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Publications

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  • All HBS Web  (789)
    • News  (205)
    • Research  (429)
    • Events  (4)
    • Multimedia  (7)
  • Faculty Publications  (289)

Show Results For

  • All HBS Web  (789)
    • News  (205)
    • Research  (429)
    • Events  (4)
    • Multimedia  (7)
  • Faculty Publications  (289)
← Page 18 of 789 Results →
  • 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
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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
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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
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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
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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
    Keywords: by Kristen Senz; Technology
    • 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
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    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
    Keywords: AI and Machine Learning; Analytics and Data Science; Prejudice and Bias
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    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
      Keywords: Machine Learning; Algorithms; Objective Perturbation; Mathematical Methods
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      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

      By: Carliss Y. Baldwin
      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
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      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
      Keywords: Borrowing and Debt; Small Business; Race; Financing and Loans
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      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
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      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
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      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
      Keywords: Product Launch; Product Positioning; Sales; Strategy; Marketing Strategy; Retail Industry; Technology Industry
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      Alvarez, Jose, and Julia Kelley. "Index." Harvard Business School Case 518-038, January 2018. (Revised November 2018.)
      • 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
      Keywords: by Rachel Layne; Information Technology; Technology

        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
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