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- All HBS Web
(4,934)
- Faculty Publications (1,010)
- September 2024
- Exercise
Assessing the Value of Unifying and De-Duplicating Customer Data
By: Elie Ofek and Hema Yoganarasimhan
This exercise provides an opportunity for students to gain hands on experience with assessing the value of unifying various customer databases that a firm may have (e.g., across the different brands it markets) and of properly identifying customers to avoid duplication... View Details
Keywords: Customer Relationship Management; Measurement and Metrics; Analytics and Data Science; Value
Ofek, Elie, and Hema Yoganarasimhan. "Assessing the Value of Unifying and De-Duplicating Customer Data." Harvard Business School Exercise 525-023, September 2024.
- September 9, 2024
- Article
Ten Questions for a Winning Climate-transition Business Strategy
By: George Serafeim
The move to a low-carbon economy will create opportunities for innovation and growth. To make the most of them, leaders must understand the challenges they could face along the way. View Details
Keywords: Technology; Organizational Transformations; Business Model Innovation; Innovation and Invention; Climate Change; Transformation; Leadership; Business Strategy; Environmental Sustainability; Change Management; Entrepreneurship
Serafeim, George. "Ten Questions for a Winning Climate-transition Business Strategy." Strategy + Business (website) (September 9, 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.
- 2024
- Article
Learning Under Random Distributional Shifts
By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler
Algorithmic assignment of refugees and asylum seekers to locations within host
countries has gained attention in recent years, with implementations in the U.S.
and Switzerland. These approaches use data on past arrivals to generate machine
learning models that can... View Details
Bansak, Kirk, Elisabeth Paulson, and Dominik Rothenhäusler. "Learning Under Random Distributional Shifts." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 27th (2024).
- September 2024
- Article
Standing on the Shoulders of Science
By: Joshua Lev Krieger, Monika Schnitzer and Martin Watzinger
Today’s innovations rely on scientific discoveries of the past, yet only some corporate
R&D builds directly on scientific output. In this paper, we analyze U.S. patents to
investigate how firms generate value by building on prior art “closer” to science. We
show... View Details
Krieger, Joshua Lev, Monika Schnitzer, and Martin Watzinger. "Standing on the Shoulders of Science." Strategic Management Journal 45, no. 9 (September 2024): 1670–1695.
- September–October 2024
- Article
Where Data-Driven Decision-Making Can Go Wrong
By: Michael Luca and Amy C. Edmondson
When considering internal data or the results of a study, often business leaders either take the evidence presented as gospel or dismiss it altogether. Both approaches are misguided. What leaders need to do instead is conduct rigorous discussions that assess any... View Details
Luca, Michael, and Amy C. Edmondson. "Where Data-Driven Decision-Making Can Go Wrong." Harvard Business Review 102, no. 5 (September–October 2024): 80–89.
- 2024
- Working Paper
The Wade Test: Generative AI and CEO Communication
By: Prithwiraj Choudhury, Bart S. Vanneste and Amirhossein Zohrehvand
Can generative artificial intelligence (AI) transform the role of the CEO by effectively automating CEO
communication? This study investigates whether AI can mimic a human CEO and whether employees’
perception of the communication’s source matter. In a field... View Details
Choudhury, Prithwiraj, Bart S. Vanneste, and Amirhossein Zohrehvand. "The Wade Test: Generative AI and CEO Communication." Harvard Business School Working Paper, No. 25-008, August 2024.
- August 2024
- Case
Iogen: Decarbonizing Hard-to-Abate Sectors
By: George Serafeim, Charlotte Foody and John Mulliken
Brian Foody, CEO of Iogen Corporation, was an early leader in advanced biofuels, developing a range of technologies to transform agricultural waste into transportation fuel. With $100 million in revenue and 350 patents across various biofuel technologies, Iogen was... View Details
Keywords: Technology; Biofuel; Market Attractiveness; Decarbonization; Technological Innovation; Climate Change; Energy; Environmental Sustainability; Transformation; Market Entry and Exit; Strategy; Energy Industry; United States; United Kingdom
Serafeim, George, Charlotte Foody, and John Mulliken. "Iogen: Decarbonizing Hard-to-Abate Sectors." Harvard Business School Case 125-037, August 2024.
- August 2024
- Technical Note
Introduction to Data Analysis in Python
By: Michael Parzen and Jo Ellery
This note introduces Python as a tool for data science, including the Pandas library for data analysis. View Details
Keywords: Analytics and Data Science
Parzen, Michael, and Jo Ellery. "Introduction to Data Analysis in Python." Harvard Business School Technical Note 625-016, August 2024.
- August 2024 (Revised November 2024)
- Case
Commonwealth Fusion Systems: Born at Scale
This case study chronicles the journey of Commonwealth Fusion Systems (CFS) on its ambitious mission to commercialize fusion energy and become the world’s leading provider of fusion power plants. Emerging from a “special arrangement” with MIT's Plasma Science and... View Details
Keywords: Nuclear Energy; Innovation; Entrepreneurship; Entrepreneurial Finance; Energy Generation; Commercialization; Science-Based Business; Technological Innovation; Market Entry and Exit; Energy Industry
Krieger, Joshua Lev, Jim Matheson, Kyle Myers, Gunnar Trumbull, and Richard Vietor. "Commonwealth Fusion Systems: Born at Scale." Harvard Business School Case 825-061, August 2024. (Revised November 2024.)
- 2024
- Working Paper
The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations
By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang
The rise of generative artificial intelligence (AI) is transforming creative problem-solving, necessitating new approaches for evaluating innovative solutions. This study explores how human-AI collaboration can enhance early-stage evaluations, focusing on the interplay... View Details
Lane, Jacqueline N., Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh, and Pei-Hsin Wang. "The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations." Harvard Business School Working Paper, No. 25-001, August 2024. (Revised August 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
- Technical Note
Introduction to SQL in Python
By: Michael Parzen and Jo Ellery
This note walks through the basics of SQL and how to use this language in Python via the SQLite package. View Details
Keywords: Analytics and Data Science
Parzen, Michael, and Jo Ellery. "Introduction to SQL in Python." Harvard Business School Technical Note 625-024, July 2024.
- July 2024
- Case
ZEISS: Commercializing Science
By: Maria P. Roche, Carlota Moniz and Daniela Beyersdorfer
Karl Lamprecht, President and CEO of the ZEISS AG Group, mused on how far ZEISS had come in 175 years of being a pioneer in optics, and how the course he had charted since taking the helm of the company could keep it on track. In his role, he oversaw the four core... View Details
Keywords: Business Model; Business Organization; Decisions; Business Strategy; Competition; Business History; Collaborative Innovation and Invention; Independent Innovation and Invention; Disruptive Innovation; Innovation and Management; Innovation Strategy; Technological Innovation; Growth and Development Strategy; Knowledge Sharing; Industry Growth; Monopoly; Organizational Culture; Supply Chain Management; Partners and Partnerships; Risk and Uncertainty; Adaptation; Commercialization; Resource Allocation; Corporate Strategy; Technology Industry; Technology Industry; Germany; Europe
Roche, Maria P., Carlota Moniz, and Daniela Beyersdorfer. "ZEISS: Commercializing Science." Harvard Business School Case 725-359, 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 2024
- Article
How Artificial Intelligence Constrains Human Experience
By: A. Valenzuela, S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino and K. Wertenbroch
Many consumption decisions and experiences are digitally mediated. As a consequence, consumer behavior is increasingly the joint product of human psychology and ubiquitous algorithms (Braun et al. 2024; cf. Melumad et al. 2020). The coming of age of Large Language... View Details
Keywords: Large Language Model; User Experience; AI and Machine Learning; Consumer Behavior; Technology Adoption; Risk and Uncertainty; Cost vs Benefits
Valenzuela, A., S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino, and K. Wertenbroch. "How Artificial Intelligence Constrains Human Experience." Journal of the Association for Consumer Research 9, no. 3 (July 2024): 241–256.
- 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.
- 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.