Filter Results:
(1,082)
Show Results For
- All HBS Web
(5,741)
- Faculty Publications (1,082)
Show Results For
- All HBS Web
(5,741)
- Faculty Publications (1,082)
Page 1 of 1,082
Results →
- 2024
- Working Paper
Why Most Resist AI Companions
By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp and Stefano Puntoni
Chatbots are now able to form emotional relationships with people and alleviate loneliness—a growing public health concern. Behavioral research provides little insight into whether everyday people are likely to use these applications and why. We address this question... View Details
De Freitas, Julian, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp, and Stefano Puntoni. "Why Most Resist AI Companions." Harvard Business School Working Paper, No. 25-030, December 2024.
- October 2024
- Teaching Plan
Teamworks: Tackling a Forecasting Fumble
By: Lou Shipley and Stacy Straaberg
In late March 2018, Teamworks CEO Zach Maurides learned Q1 2018 sales were at risk for a large forecasting miss. Founded in 2004, Teamworks’s software application assisted support staff in messaging, scheduling, and sharing documents with collegiate and professional... View Details
Keywords: Acquisition; Business Growth and Maturation; Communication Strategy; Decisions; Forecasting and Prediction; Business Cycles; Technological Innovation; Sports; Growth and Development Strategy; Resource Allocation; Marketing; Sales; Business Strategy; Expansion; Sports Industry; Technology Industry; United States; North Carolina
- 2024
- Working Paper
Generative AI and the Nature of Work
By: Manuel Hoffmann, Sam Boysel, Frank Nagle, Sida Peng and Kevin Xu
Recent advances in artificial intelligence (AI) technology demonstrate considerable potential to
complement human capital intensive activities. While an emerging literature documents wide-ranging productivity
effects of AI, relatively little attention has been paid... View Details
Keywords: Generative Ai; Digital Work; Open Source Software; Knowledge Economy; AI and Machine Learning; Open Source Distribution; Organizational Structure; Performance Productivity; Labor
Hoffmann, Manuel, Sam Boysel, Frank Nagle, Sida Peng, and Kevin Xu. "Generative AI and the Nature of Work." Harvard Business School Working Paper, No. 25-021, October 2024.
- 2024
- Working Paper
Case Studies of the Emulation of Chinese Entrepreneurial Business Models
By: Josh Lerner, Junxi Liu, Jacob Moscona and David Yang
This working paper presents four short case studies of emerging market businesses whose founders emulated Chinese firms. These examples are part of a more systematic pattern, documented extensively in Lerner et al. (2024), in which businesses developed in China were... View Details
Lerner, Josh, Junxi Liu, Jacob Moscona, and David Yang. "Case Studies of the Emulation of Chinese Entrepreneurial Business Models." Harvard Business School Working Paper, No. 25-017, September 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; Food and Beverage 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
Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python
By: Melissa Ouellet and Michael W. Toffel
This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in... View Details
Keywords: Empirical Methods; Empirical Operations; Statistical Methods And Machine Learning; Statistical Interferences; Research Analysts; Analytics and Data Science; Mathematical Methods
Ouellet, Melissa, and Michael W. Toffel. "Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python." Harvard Business School Working Paper, No. 25-010, August 2024.
- September 2024
- Exercise
Building an AI First Snack Company: A Hands-on Generative AI Exercise
By: Iavor I. Bojinov
Although the term 'Generative AI' (GenAI) is widely recognized, its practical application in daily workflows has yet to be understood. This exercise introduces students to GenAI tools, demonstrating how they can be seamlessly integrated into professional work practices... View Details
Keywords: AI and Machine Learning; Technology Adoption; Marketing Strategy; Product Launch; Brands and Branding
Bojinov, Iavor I. "Building an AI First Snack Company: A Hands-on Generative AI Exercise." Harvard Business School Exercise 625-052, September 2024.
- September 2024
- Case
Nvidia, Inc. in 2024 and the Future of AI
By: David B. Yoffie and Sarah von Bargen
Nvidia was one of the most successful companies in the world, reaching $3.4 trillion in valuation on June 18th, 2024. While Microsoft and Apple quickly recaptured the value crown, some analysts forecasted that Nvidia was so strongly positioned that it might become the... View Details
Yoffie, David B., and Sarah von Bargen. "Nvidia, Inc. in 2024 and the Future of AI." Harvard Business School Case 725-360, September 2024.
- 2024
- Book
Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity
By: Karen G. Mills
The second edition of Fintech, Small Business & the American Dream, builds on the groundbreaking 2019 book with new insights on how technology and artificial intelligence are transforming small business lending. This ambitious view covers the significance of... View Details
Keywords: Fintech; AI; AI and Machine Learning; Small Business; Economy; Technology Adoption; Credit; Financing and Loans; Analytics and Data Science
Mills, Karen G. Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity. 2nd Edition, NY: Palgrave Macmillan, 2024.
- July 2024
- Article
Chatbots and Mental Health: Insights into the Safety of Generative AI
By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp and Stefano Puntoni
Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety... View Details
Keywords: Autonomy; Chatbots; New Technology; Brand Crises; Mental Health; Large Language Model; AI and Machine Learning; Behavior; Well-being; Technological Innovation; Ethics
De Freitas, Julian, Ahmet Kaan Uğuralp, Zeliha Uğuralp, and Stefano Puntoni. "Chatbots and Mental Health: Insights into the Safety of Generative AI." Journal of Consumer Psychology 34, no. 3 (July 2024): 481–491.
- July–August 2024
- Article
Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals
By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response,
which requires identifying differences in customer sensitivity, typically through the conditional average treatment
effect (CATE) estimation. In theory, to... View Details
Keywords: Long-run Targeting; Heterogeneous Treatment Effect; Statistical Surrogacy; Customer Churn; Field Experiments; Consumer Behavior; Customer Focus and Relationships; AI and Machine Learning; Marketing Strategy
Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Marketing Science 43, no. 4 (July–August 2024): 863–884.
- 2024
- Working Paper
Navigating Software Vulnerabilities: Eighteen Years of Evidence from Medium and Large U.S. Organizations
By: Raviv Murciano-Goroff, Ran Zhuo and Shane Greenstein
How prevalent are severe software vulnerabilities, how fast do software users respond to the availability of secure versions, and what determines the variance in the installation distribution? Using the largest dataset ever assembled on user updates, tracking server... View Details
Murciano-Goroff, Raviv, Ran Zhuo, and Shane Greenstein. "Navigating Software Vulnerabilities: Eighteen Years of Evidence from Medium and Large U.S. Organizations." NBER Working Paper Series, No. 32696, July 2024.
- July–August 2024
- Article
The Middle Path to Innovation
By: Regina E. Herzlinger, Duke Rohlen, Ben Creo and Will Kynes
Too many companies are failing to innovate. One reason, say the authors, is the polarized approach companies take to innovation. At one end of the spectrum, corporate R&D efforts tend to focus on product refreshes and incremental line upgrades that generate modest... View Details
Herzlinger, Regina E., Duke Rohlen, Ben Creo, and Will Kynes. "The Middle Path to Innovation." Harvard Business Review 102, no. 4 (July–August 2024): 134–145.
- 2024
- Working Paper
Webmunk: A New Tool for Studying Online Behavior and Digital Platforms
By: Chiara Farronato, Audrey Fradkin and Chris Karr
Understanding the behavior of users online is important for researchers, policymakers, and private companies alike. But observing online behavior and conducting experiments is difficult without direct access to the user base and software of technology companies. We... View Details
Farronato, Chiara, Audrey Fradkin, and Chris Karr. "Webmunk: A New Tool for Studying Online Behavior and Digital Platforms." NBER Working Paper Series, No. 32694, July 2024.
- June 2024
- Case
Growing Foodology into Latin America's Largest Platform for Virtual Restaurants
By: Jorge Tamayo, Rembrand Koning and Jenyfeer Martinez Buitrago
This case delves into the expansion strategy of Foodology, a cloud kitchen startup based in Bogotá that operated across four Latin American countries (Colombia, Brazil, Mexico, and Peru). Co-founders Daniela Izquierdo and Juan Guillermo Azuero (both HBS, 2019) grappled... View Details
Keywords: Entrepreneurship; Food; Digital Platforms; Product Launch; Growth and Development Strategy; Business Strategy; Business Model; Business Startups; Profit; Marketing Strategy; Expansion; Diversification; Food and Beverage Industry; Latin America; South America; Colombia; Brazil; Mexico; Peru
- 2024
- Working Paper
AI Companions Reduce Loneliness
By: Julian De Freitas, Ahmet K Uguralp, Zeliha O Uguralp and Puntoni Stefano
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
De Freitas, Julian, Ahmet K Uguralp, Zeliha O Uguralp, and Puntoni Stefano. "AI Companions Reduce Loneliness." Harvard Business School Working Paper, No. 24-078, June 2024.
- June 2024
- Case
Arete Research on Unity Software
By: Joseph Pacelli and Tonia Labruyere
Richard Kramer had founded Arete Research, an independent financial research provider, in 2000 after a successful career as a sell-side analyst at Goldman Sachs. He reflects on his team's coverage of Unity Software, a U.S.-based mobile games software company, that... View Details
Keywords: Analysis; Initial Public Offering; Analytics and Data Science; Applications and Software; Mobile and Wireless Technology; Valuation; Value Creation; Mergers and Acquisitions; Business Model; Financial Services Industry; Video Game Industry; United Kingdom; United States
Pacelli, Joseph, and Tonia Labruyere. "Arete Research on Unity Software." Harvard Business School Case 124-086, June 2024.
- June 2024
- Article
Oral History and Business History in Emerging Markets
By: Geoffrey Jones
This article describes the motivation, structure and use of the Creating Emerging Markets (CEM) oral history-based project at the Harvard Business School. The project consists of lengthy interviews with business leaders from emerging markets. By June 2024 183... View Details
Jones, Geoffrey. "Oral History and Business History in Emerging Markets." Investigaciones de historia económica 20, no. 2 (June 2024): 1–4.
- Summer 2024
- Article
The Business Revolution: Economy-Wide Impacts of Artificial Intelligence and Digital Platforms
By: Hanna Halaburda, Jeffrey Prince, D. Daniel Sokol and Feng Zhu
In this essay, we identify several themes of the digital business transformation, with a particular focus on the economy-wide impacts of artificial intelligence and digital platforms. In doing so, we highlight specific industries, beyond just the high-profile “Big... View Details
Halaburda, Hanna, Jeffrey Prince, D. Daniel Sokol, and Feng Zhu. "The Business Revolution: Economy-Wide Impacts of Artificial Intelligence and Digital Platforms." Journal of Economics & Management Strategy 33, no. 2 (Summer 2024): 269–275.
- June 2024
- Article
Valuing the Societal Impact of Medicines and Other Health Technologies: A User Guide to Current Best Practices
By: Jason Shafrin, Jaehong Kim, Joshua T. Cohen, Louis P. Garrison, Dana A. Goldman, Jalpa A. Doshi, Joshua Krieger, Darius N. Lakdawalla, Peter J. Neumann, Charles E. Phelps, Melanie D. Whittington and Richard Willke
This study argues that value assessment conducted from a societal perspective should rely on the Generalized Cost-Effectiveness Analysis (GCEA) framework proposed herein. Recently developed value assessment inventories—such as the Second Panel on Cost-Effectiveness’s... View Details
Shafrin, Jason, Jaehong Kim, Joshua T. Cohen, Louis P. Garrison, Dana A. Goldman, Jalpa A. Doshi, Joshua Krieger, Darius N. Lakdawalla, Peter J. Neumann, Charles E. Phelps, Melanie D. Whittington, and Richard Willke. "Valuing the Societal Impact of Medicines and Other Health Technologies: A User Guide to Current Best Practices." Forum of Health Economics and Policy 27, no. 1 (June 2024): 29–116.