Filter Results:
(583)
Show Results For
- All HBS Web
(2,767)
- Faculty Publications (583)
Show Results For
- All HBS Web
(2,767)
- Faculty Publications (583)
Page 1 of 583
Results →
- December 2024
- Article
Coordinating the Energy Transition: Electrifying Transportation in California and Germany
By: Nicholas Goedeking and Jonas Meckling
California and Germany share ambitious emission reduction targets. Yet California is ahead of Germany in electrifying transportation by several metrics, including the number of public charging stations. We show that variation in the politics of coordination in... View Details
Keywords: Electric Vehicles; Coordination; Technology Adoption; Infrastructure; Transportation; Government and Politics; Energy; Utilities Industry; Germany; California
Goedeking, Nicholas, and Jonas Meckling. "Coordinating the Energy Transition: Electrifying Transportation in California and Germany." Art. 114321. Energy Policy 195 (December 2024).
- 2024
- Working Paper
Global Evidence on Gender Gaps and Generative AI
By: Nicholas G. Otis, Solène Delecourt, Katelynn Cranney and Rembrand Koning
Generative AI has the potential to transform productivity and reduce inequality, but only if used broadly. In this paper, we show that recently identified gender gaps in AI use are nearly universal. Synthesizing evidence from 16 studies that surveyed 100,000... View Details
Otis, Nicholas G., Solène Delecourt, Katelynn Cranney, and Rembrand Koning. "Global Evidence on Gender Gaps and Generative AI." Harvard Business School Working Paper, No. 25-023, October 2024.
- 2024
- Working Paper
The Effect of a System for Sharing Best Practices Within Pre-existing Peer Networks
By: Shelley Xin Li and Tatiana Sandino
Peer networks, such as enterprise social networks (ESNs), can facilitate knowledge transfer across employees. However, such systems can also lead to information overload or difficulty in finding useful information. We examine data from a natural field experiment where... View Details
Li, Shelley Xin, and Tatiana Sandino. "The Effect of a System for Sharing Best Practices Within Pre-existing Peer Networks." Working Paper, October 2024.
- September 2024
- Case
Eat App: Building and Monetizing an End-to-End Dining Experience Solution
By: Elie Ofek and Ahmed Dahawy
Founded in 2015 in Bahrain, Eat App was an up-and-coming player in the global restaurant management software business. In early 2024, having shifted to a product-led growth strategy, the company’s co-founders faced a host of decisions that could greatly impact their... View Details
Keywords: Price; Growth and Development Strategy; Product Marketing; Negotiation Deal; Internet and the Web; Value Creation; Food and Beverage Industry; Technology Industry; Bahrain; United Arab Emirates; Abu Dhabi; Dubai
Ofek, Elie, and Ahmed Dahawy. "Eat App: Building and Monetizing an End-to-End Dining Experience Solution." Harvard Business School Case 525-019, September 2024.
- 2024
- Working Paper
The New Digital Divide
By: Mayana Pereira, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia and Juan Lavista Ferres
We build and analyze new metrics of digital usage that leverage telemetry data collected by Microsoft during operating system updates across forty million Windows devices in U.S. households. These measures of US household digital usage are much more comprehensive than... View Details
Keywords: Mathematical Methods; Measurement and Metrics; Geographic Location; Behavior; Technology Adoption; Demographics
Pereira, Mayana, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia, and Juan Lavista Ferres. "The New Digital Divide." NBER Working Paper Series, No. 32932, September 2024.
- June 2024
- Case
SnapTravel: Betting on 'Super.com'
By: Reza Satchu and Tom Quinn
This case explores SnapTravel, a travel startup offering discounted hotel rooms, and its founders’ desire to pivot to a “super app” that saved customers money across many different purchase types. During the COVID-19 pandemic, Hussein Fazal and Henry Shi saw SnapTravel... View Details
Keywords: Business Growth and Maturation; Business Plan; Business Startups; Change Management; Disruption; Transformation; Volatility; Customer Focus and Relationships; Customer Value and Value Chain; Decisions; Income; Entrepreneurship; Geographic Scope; Cross-Cultural and Cross-Border Issues; Health Pandemics; Surveys; Knowledge Acquisition; Knowledge Use and Leverage; Leading Change; Crisis Management; Goals and Objectives; Risk Management; Consumer Behavior; Game Theory; Risk and Uncertainty; Adaptation; Diversification; Expansion; System Shocks; Accommodations Industry; Technology Industry; Canada; United States; Las Vegas
- June 2024
- Teaching Note
Beamery: Using Skills and AI to Modernize HR
By: Boris Groysberg, David Lane, Susan Pinckney and Alexis Lefort
Teaching Note for HBS Case No. 424-004. Unicorn human relationships startup Beamery evaluates it growth versus depth strategy as its strategic partners and customers could become future competitors in a quickly changing AI based human resources and talent management... View Details
Keywords: Analysis; Business Growth and Maturation; Business Model; Business Startups; Business Plan; Disruption; Transformation; Talent and Talent Management; Decisions; Diversity; Ethnicity; Gender; Nationality; Race; Residency; Higher Education; Learning; Entrepreneurship; Fairness; Cross-Cultural and Cross-Border Issues; Global Strategy; Growth and Development; AI and Machine Learning; Digital Platforms; Disruptive Innovation; Technological Innovation; Job Offer; Job Search; Knowledge Acquisition; Knowledge Use and Leverage; Product; Mission and Purpose; Strategic Planning; Problems and Challenges; Corporate Strategy; Equality and Inequality; Valuation; Value Creation; Employment Industry; United Kingdom
- 2024
- Working Paper
Don’t Expect Juniors to Teach Senior Professionals to Use Generative AI: Emerging Technology Risks and Novice AI Risk Mitigation Tactics
By: Katherine C. Kellogg, Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon and Karim R. Lakhani
The literature on communities of practice demonstrates that a proven way for senior professionals to upskill
themselves in the use of new technologies that undermine existing expertise is to learn from junior
professionals. It notes that juniors may be better able... View Details
Kellogg, Katherine C., Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon, and Karim R. Lakhani. "Don’t Expect Juniors to Teach Senior Professionals to Use Generative AI: Emerging Technology Risks and Novice AI Risk Mitigation Tactics." Harvard Business School Working Paper, No. 24-074, June 2024.
- May 2, 2024
- Article
Require Hospitals to Disclose Their Pandemic Plans Now
By: Regina E. Herzlinger, Richard J. Boxer and Ben Creo
The COVID-19 pandemic demonstrated that U.S. hospital and health care systems were ill-prepared for the surge of patients who overwhelmed available health care resources. An overlooked resource deserves more attention: the availability of intensive care unit (ICU)... View Details
Keywords: COVID-19 Pandemic; Crisis Management; Knowledge Sharing; Governance Compliance; Planning; Health Industry; United States
Herzlinger, Regina E., Richard J. Boxer, and Ben Creo. "Require Hospitals to Disclose Their Pandemic Plans Now." Health Affairs Forefront (May 2, 2024).
- April 2024
- Article
A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification
By: Hsin-Hsiao Scott Wang, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow and Caleb Nelson
Backgrounds: Urinary Tract Dilation (UTD) classification has been designed to be a more objective grading system to evaluate antenatal and post-natal UTD. Due to unclear association between UTD classifications to specific anomalies such as vesico-ureteral reflux (VUR),... View Details
Wang, Hsin-Hsiao Scott, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow, and Caleb Nelson. "A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification." Journal of Pediatric Urology 20, no. 2 (April 2024): 271–278.
- March 7, 2024
- Article
Integrating Digital Tools into Every Stage of Your Sales Strategy
By: Frank V. Cespedes and Georg Krentzel
In their growth and customer-acquisition activities, most companies now face twin challenges: understanding and responding to omni-channel buying behavior and doing that without inadvertently decreasing sales productivity. Thirty years ago, Peter Drucker noted that... View Details
Keywords: Sales Management; Digital Tools; Sales; Marketing Channels; Technology Adoption; Brands and Branding
Cespedes, Frank V., and Georg Krentzel. "Integrating Digital Tools into Every Stage of Your Sales Strategy." Harvard Business Review (website) (March 7, 2024).
- March 2024 (Revised June 2024)
- Case
Governing OpenAI (A)
By: Lynn S. Paine, Suraj Srinivasan and Will Hurwitz
In late November 2023, OpenAI’s new board of directors took stock of the situation. The company, which sought to develop artificial general intelligence (AGI)—computer systems with capabilities exceeding human abilities—was looking to regain its footing after a chaotic... View Details
Keywords: Artificial Intelligence; Board Of Directors; Board Decisions; Board Dynamics; Corporate Boards; Governance Changes; Governance Structure; Leadership Change; Legal Aspects Of Business; Nonprofit Governance; Strategy And Execution; Technological Change; AI and Machine Learning; Corporate Governance; Leadership; Management; Mission and Purpose; Technological Innovation; Governing Rules, Regulations, and Reforms; Governing and Advisory Boards; Resignation and Termination; Ethics; Nonprofit Organizations; Open Source Distribution; Partners and Partnerships; Technology Industry; San Francisco; United States
Paine, Lynn S., Suraj Srinivasan, and Will Hurwitz. "Governing OpenAI (A)." Harvard Business School Case 324-103, March 2024. (Revised June 2024.)
- December 2023
- Case
TikTok: The Algorithm Will See You Now
By: Shikhar Ghosh and Shweta Bagai
In a world where attention is a scarce commodity, this case explores the meteoric rise of TikTok—an app that transformed from a niche platform for teens into the most visited domain by 2021—surpassing even Google. Its algorithm was a sophisticated mechanism for... View Details
Keywords: Social Media; Applications and Software; Disruptive Innovation; Business and Government Relations; International Relations; Cybersecurity; Culture; Technology Industry; China; United States; India
Ghosh, Shikhar, and Shweta Bagai. "TikTok: The Algorithm Will See You Now." Harvard Business School Case 824-125, December 2023.
- December 2023 (Revised December 2023)
- Case
Research In Motion: Launching and Scaling the World's First Smartphone Empire (A)
By: Tatiana Sandino and Samuel Grad
In 2005, Research In Motion’s (RIM) BlackBerry smartphone was a sensation. After its launch in 1999, the groundbreaking BlackBerry had captured the hearts and minds of corporate America through its secure wireless email service. The device was so addictive and... View Details
Keywords: Business Growth and Maturation; Decision Choices and Conditions; Mobile and Wireless Technology; Innovation and Management; Technological Innovation; Business or Company Management; Management Style; Product Development; Managerial Roles; Growth and Development Strategy; Technology Industry; United States; Canada
Sandino, Tatiana, and Samuel Grad. "Research In Motion: Launching and Scaling the World's First Smartphone Empire (A)." Harvard Business School Case 124-023, December 2023. (Revised December 2023.)
- 2023
- Article
Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset
By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li
Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details
Keywords: Large Language Model; AI and Machine Learning; Analytics and Data Science; Health Industry
Liu, Junling, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, and Michael Lingzhi Li. "Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
- November 2023
- Case
Open Source Machine Learning at Google
Set in early 2023, the case exposes students to the challenges of managing open source software at Google. The case focuses on the challenges for Alex Spinelli, Vice President of Product Management for Core Machine Learning. He must set priorities for Google’s efforts... View Details
Keywords: Decision Choices and Conditions; Technological Innovation; Open Source Distribution; Strategy; AI and Machine Learning; Applications and Software; Technology Industry; United States
Greenstein, Shane, Martin Wattenberg, Fernanda B. Viégas, Daniel Yue, and James Barnett. "Open Source Machine Learning at Google." Harvard Business School Case 624-015, November 2023.
- 2023
- Book
How the Harvard Business School Changed the Way We View Organizations
By: Jay W. Lorsch
The story of the field of organizational behavior (which overlaps considerably with the origin story of Harvard Business School) and how it created the “medical model” of systems thinking—anchored in the practices of listening, observing, testing, and only then... View Details
Keywords: Organizational Behavior; Systems Thinking; Medical Model; Organizations; Behavior; System; History
Lorsch, Jay W. How the Harvard Business School Changed the Way We View Organizations. Business Expert Press, 2023.
- November–December 2023
- Article
Look the Part? The Role of Profile Pictures in Online Labor Markets
By: Isamar Troncoso and Lan Luo
Profile pictures are a key component of many freelancing platforms, a design choice that can impact hiring and matching outcomes. In this paper, we examine how appearance-based perceptions of a freelancer’s fit for the job (i.e., whether a freelancer "looks the part"... View Details
Keywords: Freelancers; Gig Workers; Demographics; Prejudice and Bias; Selection and Staffing; Jobs and Positions; Analytics and Data Science
Troncoso, Isamar, and Lan Luo. "Look the Part? The Role of Profile Pictures in Online Labor Markets." Marketing Science 42, no. 6 (November–December 2023): 1080–1100.
- November 2023
- Article
Psychological Factors Underlying Attitudes toward AI Tools
By: Julian De Freitas, Stuti Agarwal, B. Schmitt and N. Haslam
What are the psychological factors driving attitudes toward AI tools, and how can resistance to AI systems be overcome when they are beneficial? In this perspective, we first organize the main sources of resistance into five main categories: opacity, emotionlessness,... View Details
De Freitas, Julian, Stuti Agarwal, B. Schmitt, and N. Haslam. "Psychological Factors Underlying Attitudes toward AI Tools." Nature Human Behaviour 7, no. 11 (November 2023): 1845–1854.
- 2023
- Working Paper
Toward a Better Understanding of Open Ecosystems: Implications for Policymakers
By: Feng Zhu and Carmelo Cennamo
The digital realm is undergoing a significant transformation, marked by the emergence of platform
business models and the concept of open ecosystems. This paper delves into the intricate nature of
ecosystem openness, underscoring the point that the openness of... View Details
Zhu, Feng, and Carmelo Cennamo. "Toward a Better Understanding of Open Ecosystems: Implications for Policymakers." Working Paper, November 2023.