
- Research & Ideas
Humans vs. Machines: Untangling the Tasks AI Can (and Can't) Handle
nuances of its limits. Since ChatGPT debuted a year ago, automation hopes and fears—previously limited to factory floors and supermarket checkout lines—have shaken the ranks of... View Details
Applications or Approvals: What Drives Racial Disparities in the Paycheck Protection Program?
We use the 2020 Small Business Credit Survey to study the sources of racial disparities in use of the Paycheck Protection Program (PPP). Black-owned firms are 8.9 percentage points less likely to receive PPP loans than observably similar white-owned firms. About... View Details