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Show Results For
- All HBS Web
(3,941)
- People (2)
- News (542)
- Research (2,796)
- Events (50)
- Multimedia (21)
- Faculty Publications (1,988)
- 13 Jul 2012
- Working Paper Summaries
De Gustibus non est Taxandum: Theory and Evidence on Preference Heterogeneity and Redistribution
Keywords: by Benjamin Lockwood & Matthew Weinzierl
- January 2024 (Revised February 2024)
- Case
Data-Driven Denim: Financial Forecasting at Levi Strauss
By: Mark Egan
The case examines Levi Strauss’ journey in implementing machine learning and AI into its financial forecasting process. The apparel company partnered with the IT company Wipro in 2017 to develop a machine learning algorithm that could help Levi Strauss forecast its... View Details
Keywords: Investor Relations; Forecasting; Machine Learning; Artificial Intelligence; Apparel; Corporate Finance; Forecasting and Prediction; AI and Machine Learning; Digital Transformation; Apparel and Accessories Industry; United States
Egan, Mark. "Data-Driven Denim: Financial Forecasting at Levi Strauss." Harvard Business School Case 224-029, January 2024. (Revised February 2024.)
- November 2012
- Article
The Organization of Firms Across Countries
By: Nicholas Bloom, Raffaella Sadun and John Van Reenen
We argue that social capital as proxied by trust increases aggregate productivity by affecting the organization of firms. To do this we collect new data on the decentralization of investment, hiring, production, and sales decisions from Corporate Headquarters to local... View Details
Keywords: Decentralization; Social Capital; Theory Of The Firm; Firm Objectives, Organization, And Behavior; Business Economics; Management Of Technological Innovation And R＆D; Technological Change: Choices And Consequences; Diffusion Processes; Organizational Structure; Performance Productivity; Trust; Technology Adoption; Multinational Firms and Management
Bloom, Nicholas, Raffaella Sadun, and John Van Reenen. "The Organization of Firms Across Countries." Quarterly Journal of Economics 127, no. 4 (November 2012). (Slides from 2008, Harvard Business School Working Paper, No. 12-005, August 2011.)
- October 2017
- Article
The Size of the LGBT Population and the Magnitude of Anti-Gay Sentiment Are Substantially Underestimated
By: Katherine Baldiga Coffman, Lucas C. Coffman and Keith M. Marzilli Ericson
We demonstrate that widely used measures of anti-gay sentiment and the size of the LGBT population are misestimated, likely substantially. In a series of online experiments using a large and diverse but non-representative sample, we compare estimates from the standard... View Details
Keywords: LGBTQ; Social Trends ＆ Culture; Economic Theory; Prejudice; Prejudice and Bias; Diversity; Economics; Demographics
Coffman, Katherine Baldiga, Lucas C. Coffman, and Keith M. Marzilli Ericson. "The Size of the LGBT Population and the Magnitude of Anti-Gay Sentiment Are Substantially Underestimated." Management Science 63, no. 10 (October 2017): 3168–3186.
- March 2015
- Article
Business Model Evaluation: Quantifying Walmart's Sources of Advantage
By: Humberto Brea-Solís, Ramon Casadesus-Masanell and Emili Grifell-Tatjé
We develop an analytical framework on the basis of the economics of business performance to provide quantitative insight into the link between a firm's business model choices and its profit consequences. The method is applied to Walmart by building a qualitative... View Details
Keywords: Business Models; Quantitative Analysis; Walmart; Production Theory; Business Model; Competitive Advantage; Profit
Brea-Solís, Humberto, Ramon Casadesus-Masanell, and Emili Grifell-Tatjé. "Business Model Evaluation: Quantifying Walmart's Sources of Advantage." Strategic Entrepreneurship Journal 9, no. 1 (March 2015): 12–33.
- 2024
- Working Paper
Sharing Models to Interpret Data
By: Joshua Schwartzstein and Adi Sunderam
To understand new data, we share models or interpretations with others. This paper studies such exchanges of models in a community. The key assumption is that people adopt the interpretation in their community that best explains the data, given their prior beliefs. An... View Details
Keywords: Social Learning Theory; Theory; Social Issues; Cognition and Thinking; Social and Collaborative Networks; Attitudes
Schwartzstein, Joshua, and Adi Sunderam. "Sharing Models to Interpret Data." Harvard Business School Working Paper, No. 25-011, August 2024. (Revised August 2024.)
- 2019
- Working Paper
Self-Interest: The Economist's Straitjacket
By: Robert Simons
This paper examines contemporary economic theories that focus on the design and management of business organizations. In the first part of the paper, a taxonomy is presented that describes the different types of economists interested in this subject—market economists,... View Details
Keywords: Self-interest; Economist; Moral Philosophers; Regulation; Capture; Organization Design; Economy Theory; Organization Theory; Management Theory; Commitment; Controls; Governance; Customers; Conflict of Interests; Business or Company Management; Competition; Organizational Design; Business Education; Agency Theory; Economics; Theory; Boundaries
Simons, Robert. "Self-Interest: The Economist's Straitjacket." Harvard Business School Working Paper, No. 16-045, October 2015. (Revised January 2019.)
- Teaching Interest
Overview
I served as a Teaching Fellow for the Applied Business Analytics second-year MBA course. This course sought to teach MBA students how businesses can improve their strategic decisions using statistics and machine learning techniques. (e.g., regression models, random... View Details
- 2020
- Article
A Practical Approach to Sales Compensation: What Do We Know Now? What Should We Know in the Future?
By: Doug J. Chung, Byungyeon Kim and Niladri B. Syam
Personal selling represents one of the most important elements in the marketing mix, and appropriate management of the sales force is vital to achieving the organization’s objectives. Among the various instruments of sales management, compensation plays a pivotal role... View Details
Keywords: Sales Compensation; Sales Management; Sales Strategy; Principal-agent Theory; Structural Econometrics; Field Experiments; Machine Learning; Artificial Intelligence; Salesforce Management; Compensation and Benefits; Motivation and Incentives; AI and Machine Learning
Chung, Doug J., Byungyeon Kim, and Niladri B. Syam. "A Practical Approach to Sales Compensation: What Do We Know Now? What Should We Know in the Future?" Foundations and Trends® in Marketing 14, no. 1 (2020): 1–52.
- Article
Who, When, and Why: A Machine Learning Approach to Prioritizing Students at Risk of Not Graduating High School on Time
By: Everaldo Aguiar, Himabindu Lakkaraju, Nasir Bhanpuri, David Miller, Ben Yuhas, Kecia Addison and Rayid Ghani
Aguiar, Everaldo, Himabindu Lakkaraju, Nasir Bhanpuri, David Miller, Ben Yuhas, Kecia Addison, and Rayid Ghani. "Who, When, and Why: A Machine Learning Approach to Prioritizing Students at Risk of Not Graduating High School on Time." Proceedings of the International Learning Analytics and Knowledge Conference 5th (2015).
- Article
'Making Book Against Oneself,' the Independence Axiom, and Non-Linear Utility Theory
By: Jerry R. Green
An individual with known preferences over lotteries can be led to accept random wealth distributions different from his initial endowment by a sequential process in which some uncertainty is resolved and he is offered a new lottery in place of the remaining... View Details
Green, Jerry R. "'Making Book Against Oneself,' the Independence Axiom, and Non-Linear Utility Theory." Quarterly Journal of Economics 102, no. 4 (November 1987): 785–796.
- 2021
- Working Paper
First Law of Motion: Influencer Video Advertising on TikTok
By: Jeremy Yang, Juanjuan Zhang and Yuhan Zhang
This paper engineers an intuitive feature that is predictive of the causal effect of influencer video advertising on product sales. We propose the concept of m-score, a summary statistic that captures the extent to which a product is advertised in the most engaging... View Details
Keywords: Influencer Advertising; Video Advertising; Computer Vision; Machine Learning; Advertising; Online Technology
Yang, Jeremy, Juanjuan Zhang, and Yuhan Zhang. "First Law of Motion: Influencer Video Advertising on TikTok." Working Paper, March 2021.
- Article
Why A Behavioral Theory of Labor Negotiations Remains a Triumph at Fifty but the Labels 'Distributive' and 'Integrative' Should Be Retired
Richard Walton and Robert McKersie's closeness to practice, disciplinary rigor, and successful search for powerful generalizations help explain the lasting impact of the Behavioral Theory of Labor Relations. Ironically, the names they chose for the fundamental... View Details
Sebenius, James K. "Why A Behavioral Theory of Labor Negotiations Remains a Triumph at Fifty but the Labels 'Distributive' and 'Integrative' Should Be Retired." Negotiation Journal 31, no. 4 (October 2015): 335–347.
- January 2021
- Article
Institutional-Political Scenarios for Anthropocene Society
By: Andrew J. Hoffman and P. Devereaux Jennings
Natural scientists have proposed that humankind has entered a new geologic epoch. Termed the “Anthropocene,” this new reality revolves around the central role of human activity in multiple Earth ecosystems. That challenge requires a rethinking of social science... View Details
Keywords: Institutional Change; Institutional Theory; Natural Environment; Society; Environmental Sustainability
Hoffman, Andrew J., and P. Devereaux Jennings. "Institutional-Political Scenarios for Anthropocene Society." Business & Society 60, no. 1 (January 2021): 57–94.
- 2022
- Article
The Ordinary Concept of a Meaningful Life: The Role of Subjective and Objective Factors in Third-Person Attributions of Meaning
By: Michael Prinzing, Julian De Freitas and Barbara L. Fredrickson
The desire for a meaningful life is ubiquitous, yet the ordinary concept of a meaningful life is poorly understood. Across six experiments (total N = 2,539), we investigated whether third-person attributions of meaning depend on the psychological states an agent... View Details
Keywords: Experimental Philosophy; Folk Theories; Meaning In Life; Moral Psychology; Positive Psychology; Moral Sensibility; Satisfaction
Prinzing, Michael, Julian De Freitas, and Barbara L. Fredrickson. "The Ordinary Concept of a Meaningful Life: The Role of Subjective and Objective Factors in Third-Person Attributions of Meaning." Journal of Positive Psychology 17, no. 5 (2022): 639–654.
- September 2022
- Article
A Spanner in the Works: Category-Spanning Entrants and Audience Valuation of Incumbents
By: Rory M. McDonald and Ryan T. Allen
Previous work has examined how audiences evaluate category-spanning organizations, but little is known about how their entrance affects evaluations of other, proximate organizations. We posit that the emergence of category-spanning entrants signals the advent of an... View Details
Keywords: Emerging Industries; Industry Dynamics; Organization And Management Theory; Technology Strategy; Technology And Innovation Management; Entrepreneurship; Information Technology; Strategy; Management; Theory; Innovation and Management
McDonald, Rory M., and Ryan T. Allen. "A Spanner in the Works: Category-Spanning Entrants and Audience Valuation of Incumbents." Strategy Science 7, no. 6 (September 2022): 190–209.
- Book Review
Book Review of Identity in Organizations: Building Theory Through Conversations edited by David A. Whetten and Paul C. Godfrey
By: J. Polzer
Polzer, J. "Book Review of Identity in Organizations: Building Theory Through Conversations edited by David A. Whetten and Paul C. Godfrey." Administrative Science Quarterly 45, no. 3 (September 2000): 625–628.
- Article
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
The most prevalent notions of fairness in machine learning are statistical definitions: they fix a small collection of pre-defined groups, and then ask for parity of some statistic of the classifier (like classification rate or false positive rate) across these groups.... View Details
Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
- February 2018 (Revised June 2021)
- Case
New Constructs: Disrupting Fundamental Analysis with Robo-Analysts
By: Charles C.Y. Wang and Kyle Thomas
This case highlights the business challenges associated with a financial technology firm, New Constructs, that created a technology that can quickly parse complicated public firm financials to paint a clearer economic picture of firms, remove accounting distortions,... View Details
Keywords: Fundamental Analysis; Machine Learning; Robo-analysts; Financial Statements; Financial Reporting; Analysis; Information Technology; Accounting Industry; Financial Services Industry; Information Technology Industry; North America; Tennessee
Wang, Charles C.Y., and Kyle Thomas. "New Constructs: Disrupting Fundamental Analysis with Robo-Analysts." Harvard Business School Case 118-068, February 2018. (Revised June 2021.)
- Web
Men [sic] and machines - The Human Factor – Baker Library | Bloomberg Center, Historical Collections
Production The Worker Chapter Introduction Chapter Images The Audience Bibliography previous 1 2 3 4 5 6 7 next Men [sic] and machines ca. 1933 Webster Electric Company Photographer unknown Multiple Coil Winding View Details