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- June 2024
- Article
Real Growth in Space Manufacturing Output Substantially Exceeds Growth in the Overall Space Economy
By: Tina Highfill and Matthew Weinzierl
Accurately measuring real economic output in the space economy is made difficult by the rapid increase in capabilities and decrease in prices of launch and satellite technologies achieved over the past two decades. Nominal measures of output in space will tend to...
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Highfill, Tina, and Matthew Weinzierl. "Real Growth in Space Manufacturing Output Substantially Exceeds Growth in the Overall Space Economy." Acta Astronautica 219 (June 2024): 236–242.
- March 2024
- Teaching Note
Sonder Holdings Inc.: Using Technology to Solve Hospitality's Frictions
By: John A. Deighton and Leora Kornfeld
Teaching Note for HBS Case No. 922-039. Digital disruption is challenging the hospitality industry. Traditional hotels face competition from platforms, most visibly Airbnb but also the homeshare divisions of online travel agencies such as Expedia and Booking.com, that...
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- March 7, 2024
- Article
Integrating Digital Tools into Every Stage of Your Sales Strategy
By: Frank V. Cespedes and Georg Krentzel
In their growth and customer-acquisition activities, most companies now face twin challenges: understanding and responding to omni-channel buying behavior and doing that without inadvertently decreasing sales productivity. Thirty years ago, Peter Drucker noted that...
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Keywords:
Sales Management;
Digital Tools;
Sales;
Marketing Channels;
Technology Adoption;
Brands and Branding
Cespedes, Frank V., and Georg Krentzel. "Integrating Digital Tools into Every Stage of Your Sales Strategy." Harvard Business Review (website) (March 7, 2024).
- Working Paper
Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application
By: Flora Feng, Charis Li and Shunyuan Zhang
Peer-to-peer (P2P) marketplaces have seen exponential growth in recent years featured by unique offerings from individual providers. Despite the perceived value of uniqueness, scalable quantification of visual uniqueness in P2P platforms like Airbnb has been largely...
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Keywords:
Peer-to-peer Markets;
Marketplace Matching;
AI and Machine Learning;
Demand and Consumers;
Digital Platforms;
Marketing
Feng, Flora, Charis Li, and Shunyuan Zhang. "Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application." SSRN Working Paper Series, No. 4665286, February 2024.
- October 2023 (Revised February 2024)
- Case
Loris
By: Shunyuan Zhang, Das Narayandas, Stacy Straaberg and David Lane
In December 2022, Loris’s executive team considered their go-to-market strategy. Loris was an artificial intelligence (AI) software startup for the customer service industry with two products on the market: 1) Agent Assist which provided customer service agents (CSAs)...
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- October, 2023
- Article
Cleaning Up the Great Lakes: Housing Market Impacts of Removing Legacy Pollutants
By: Alecia Cassidy, Robyn C. Meeks and Michale R. Moore
The Great Lakes and their tributaries make up the largest freshwater system on the planet, providing drinking water and recreational value to millions of people. Yet manufacturing plants left a legacy of toxic pollutants in the region, tarnishing it as part of the...
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Keywords:
Valuation Of Environmental Effects;
Housing Demand;
Water Pollution;
Water Quality;
Infrastructure;
Pollution;
Consumer Behavior
Cassidy, Alecia, Robyn C. Meeks, and Michale R. Moore. "Cleaning Up the Great Lakes: Housing Market Impacts of Removing Legacy Pollutants." Journal of Public Economics 226 (October, 2023).
- 2023
- Working Paper
The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling
By: Caleb Kwon, Antonio Moreno and Ananth Raman
Are the inputs used by your AI tool correct and up to date? In this paper, we show that the answer to this question: (i) is frequently a “no” in real business contexts, and (ii) has significant implications on the performance of AI tools. In the context of algorithmic...
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Kwon, Caleb, Antonio Moreno, and Ananth Raman. "The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling." Working Paper, October 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...
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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.
- 2023
- Working Paper
Toward Decision-Useful Carbon Information
By: Gunther Glenk
Companies are increasingly viewed as crucial drivers for timely decarbonization. Current accounting practices for greenhouse gas (GHG) emissions, however, often leave corporate carbon disclosures and abatement obscured. Here I introduce a taxonomy for assuring the...
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Keywords:
Carbon Emissions;
Decarbonization;
Carbon Accounting;
Net-zero Emissions;
Greenhouse Gas Emissions;
Environment;
Environmental Impact;
Management;
Sustainable Cities;
Corporate Disclosure;
Environmental Accounting;
Environmental Management;
Climate Change;
Information Technology Industry;
Information Technology Industry;
Information Technology Industry;
Information Technology Industry;
Information Technology Industry;
Information Technology Industry;
Information Technology Industry;
Information Technology Industry;
Information Technology Industry;
Information Technology Industry;
Information Technology Industry;
Information Technology Industry;
Information Technology Industry;
Information Technology Industry;
Europe;
North America;
South America;
Africa;
Asia
Glenk, Gunther. "Toward Decision-Useful Carbon Information." Harvard Business School Working Paper, No. 24-026, September 2023. (TRR 266 Accounting for Transparency Working Paper Series, No. 121, May 2023.)
- 2023
- Working Paper
Beyond the Hype: Unveiling the Marginal Benefits of 3D Virtual Tours in Real Estate
By: Mengxia Zhang and Isamar Troncoso
3D virtual tours (VTs) have become a popular digital tool in real estate platforms, enabling potential buyers to virtually walk through the houses they search for online. In this paper, we study home sellers’ adoption of VTs and the VTs’ relative benefits compared to...
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Zhang, Mengxia, and Isamar Troncoso. "Beyond the Hype: Unveiling the Marginal Benefits of 3D Virtual Tours in Real Estate." Harvard Business School Working Paper, No. 24-003, July 2023.
- 2023
- Working Paper
Managing Remote Work Quality: Evidence from Management Systems Standards Auditing
By: Ashley Palmarozzo and Michael W. Toffel
Remote work has become more common, providing operational flexibility and productivity benefits, but questions remain about whether and how it affects quality. This study investigates the quality effects of remote work in a diagnostic service context in which remote...
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Keywords:
Audit;
Auditing;
Remote Work;
Compliance;
Assessment;
Environment;
Management Systems;
Quality Management;
Quality Management System;
Quality;
Operations;
Supply Chain Management;
Environmental Management;
Safety
Palmarozzo, Ashley, and Michael W. Toffel. "Managing Remote Work Quality: Evidence from Management Systems Standards Auditing." Harvard Business School Working Paper, No. 24-002, July 2023.
- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are...
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Keywords:
AI;
Artificial Intelligence;
Model;
Hardware;
Data Centers;
AI and Machine Learning;
Applications and Software;
Analytics and Data Science;
Value
Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
- 2023
- Working Paper
Second- versus Third-party Audit Quality: Evidence from Global Supply Chain Monitoring
By: Maria R. Ibanez, Ashley Palmarozzo, Jodi L. Short and Michael W. Toffel
To capitalize on the superior credibility and flexibility and lower cost of external assessments, many global buyers are shifting from using their own employee (“second-party”) auditors to relying more heavily (or entirely) on third-party auditors to monitor and...
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Keywords:
Auditing;
Audit Quality;
Working Conditions;
Sustainability;
Empirical Operations;
Empirical Service Operations;
Sustainability Management;
Corporate Accountability;
Agency Theory;
Corporate Social Responsibility and Impact;
Supply Chain Management
Ibanez, Maria R., Ashley Palmarozzo, Jodi L. Short, and Michael W. Toffel. "Second- versus Third-party Audit Quality: Evidence from Global Supply Chain Monitoring." Working Paper, June 2023.
- April 2023
- Article
Inattentive Inference
By: Thomas Graeber
This paper studies how people infer a state of the world from information structures that include additional, payoff-irrelevant states. For example, learning from a customer review about a product’s quality requires accounting for the reviewer’s otherwise irrelevant...
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Graeber, Thomas. "Inattentive Inference." Journal of the European Economic Association 21, no. 2 (April 2023): 560–592.
- March 2023 (Revised June 2023)
- Teaching Note
Ransomware Attack at Springhill Medical Center
By: Suraj Srinivasan and Li-Kuan (Jason) Ni
Teaching Note for HBS Case No. 123-065. In July, 2019, Springhill Medical Center (“SMC”) in Mobile, Alabama fell prey to a malicious ransomware attack that crippled the hospital’s internal network systems and public-facing web page. While the hospital rushed to...
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Keywords:
Disruption;
Communication;
Communication Strategy;
Decision Making;
Decision Choices and Conditions;
Judgments;
Corporate Accountability;
Corporate Disclosure;
Corporate Governance;
Governance Controls;
Policy;
Employees;
News;
Cybersecurity;
Digital Strategy;
Information Infrastructure;
Information Management;
Internet and the Web;
Crisis Management;
Business or Company Management;
Resource Allocation;
Risk Management;
Negotiation Tactics;
Failure;
Business and Stakeholder Relations;
Attitudes;
Behavior;
Perception;
Reputation;
Trust;
Public Opinion;
Social Issues;
Health Industry;
Alabama;
United States
- February 2023
- Case
Ransomware Attack at Springhill Medical Center
By: Suraj Srinivasan and Li-Kuan (Jason) Ni
In July, 2019, Springhill Medical Center (“SMC”) in Mobile, Alabama, fell prey to a malicious ransomware attack that crippled the hospital’s internal network systems and public-facing web page. While the hospital rushed to securely restore the network, medical...
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Keywords:
Disruption;
Communication;
Communication Strategy;
Decision Making;
Decision Choices and Conditions;
Judgments;
Corporate Accountability;
Corporate Disclosure;
Corporate Governance;
Governance Controls;
Policy;
Employees;
News;
Cybersecurity;
Digital Strategy;
Information Infrastructure;
Information Management;
Internet and the Web;
Crisis Management;
Resource Allocation;
Risk Management;
Negotiation Tactics;
Failure;
Business and Stakeholder Relations;
Attitudes;
Behavior;
Perception;
Reputation;
Trust;
Public Opinion;
Social Issues;
Health Industry;
United States;
Alabama
Srinivasan, Suraj, and Li-Kuan (Jason) Ni. "Ransomware Attack at Springhill Medical Center." Harvard Business School Case 123-065, February 2023.
- 2023
- Article
Evaluating Explainability for Graph Neural Networks
By: Chirag Agarwal, Owen Queen, Himabindu Lakkaraju and Marinka Zitnik
As explanations are increasingly used to understand the behavior of graph neural networks (GNNs), evaluating the quality and reliability of GNN explanations is crucial. However, assessing the quality of GNN explanations is challenging as existing graph datasets have no...
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Keywords:
Analytics and Data Science
Agarwal, Chirag, Owen Queen, Himabindu Lakkaraju, and Marinka Zitnik. "Evaluating Explainability for Graph Neural Networks." Art. 114. Scientific Data 10 (2023).
- December 2022
- Case
Freelancer, Ltd.
By: Christopher Stanton, Karim R. Lakhani, Jin Hyun Paik and Nina Cohodes
Over the course of the 2010s, the rapid advancement of mobile technologies and the rise of online freelancing platforms seemed to portend a radical transformation of labor markets into on-demand, flexible talent pools. Even though several Fortune 500...
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- December 2022
- Supplement
Freelancer, Ltd. Case Supplement
By: Christopher Stanton, Karim R. Lakhani, Jin Hyun Paik and Nina Cohodes
Over the course of the 2010s, the rapid advancement of mobile technologies and the rise of online freelancing platforms seemed to portend a radical transformation of labor markets into on-demand, flexible talent pools. Even though several Fortune 500 companies,...
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Keywords:
Labor Markets;
Freelancers;
Change Management;
Corporate Entrepreneurship;
Globalized Firms and Management;
Human Capital;
Employment;
Digital Platforms;
Global Range;
Adoption;
Governing Rules, Regulations, and Reforms;
Growth and Development Strategy;
Information Industry;
Information Industry;
Information Industry;
Information Industry;
Australia;
United States;
Philippines
Stanton, Christopher, Karim R. Lakhani, Jin Hyun Paik, and Nina Cohodes. "Freelancer, Ltd. Case Supplement." Harvard Business School Multimedia/Video Supplement 823-707, December 2022. (Click here to access this case.)
- 2022
- Working Paper
The Limits of Decentralized Administrative Data Collection: Experimental Evidence from Colombia
By: Natalia Garbiras-Diaz and Tara Slough
States collect vast amounts of data for use in policymaking and public administration. To
do so, central governments frequently solicit data from decentralized bureaucrats. Because
central governments use these data in policymaking, decentralized bureaucrats may face...
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Keywords:
Decentralization;
Policy-making;
Policy/economics;
Policy Evaluation;
Governance;
Government Administration;
Government and Politics;
Government Legislation;
Policy;
Public Opinion;
Analytics and Data Science;
Latin America;
South America;
Colombia
Garbiras-Diaz, Natalia, and Tara Slough. "The Limits of Decentralized Administrative Data Collection: Experimental Evidence from Colombia." Working Paper, December 2022.