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- March 2025
- Case
Niramai: An AI Solution to Save Lives
By: Rembrand Koning, Maria P. Roche and Kairavi Dey
Founded in 2017, Niramai developed Thermalytix, a breast cancer screening tool. Thermalytix used a high-resolution thermal sensing device and machine learning algorithms to analyze thermal images and detect tumors. Its patented solution leveraged big data analytics,... View Details
- 2025
- Working Paper
Transferability MATTRs: Towards Understanding Antecedents of Strategic Licensing
By: Dafna F. Bearson and Maria P. Roche
This paper examines the antecedents of firms’ decisions to license intellectual property
(IP). We propose a conceptual framework emphasizing two critical factors: (1) transferability,
which we define as the ease of moving knowledge embodied in inventions across
firm... View Details
Bearson, Dafna F., and Maria P. Roche. "Transferability MATTRs: Towards Understanding Antecedents of Strategic Licensing." Harvard Business School Working Paper, No. 25-042, March 2025.
- February 2025
- Teaching Note
Influencer-Led Brand Building: Hairitage and the McKnights
By: William R. Kerr and James Palano
Teaching Note for HBS Case No. 825-066. Mindy McKnight started in 2009 as an early influencer on social media whose videos of creative hairstyles for girls launched her family on an entrepreneurship journey. The McKnights transitioned from YouTube ad revenue to brand... View Details
- 2025
- Working Paper
Is Love Blind? AI-Powered Trading with Emotional Dividends
By: Valeria Fedyk, Daniel Rabetti and Stella Kong
We leverage the non-fungible tokens (NFTs) setting to assess the valuation of emotional dividends (LOVE), a long-standing empirical challenge in private-value markets such as art, antiques, and collectibles. Having created and validated our proxy, we use deep learning... View Details
Keywords: AI and Machine Learning
Fedyk, Valeria, Daniel Rabetti, and Stella Kong. "Is Love Blind? AI-Powered Trading with Emotional Dividends." Working Paper, February 2025.
- February 2025
- Case
Luca de Meo at Renault Group (A)
By: Emily Truelove, Linda A. Hill and Lydia Begag
When Luca de Meo became CEO of Renault Group in 2020, the 122-year-old French automaker faced financial challenges and the double technological disruption of the automotive industry: the shift to electric vehicles (EVs) and the rise of software-defined vehicles (SDVs).... View Details
Keywords: Change Management; Transformation; Transition; Interpersonal Communication; Forms of Communication; Talent and Talent Management; Experience and Expertise; Customer Value and Value Chain; Decision Making; Economic Growth; Financial Crisis; Alternative Energy; Engineering; Global Strategy; Governance; Digital Transformation; Digital Strategy; Technology Adoption; Innovation and Invention; Disruptive Innovation; Technological Innovation; Innovation Leadership; Collaborative Innovation and Invention; Leading Change; Leadership Development; Leadership Style; Crisis Management; Management Skills; Business Processes; Organizational Culture; Organizational Structure; Performance Efficiency; Transportation; Auto Industry; Battery Industry; Energy Industry; Green Technology Industry; Transportation Industry; France; Europe; China
Truelove, Emily, Linda A. Hill, and Lydia Begag. "Luca de Meo at Renault Group (A)." Harvard Business School Case 425-041, February 2025.
- February 2025
- Case
Luca de Meo at Renault Group (A) (Abridged)
By: Emily Truelove, Linda A. Hill and Lydia Begag
When Luca de Meo became CEO of Renault Group in 2020, the 122-year-old French automaker faced financial challenges and the double technological disruption of the automotive industry: the shift to electric vehicles (EVs) and the rise of software-defined vehicles (SDVs).... View Details
Keywords: Change Management; Transformation; Transition; Interpersonal Communication; Forms of Communication; Talent and Talent Management; Experience and Expertise; Customer Value and Value Chain; Decision Making; Economic Growth; Financial Crisis; Alternative Energy; Engineering; Global Strategy; Governance; Digital Transformation; Digital Strategy; Technology Adoption; Innovation and Invention; Disruptive Innovation; Technological Innovation; Innovation Leadership; Collaborative Innovation and Invention; Leading Change; Leadership Development; Leadership Style; Crisis Management; Management Skills; Business Processes; Organizational Culture; Organizational Structure; Performance Efficiency; Transportation; Auto Industry; Battery Industry; Energy Industry; Green Technology Industry; Transportation Industry; France; Europe; China
Truelove, Emily, Linda A. Hill, and Lydia Begag. "Luca de Meo at Renault Group (A) (Abridged)." Harvard Business School Case 425-067, February 2025.
- January 2025
- Case
Negotiating with Data: Analytics FC (A)
By: Jillian Jordan and Livia Alfonsi
Analytics FC was a UK-based sports consultancy that focused on international football (soccer), leveraging cutting-edge data-analytic techniques to support clubs, federations, and players. In 2022, Alex Greenwood, an elite female defender, approached the company for... View Details
Keywords: Negotiation; Negotiation Preparation; Gender; Analytics and Data Science; Sports; Reputation; Value Creation; Consulting Industry; Sports Industry; Europe; United Kingdom
Jordan, Jillian, and Livia Alfonsi. "Negotiating with Data: Analytics FC (A)." Harvard Business School Case 925-014, January 2025.
- January 2025
- Supplement
Negotiating with Data: Analytics FC (B)
By: Jillian Jordan and Livia Alfonsi
Analytics FC was a UK-based sports consultancy that focused on international football (soccer), leveraging cutting-edge data-analytic techniques to support clubs, federations, and players. In 2022, Alex Greenwood, an elite female defender, approached the company for... View Details
Keywords: Negotiation; Negotiation Preparation; Gender; Analytics and Data Science; Sports; Reputation; Value Creation; Consulting Industry; Sports Industry; Europe; United Kingdom
Jordan, Jillian, and Livia Alfonsi. "Negotiating with Data: Analytics FC (B)." Harvard Business School Supplement 925-015, January 2025.
- January 2025
- Case
Hebbia: Redefining Productivity for Knowledge Workers Using AI
By: Suraj Srinivasan and Minoshka Narayan
In early 2025, George Sivulka, founder and CEO of Hebbia, reflected on the company’s rapid ascent as a pioneer in GenAI-powered productivity tools for knowledge workers. With its proprietary technology, Hebbia had redefined information retrieval and analysis and earned... View Details
- Working Paper
AI in Disguise—How AI-generated Ads' Visual Cues Shape Consumer Perception and Performance
By: Yannick Exner, Jochen Hartmann, Oded Netzer and Shunyuan Zhang
Generative AI’s recent advancements in creating content have offered vast potential to transform the advertising industry. This research investigates the impact of generative AI-enabled visual ad creation on real-world advertising effectiveness. For this purpose, we... View Details
Keywords: Digital Marketing; AI and Machine Learning; Advertising; Consumer Behavior; Advertising Industry
Exner, Yannick, Jochen Hartmann, Oded Netzer, and Shunyuan Zhang. "AI in Disguise—How AI-generated Ads' Visual Cues Shape Consumer Perception and Performance." SSRN Working Paper Series, No. 5096969.
- January–February 2025
- Article
Location-Specificity and Relocation Incentive Programs for Remote Workers
By: Thomaz Teodorovicz, Prithwiraj Choudhury and Evan Starr
The precipitous growth of remote work has given rise to a new phenomenon: the emergence of relocation incentive programs that localities use to compete for the physical presence of remote workers. Remote workers with high general human capital may create value for... View Details
Keywords: Remote Work; Motivation and Incentives; Geographic Location; Talent and Talent Management; Human Capital; Tulsa
Teodorovicz, Thomaz, Prithwiraj Choudhury, and Evan Starr. "Location-Specificity and Relocation Incentive Programs for Remote Workers." Organization Science 36, no. 1 (January–February 2025): 186–212.
- January–February 2025
- Article
The Double-Edged Sword of Exemplar Similarity
By: Majid Majzoubi, Eric Zhao, Tiona Zuzul and Greg Fisher
We investigate how a firm’s positioning relative to category exemplars shapes security analysts’ evaluations. Using a two-stage model of evaluation (initial screening and subsequent assessment), we propose that exemplar similarity enhances a firm’s recognizability and... View Details
Majzoubi, Majid, Eric Zhao, Tiona Zuzul, and Greg Fisher. "The Double-Edged Sword of Exemplar Similarity." Organization Science 36, no. 1 (January–February 2025): 121–144.
- 2024
- Article
Psychological Safety as an Enduring Resource amid Constraints
By: Hassina Bahadurzada, Amy C. Edmondson and Michaela J. Kerrissey
While psychological safety is recognized as valuable in healthcare, its relationship to resource constraints is not well understood. We investigate whether psychological safety mitigates the negative impact of resource constraints on employees. Leveraging longitudinal... View Details
Keywords: Burnout; Psychological Safety; Healthcare Administration; Health Care and Treatment; Employees; Retention; Well-being; Health Industry
Bahadurzada, Hassina, Amy C. Edmondson, and Michaela J. Kerrissey. "Psychological Safety as an Enduring Resource amid Constraints." Special Issue on Psychological Safety in Healthcare Settings. International Journal of Public Health 69 (2024).
- December 2024
- Article
Public Attitudes on Performance for Algorithmic and Human Decision-Makers
By: Kirk Bansak and Elisabeth Paulson
This study explores public preferences for algorithmic and human decision-makers (DMs) in high-stakes contexts, how these preferences are shaped by performance metrics, and whether public evaluations of performance differ depending on the type of DM. Leveraging a... View Details
Bansak, Kirk, and Elisabeth Paulson. "Public Attitudes on Performance for Algorithmic and Human Decision-Makers." PNAS Nexus 3, no. 12 (December 2024).
- November 2024
- Case
Demond Martin and WellWithAll
By: Hise Gibson, Archie L. Jones and Ai-Ling Jamila Malone
This case study chronicles the transformative entrepreneurial path of Demond Martin, co-founder and CEO of WellWithAll, a health and wellness startup. Motivated by a pivotal life experience and deep concern for racial health inequities, Martin transitions from a... View Details
Keywords: Customers; Diversity; Ethnicity; Race; Health; Recruitment; Leadership Style; Management Style; Marketing; Brands and Branding; Marketing Strategy; Product Marketing; Product Launch; Product Positioning; Organizational Culture; Mission and Purpose; Relationships; Trust; Business Strategy; Competition; Competitive Strategy; Competitive Advantage; Investment; Consumer Products Industry; Retail Industry; Health Industry; United States; Chicago; Boston; Atlanta; North Carolina; District of Columbia
Gibson, Hise, Archie L. Jones, and Ai-Ling Jamila Malone. "Demond Martin and WellWithAll." Harvard Business School Case 625-041, November 2024.
- November 2024
- Case
Dr. Bombay Ice Cream
By: William R. Kerr, Alexis Brownell and Michael Liu
This case examines the creation, launch, and rapid growth of Dr. Bombay Ice Cream, a joint venture between Happi Co., a consumer packaged goods incubator, and entertainment mogul Snoop Dogg, with his son, Cordell Broadus. The brand was inspired by a Bored Ape Yacht... View Details
Kerr, William R., Alexis Brownell, and Michael Liu. "Dr. Bombay Ice Cream." Harvard Business School Case 825-090, November 2024.
- November 2024
- Article
Stakeholder Amnesia in M&A Deals
By: Caley Petrucci and Guhan Subramanian
Public companies have increasingly embraced environmental, social and governance (ESG) factors in the course of everyday business. However, these ESG considerations are virtually non-existent in merger and acquisition (M&A) transactions. Elon Musk’s recent acquisition... View Details
Keywords: Corporate Governance; Corporate Social Responsibility and Impact; Governing and Advisory Boards; Mergers and Acquisitions
Petrucci, Caley, and Guhan Subramanian. "Stakeholder Amnesia in M&A Deals." Journal of Corporation Law 50, no. 1 (November 2024): 87–147.
- 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.
- October 2024
- Case
Nvidia
By: Andy Wu and Matt Higgins
This case study examines Nvidia's strategic pivot from gaming GPUs to becoming a leader in general-purpose computing and AI. It explores how Nvidia leveraged its GPU architecture to dominate the growing fields of data center acceleration and AI training, outpacing... View Details
- October 2024 (Revised October 2024)
- Case
AI and Brand Management: Promises and Perils
By: Julian De Freitas and Elie Ofek
As AI gains traction across industries, companies anticipate that AI will revolutionize both backend processes and customer-facing interactions—with brands eager to leverage AI for tailored marketing materials and automated consumer engagements. Yet, despite a dramatic... View Details
De Freitas, Julian, and Elie Ofek. "AI and Brand Management: Promises and Perils." Harvard Business School Case 525-021, October 2024. (Revised October 2024.)