Filter Results:
(1,045)
Show Results For
- All HBS Web
(4,736)
- Faculty Publications (1,045)
Show Results For
- All HBS Web
(4,736)
- Faculty Publications (1,045)
Page 1 of 1,045
Results →
- March 2025
- Teaching Note
Seattle's Climate Pledge Arena: Ticket to a Greener Future
By: Rosabeth Moss Kanter and Jacob A. Small
Teaching Note for HBS Case No. 325-110. CEO Tim Leiweke reviewed the process by which his newly formed Oak View Group had managed a major rebuild of a landmark arena in Seattle which attracted a National Hockey League franchise and major entertainers concerned about... View Details
- March 2025
- Teaching Note
Moving Science: The Rowland Institute at Harvard
By: Maria P. Roche
Teaching Note for HBS Case No. 724-441. View Details
- March 2025 (Revised March 2025)
- Case
Seattle's Climate Pledge Arena: Ticket to a Greener Future
By: Rosabeth Moss Kanter and Jacob A. Small
Tim Leiweke reviewed how his development group and partners had completely rebuilt an aging Seattle landmark into the world’s greenest arena, carrying the visible name Climate Pledge Arena. It had attracted a new National Hockey League franchise, the Kraken, and... View Details
Keywords: Environmental Sustainability; Leadership; Bids and Bidding; Standards; Corporate Social Responsibility and Impact; Seattle
Kanter, Rosabeth Moss, and Jacob A. Small. "Seattle's Climate Pledge Arena: Ticket to a Greener Future." Harvard Business School Case 325-110, March 2025. (Revised March 2025.)
- 2025
- Working Paper
Methane Abatement Costs in the Oil and Gas Industry: Survey and Synthesis
By: Joseph E. Aldy, Forest Reinhardt and Robert N. Stavins
There is growing recognition of the relative importance of anthropogenic emissions of methane as a contributor to global climate change. An important source of such emissions in some countries, including the United States, is the oil and gas (O&G) sector. This points... View Details
Keywords: Emission Reduction; Environmental Sustainability; Climate Change; Pollutants; Energy Industry
Aldy, Joseph E., Forest Reinhardt, and Robert N. Stavins. "Methane Abatement Costs in the Oil and Gas Industry: Survey and Synthesis." NBER Working Paper Series, No. 33564, March 2025.
- 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
Managing EPS at Stanley Black & Decker?
The case explores Stanley Black and Decker’s (SBD) 2022 financial restatement announcement, which related to how SBD accounted for certain equity issuances in 2019. These transactions had a minimal effect on earnings but significantly reduced shares outstanding, and... View Details
- 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.
- 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
Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science
Ma, Liangzong, Ta-Wei Huang, Eva Ascarza, and Ayelet Israeli. "Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning." Harvard Business School Working Paper, No. 25-037, February 2025.
- January 2025
- Supplement
Colbún’s Angostura Dam Project (B)
By: James K. Sebenius and Nicolas Andrade
The A case describes Colbún Chile’s plans for the Angostura dam in the Bío Bío River, a hydroelectric construction venture with major challenges given the region’s history of indigenous resistance. This context was especially unfavorable given the highly contentious... View Details
- January 2025
- Case
Colbún's Angostura Dam Project (A)
By: James K. Sebenius and Nicolas Andrade
The A case describes Colbún Chile’s plans for the Angostura dam in the Bío Bío River, a hydroelectric construction venture with major challenges given the region’s history of indigenous resistance. This context was especially unfavorable given the highly contentious... View Details
- January 24, 2025
- Article
Behaviorally Designed Training Leads to More Diverse Hiring
By: Cansin Arslan, Edward H. Chang, Siri Chilazi, Iris Bohnet and Oliver P. Hauser
Many organizations have shown interest in increasing the diversity of their workforces for various reasons. Collectively, they have spent millions of dollars and countless employee hours on diversity training. Yet, there is little empirical evidence that such training... View Details
Keywords: Training; Diversity; Selection and Staffing; Behavior; Outcome or Result; Organizational Change and Adaptation
Arslan, Cansin, Edward H. Chang, Siri Chilazi, Iris Bohnet, and Oliver P. Hauser. "Behaviorally Designed Training Leads to More Diverse Hiring." Science 387, no. 6732 (January 24, 2025): 364–366.
- January 2025
- Case
Summer Health: Raising an AI-First Company?
By: Jeffrey J. Bussgang, Sarah Mehta and Maxim Pike Harrell
In October 2023, Summer Health CEO Ellen DaSilva arrived at a defining juncture for her pediatric telehealth startup. Founded in 2021, Summer Health offered parents rapid access to licensed pediatricians via text message. DaSilva, an experienced telehealth executive,... View Details
Keywords: AI and Machine Learning; Technology Adoption; Entrepreneurship; Leadership; Health Industry; Telecommunications Industry; United States
Bussgang, Jeffrey J., Sarah Mehta, and Maxim Pike Harrell. "Summer Health: Raising an AI-First Company?" Harvard Business School Case 825-083, January 2025.
- January 2025 (Revised February 2025)
- Case
Smart Construction Site at Huatian (A)
By: Letian Zhang and Wenjie Ma
Zhang, Letian, and Wenjie Ma. "Smart Construction Site at Huatian (A)." Harvard Business School Case 425-071, January 2025. (Revised February 2025.)
- January 2025
- Case
Smart Construction Site at Huatian (B)
By: Letian Zhang and Wenjie Ma
Zhang, Letian, and Wenjie Ma. "Smart Construction Site at Huatian (B)." Harvard Business School Case 425-072, January 2025.
- January 2025
- Teaching Note
Smart Construction Site at Huatian
By: Letian Zhang and Wenjie Ma
Teaching Note for HBS Case Nos. 425-071 and 425-072. 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
Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Journal of Business & Economic Statistics 43, no. 1 (2025): 256–268.
- 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
Keywords: Startups; Technology Strategy; Novelty; Unconventionality; Resource Constraints; Early Stage Firms; Business Startups; Technological Innovation; Entrepreneurial Finance
Ketkar, Harsh, and Maria Roche. "Too Much, Too Soon? Early Funding, Technological Unconventionality, and Innovation Capabilities." Harvard Business School Working Paper, No. 25-032, December 2024. (Revised February 2025.)
- November 2024
- Case
Group AMANA: Built to Last
By: Hise Gibson and Fares Khrais
The case chronicles the Bsaibes brothers’ journey in founding and operating Group AMANA; a contracting business founded in 1993, based in the United Arab Emirates with operations across the Middle East. Over the years, the business found itself grappling with major... View Details
Keywords: Business Model; Family Business; Transformation; Growth and Development Strategy; Management Succession; Business Strategy; Construction Industry; Middle East; Saudi Arabia; United Arab Emirates
Gibson, Hise, and Fares Khrais. "Group AMANA: Built to Last." Harvard Business School Case 625-068, November 2024.
- 2024
- Working Paper
Scaling Core Earnings Measurement with Large Language Models
By: Matthew Shaffer and Charles CY Wang
We study the application of large language models (LLMs) to the estimation of core earnings, i.e., a firm's persistent profitability from its core business activities. This construct is central to investors' assessments of economic performance and valuations. However,... View Details
Keywords: Large Language Models; AI and Machine Learning; Accounting; Profit; Corporate Disclosure; Analytics and Data Science; Measurement and Metrics
Shaffer, Matthew, and Charles CY Wang. "Scaling Core Earnings Measurement with Large Language Models." Working Paper, November 2024.