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- All HBS Web
(120,068)
- Faculty Publications (2,964)
- 1 Jan 1969
- Conference Presentation
Vehicles for the International Transfer of Technology
By: Louis T Wells Jr
- 2012
- Case
Advanced Leadership Pathways: Richard Fahey and Robert Saudek (A): Lighting Liberia
By: Rosabeth M. Kanter and Anne Arlinghaus
After successful careers as lawyers Richard Fahey and Robert Saudek set out to tackle a large-scale infrastructure challenge in a complex environment by increasing Liberian citizens’ access to lighting solutions. They developed the Liberian Energy Network, which aimed... View Details
Keywords: Solar; Solar Power; Electricity; Clean Technology; Scaling-up; Economic Development; Partnerships; Sustainability; Innovation; Leadership Skills; Renewable Energy; Energy; Infrastructure; Information Technology; Economy; Partners and Partnerships; Distribution; Innovation Leadership; Leadership; Energy Industry; Africa; Liberia
Kanter, Rosabeth M., and Anne Arlinghaus. "Advanced Leadership Pathways: Richard Fahey and Robert Saudek (A): Lighting Liberia." Harvard Business School Case 313-032, 2012. (Advanced Leadership Initiative.)
- Article
AI Companions Reduce Loneliness
By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet K. Uğuralp and Stefano Puntoni
Chatbots are now able to engage in sophisticated conversations with consumers in the domain of relationships, providing a potential coping solution to widescale societal loneliness. Behavioral research provides little insight into whether these applications are... View Details
- Forthcoming
- Article
An AI Method to Score Celebrity Visual Potential from Human Faces
By: Flora Feng, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan and Cait Lamberton
It has long been a mantra of marketing practice that, particularly in low-involvement situations, spokespeople should be physically attractive. This paper suggests there is a higher probability of gaining fame and influence (i.e., celebrity potential) than is captured... View Details
Feng, Flora, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan, and Cait Lamberton. "An AI Method to Score Celebrity Visual Potential from Human Faces." Journal of Marketing Research (JMR) (forthcoming). (Pre-published online February 12, 2025.)
- Forthcoming
- Article
Beefing IT Up for Your Investor? Engagement with Open Source Communities, Innovation, and Startup Funding: Evidence from GitHub
By: Annamaria Conti, Christian Peukert and Maria P. Roche
We study the engagement of nascent firms with open source communities and its implications for innovation and attracting funding. To do so, we link data on 160,065 U.S. startups from Crunchbase to their activities on the open source software development platform... View Details
Keywords: Startups; Knowledge; Open Source Communities; GitHub; Machine Learning; Innovation; Business Startups; Venture Capital; Information Technology; Strategy
Conti, Annamaria, Christian Peukert, and Maria P. Roche. "Beefing IT Up for Your Investor? Engagement with Open Source Communities, Innovation, and Startup Funding: Evidence from GitHub." Organization Science (forthcoming). (Pre-published online March 7, 2025.)
- Forthcoming
- Book
Blockchain Forensics and Crypto-Related Cybercrimes
By: Lin William Cong, Kim Grauer, Daniel Rabetti and Henry Updegrave
This handbook provides an overview of various criminal activities related to cryptocurrencies, including investment scams, Ponzi schemes, rug pulls, ransomware attacks, money laundering, and darknet markets. We discuss the need for user protection and education,... View Details
Keywords: Cyberattacks; Blockchain; Network; Cryptocurrency; Crime and Corruption; Cybersecurity; Governing Rules, Regulations, and Reforms; Law Enforcement; Technology Adoption
Cong, Lin William, Kim Grauer, Daniel Rabetti, and Henry Updegrave. Blockchain Forensics and Crypto-Related Cybercrimes. World Scientific Publishing, forthcoming.
- Forthcoming
- Article
Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data
By: AJ Chen, Omri Even-Tov, Jung Koo Kang and Regina Wittenberg-Moerman
To mitigate information asymmetry about borrowers in developing economies, digital lenders use machine-learning algorithms and nontraditional data from borrowers’ mobile devices. Consequently, digital lenders have managed to expand access to credit for millions of... View Details
Keywords: Informal Economy; Digital Banking; Mobile Phones; Developing Countries and Economies; Mobile and Wireless Technology; AI and Machine Learning; Analytics and Data Science; Credit; Borrowing and Debt; Well-being; Banking Industry; Kenya
Chen, AJ, Omri Even-Tov, Jung Koo Kang, and Regina Wittenberg-Moerman. "Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data." Accounting Review (forthcoming). (Pre-published online April 22, 2025.)
- Forthcoming
- Article
Engaging Customers with AI in Online Chats: Evidence from a Randomized Field Experiment
By: Shunyuan Zhang and Das Narayandas
We examine how artificial intelligence (AI) affected the productivity of customer service agents and customer sentiment in online interactions. Collaborating with a meal delivery company, we conducted a randomized field experiment that exploited exogenous variation in... View Details
- Forthcoming
- Article
FinTech Lending and Cashless Payments
By: Pulak Ghosh, Boris Vallée and Yao Zeng
Borrower's use of cashless payments both improves their access to capital from FinTech lenders and predicts a lower probability of default. These relationships are stronger for cashless technologies providing more precise information, and for outflows. Cashless payment... View Details
- Forthcoming
- Article
Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming). (Pre-published online March 24, 2025.)
- Teaching Interest
Overview
Public entrepreneurship, entrepreneurship, leadership, business and government, cities, artificial intelligence View Details
- Teaching Interest
Overview
Professor Bernstein currently teaches a second-year MBA course in Managing Human Capital (MHC). He is also the faculty chair for the Harvard Business School Online Developing Yourself as a Leader course and teaches in a variety of executive education... View Details
Keywords: Leadership; Leadership Development; Leadership Style; Innovation Leadership; Management Practices and Processes; Management Succession; Management Style; Management Systems; Management Teams; Managerial Roles; Organizations; Organizational Culture; Organizational Design; Organizational Structure; Mission and Purpose; Organizational Change and Adaptation; Performance; Information Technology; Strategy; Human Resources; Compensation and Benefits; Employees; Recruitment; Resignation and Termination; Retention; Selection and Staffing
- Teaching Interest
Overview
By: V.G. Narayanan
I teach accounting to MBA students, executives, and Harvard Extension School students. I teach topics from both financial and managerial accounting. I also train professors in teaching by the case method. View Details
- Research Summary
Overview
By: Frank Nagle
Professor Nagle studies how competitors can collaborate on the creation of core technologies, while still competing on the products and services built on top of them. His research falls into the broader categories of the futures of work, the economics of IT, and... View Details
- Research Summary
Overview
By: John A. Deighton
Professor Deighton conducts research at the intersection of information technology and marketing. He is interested in the complementary uses of human and artificial intelligence and creativity in areas such as advertising, content creation, and online retailing. He... View Details
- Research Summary
Overview
By: Antonio Moreno
Professor Moreno’s research explores how digital technologies are reshaping operational processes, with a particular focus on retail and service industries. His early work examined omnichannel retail—the integration of online and offline channels to create seamless... View Details
- Research Summary
Overview
Winner of the Harvard Business School outstanding teacher award and research awards from U.S. and international health care and accounting organizations: 2016 “60 of the Most Powerful People in Healthcare in 2016,” Becker’s Hospital Review, January 3, 2017 ; 2014 ... View Details
- Article
Paradise Lost (and Restored?): A Study of Psychological Safety over Time
By: Derrick P. Bransby, Michaela Kerrissey and Amy C. Edmondson
Although prior research indicates that psychological safety can fluctuate, questions about when and why remain. To gain insights into the emergence and temporal dynamics of psychological safety, we explored longitudinal data representing more than 10,000 health care... View Details
Keywords: Analytics and Data Science; Research; Attitudes; Working Conditions; Well-being; Health Industry
Bransby, Derrick P., Michaela Kerrissey, and Amy C. Edmondson. "Paradise Lost (and Restored?): A Study of Psychological Safety over Time." Academy of Management Discoveries (in press). (Pre-published online March 14, 2024.)
- Research Summary
Reinvention and “Frame Flexibility”
Adopting a radical innovation creates pressure for leaders to reframe their mental models while they also sustain their organization's existing capabilities and product category variants. Yet at key junctures in a product class and during technological change, a... View Details
- Forthcoming
- Article
Slowly Varying Regression Under Sparsity
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami
We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem... View Details
Bertsimas, Dimitris, Vassilis Digalakis Jr, Michael Lingzhi Li, and Omar Skali Lami. "Slowly Varying Regression Under Sparsity." Operations Research (forthcoming). (Pre-published online March 27, 2024.)