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- February 2025
- Case
Fly, Fix, Fly at True Anomaly
By: Joshua Lev Krieger, Jim Matheson, Fiona Murray and David Allen
How should companies learn from failure? Founded by four U.S. Space Force warfighters, the tough tech startup True Anomaly wanted to compete with major defense contractors to supply the U.S. Department of Defense with satellites and software that could help protect... View Details
- February 2025
- Case
Blue Owl Financing of Ping Identity
By: Victoria Ivashina and Srimayi Mylavarapu
In the fall of 2022, Blue Owl Capital's investment committee evaluated a potential investment in the technology sector. The proposed transaction centered on Ping Identity Corporation (“Ping”), a fast-growing identity access management (IAM) software company that was... View Details
- February 2025
- Article
Disclosure, Humanizing, and Contextual Vulnerability of Generative AI Chatbots
By: Julian De Freitas and I. Glenn Cohen
In the wake of recent advancements in generative AI, regulatory bodies are trying to keep pace. One key decision is whether to require app makers to disclose the use of generative AI-powered chatbots in their products. We suggest that some generative AI-based chatbots... View Details
- 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
- 2025
- Working Paper
Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India
By: Shawn Cole, Grady Killeen, Tomoko Harigaya and Aparna Krishna
This paper evaluates a low-cost, customized soil nutrient management advisory service in India. As a methodological contribution, we examine whether and in which settings satellite measurements may be effective at estimating both agricultural yields and treatment... View Details
- 2025
- Working Paper
Crossing the Design-Use Divide: How Process Manipulation Shapes the Design and Use of AI
By: Rebecca Karp
Existing literature often separates research on the design of innovations from their implementation and use, neglecting the role of selection—how organizations choose which innovations to implement. Although scholars suggest scientific approaches for selecting novel... 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
- 2025
- Article
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
- 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
- 2025
- Working Paper
Too Much, Too Soon? Early Funding, Technological Unconventionality, and Innovation Capabilities
By: Harsh Ketkar and Maria Roche
The availability of financial resources significantly shapes firm innovation outcomes, especially for early-stage,
innovation-focused technology firms. However, prior research has provided conflicting findings about this
relationship: On the one hand, resource... View Details
- December 2024
- Case
Blue Cross Blue Shield of Michigan (BCBSM): The AI Journey
By: Shikhar Ghosh
In early 2024, Bill Fandrich, Executive VP and CIO of Blue Cross Blue Shield of Michigan (BCBSM), faced a critical decision about AI adoption within the organization. Fandrich had championed AI implementation at BCBSM. After successfully developing three AI... View Details
Keywords: AI; Machine Learning; Blue Cross; Automation; Digital Strategy; Digital Transformation; Generative Ai; Health Insurance; Insurance Companies; Innovation; IT Strategy; Leadership; Organizational Transformations; Technology; Non-profit; Michigan; AI and Machine Learning; Health; Health Industry; Michigan
- November–December 2024
- Article
How to Avoid the Agility Trap
By: Jianwen Liao and Feng Zhu
Agility is all the rage in strategy circles these days. According to conventional wisdom, organizations should rapidly react to technological advances, new market dynamics, and shifting consumer preferences. But in practice this is nearly impossible to pull off,... View Details
- 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
- November 2024
- Case
AlphaGo (A): Birth of a New Intelligence
By: Shikhar Ghosh and Shweta Bagai
This case, the first of a three-part series, traces DeepMind's evolution from its 2010 founding through its acquisition by Google in 2014. Often referred to as the "Apollo project" of artificial intelligence, DeepMind used games as a testing ground to develop AI... View Details
- November 2024
- Supplement
AlphaGo (C): Birth of a New Intelligence
By: Shikhar Ghosh and Shweta Bagai
This case, the final of a three-part series, explores DeepMind's pivotal transition from mastering games to solving real-world scientific challenges. In December 2020, DeepMind's AI system AlphaFold 2 achieved a breakthrough by solving protein folding—a 50-year-old... View Details
Keywords: AI; Artificial Intelligence; Machine Learning; Research; Autonomy; Deep Learning; Drug Discovery; Healthcare Innovation; Neural Networks; Information Technology; Research And Development; Scientific Research; Technology Startup; AI and Machine Learning; Technological Innovation; United States
- October 2024
- Case
Parexel: Scaling Up and Industry Dynamics
By: Regina E. Herzlinger and Ben Creo
Through the lens of biopharmaceutical contract research organization (CRO) PAREXEL, this case traces the evolution of the firm as it reinvents itself in response to the transformation of the CRO sector from a small, secondary cluster of firms into a major player with... View Details
- October 2024
- Case
Reed Group and Succession in a Family Business: An Impossible Job to Fill?
By: Lauren H. Cohen and Tonia Labruyere
James Reed had taken over Reed Group, the recruitment and career services company his father had founded and built, in 1994. He was now reflecting on succession planning and other challenges that lay ahead: with no obvious choice among his family members, he needed to... View Details
- September–October 2024
- Article
Boards Need a New Approach to Technology
By: Tarun Khanna, Mary C. Beckerle and Nabil Y. Sakkab
The boards of too many publicly traded companies are downright timid when considering matters involving science and technology. More often than not, they focus on security and digitization—a defensive posture that fails to consider the bigger opportunities emerging... View Details
- 2025
- Working Paper
Global Evidence on Gender Gaps and Generative AI
By: Nicholas G. Otis, Solène Delecourt, Katelynn Cranney and Rembrand Koning
Generative AI has the potential to transform productivity and reduce inequality, but only if adopted broadly. In this paper, we show that recently identified gender gaps in generative AI use are nearly universal. Synthesizing data from 18 studies covering more than... View Details
- Fall 2024
- Article
The Three Traps That Stymie Reinvention: Organizational Identity, Architecture, and Collaboration Can Be Either Assets or Liabilities to Pursuing Growth in New Sectors
By: Ryan Raffaelli
In more than a decade of researching innovation, I have observed how organizations respond to new opportunities, technological changes, or unexpected market shifts that threaten to upend their current business model. This process, which I call reinvention, may occur... View Details