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(761)
- News (203)
- Research (421)
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- Faculty Publications (283)
Show Results For
- All HBS Web
(761)
- News (203)
- Research (421)
- Events (3)
- Multimedia (7)
- Faculty Publications (283)
- 2022
- Working Paper
Banking on Transparency for the Poor: Experimental Evidence from India
By: Erica M. Field, Natalia Rigol, Charity M. Troyer Moore, Rohini Pande and Simone G. Schaner
Do information frictions limit the benefits of financial inclusion drives for the rural poor? We evaluate an experimental intervention among recently banked poor Indian women receiving government cash transfers via direct deposit. Treated women were provided automated... View Details
Field, Erica M., Natalia Rigol, Charity M. Troyer Moore, Rohini Pande, and Simone G. Schaner. "Banking on Transparency for the Poor: Experimental Evidence from India." NBER Working Paper Series, No. 30289, July 2022.
- November 2020
- Case
Truebird—An AlleyCorp Venture
By: Shikhar Ghosh and Shweta Bagai
In December 2018, Kevin Ryan and Wendy Tsu faced an important decision – to finalize the CEO candidate for Truebird, an innovative, automated coffee café concept. Like many of AlleyCorp and Ryan’s companies, Truebird started with the observation of an unmet need – an... View Details
Keywords: Startup; Hiring; Staffing; Recruiting; Business Startups; Finance; Leadership; Management Skills; Management Teams; Jobs and Positions; Job Interviews; Human Resources; Recruitment; Selection and Staffing; Food and Beverage Industry; Food and Beverage Industry; United States
Ghosh, Shikhar, and Shweta Bagai. "Truebird—An AlleyCorp Venture." Harvard Business School Case 821-030, November 2020.
- September 2018
- Case
Kevin Ryan Inc.
By: Shikhar Ghosh and Greg Marsh
The case focuses on the hiring process for a CEO. Kevin Ryan had a solid trajectory as a serial entrepreneur of well-known ventures like Gilt Group, DoubleClick, Business Insider, among others. Ryan tended to involve himself in all aspects of his ventures: ideation,... View Details
Keywords: Hiring; Team Building; Interviews; CEO; Human Resources; Selection and Staffing; Entrepreneurship; Business Startups; United States; North America
Ghosh, Shikhar, and Greg Marsh. "Kevin Ryan Inc." Harvard Business School Case 819-047, September 2018.
- May 2016 (Revised April 2018)
- Case
Building the Digital Manufacturing Enterprise of the Future at Siemens
By: Willy Shih
This case describes the motivation for and the development of Siemens' digital manufacturing enterprise vision, which became the foundation for its implementation of Industrie 4.0. While the effort started with a purely defensive move by Anton Huber, head of the... View Details
Keywords: Big Data; Internet Of Things; Internet Of Everything; Industrie 4.0; Digital Factory; Digital Enterprise; Digital Manufacturing; Manufacturing; Production Management; Production Planning; Computer Software; Germany; German Manufacturing; Machinery and Machining; Information Technology; Digital Platforms; Technological Innovation; Production; Supply Chain; Applications and Software; Information Infrastructure; Internet and the Web; Analytics and Data Science; Manufacturing Industry; Germany
Shih, Willy. "Building the Digital Manufacturing Enterprise of the Future at Siemens." Harvard Business School Case 616-060, May 2016. (Revised April 2018.)
- February 1991
- Case
Burlington Northern: The ARES Decision (A)
By: Julie H. Hertenstein and Robert S. Kaplan
Burlington Northern's decision whether to invest in ARES, an automated train control system, is a ($350 million) strategic investment in information technology. Although set in a service industry (railroad) the issues around this decision arise in many organizations... View Details
Keywords: Investment; Rail Transportation; Information Technology; Competitive Strategy; Performance Evaluation; Performance Effectiveness; Cost vs Benefits; Technology Adoption; Technological Innovation; Customers; Quality; Rail Industry
Hertenstein, Julie H., and Robert S. Kaplan. "Burlington Northern: The ARES Decision (A)." Harvard Business School Case 191-122, February 1991.
- 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
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.
- 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.
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
- Program
Competing in the Age of AI—Virtual
the creation of algorithms, software infrastructure, data pipelines, and experimentation platforms Guide your organization in the development of sophisticated data platforms and artificial intelligence... View Details
- February 2001 (Revised March 2003)
- Case
Extricity Inc.
Extricity provides software that triggers and automates information flows between collaborating businesses. Its products interface with the legacy information systems already in use by customers, extract information from them, and send this information over the... View Details
Keywords: Product Positioning; Internet and the Web; Information Technology; Applications and Software; Information Technology Industry
McAfee, Andrew P., and Gregory Bounds. "Extricity Inc." Harvard Business School Case 601-113, February 2001. (Revised March 2003.)
- 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
- 12 Oct 2022
- Video
Ifeoma Ajunwa: Limitless Boundaries of Employee Surveillance
- 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.)
- 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
- 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.
- 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.
- 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).
- 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.