Filter Results:
(2,217)
Show Results For
- All HBS Web
(8,534)
- Faculty Publications (2,217)
Show Results For
- All HBS Web
(8,534)
- Faculty Publications (2,217)
Design →
- July 2024
- Case
Wizards of the Coast and Magic: The Rebounding
By: Boris Groysberg and Tom Quinn
This case traces the history and growth of the Magic: The Gathering trading card game. From its development in 1993 by tiny studio Wizards of the Coast, to Wizards’ acquisition by toy giant Hasbro in 1999, to its evolution into a billion-dollar brand in 2023,... View Details
Keywords: Business Growth and Maturation; Change Management; Transformation; Cost vs Benefits; Business Cycles; Games, Gaming, and Gambling; Global Strategy; Growth and Development; Selection and Staffing; Collaborative Innovation and Invention; Innovation Leadership; Intellectual Property; Job Design and Levels; Knowledge Use and Leverage; Leading Change; Growth and Development Strategy; Growth Management; Management Succession; Risk Management; Brands and Branding; Product Positioning; Organizational Change and Adaptation; Competitive Strategy; Competitive Advantage; Expansion; Mergers and Acquisitions; Product Development; Entertainment and Recreation Industry; United States; Washington (state, US); Seattle; Japan
- July 2024
- Module Note
Organization: Managing the Corporation
By: David J. Collis
Ongoing management of the corporate portfolio is critical to realizing value in diversified companies. This requires designing and administering structures, systems, and processes appropriate for the set of businesses and the resources that underpin value creation... View Details
Keywords: Organization; Corporate Strategy; Business Conglomerates; Business or Company Management; Diversification; Value Creation
Collis, David J. "Organization: Managing the Corporation." Harvard Business School Module Note 724-495, July 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.
- 2024
- Working Paper
Digital Platforms 2.0: Learnings, Opportunities, and Challenges
By: Shrabastee Banerjee, Ishita Chakraborty, Hana Choi, Hannes Datta, Remi Daviet, Chiara Farronato, Minkyung Kim, Anja Lambrecht, Puneet Manchanda, Aniko Oery, Ananya Sen, Marshall W Van Alstyne, Prasad Vana, Kenneth C Wilbur, Xu Zhang and Bobby Zhou
Platform-based digital ecosystems form the backbone of our interactions with the Internet. Over the past decade, digital ecosystems have witnessed significant growth, both in terms of industry footprint and academic research. Yet, the challenges associated with their... View Details
Banerjee, Shrabastee, Ishita Chakraborty, Hana Choi, Hannes Datta, Remi Daviet, Chiara Farronato, Minkyung Kim, Anja Lambrecht, Puneet Manchanda, Aniko Oery, Ananya Sen, Marshall W Van Alstyne, Prasad Vana, Kenneth C Wilbur, Xu Zhang, and Bobby Zhou. "Digital Platforms 2.0: Learnings, Opportunities, and Challenges." Working Paper, June 2024.
- 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.
- July 2024
- Teaching Note
Leading Culture Change at Microsoft Western Europe
By: Amy C. Edmondson and Catherine Huang
This teaching plan is designed to be used in conjunction with the case study “Leading Culture Change at Microsoft Western Europe,” HBS No. 624-096, to help faculty deepen student understanding of psychological safety and organizational culture transformation through... View Details
- 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.
- May 14, 2024
- Article
One Way to Help Employees Build Emergency Savings
By: Timothy Flacke and Peter Tufano
Intentional cooperation between two organizations — BlackRock, a major asset management firm, and national non-profit, Commonwealth — created the conditions for the nation’s largest payroll processor, multiple U.S. employers, retirement record keepers, and others to... View Details
Keywords: Saving; Personal Finance; Income; Nonprofit Organizations; Corporate Social Responsibility and Impact; Partners and Partnerships
Flacke, Timothy, and Peter Tufano. "One Way to Help Employees Build Emergency Savings." Harvard Business Review (website) (May 14, 2024).
- 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
- June 2024
- Teaching Note
Skills-First Hiring at IBM
By: Boris Groysberg and Sarah Mehta
Teaching note for “Skills-First Hiring at IBM,” case no. 422-013. View Details
Keywords: Competency and Skills; Experience and Expertise; Talent and Talent Management; Human Resources; Human Capital; Employees; Recruitment; Retention; Selection and Staffing; Jobs and Positions; Job Design and Levels; Job Interviews; Society; Societal Protocols; Technology Industry; United States; New York (state, US)
- 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.
- 2024
- Working Paper
What Makes Players Pay? An Empirical Investigation of In-Game Lotteries
By: Tomomichi Amano and Andrey Simonov
In 2020, gamers spent more than $15 billion on loot boxes, lotteries of virtual items in video
games. Paid loot boxes are contentious. Game producers argue that loot boxes complement
the gameplay and expenditures on loot boxes reflect players’ enjoyment of the game.... View Details
Keywords: Product Design; Consumer Behavior; Ethics; Governing Rules, Regulations, and Reforms; Video Game Industry
Amano, Tomomichi, and Andrey Simonov. "What Makes Players Pay? An Empirical Investigation of In-Game Lotteries." Columbia Business School Research Paper, No. 4355019, June 2024.
- 2024
- Working Paper
Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization
This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets... View Details
Keywords: Heterogeneous Treatment Effect; Multi-task Learning; Representation Learning; Personalization; Promotion; Deep Learning; Field Experiments; Customer Focus and Relationships; Customization and Personalization
Huang, Ta-Wei, Eva Ascarza, and Ayelet Israeli. "Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization." Harvard Business School Working Paper, No. 24-076, June 2024.
- June 2024
- Teaching Note
Miami's Climate Tech Potential (A): The State of Play
By: Rosabeth Moss Kanter and Ai-Ling Jamila Malone
Teaching Note for HBS Case No. 324-119. Miami-Dade County led the work to get South Florida designated a national climate resilience tech hub, the only one of 31 focused on climate change, an urgent major issue for the region in light of global warming and sea level... View Details
- 2024
- Working Paper
Winner Take All: Exploiting Asymmetry in Factorial Designs
By: Matthew DosSantos DiSorbo, Iavor I. Bojinov and Fiammetta Menchetti
Researchers and practitioners have embraced factorial experiments to simultaneously test multiple treatments, each with different levels. With the rise of technologies like Generative AI, factorial experimentation has become even more accessible: it is easier than ever... View Details
Keywords: Factorial Designs; Fisher Randomizations; Rank Estimators; Employer Interventions; Causal Inference; Mathematical Methods; Performance Improvement
DosSantos DiSorbo, Matthew, Iavor I. Bojinov, and Fiammetta Menchetti. "Winner Take All: Exploiting Asymmetry in Factorial Designs." Harvard Business School Working Paper, No. 24-075, June 2024.
- June 2024
- Case
Wemade: (Re)Establishing Trust in Blockchain Games (A)
By: Jung Koo Kang, Charles CY Wang, David Allen and Kwangmoon So
This case explores the fundamental challenges and accounting issues arising from the integration of blockchain technology into traditional business models. It features Wemade, a South Korean online gaming company that has staked its future on blockchain-based games.... View Details
- 2024
- Working Paper
Personalization and Targeting: How to Experiment, Learn & Optimize
By: Aurelie Lemmens, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela and Oded Netzer
Personalization has become the heartbeat of modern marketing. Advances in causal inference and machine learning enable companies to understand how the same marketing action can impact the choices of individual customers differently. This article provides an academic... View Details
Keywords: Personalization; Targeting; Experiments; Observational Studies; Policy Implementation; Policy Evaluation; Customization and Personalization; Marketing Strategy; AI and Machine Learning
Lemmens, Aurelie, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela, and Oded Netzer. "Personalization and Targeting: How to Experiment, Learn & Optimize." Working Paper, June 2024.
- June 2024
- Article
Redistributive Allocation Mechanisms
By: Mohammad Akbarpour, Piotr Dworczak and Scott Duke Kominers
Many scarce public resources are allocated at below-market-clearing prices, and sometimes for free. Such "non-market" mechanisms sacrifice some surplus, yet they can potentially improve equity. We develop a model of mechanism design with redistributive concerns. Agents... View Details
Akbarpour, Mohammad, Piotr Dworczak, and Scott Duke Kominers. "Redistributive Allocation Mechanisms." Journal of Political Economy 132, no. 6 (June 2024): 1831–1875. (Authors' names are in certified random order.)
- June 2024 (Revised August 2024)
- Technical Note
Web3 Business Model Design for Entrepreneurs
By: Shikhar Ghosh and Liang Wu
Ghosh, Shikhar, and Liang Wu. "Web3 Business Model Design for Entrepreneurs." Harvard Business School Technical Note 824-177, June 2024. (Revised August 2024.)