Filter Results
:
(563)
Show Results For
-
All HBS Web
(2,406)
- Faculty Publications (563)
Show Results For
-
All HBS Web
(2,406)
- Faculty Publications (563)
Page 1 of
563
Results
→
- June 2024
- Article
Enhancing Value and Well-Being: The Basket of Motivators Framework for Aligning Neurology Clinical Practices with Performance Outcomes
By: Peter N. Hadar, Susanna Gallani and Lidia Moura
Physician burnout, which is prevalent in neurology, has accelerated in recent years. While multifactorial, a major contributing factor to burnout is a payment model that rewards volume over quality, leaving physicians overburdened and unfulfilled. The aim of this...
View Details
Keywords:
Compensation and Benefits;
Personal Development and Career;
Well-being;
Motivation and Incentives
Hadar, Peter N., Susanna Gallani, and Lidia Moura. "Enhancing Value and Well-Being: The Basket of Motivators Framework for Aligning Neurology Clinical Practices with Performance Outcomes." Neurology: Clinical Practice 14, no. 1 (June 2024).
- June 2024
- Article
Going Digital: Implications for Firm Value and Performance
By: Wilbur Chen and Suraj Srinivasan
We examine firm value and performance implications of the growing trend of non-technology companies engaging in digital transformation. We measure digital activities in firms based on the disclosure of digital words in the business description section of 10-Ks. Digital...
View Details
Keywords:
Digital Technologies;
Valuation;
Return Predictability;
Financial Statement Analysis;
Performance;
Value;
Information Technology
Chen, Wilbur, and Suraj Srinivasan. "Going Digital: Implications for Firm Value and Performance." Review of Accounting Studies 29, no. 2 (June 2024): 1619–1665.
- 2024
- Working Paper
Dusting Off the Old Ones: Drug Licensing to Startups, Innovation Success and Efficiency
By: Mosab Hammoudeh, Joshua Lev Krieger and Jiajie Xu
This paper investigates whether moving R&D from incumbents to startups can increase innovation. Using comprehensive drug development data, we examine the outcomes of drug projects licensed from large firms to startups. We find that these projects licensed to startups...
View Details
Keywords:
Product Development;
Innovation and Invention;
Business Startups;
Research and Development;
Performance Efficiency;
Pharmaceutical Industry
Hammoudeh, Mosab, Joshua Lev Krieger, and Jiajie Xu. "Dusting Off the Old Ones: Drug Licensing to Startups, Innovation Success and Efficiency." Harvard Business School Working Paper, No. 24-067, March 2024.
- April 2024
- Case
Dr. Tom Mihaljevic and Cleveland Clinic
By: Linda A. Hill and Lydia Begag
In December 2022, Dr. Tomislav (“Tom”) Mihaljevic, CEO and President of Cleveland Clinic, was reflecting on the last few years at the hospital, marked both by unprecedented challenges and remarkable achievements. Cleveland Clinic had recently been ranked the world’s...
View Details
Keywords:
Recruitment;
Retention;
Analytics and Data Science;
Digital Transformation;
Digital Platforms;
Innovation and Management;
Innovation Leadership;
Human Capital;
Leadership;
Leadership Development;
Leadership Style;
Leading Change;
Organizational Culture;
Organizational Structure;
Organizational Change and Adaptation;
Mission and Purpose;
Outcome or Result;
Performance;
Performance Evaluation;
Health Industry;
Cleveland;
London;
Abu Dhabi;
Florida;
Ohio
Hill, Linda A., and Lydia Begag. "Dr. Tom Mihaljevic and Cleveland Clinic." Harvard Business School Case 424-031, April 2024.
- 2024
- Working Paper
Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions
We investigate whether corporate officers should grant managers discretion to override AI-driven demand forecasts and labor scheduling tools. Analyzing five years of administrative data from a large grocery retailer using such an AI tool, encompassing over 500 stores,...
View Details
Keywords:
AI and Machine Learning;
Forecasting and Prediction;
Working Conditions;
Performance Productivity
Kwon, Caleb, Ananth Raman, and Jorge Tamayo. "Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions." Working Paper, April 2024.
- 2024
- Working Paper
Does the Case for Private Equity Still Hold?
By: Nori Gerardo Lietz and Philipp Chvanov
Private Equity (“PE”) received a 10-fold increase in capital flows since the Great Financial Crisis (“GFC”) Investors sought higher nominal returns relative to those they could obtain in the public capital markets. This paper questions the fundamental assumptions...
View Details
Lietz, Nori Gerardo, and Philipp Chvanov. "Does the Case for Private Equity Still Hold?" Harvard Business School Working Paper, No. 24-066, January 2024.
- March–April 2024
- Article
Case Study: Navigating Labor Unrest
By: Jorge Tamayo
Paulo Ferreira, the president of Luna Brazil, has an ambitious plan to turn around the dismal performance of the plant he oversees in Campinas. The wrinkle is, he needs the buy-in of the powerful local union, which is still smarting from a 10-year-old labor conflict...
View Details
Keywords:
Strategy And Execution;
Layoffs;
Manufacturing;
Labor and Management Relations;
Labor Unions;
Negotiation Tactics;
Conflict and Resolution;
Performance Improvement;
Corporate Strategy;
Manufacturing Industry;
Brazil
Tamayo, Jorge. "Case Study: Navigating Labor Unrest." Harvard Business Review 102, no. 2 (March–April 2024): 144–149.
- 2024
- Working Paper
Greenlighting Innovative Projects: How Evaluation Format Shapes the Perceived Feasibility of Novel Ideas
By: Jacqueline N. Lane, Tianxi Cai, Michael Menietti, Griffin Weber and Eva C. Guinan
Evaluation of novel projects is essential for scientific and technological advancement. However,
evaluator bias toward a project’s potential can obscure its limitations. This study investigates
evaluation formats by contrasting combined assessments of novelty and...
View Details
Lane, Jacqueline N., Tianxi Cai, Michael Menietti, Griffin Weber, and Eva C. Guinan. "Greenlighting Innovative Projects: How Evaluation Format Shapes the Perceived Feasibility of Novel Ideas." Harvard Business School Working Paper, No. 24-064, March 2024.
- 2024
- Working Paper
Choosing and Using Information in Evaluation Decisions
By: Katherine Baldiga Coffman, Scott Kostyshak and Perihan O. Saygin
Most studies of gender discrimination consider how male versus female candidates are assessed given otherwise identical information about them. But, in many settings of interest, evaluators have a choice about how much information to acquire about a candidate before...
View Details
- March 2024
- Article
Do Safety Management System Standards Indicate Safer Operations? Evidence from the OHSAS 18001 Occupational Health and Safety Standard
By: Kala Viswanathan, Matthew S. Johnson and Michael W. Toffel
Problem definition: Given the enormous disruptions and costs of occupational injuries, companies and buyers are increasingly looking to voluntary occupational health and safety standards to improve worker safety. Yet because these standards only require...
View Details
Keywords:
Occupational Health;
Occupational Safety;
Program Evaluation;
Safety Performance;
Injuries;
OHSAS 18001;
ISO 45001;
Working Conditions;
Safety;
Standards
Viswanathan, Kala, Matthew S. Johnson, and Michael W. Toffel. "Do Safety Management System Standards Indicate Safer Operations? Evidence from the OHSAS 18001 Occupational Health and Safety Standard." Art. 106383. Safety Science 171 (March 2024).
- 2024
- Working Paper
Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift
By: Matthew DosSantos DiSorbo and Kris Ferreira
Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). These outliers often originate from covariate shift,...
View Details
DosSantos DiSorbo, Matthew, and Kris Ferreira. "Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift." Working Paper, February 2024.
- January–February 2024
- Article
Shared Service Delivery Can Increase Client Engagement: A Study of Shared Medical Appointments
By: Ryan W. Buell, Kamalini Ramdas, Nazlı Sönmez, Kavitha Srinivasan and Rengaraj Venkatesh
Problem Definition: Clients and service providers alike often consider one-on-one service delivery to be ideal, assuming – perhaps unquestioningly – that devoting individualized attention best improves client outcomes. In contrast, in shared service delivery, clients...
View Details
Keywords:
Health Care and Treatment;
Customer Satisfaction;
Outcome or Result;
Performance Improvement
Buell, Ryan W., Kamalini Ramdas, Nazlı Sönmez, Kavitha Srinivasan, and Rengaraj Venkatesh. "Shared Service Delivery Can Increase Client Engagement: A Study of Shared Medical Appointments." Manufacturing & Service Operations Management 26, no. 1 (January–February 2024): 154–166.
- 2023
- Working Paper
Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach
By: Ta-Wei Huang and Eva Ascarza
Data-driven targeted interventions have become a powerful tool for organizations to optimize business outcomes
by utilizing individual-level data from experiments. A key element of this process is the estimation
of Conditional Average Treatment Effects (CATE), which...
View Details
Huang, Ta-Wei, and Eva Ascarza. "Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach." Harvard Business School Working Paper, No. 24-034, December 2023.
- 2023
- Article
Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset
By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li
Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,...
View Details
Keywords:
Large Language Model;
AI and Machine Learning;
Analytics and Data Science;
Health Industry
Liu, Junling, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, and Michael Lingzhi Li. "Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
- 2023
- Article
Post Hoc Explanations of Language Models Can Improve Language Models
By: Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh and Himabindu Lakkaraju
Large Language Models (LLMs) have demonstrated remarkable capabilities in performing complex tasks. Moreover, recent research has shown that incorporating human-annotated rationales (e.g., Chain-of-Thought prompting) during in-context learning can significantly enhance...
View Details
Krishna, Satyapriya, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, and Himabindu Lakkaraju. "Post Hoc Explanations of Language Models Can Improve Language Models." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- 2023
- Working Paper
The Uneven Impact of Generative AI on Entrepreneurial Performance
By: Nicholas G. Otis, Rowan Clarke, Solène Delecourt, David Holtz and Rembrand Koning
There is a growing belief that scalable and low-cost AI assistance can improve firm
decision-making and economic performance. However, running a business involves
a myriad of open-ended problems, making it hard to generalize from recent studies
showing that...
View Details
Keywords:
AI and Machine Learning;
Performance Improvement;
Small Business;
Decision Choices and Conditions;
Kenya
Otis, Nicholas G., Rowan Clarke, Solène Delecourt, David Holtz, and Rembrand Koning. "The Uneven Impact of Generative AI on Entrepreneurial Performance." Harvard Business School Working Paper, No. 24-042, December 2023.
- 2023
- Book
Move Fast and Fix Things: The Trusted Leader's Guide to Solving Hard Problems
By: Frances X. Frei and Anne Morriss
Speed has gotten a bad name in business, much of it deserved. When Facebook made "Move fast and break things" an informal company motto, it fueled a widely held belief that we can either make progress or take care of people, one or the other. That a certain amount of...
View Details
Keywords:
Leading Change;
Performance Improvement;
Problems and Challenges;
Organizational Change and Adaptation;
Organizational Culture
Frei, Frances X., and Anne Morriss. Move Fast and Fix Things: The Trusted Leader's Guide to Solving Hard Problems. Harvard Business Review Press, 2023.
- 2023
- Working Paper
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine...
View Details
Keywords:
Large Language Model;
AI and Machine Learning;
Performance Efficiency;
Performance Improvement
Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
- August 2023
- Supplement
Reimagining Hindustan Unilever (B)
By: Sunil Gupta and Rachna Tahilyani
In April 2023, as the CEO and MD of Hindustan Unilever (HUL), India’s largest fast-moving consumer goods (FMCG) firm, prepared to hand over the firm’s reins to his successor, he proudly reflected on the last decade. His quest to digitally transform HUL into an...
View Details
- July 2023 (Revised August 2023)
- Case
Revenue Recognition at Stride Funding: Making Sense of Revenues for a Fintech Startup
By: Paul M. Healy and Jung Koo Kang
The case explores the challenges of revenue recognition and financial reporting for Stride Funding (Stride), a fintech startup that has disrupted the student loan market. Stride leveraged proprietary machine learning and financial models to underwrite alternative...
View Details
Keywords:
Revenue Recognition;
Financial Reporting;
Entrepreneurial Finance;
Business Startups;
Growth and Development Strategy;
Governance Compliance;
Accrual Accounting;
Financial Services Industry;
United States
Healy, Paul M., and Jung Koo Kang. "Revenue Recognition at Stride Funding: Making Sense of Revenues for a Fintech Startup." Harvard Business School Case 124-015, July 2023. (Revised August 2023.)