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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).
- 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...
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- 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...
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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).
- February 2024
- Article
Fifty Shades of QE: Robust Evidence
By: Brian Fabo, Marina Jančoková, Elisabeth Kempf and Ľuboš Pástor
Fabo et al. (2021) show that papers written by central bank researchers find quantitative easing (QE) to be more effective than papers written by academics. Weale and Wieladek (2022) show that a subset of these results lose statistical significance when OLS regressions...
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Keywords:
Quantitative Easing;
Research;
Mathematical Methods;
Perception;
Banks and Banking;
Body of Literature
Fabo, Brian, Marina Jančoková, Elisabeth Kempf, and Ľuboš Pástor. "Fifty Shades of QE: Robust Evidence." Art. 107065. Journal of Banking & Finance 159 (February 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,...
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- January 2024
- Article
Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger
By: Chiara Farronato, Jessica Fong and Andrey Fradkin
Digital platforms are increasingly the subject of regulatory scrutiny. In comparison to multiple competitors, a single platform may increase consumer welfare if network effects are large or may decrease welfare due to higher prices or reduction in platform variety. We...
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Keywords:
Platform Differentiation;
Digital Platforms;
Network Effects;
Measurement and Metrics;
Mergers and Acquisitions;
Outcome or Result
Farronato, Chiara, Jessica Fong, and Andrey Fradkin. "Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger." Management Science 70, no. 1 (January 2024): 464–483.
- 2024
- Working Paper
Lost in Transmission
By: Thomas Graeber, Shakked Noy and Christopher Roth
For many decisions, people rely on information received from others by word of mouth. How does the process of verbal transmission distort economic information? In our experiments, participants listen to audio recordings containing economic forecasts and are paid to...
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Keywords:
Information Trnasmission;
Word Of Mouth;
Word-of-Mouth;
Narratives;
Reliability;
Knowledge Sharing;
Spoken Communication;
Cognition and Thinking
Graeber, Thomas, Shakked Noy, and Christopher Roth. "Lost in Transmission." Harvard Business School Working Paper, No. 24-047, January 2024.
- 2023
- Working Paper
Estimating Productivity in the Presence of Spillovers: Firm-Level Evidence from the U.S. Production Network
By: Ebehi Iyoha
This paper examines the extent to which productivity gains are transmitted across U.S. firms through buyer-supplier relationships. Many empirical studies measure firm-to-firm spillovers using firm-level productivity estimates derived from control function approaches....
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Iyoha, Ebehi. "Estimating Productivity in the Presence of Spillovers: Firm-Level Evidence from the U.S. Production Network." Harvard Business School Working Paper, No. 24-033, December 2023. (Winner of the Young Economists' Essay Award at the 2021 Annual Conference of the European Association for Research in Industrial Economics (EARIE))
- 2023
- Article
MoPe: Model Perturbation-based Privacy Attacks on Language Models
By: Marvin Li, Jason Wang, Jeffrey Wang and Seth Neel
Recent work has shown that Large Language Models (LLMs) can unintentionally leak sensitive information present in their training data. In this paper, we present Model Perturbations (MoPe), a new method to identify with high confidence if a given text is in the training...
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Li, Marvin, Jason Wang, Jeffrey Wang, and Seth Neel. "MoPe: Model Perturbation-based Privacy Attacks on Language Models." Proceedings of the Conference on Empirical Methods in Natural Language Processing (2023): 13647–13660.
- 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...
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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
- 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
- Other Unpublished Work
If 3 Was 9
One determinant of where economies and markets are headed is how well we handle the climate crisis. Headlines on the climate tend to emphasize two points. First, average global temps are rising, with it being the hottest summer in 1,000 centuries per some estimates....
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Cohen, Randolph B. "If 3 Was 9." August 2023. (LinkedIn Articles.)
- June 2023
- Article
Are You Listening to Me? The Negative Link between Extraversion and Perceived Listening
By: Francis J Flynn, Hanne Collins and Julian Zlatev
Extraverts are often characterized as highly social individuals who are highly invested in their interpersonal interactions. We propose that extraverts' interaction partners hold a different view-that extraverts are highly social, but not highly invested. Across six...
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Keywords:
Extraversion;
Listening;
Self-monitoring;
Sociability;
Interaction;
Interpersonal Communication;
Perception
Flynn, Francis J., Hanne Collins, and Julian Zlatev. "Are You Listening to Me? The Negative Link between Extraversion and Perceived Listening." Personality and Social Psychology Bulletin 49, no. 6 (June 2023): 837–851.
- April 2023
- Case
Ryan Serhant: Time Management for Repeatable Success (A)
By: Ashley Whillans and Hawken Lord
From an open-concept 90’s-style stone and wood cabin in Dublin, New Hampshire, Ryan Serhant reflected on his career as a real estate broker. As Ryan stared into the fireplace that featured prominently in the center of the house, he wondered whether the period of...
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Keywords:
Real Estate;
Time Management;
Decision Choices and Conditions;
Personal Development and Career;
Real Estate Industry
Whillans, Ashley, and Hawken Lord. "Ryan Serhant: Time Management for Repeatable Success (A)." Harvard Business School Case 923-048, April 2023.
- 2023
- Working Paper
Applications or Approvals: What Drives Racial Disparities in the Paycheck Protection Program?
By: Sergey Chernenko, Nathan Kaplan, Asani Sarkar and David S. Scharfstein
We use the 2020 Small Business Credit Survey to study the sources of racial disparities in use of the Paycheck Protection Program (PPP). Black-owned firms are 8.9 percentage points less likely than observably similar white-owned firms to receive PPP loans. About 55% of...
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Chernenko, Sergey, Nathan Kaplan, Asani Sarkar, and David S. Scharfstein. "Applications or Approvals: What Drives Racial Disparities in the Paycheck Protection Program?" NBER Working Paper Series, No. 31172, April 2023.
- 2023
- Article
A Randomized Trial of Behavioral Nudges Delivered through Text Messages to Increase Influenza Vaccination among Patients with an Upcoming Primary Care Visit
By: Mitesh S. Patel, Katherine L. Milkman, Linnea Gandhi, Heather N. Graci, Dena Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Jake Rothschild, Modupe Akinola, John Beshears, Jonathan E. Bogard, Alison Buttenheim, Christopher Chabris, Gretchen B. Chapman, James J. Choi, Hengchen Dai, Craig R. Fox, Amir Goren, Matthew D. Hilchey, Jillian Hmurovic, Leslie John, Dean Karlan, Melanie Kim, David Laibson, Cait Lamberton, Brigitte C. Madrian, Michelle N. Meyer, Maria Modanu, Jimin Nam, Todd Rogers, Renante Rondina, Silvia Saccardo, Maheen Shermohammed, Dilip Soman, Jehan Sparks, Caleb Warren, Megan Weber, Ron Berman, Chalanda N. Evans, Seung Hyeong Lee, Christopher K. Snider, Eli Tsukayama, Christophe Van den Bulte, Kevin G. Volpp and Angela L. Duckworth
Purpose: To evaluate if nudges delivered by text message prior to an upcoming primary care visit can increase influenza vaccination rates.
Design: Randomized, controlled trial.
Setting: Two health systems in the Northeastern US between September 2020 and... View Details
Design: Randomized, controlled trial.
Setting: Two health systems in the Northeastern US between September 2020 and... View Details
Keywords:
Vaccination;
Health Care and Treatment;
Interpersonal Communication;
Communication Technology;
Behavior;
Health Industry
Patel, Mitesh S., Katherine L. Milkman, Linnea Gandhi, Heather N. Graci, Dena Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Jake Rothschild, Modupe Akinola, John Beshears, Jonathan E. Bogard, Alison Buttenheim, Christopher Chabris, Gretchen B. Chapman, James J. Choi, Hengchen Dai, Craig R. Fox, Amir Goren, Matthew D. Hilchey, Jillian Hmurovic, Leslie John, Dean Karlan, Melanie Kim, David Laibson, Cait Lamberton, Brigitte C. Madrian, Michelle N. Meyer, Maria Modanu, Jimin Nam, Todd Rogers, Renante Rondina, Silvia Saccardo, Maheen Shermohammed, Dilip Soman, Jehan Sparks, Caleb Warren, Megan Weber, Ron Berman, Chalanda N. Evans, Seung Hyeong Lee, Christopher K. Snider, Eli Tsukayama, Christophe Van den Bulte, Kevin G. Volpp, and Angela L. Duckworth. "A Randomized Trial of Behavioral Nudges Delivered through Text Messages to Increase Influenza Vaccination among Patients with an Upcoming Primary Care Visit." American Journal of Health Promotion 37, no. 3 (2023): 324–332.
- January–February 2023
- Article
Forecasting COVID-19 and Analyzing the Effect of Government Interventions
By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more...
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Keywords:
COVID-19 Pandemic;
Epidemics;
Analytics and Data Science;
Health Pandemics;
AI and Machine Learning;
Forecasting and Prediction
Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. "Forecasting COVID-19 and Analyzing the Effect of Government Interventions." Operations Research 71, no. 1 (January–February 2023): 184–201.
- 2023
- Working Paper
Networking Frictions: Evidence from Entrepreneurial Networking Events in Lomé
By: Stefan Dimitiadis and Rembrand Koning
Spatial proximity between firms plays a crucial role in entrepreneurship by creating knowledge spillovers, enabling resource sharing, and sparking productivity gains. Building on these insights, research has explored whether institutions and organizations can engineer...
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Dimitiadis, Stefan, and Rembrand Koning. "Networking Frictions: Evidence from Entrepreneurial Networking Events in Lomé." Working Paper, February 2023.
- 2024
- Working Paper
Improving Human-Algorithm Collaboration: Causes and Mitigation of Over- and Under-Adherence
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information
which an algorithm does not have access to that can improve performance. How can we help humans effectively use
and adjust recommendations made by...
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Keywords:
Cognitive Biases;
Algorithm Transparency;
Forecasting and Prediction;
Behavior;
AI and Machine Learning;
Analytics and Data Science;
Cognition and Thinking
Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Improving Human-Algorithm Collaboration: Causes and Mitigation of Over- and Under-Adherence." Working Paper, February 2024.
- November 2022
- Case
Ajax Health: A New Model for Medical Technology Innovation
By: Regina E. Herzlinger and Ben Creo
This case teaches key success factors for both startup and established MedTech firms. It examines how to structure a firm to maximize innovation and financial returns with organizational structures that better align the incentives for the different skill sets...
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Keywords:
Business Startups;
Success;
Innovation Strategy;
Mergers and Acquisitions;
Market Entry and Exit;
Financial Strategy;
Business Model;
Partners and Partnerships;
Entrepreneurship;
Private Equity;
Technology Industry;
Medical Devices and Supplies Industry
Herzlinger, Regina E., and Ben Creo. "Ajax Health: A New Model for Medical Technology Innovation." Harvard Business School Case 323-043, November 2022.