Filter Results:
(1,262)
Show Results For
- All HBS Web
(4,046)
- Faculty Publications (1,262)
Show Results For
- All HBS Web
(4,046)
- Faculty Publications (1,262)
- April 2020
- Article
CEO Behavior and Firm Performance
By: Oriana Bandiera, Stephen Hansen, Andrea Prat and Raffaella Sadun
We measure the behavior of 1,114 CEOs in six countries parsing granular CEO diary data through an unsupervised machine learning algorithm. The algorithm uncovers two distinct behavioral types: "leaders" and "managers." Leaders focus on multi-function, high-level... View Details
Bandiera, Oriana, Stephen Hansen, Andrea Prat, and Raffaella Sadun. "CEO Behavior and Firm Performance." Journal of Political Economy 128, no. 4 (April 2020): 1325–1369.
- April 2020
- Article
Long-term Firm Growth: An Empirical Analysis of U.S. Manufacturers 1959–2015
By: Giovanni Dosi, Marco Grazzi, Daniele Moschella, Gary P. Pisano and Federico Tamagni
Firm growth is an essential feature of market economies, shaping together macroeconomic performance and the evolution of industry structures. As a potential indicator of organizational “fitness” within a competitive environment, firm growth is also a central concern to... View Details
Keywords: Firm Growth; Organizations; Growth and Development; Theory; Analysis; Production; Data and Data Sets
Dosi, Giovanni, Marco Grazzi, Daniele Moschella, Gary P. Pisano, and Federico Tamagni. "Long-term Firm Growth: An Empirical Analysis of U.S. Manufacturers 1959–2015." Industrial and Corporate Change 29, no. 2 (April 2020): 309–332.
- 2020
- Working Paper
On the Representativeness of Voter Turnout
By: Louis Kaplow and Scott Duke Kominers
Prominent theory research on voting uses models in which expected pivotality drives voters' turnout decisions and hence determines voting outcomes. It is recognized, however, that such work is at odds with Downs's paradox: in practice, many individuals turn out for... View Details
Kaplow, Louis, and Scott Duke Kominers. "On the Representativeness of Voter Turnout." Harvard Business School Working Paper, No. 20-097, March 2020.
- Mar 2020
- Conference Presentation
A New Analysis of Differential Privacy's Generalization Guarantees
By: Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Moshe Shenfeld
We give a new proof of the "transfer theorem" underlying adaptive data analysis: that any mechanism for answering adaptively chosen statistical queries that is differentially private and sample-accurate is also accurate out-of-sample. Our new proof is elementary and... View Details
Jung, Christopher, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, and Moshe Shenfeld. "A New Analysis of Differential Privacy's Generalization Guarantees." Paper presented at the 11th Innovations in Theoretical Computer Science Conference, Seattle, March 2020.
- March–April 2020
- Article
An Institutional Approach to Gender Diversity and Firm Performance
By: Letian Zhang
This study examines data from 35 countries and 24 industries to understand the relationship between gender diversity and firm performance. Previous studies report conflicting evidence: some find that gender-diverse firms experience more positive performance and others... View Details
Keywords: Institutional Theory; Cross-cultural; Diversity; Gender; Organizations; Performance; Situation or Environment; Cross-Cultural and Cross-Border Issues
Zhang, Letian. "An Institutional Approach to Gender Diversity and Firm Performance." Organization Science 31, no. 2 (March–April 2020): 439–457.
- March 2020
- Article
Context, Time, and Change: Historical Approaches to Entrepreneurship Research
By: R. Daniel Wadhwani, David A. Kirsch, Frederike Welter, William B. Gartner and Geoffrey Jones
The article discusses the value of historical methods and reasoning in strategic entrepreneurship research and theory. A framework is introduced for integrating history into entrepreneurship theory. The framework demonstrates how historical assumptions play a formative... View Details
Wadhwani, R. Daniel, David A. Kirsch, Frederike Welter, William B. Gartner, and Geoffrey Jones. "Context, Time, and Change: Historical Approaches to Entrepreneurship Research." Strategic Entrepreneurship Journal 14, no. 1 (March 2020): 3–19.
- March 2020
- Article
Explaining the Persistence of Gender Inequality: The Work-family Narrative as a Social Defense Against 24/7 Work Culture
By: Irene Padavic, Robin J. Ely and Erin M. Reid
It is widely accepted that the conflict between women’s family obligations and professional jobs’ long hours lies at the heart of their stalled advancement. Yet research suggests that this “work-family narrative” is incomplete: men also experience it and nevertheless... View Details
Keywords: 24/7 Work Culture; Hegemonic Narrative; Social Defense; Work-family Conflict; Systems-psychodynamic Theory; Work-Life Balance; Personal Development and Career; Gender; Equality and Inequality; Organizational Culture
Padavic, Irene, Robin J. Ely, and Erin M. Reid. "Explaining the Persistence of Gender Inequality: The Work-family Narrative as a Social Defense Against 24/7 Work Culture." Administrative Science Quarterly 65, no. 1 (March 2020): 61–111. (Winner, Rosabeth Moss Kanter Award for Excellence in Work-Family Research, 2021. Runner-up, Financial Times Responsible Business Education Award, Academic Research with Impact, 2021.)
- 2020
- Working Paper
A General Theory of Identification
By: Iavor Bojinov and Guillaume Basse
What does it mean to say that a quantity is identifiable from the data? Statisticians seem to agree
on a definition in the context of parametric statistical models — roughly, a parameter θ in a model
P = {Pθ : θ ∈ Θ} is identifiable if the mapping θ 7→ Pθ is injective.... View Details
Bojinov, Iavor, and Guillaume Basse. "A General Theory of Identification." Harvard Business School Working Paper, No. 20-086, February 2020.
- 2020
- Working Paper
Design in the Age of Artificial Intelligence
By: Roberto Verganti, Luca Vendraminelli and Marco Iansiti
Artificial Intelligence (AI) is affecting the scenario in which innovation takes place. What are the implications for our understanding of design? Is AI just another digital technology that, akin to many others, will not significantly question what we know about... View Details
Keywords: Artificial Intelligence; Design Thinking; Technological Innovation; Design; Change; Theory; AI and Machine Learning
Verganti, Roberto, Luca Vendraminelli, and Marco Iansiti. "Design in the Age of Artificial Intelligence." Harvard Business School Working Paper, No. 20-091, February 2020.
- February 2020
- Technical Note
Talent Management and the Future of Work
By: William R. Kerr and Gorick Ng
The nature of work is changing—and it is changing rapidly. Few days go by without industry giants such as Amazon and AT&T announcing plans to invest billions of dollars towards retraining nearly half of their respective workforces for jobs of the future. What changes... View Details
Keywords: Human Resource Management; Human Capital Development; Human Resource Practices; Talent; Talent Acquisition; Talent Development; Talent Development And Retention; Talent Management; Talent Retention; Labor Flows; Labor Management; Labor Market; Strategy Development; Strategy Management; Strategy Execution; Strategy And Execution; Strategic Change; Transformations; Organization; Organization Alignment; Organization Design; Organizational Adaptation; Organizational Effectiveness; Management Challenges; Management Of Business And Political Risk; Change Leadership; Future Of Work; Future; Skills Gap; Skills Development; Skills; Offshoring And Outsourcing; Investment; Capital Allocation; Work; Work Culture; Work Force Management; Work/life Balance; Work/family Balance; Work-family Boundary Management; Workers; Worker Productivity; Worker Performance; Work Engagement; Work Environment; Work Environments; Productivity; Organization Culture; Soft Skills; Technology Management; Technological Change; Technological Change: Choices And Consequences; Technology Diffusion; Disruptive Technology; Global Business; Global; Workplace; Workplace Context; Workplace Culture; Workplace Wellness; Collaboration; Competencies; Productivity Gains; Digital; Digital Transition; Competitive Dynamics; Competitiveness; Competitive Strategy; Data Analytics; Data; Data Management; Data Strategy; Data Protection; Aging Society; Diversity; Diversity Management; Millennials; Communication Complexity; Communication Technologies; International Business; Work Sharing; Global Competitiveness; Global Corporate Cultures; Intellectual Property; Intellectual Property Management; Intellectual Property Protection; Intellectual Capital And Property Issues; Globalization Of Supply Chain; Inequality; Recruiting; Hiring; Hiring Of Employees; Training; Job Cuts And Outsourcing; Job Performance; Job Search; Job Design; Job Satisfaction; Jobs; Employee Engagement; Employee Attitude; Employee Benefits; Employee Compensation; Employee Fairness; Employee Relationship Management; Employee Retention; Employee Selection; Employee Motivation; Employee Feedback; Employee Coordination; Employee Performance Management; Employee Socialization; Process Improvement; Application Performance Management; Stigma; Institutional Change; Candidates; Digital Enterprise; Cultural Adaptation; Cultural Change; Cultural Diversity; Cultural Context; Cultural Strategies; Cultural Psychology; Cultural Reform; Performance; Performance Effectiveness; Performance Management; Performance Evaluation; Performance Appraisal; Performance Feedback; Performance Measurement; Performance Metrics; Performance Measures; Performance Efficiency; Efficiency; Performance Analysis; Performance Appraisals; Performance Improvement; Automation; Artificial Intelligence; Technology Companies; Managerial Processes; Skilled Migration; Assessment; Human Resources; Management; Human Capital; Talent and Talent Management; Retention; Demographics; Labor; Strategy; Change; Change Management; Transformation; Organizational Change and Adaptation; Organizational Culture; Working Conditions; Information Technology; Technology Adoption; Disruption; Economy; Competition; Globalization; AI and Machine Learning; Digital Transformation
Kerr, William R., and Gorick Ng. "Talent Management and the Future of Work." Harvard Business School Technical Note 820-084, February 2020.
- January–February 2020
- Article
Competing in the Age of AI
By: Marco Iansiti and Karim R. Lakhani
Today’s markets are being reshaped by a new kind of firm—one in which artificial intelligence (AI) runs the show. This cohort includes giants like Google, Facebook, and Alibaba, and growing businesses such as Wayfair and Ocado. Every time we use their services, the... View Details
Keywords: Artificial Intelligence; Algorithms; Technological Innovation; Business Model; Competition; Competitive Strategy; AI and Machine Learning
Iansiti, Marco, and Karim R. Lakhani. "Competing in the Age of AI." Harvard Business Review 98, no. 1 (January–February 2020): 60–67.
- 2021
- Working Paper
Impact Investing: A Theory of Financing Social Enterprises
By: Benjamin N. Roth
I present a model of financing social enterprises to delineate the role of impact investors relative to “pure” philanthropists. I characterize the optimal scale and structure of a social enterprise when financed by grants, and when financed by investments. Impact... View Details
Roth, Benjamin N. "Impact Investing: A Theory of Financing Social Enterprises." Harvard Business School Working Paper, No. 20-078, February 2020. (Revised June 2021.)
- Article
Fake AI People Won't Fix Online Dating
Computer-generated images may inspire even more distrust and surely won’t lead to the love of a lifetime. View Details
Keywords: Artificial Intelligence; Dating Services; Internet and the Web; Ethics; AI and Machine Learning
Kominers, Scott Duke. "Fake AI People Won't Fix Online Dating." Bloomberg Opinion (January 16, 2020).
- 2020
- Book
Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World
By: Marco Iansiti and Karim R. Lakhani
In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very... View Details
Keywords: Artificial Intelligence; Technological Innovation; Change; Competition; Strategy; Leadership; Business Processes; Organizational Change and Adaptation; AI and Machine Learning
Iansiti, Marco, and Karim R. Lakhani. Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World. Boston: Harvard Business Review Press, 2020.
- Article
A Theories-in-Use Approach to Building Marketing Theory
By: G. Zaltman, Valarie A. Zeithaml, Bernard Jaworski, Ajay K. Kohli, Kapil R. Tuli and Wolfgang Ulaga
This article’s objective is to inspire and provide guidance on the development of marketing knowledge based on the theories-in-use (TIU) approach. The authors begin with a description of the TIU approach and compare it with other inductive and deductive research... View Details
Keywords: Building Theory; Grounded Theory; Theories-in-use; Theory Construction; Theory Development; Marketing; Knowledge; Theory
Zaltman, G., Valarie A. Zeithaml, Bernard Jaworski, Ajay K. Kohli, Kapil R. Tuli, and Wolfgang Ulaga. "A Theories-in-Use Approach to Building Marketing Theory." Journal of Marketing 84, no. 1 (January 2020): 32–51.
- Article
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving... View Details
Keywords: Autoencoder Networks; Pattern Detection; Subset Scanning; Computer Vision; Statistical Methods And Machine Learning; Machine Learning; Deep Learning; Data Mining; Big Data; Large-scale Systems; Mathematical Methods; Analytics and Data Science
Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error." Proceedings of the International Joint Conference on Artificial Intelligence 29th (2020).
- May 2020
- Article
Scalable Holistic Linear Regression
By: Dimitris Bertsimas and Michael Lingzhi Li
We propose a new scalable algorithm for holistic linear regression building on Bertsimas & King (2016). Specifically, we develop new theory to model significance and multicollinearity as lazy constraints rather than checking the conditions iteratively. The resulting... View Details
Bertsimas, Dimitris, and Michael Lingzhi Li. "Scalable Holistic Linear Regression." Operations Research Letters 48, no. 3 (May 2020): 203–208.
- November 2019
- Supplement
Hapag-Lloyd AG: Complying with IMO 2020
By: Benjamin C. Esty, Mette Fuglsang Hjortshoej and Emer Moloney
A new environmental regulation known as IMO 2020 was creating what one industry analyst called “the biggest shakeup for the oil and shipping industries in decades.” According to the new regulation, all ocean-going ships would have to limit their sulfur emissions by... View Details
- November 2019
- Case
Hapag-Lloyd AG: Complying with IMO 2020
By: Benjamin C. Esty, Mette Fuglsang Hjortshoej and Emer Moloney
A new environmental regulation known as IMO 2020 was creating what one industry analyst called “the biggest shakeup for the oil and shipping industries in decades.” According to the new regulation, all ocean-going ships would have to limit their sulfur emissions by... View Details
Keywords: Valuation; Ship Transportation; Strategic Planning; Game Theory; Pollutants; Supply Chain; Corporate Accountability; Capital Budgeting; Environmental Sustainability; Governing Rules, Regulations, and Reforms; Governance Compliance; Shipping Industry; Transportation Industry; Germany
Esty, Benjamin C., Mette Fuglsang Hjortshoej, and Emer Moloney. "Hapag-Lloyd AG: Complying with IMO 2020." Harvard Business School Case 220-003, November 2019.
- 2020
- Working Paper
Tech Clusters
By: William R. Kerr and Frederic Robert-Nicoud
Tech clusters like Silicon Valley play a central role for modern innovation, business competitiveness, and economic performance. This paper reviews what constitutes a tech cluster, how they function internally, and the degree to which policy makers can purposefully... View Details
Keywords: Clusters; Agglomeration; Innovation; Industry Clusters; Innovation and Invention; Entrepreneurship; Patents
Kerr, William R., and Frederic Robert-Nicoud. "Tech Clusters." Harvard Business School Working Paper, No. 20-063, November 2019. (Revised June 2020.)