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- 2025
- Working Paper
Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning
Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships
between customer states, company actions, and long-term value. However, its practical implementation often faces significant
challenges.... View Details
- February 2025
- Article
Innovations in Evaluating Ambulatory Costs of Cystic Fibrosis Care: A Comparative Study Across Multidisciplinary Care Centers in Ireland and the United States
By: Emma Brady, Ryan C. Perkins, Kate Cullen, Gregory S. Sawicki, Robert S. Kaplan and Gerardine Doyle
Lead clinicians at two large pediatric cystic fibrosis (CF) centers in the United States and Ireland measured and compared their ambulatory care costs. The clinicians selected three strata of patients (0–11 months, 1–5 years, and 6–17 years of age). Process maps were... View Details
- January 2025
- Technical Note
Get Cool: Air Conditioning Industry Background
By: Rosabeth Moss Kanter and Jacob A. Small
The “air conditioning paradox” is tied to climate change: the more the planet warms, the greater the need for cooling (due to the dangers of extreme heat as well as comfort within buildings), but the use of electricity-powered AC contributes to further warming. There... View Details
- January 2025
- Case
GE Appliances 2025: Energizing Change
By: Rosabeth M. Kanter and Jacob A. Small
At the turn of 2025, Kevin Nolan, CEO of GE Appliances following its acquisition by Chinese appliance giant Haier in 2016, is reviewing progress toward his net zero carbon vision for homes, which would otherwise exacerbate the global warming climate crisis. An... View Details
- January 2025
- Case
Redwood & Strong: The Value of a Consulting Engagement
By: David G. Fubini and Patrick Sanguineti
The board of Redwood & Strong LLP (R&S), the American branch of a large global law firm, is meeting to review the findings of a recent strategic initiative designed to identify potential merger candidates. The request for the engagement originated from Daniel Crawford,... View Details
- December 5, 2024
- Article
A Consensus Definition of Creativity in Surgery: A Delphi Study Protocol
By: Alex Thabane, Tyler McKechnie, Phillip Staibano, Vikram Arora, Goran Calic, Jason W. Busse, Sameer Parpia and Mohit Bhandari
Introduction
Clear definitions are essential in science, particularly in the study of abstract phenomena like creativity. Due to its inherent complexity and domain-specific nature, the study of creativity has been complicated, as evidenced by the various... View Details
Clear definitions are essential in science, particularly in the study of abstract phenomena like creativity. Due to its inherent complexity and domain-specific nature, the study of creativity has been complicated, as evidenced by the various... View Details
- December 2024
- Article
Coordinating the Energy Transition: Electrifying Transportation in California and Germany
By: Nicholas Goedeking and Jonas Meckling
California and Germany share ambitious emission reduction targets. Yet California is ahead of Germany in electrifying transportation by several metrics, including the number of public charging stations. We show that variation in the politics of coordination in... View Details
- 2024
- Working Paper
When Batteries Meet Hydrogen: Dual-Storage Investments for Load-Shifting Purposes
By: Christian Kaps and Simone Marinesi
Power systems account for nearly 40% of global emissions. As the world tries to reduce emissions by increasing renewable penetration, storage technologies are playing an increasingly important role in matching variable renewable supply with demand. Batteries have... View Details
- 2024
- Working Paper
How Real Is Hypothetical?: A High-Stakes Test of the Allais Paradox
By: Uri Gneezy, Yoram Halevy, Brian Hall, Theo Offerman and Jeroen van de Ven
Researchers in behavioral and experimental economics often argue that only
incentive-compatible mechanisms can elicit effort and truthful responses from participants.
Others argue that participants make less-biased decisions when the stakes
are sufficiently high.... View Details
- 2024
- Working Paper
The Financial Anatomy of Climate Solutions: A Large Language Model Approach to Company Classification and Analysis
By: Shirley Lu and George Serafeim
Leveraging advancements in large language models (LLM), we study the financial characteristics of firms offering climate solutions-products and services aimed at fostering a transition to a low-carbon economy. We use a new measure that applies LLM to 10-K Item 1... View Details
- July 2024
- Technical Note
Intellectual Property in Tough Tech Ventures
By: Joshua Lev Krieger, Jim Matheson, Russ Wilcox and Mel Martin
This note explains the crucial role of intellectual property rights (IPR), particularly patents, in the success of tough tech ventures (TTVs). It outlines the patent system's mechanics, emphasizing utility patents and their requirements for novelty, non-obviousness,... View Details
Keywords: Intellectual Property
- 2024
- Chapter
Corporations as the Central Institutions of Society
Mark Twain observed that, “Prediction is very difficult—particularly when it involves the future,” and he was right. One way to reduce the risk of becoming an infamous forecaster—like the experts who told us the Internet would quickly collapse, that Apple would never... View Details
- July 2024
- Article
The Home State Effect: How Subnational Governments Shape Climate Coalitions
By: Jonas Meckling and Samuel Trachtman
Organized business interests often seek to block public interest regulations. But whether firms oppose regulation depends on institutional context. We argue that, in federal systems, sub-national policies and politics can have a home state effect on firms' national... View Details
- June 2024
- Module Note
Value Creation Potential of New Business Models
By: David J. Collis
A business model is composed of three elements. These describe a generic way of creating value and identify the maximum potential value of that model for customers. The elements of a business model are the “job to be done” for the customer, the asset configuration, or... 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
- May 2024
- Supplement
HubSpot and Motion AI (B): Generative AI Opportunities
By: Jill Avery
The technologies driving artificial intelligence (AI) had progressed significantly since HubSpot’s acquisition of Motion AI in 2017. Generative AI was the newest major development. Software-as-a-service (SaaS) companies such as HubSpot were analyzing how generative AI... View Details
- 2024
- Working Paper
Immigrant Entrepreneurship: New Estimates and a Research Agenda
By: Saheel Chodavadia, Sari Pekkala Kerr, William R. Kerr and Louis Maiden
Immigrants contribute disproportionately to entrepreneurship in many countries, accounting for a quarter of new employer businesses in the US. We review recent research on the measurement of immigrant entrepreneurship, the traits of immigrant founders, their economic... View Details
- 2024
- Working Paper
Bank Runs and Interest Rates: A Revolving Lines Perspective
By: Falk Bräuning and Victoria Ivashina
Revolving credit is at the core of the banking business. Corporate revolving credit lines are demandable claims; thus, similar to a traditional bank run on deposits, sudden widespread drawdowns on credit lines can be destabilizing to the banking sector. However, we... View Details
- May 2024
- Article
True Costs of Uterine Artery Embolization: Time-Driven Activity-Based Costing in Interventional Radiology Over a 3-Year Period
By: Julia C. Bulman, Nicole H. Kim, Robert S. Kaplan, Sarah Schroeppel DeBacker, Olga R. Brook and Ammar Sarwar
The study used time-driven activity-based costing (TDABC) to estimate the costs to perform uterine artery embolization (UAE). Utilization times for patients undergoing outpatient UAE for fibroids or adenomyosis were captured from electronic health record timestamps and... View Details
- 2024
- Working Paper
The Cram Method for Efficient Simultaneous Learning and Evaluation
By: Zeyang Jia, Kosuke Imai and Michael Lingzhi Li
We introduce the "cram" method, a general and efficient approach to simultaneous learning and evaluation using a generic machine learning (ML) algorithm. In a single pass of batched data, the proposed method repeatedly trains an ML algorithm and tests its empirical... View Details
Keywords: AI and Machine Learning