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Show Results For
- All HBS Web
(654)
- News (179)
- Research (368)
- Events (6)
- Multimedia (13)
- Faculty Publications (268)
- November 2024
- Background Note
Nonprofit Governance: Some Basics
By: Lynn S. Paine and Will Hurwitz
This background note discusses basics about the prevalence, purpose, and unique legal, governance and regulatory dynamics of nonprofits and their boards of directors. The note describes both similarities and differences between for-profit and non-profit governance,... View Details
Keywords: Corporate Governance; Leadership; Mission and Purpose; Nonprofit Organizations; Governing Rules, Regulations, and Reforms; Governing and Advisory Boards; United States
Paine, Lynn S., and Will Hurwitz. "Nonprofit Governance: Some Basics." Harvard Business School Background Note 325-067, November 2024.
Himabindu Lakkaraju
Himabindu "Hima" Lakkaraju is an Assistant Professor of Business Administration at Harvard Business School. She is also a faculty affiliate in the Department of Computer Science at Harvard University, the Harvard Data Science Initiative, Center for Research on... View Details
- September 2020 (Revised July 2021)
- Case
Moderna (A)
By: Marco Iansiti, Karim R. Lakhani, Hannah Mayer and Kerry Herman
In summer 2020, Stephane Bancel, CEO of biotech firm Moderna, faces several challenges as his company races to develop a vaccine for COVID-19. The case explores how a company builds a digital organization, and leverages artificial intelligence and other digital... View Details
Keywords: COVID-19; Vaccine; Digital Organizations; Organizational Structure; Operations; Management; Health Pandemics; Research and Development; Goals and Objectives
Iansiti, Marco, Karim R. Lakhani, Hannah Mayer, and Kerry Herman. "Moderna (A)." Harvard Business School Case 621-032, September 2020. (Revised July 2021.)
- December 2021
- Case
Burning Glass Technologies: From Data to Product
By: Suraj Srinivasan and Amy Klopfenstein
In May 2021, Matt Sigelman, CEO of Burning Glass Technologies, a company that provided labor market analytics for a variety of markets, navigates his company’s transition from data company to product company. Burning Glass originated as a service that used artificial... View Details
Keywords: Information Technology; Applications and Software; Digital Platforms; Internet and the Web; Strategy; Expansion; Business Strategy; Labor; Employment; Human Capital; Jobs and Positions; Job Design and Levels; Job Search; Human Resources; Selection and Staffing; Recruitment; Employees; Retention; Competency and Skills; Experience and Expertise; Talent and Talent Management; Analytics and Data Science; Business Model; Technology Industry; North and Central America; United States
Srinivasan, Suraj, and Amy Klopfenstein. "Burning Glass Technologies: From Data to Product." Harvard Business School Case 122-015, December 2021.
- 18–19 Nov 2022
- HBS Alumni Events
D^3 Catalyst: Building AI Companies
The Building AI Companies D^3 Catalyst Program is focused on the opportunities and challenges created by the digital transformation of our economy, and the emergence of digital networks and artificial intelligence (AI) as a foundation of the modern organization - both... View Details
- November 2020 (Revised March 2021)
- Case
Sercomm: Operating in China Amid COVID-19 and Beyond
The COVID-19 pandemic had forced a production cut in the factory of Sercomm, one of the world’s major telecom equipment producers, in China. The case explores and highlights the challenges that Chief Executive Officer James Wang faced: How could Sercomm recover and... View Details
Keywords: Emerging Markets; Information Technology; Operations; Management; Health Pandemics; Strategy; Telecommunications Industry; Manufacturing Industry; China
Choudhury, Prithwiraj, Gary P. Pisano, and Bonnie Yining Cao. "Sercomm: Operating in China Amid COVID-19 and Beyond." Harvard Business School Case 621-005, November 2020. (Revised March 2021.)
- September 29, 2023
- Article
Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI
By: Simon Friis and James Riley
When it comes to artificial intelligence and inequality, algorithmic bias rightly receives a lot of attention. But it’s just one way that AI can lead to inequitable outcomes. To truly create equitable AI, we need to consider three forces through which it might make... View Details
Friis, Simon, and James Riley. "Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI." Harvard Business Review (website) (September 29, 2023).
- 20 Apr 2020
- News
Digital Transformation: Business Leaders Still Struggling to Cope
- 2024
- Working Paper
The Crowdless Future? Generative AI and Creative Problem Solving
The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy... View Details
Keywords: Large Language Models; Crowdsourcing; Generative Ai; Creative Problem-solving; Organizational Search; AI-in-the-loop; Prompt Engineering; AI and Machine Learning; Innovation and Invention
Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? Generative AI and Creative Problem Solving." Harvard Business School Working Paper, No. 24-005, July 2023. (Revised July 2024.)
- 12 Oct 2022
- Video
James Mickens: Why All Data Science is Political
- 12 Oct 2022
- Video
Brandeis Marshall: The Potential for Data Equity
- September 2024
- Exercise
Finding Your 'Jagged Frontier': A Generative AI Exercise
By: Mitchell Weiss
In 2023 a set of scholars set out to study the effect of artificial intelligence (AI) on the quality and productivity of knowledge workers—in this specific instance, management consultants. They wanted to know across a range of tasks in a workflow, which, if any, would... View Details
Keywords: AI and Machine Learning; Performance Productivity; Performance Evaluation; Consulting Industry
Weiss, Mitchell. "Finding Your 'Jagged Frontier': A Generative AI Exercise." Harvard Business School Exercise 825-070, September 2024.
- August 2020
- Article
Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation
By: Prithwiraj Choudhury, Evan Starr and Rajshree Agarwal
The use of machine learning (ML) for productivity in the knowledge economy requires considerations of important biases that may arise from ML predictions. We define a new source of bias related to incompleteness in real time inputs, which may result from strategic... View Details
Choudhury, Prithwiraj, Evan Starr, and Rajshree Agarwal. "Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation." Strategic Management Journal 41, no. 8 (August 2020): 1381–1411.
- September 2017
- Case
Tencent
By: John R. Wells and Gabriel Ellsworth
Tencent had undergone many transformations since it was founded in 1998 as a simple messaging service. In 2017, it was the largest online games provider in China with a wide range of game types, China’s largest social networking service provider with several of the... View Details
Keywords: Tencent; Tencent Holdings; WeChat; Social Networking; Social Networks; Gaming; Gaming Industry; Video Games; Computer Games; Mobile Gaming; Portals; Payments; Mobile Payments; O2O; Online-to-offline; E-commerce; Messaging; Subscription Model; Freemium; Mobile App Industry; Smartphone; PC; Monetization Strategy; Antitrust; Streaming; Cloud Computing; Artificial Intelligence; Big Data; Alibaba; Facebook; JD.com; Tesla; Bundling; Synergies; Digital Strategy; Imitation; Licensing; Agility; Entry Barriers; Online Platforms; Advertising; Digital Marketing; Business Ventures; Acquisition; Mergers and Acquisitions; Business Conglomerates; Business Units; Business Growth and Maturation; Business Organization; For-Profit Firms; Joint Ventures; Restructuring; Communication; Communication Technology; Blogs; Interactive Communication; Interpersonal Communication; Entertainment; Film Entertainment; Games, Gaming, and Gambling; Music Entertainment; Investment; Investment Portfolio; Price; Profit; Revenue; Geographic Scope; Cross-Cultural and Cross-Border Issues; Global Strategy; Multinational Firms and Management; Globalized Markets and Industries; Business History; Innovation Strategy; Technological Innovation; Business or Company Management; Goals and Objectives; Growth and Development Strategy; Product Positioning; Social Marketing; Network Effects; Emerging Markets; Market Entry and Exit; Digital Platforms; Industry Growth; Monopoly; Media; Distribution Channels; Product Development; Service Delivery; Organizational Change and Adaptation; Organizational Structure; Public Ownership; Problems and Challenges; Business and Government Relations; Groups and Teams; Networks; Opportunities; Social and Collaborative Networks; Strategy; Adaptation; Business Strategy; Commercialization; Competition; Competitive Advantage; Competitive Strategy; Cooperation; Corporate Strategy; Diversification; Expansion; Horizontal Integration; Vertical Integration; Segmentation; Information Technology; Internet and the Web; Mobile and Wireless Technology; Internet and the Web; Applications and Software; Information Infrastructure; Digital Platforms; Internet and the Web; Mobile and Wireless Technology; Value Creation; Communications Industry; Entertainment and Recreation Industry; Financial Services Industry; Information Industry; Information Technology Industry; Media and Broadcasting Industry; Motion Pictures and Video Industry; Music Industry; Service Industry; Technology Industry; Telecommunications Industry; Video Game Industry; Web Services Industry; Asia; China; Canton (province, China)
Wells, John R., and Gabriel Ellsworth. "Tencent." Harvard Business School Case 718-426, September 2017.
- 23 Mar 2023
- HBS Seminar
Tinglong Dai, Johns Hopkins
- 14 Mar 2023
- Cold Call Podcast
Can AI and Machine Learning Help Park Rangers Prevent Poaching?
- 10 Jan 2020
- News
Competing in the Age of AI
- July 2024
- Article
AI, ROI, and Sales Productivity
Artificial intelligence (AI) is now a loose term for many different things and at the peak of its hype curve. So managers hitch-their-pitch to the term in arguing for resources. But like any technology, its business value depends upon actionable use cases embraced by... View Details
Cespedes, Frank V. "AI, ROI, and Sales Productivity." Top Sales Magazine (July 2024), 12–13.
- October 2023 (Revised January 2025)
- Case
Sydney Loves Kevin
By: Ryan W. Buell and Himabindu Lakkaraju
Kevin Roose was a columnist and podcast host for the New York Times, who focused on technology and its effects on society. When Microsoft launched the latest version of its search engine Bing in February 2023, the company invited Roose to its Redmond campus to... View Details