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- June 2023
- Article
National Customer Orientation: An Empirical Test across 112 Countries
By: Ofer Mintz, Imran S. Currim and Rohit Deshpandé
Customer orientation is a central tenet of marketing. However, less is known about how customer orientation varies across countries and time. Mintz, Currim, and Deshpandé (Eur. J. Mark., 56: 1014–1041, 2022) propose a country-level construct, national customer...
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Mintz, Ofer, Imran S. Currim, and Rohit Deshpandé. "National Customer Orientation: An Empirical Test across 112 Countries." Marketing Letters 34, no. 2 (June 2023): 189–204.
- May 2023
- Article
Political Ideology and International Capital Allocation
By: Elisabeth Kempf, Mancy Luo, Larissa Schäfer and Margarita Tsoutsoura
Does investors' political ideology shape international capital allocation? We provide evidence from two settings—syndicated corporate loans and equity mutual funds—to show ideological alignment with foreign governments affects the cross-border capital allocation by...
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Keywords:
Capital Flows;
Syndicated Loans;
Mutual Funds;
Partisanship;
Polarization;
Elections;
Political Ideology;
Banks and Banking;
Institutional Investing;
Behavioral Finance;
Decision Choices and Conditions
Kempf, Elisabeth, Mancy Luo, Larissa Schäfer, and Margarita Tsoutsoura. "Political Ideology and International Capital Allocation." Journal of Financial Economics 148, no. 2 (May 2023): 150–173.
- April 2023
- Article
The Stock Market Valuation of Human Capital Creation
By: Ethan Rouen and Matthias Regier
We develop a measure of firm-year-specific human capital investment from publicly disclosed personnel expenses (PE) and examine the stock market valuation of this investment. Measuring the future value of PE (PEFV) based on the relation between...
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Rouen, Ethan, and Matthias Regier. "The Stock Market Valuation of Human Capital Creation." Art. 102384. Journal of Corporate Finance 79 (April 2023).
- April 2023
- Article
The Subjective Expected Utility Approach and a Framework for Defining Project Risk in Terms of Novelty and Feasibility—A Response to Franzoni and Stephan (2023), ‘Uncertainty and Risk-Taking in Science’
In their Discussion Paper, Franzoni and Stephan (F&S, 2023) discuss the shortcomings of existing peer review models in shaping the funding of risky science. Their discussion offers a conceptual framework for incorporating risk into peer review models of research...
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Lane, Jacqueline N. "The Subjective Expected Utility Approach and a Framework for Defining Project Risk in Terms of Novelty and Feasibility—A Response to Franzoni and Stephan (2023), ‘Uncertainty and Risk-Taking in Science’." Art. 104707. Research Policy 52, no. 3 (April 2023).
- 2023
- Working Paper
Organizational Responses to Product Cycles
By: Achyuta Adhvaryu, Vittorio Bassi, Anant Nyshadham, Jorge Tamayo and Nicolas Torres
Product cycles entail the mass production of new—and often increasingly complex—products on a regular basis. How do firms manage these changes? We use granular daily data from a leading automobile manufacturer to study the organizational impacts of introducing new...
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Keywords:
Training;
Organizational Change and Adaptation;
Knowledge Management;
Production;
Product;
Organizational Structure;
Auto Industry;
Argentina
Adhvaryu, Achyuta, Vittorio Bassi, Anant Nyshadham, Jorge Tamayo, and Nicolas Torres. "Organizational Responses to Product Cycles." Harvard Business School Working Paper, No. 23-061, March 2023.
- March 2023
- Case
MrBeast: Building a YouTube Empire
By: Anita Elberse and Oliver Band
Wednesday November 16, 2022 was a historic day in the ascent of Jimmy Donaldson, better known as MrBeast, to the top echelon of YouTube creators. That day he became the YouTuber with the most subscribers ever—a total of 112 million. The meteoric rise of the 24-year-old...
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Elberse, Anita, and Oliver Band. "MrBeast: Building a YouTube Empire." Harvard Business School Case 523-103, March 2023.
- March 2023
- Case
Layoffs in the Tech Industry: 2022-2023
By: Sandra J. Sucher and Marilyn Morgan Westner
A wave of mass layoffs swept through the tech industry, dominating news from 2022 through spring 2023. Empirical research and longitudinal studies demonstrate that layoffs rarely provide a viable long-term solution to financial problems. Why did so many tech companies...
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- 2023
- Working Paper
Rule by Market: The Chinese State in Factor Markets
By: Meg Rithmire
Political economy on China and beyond generally has been premised on a trade-off between state and market power. In the context of China’s reforms, markets and market mechanisms were hypothesized to replace state power in allocating important economic resources. Yet,...
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Rithmire, Meg. "Rule by Market: The Chinese State in Factor Markets." Harvard Business School Working Paper, No. 23-040, March 2023.
- February 2023
- Article
The Effect of Systems of Management Controls on Honesty in Managerial Reporting
By: Aishwarrya Deore, Susanna Gallani and Ranjani Krishnan
While budgetary controls with capital rationing are optimal in theory and widespread in practice, empirical research documents their association with higher employee dishonesty compared to budgetary controls without rationing. In this study, we examine whether...
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Keywords:
Directing Controls;
Misreporting;
Mission Statements;
Participative Budgeting;
Stewardship Theory;
Systems Of Management Controls;
Capital;
Budgets and Budgeting;
Mission and Purpose
Deore, Aishwarrya, Susanna Gallani, and Ranjani Krishnan. "The Effect of Systems of Management Controls on Honesty in Managerial Reporting." Art. 101401. Accounting, Organizations and Society 105 (February 2023).
- 2023
- Working Paper
Is Pay Transparency Good?
By: Zoë Cullen
Countries around the world are enacting pay transparency policies to combat pay discrimination.
71% of OECD countries have done so since 2000. Most are enacting transparency horizontally,
revealing pay between co-workers of similar seniority within a firm. While...
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Keywords:
Pay Transparency;
Trends;
Transition;
Communication Strategy;
Wages;
Policy;
Europe;
North America;
Australia
Cullen, Zoë. "Is Pay Transparency Good?" Harvard Business School Working Paper, No. 23-039, January 2023. (Revised March 2023.)
- 2023
- Working Paper
The Subjective Expected Utility Approach and a Framework for Defining Project Risk in Terms of Novelty and Feasibility—A Response to Franzoni and Stephan (2023), ‘Uncertainty and Risk-Taking in Science’
In their Discussion Paper, Franzoni and Stephan (F&S, 2023) discuss the shortcomings of existing peer review models in shaping the funding of risky science. Their discussion offers a conceptual framework for incorporating risk into peer review models of research...
View Details
Lane, Jacqueline N. "The Subjective Expected Utility Approach and a Framework for Defining Project Risk in Terms of Novelty and Feasibility—A Response to Franzoni and Stephan (2023), ‘Uncertainty and Risk-Taking in Science’." Harvard Business School Working Paper, No. 23-037, January 2023.
- January 2023
- Article
Calculators for Women: When Identity-Based Appeals Backfire
By: Tami Kim, Kate Barasz, Michael I. Norton and Leslie K. John
From “Chick Beer” to “Dryer Sheets for Men,” identity-based labeling is frequently deployed by marketers to appeal to specific target markets. Yet such identity appeals can backfire, alienating the very consumers they aim to attract. We theorize and empirically...
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Keywords:
Categorization Threat;
Stereotypes;
Identity;
Labels;
Gender;
Perception;
Consumer Behavior
Kim, Tami, Kate Barasz, Michael I. Norton, and Leslie K. John. "Calculators for Women: When Identity-Based Appeals Backfire." Special Issue on Racism and Discrimination in the Marketplace edited by Samantha N. N. Cross and Stephanie Dellande. Journal of the Association for Consumer Research 8, no. 1 (January 2023): 72–82.
- 2023
- Article
Experimental Evaluation of Individualized Treatment Rules
By: Kosuke Imai and Michael Lingzhi Li
The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a...
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Keywords:
Causal Inference;
Heterogeneous Treatment Effects;
Precision Medicine;
Uplift Modeling;
Analytics and Data Science;
AI and Machine Learning
Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256.
- January 2023
- Article
Psychological Safety Comes of Age: Observed Themes in an Established Literature
By: Amy C. Edmondson and Derrick P. Bransby
Since its renaissance in the 1990s, psychological safety research has
flourished—a boom motivated by recognition of the challenge of navigating uncertainty and change. Today, its theoretical and practical significance
is amplified by the increasingly complex and...
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Keywords:
Safety;
Risk and Uncertainty;
Leadership;
Working Conditions;
Research;
Performance;
Learning;
Organizational Culture
Edmondson, Amy C., and Derrick P. Bransby. "Psychological Safety Comes of Age: Observed Themes in an Established Literature." Annual Review of Organizational Psychology and Organizational Behavior 10 (January 2023): 55–78.
- Working Paper
Diversification as an Adaptive Learning Process: An Empirical Study of General-Purpose and Market-Specific Technological Know-How in New Market Entry
By: Dominika Kinga Randle and Gary P. Pisano
An enduring trait of modern corporations is their propensity to diversify into multiple lines of business. Penrosian theories conceptualize diversification as a strategy to exploit a firm’s fungible, yet “untradeable,” resources and point to redeployment of...
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Keywords:
Growth and Development Strategy;
Technology Adoption;
Diversification;
Market Entry and Exit;
Transformation
Randle, Dominika Kinga, and Gary P. Pisano. "Diversification as an Adaptive Learning Process: An Empirical Study of General-Purpose and Market-Specific Technological Know-How in New Market Entry." Harvard Business School Working Paper, No. 23-032, December 2022.
- 2022
- Article
Becoming a Learning Organization While Enhancing Performance: The Case of LEGO
By: Thomas Borup Kristensen, Henrik Saabye and Amy Edmondson
Purpose - The purpose of this study is to empirically test how problem-solving lean practices, along with
leaders as learning facilitators in an action learning approach, can be transferred from a production context to a
knowledge work context for the purpose...
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Kristensen, Thomas Borup, Henrik Saabye, and Amy Edmondson. "Becoming a Learning Organization While Enhancing Performance: The Case of LEGO." International Journal of Operations & Production Management 42, no. 13 (2022): 438–481.
- 2022
- Working Paper
Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions
We empirically analyze how managerial overrides to a commercial algorithm that forecasts demand and schedules labor affect store performance. We analyze administrative data from a large grocery retailer that utilizes a commercial algorithm to forecast demand and...
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Keywords:
Employees;
Human Capital;
Performance;
Applications and Software;
Management Skills;
Management Practices and Processes;
Retail Industry
Kwon, Caleb, Ananth Raman, and Jorge Tamayo. "Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions." Working Paper, December 2022.
- Article
Innovations in Retail Operations: Thirty Years of Lessons from Production and Operations Management
By: Marshall Fisher and Ananth Raman
We review papers published in Production and Operations Management (POM) during its thirty-year history that deal with retail operations issues with an empirical approach. The papers span a range of issues, from traditional ones like forecasting and inventory...
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Keywords:
RFID;
Innovation and Invention;
Technology Adoption;
Operations;
E-commerce;
Strategy;
Retail Industry
Fisher, Marshall, and Ananth Raman. "Innovations in Retail Operations: Thirty Years of Lessons from Production and Operations Management." Special Issue on The 30th Anniversary Issue of Production and Operations Management edited by Subodha Kumar and Christopher S. Tang. Production and Operations Management 31, no. 12 (December 1, 2022): 4452–4461.
- 2022
- Working Paper
The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives
By: Ariel Dora Stern
For those who follow health and technology news, it is difficult to go more than a few days without reading about a compelling new application of Artificial Intelligence (AI) to health care. AI has myriad applications in medicine and its adjacent industries, with...
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Keywords:
AI and Machine Learning;
Health Care and Treatment;
Governing Rules, Regulations, and Reforms;
Technological Innovation;
Medical Devices and Supplies Industry
Stern, Ariel Dora. "The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives." NBER Working Paper Series, No. 30639, December 2022.
- 2022
- Article
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations
By: Tessa Han, Suraj Srinivas and Himabindu Lakkaraju
A critical problem in the field of post hoc explainability is the lack of a common foundational goal among methods. For example, some methods are motivated by function approximation, some by game theoretic notions, and some by obtaining clean visualizations. This...
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Han, Tessa, Suraj Srinivas, and Himabindu Lakkaraju. "Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022). (Best Paper Award, International Conference on Machine Learning (ICML) Workshop on Interpretable ML in Healthcare.)