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(3,258)
- News (493)
- Research (2,465)
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- Faculty Publications (1,572)
Show Results For
- All HBS Web
(3,258)
- News (493)
- Research (2,465)
- Events (38)
- Multimedia (17)
- Faculty Publications (1,572)
- 2009
- Other Paper
Trade Policy and Firm Boundaries
By: Laura Alfaro, Paola Conconi, Andrew F. Newman and Harald Fadinger
We examine how trade policy affects firms' organizational choices. We embed a model of firms' vertical integration decisions into a standard perfectly-competitive international trade framework. In the model, integration decisions are driven by a trade-off... View Details
Keywords: Trade; Policy; Ownership; Business and Government Relations; Vertical Integration; Boundaries
Alfaro, Laura, Paola Conconi, Andrew F. Newman, and Harald Fadinger. "Trade Policy and Firm Boundaries."
- 15 Jul 2010
- Working Paper Summaries
Trade Policy and Firm Boundaries
- January–February 2023
- Article
External Interfaces and Internal Processes: Market Positioning and Divergent Professionalization Paths in Young Ventures
By: Alicia DeSantola, Ranjay Gulati and Pavel Zhelyazkov
We explore how the initial market positioning of entrepreneurial ventures shapes how they professionalize over time, focusing specifically on the development of functional roles. In contrast to existing literature, which has presumed a uniform march toward... View Details
Keywords: Market Positioning; Professionalization; Scaling; Entrepreneurship; Strategy; Business Startups; Growth and Development; Organizational Structure
DeSantola, Alicia, Ranjay Gulati, and Pavel Zhelyazkov. "External Interfaces and Internal Processes: Market Positioning and Divergent Professionalization Paths in Young Ventures." Organization Science 34, no. 1 (January–February 2023): 1–23.
- 02 Jul 2009
- Working Paper Summaries
Technology Innovation and Diffusion as Sources of Output and Asset Price Fluctuations
- 2011
- Article
Incentive Compensation and the Likelihood of Termination: Theory and Evidence from Real Estate Organizations
By: Christopher Parsons, G. Hallman and J. Hartzell
We analyze two managerial compensation incentive devices: the threat of termination and pay for performance. We first develop a simple model predicting that these devices are substitutes: when termination incentives are low, optimal contracts provide stronger... View Details
Keywords: Motivation and Incentives; Resignation and Termination; Compensation and Benefits; Real Estate Industry
Parsons, Christopher, G. Hallman, and J. Hartzell. "Incentive Compensation and the Likelihood of Termination: Theory and Evidence from Real Estate Organizations." Real Estate Economics 39, no. 3 (Fall 2011): 507–546.
- Article
Faithful and Customizable Explanations of Black Box Models
By: Himabindu Lakkaraju, Ece Kamar, Rich Caruana and Jure Leskovec
As predictive models increasingly assist human experts (e.g., doctors) in day-to-day decision making, it is crucial for experts to be able to explore and understand how such models behave in different feature subspaces in order to know if and when to trust them. To... View Details
Lakkaraju, Himabindu, Ece Kamar, Rich Caruana, and Jure Leskovec. "Faithful and Customizable Explanations of Black Box Models." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2019).
- 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... View Details
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.
- Article
Complementarity between Audited Financial Reporting and Voluntary Disclosure: The Case of Former Andersen Clients
By: Richard Frankel, Alon Kalay, Gil Sadka and Yuan Zou
Prior literature presents various perspectives on the role of financial reporting. One view is that mandatory periodic reporting disciplines managers and encourages timely voluntary disclosure. We examine this "confirmation hypothesis" using the shock to financial... View Details
Keywords: Financial Disclosure; Mandatory Reporting; Reliability; Voluntary Disclosure; Financial Reporting; Quality; Corporate Disclosure
Frankel, Richard, Alon Kalay, Gil Sadka, and Yuan Zou. "Complementarity between Audited Financial Reporting and Voluntary Disclosure: The Case of Former Andersen Clients." Accounting Review 96, no. 6 (November 2021): 215–238.
- 2023
- Working Paper
The Optimal Stock Valuation Ratio
By: Sebastian Hillenbrand and Odhrain McCarthy
Trailing price ratios, such as the price-dividend and the price-earnings ratio, scale prices by trailing cash flow measures. They theoretically contain expected returns, yet, their performance in predicting stock market returns is poor. This is because of an omitted... View Details
Keywords: Price; Investment Return; AI and Machine Learning; Valuation; Cash Flow; Forecasting and Prediction
Hillenbrand, Sebastian, and Odhrain McCarthy. "The Optimal Stock Valuation Ratio." Working Paper, November 2023.
- April 2024
- Article
Decision Authority and the Returns to Algorithms
By: Hyunjin Kim, Edward L. Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca
We evaluate a pilot in an Inspections Department to explore the returns to a pair of algorithms that varied in their sophistication. We find that both algorithms provided substantial prediction gains, suggesting that even simple data may be helpful. However, these... View Details
Keywords: Algorithmic Aversion; Algorithmic Decision Making; Algorithms; Public Entrepreneurship; Govenment; Local Government; Crowdsourcing; Crowdsourcing Contests; Inspection; Principal-agent Theory; Government Administration; Decision Making; Public Administration Industry; United States
Kim, Hyunjin, Edward L. Glaeser, Andrew Hillis, Scott Duke Kominers, and Michael Luca. "Decision Authority and the Returns to Algorithms." Strategic Management Journal 45, no. 4 (April 2024): 619–648.
Payout Taxes and the Allocation of Investment
When corporate payout is taxed, internal equity (retained earnings) is cheaper than external equity (share issues). If there are no perfect substitutes for equity finance, payout taxes may therefore have an effect on the investment of firms. High taxes... View Details
- 2012
- Working Paper
Prominent Job Advertisements, Group Learning and Wage Dispersion
By: Julio J. Rotemberg
A model is presented in which people base their labor search strategy on the average wage and the average unemployment duration of people who belong to their peer group. It is shown that, if the distribution of wage offers is not stationary so lower wage offers tend to... View Details
Rotemberg, Julio J. "Prominent Job Advertisements, Group Learning and Wage Dispersion." NBER Working Paper Series, No. 18638, December 2012.
- 2009
- Article
Social Structure Shapes Cultural Stereotypes and Emotions: A Causal Test of the Stereotype Content Model
By: P. Caprariello, A.J.C. Cuddy and S.T. Fiske
The stereotype content model (SCM) posits that social structure predicts specific cultural stereotypes and associated emotional prejudices (Fiske et al., 2002). No prior evidence at a societal level has manipulated both structural predictors and measured both... View Details
Keywords: Competency and Skills; Mathematical Methods; Emotions; Personal Characteristics; Prejudice and Bias; Status and Position; Culture; Competition
Caprariello, P., A.J.C. Cuddy, and S.T. Fiske. "Social Structure Shapes Cultural Stereotypes and Emotions: A Causal Test of the Stereotype Content Model." Group Processes & Intergroup Relations 12, no. 2 (2009): 147–155.
- 2023
- Working Paper
Segmented Going-Public Markets and the Demand for SPACs
By: Angela Ma, Miles Zheng and Jessica Bai
We provide a regulatory-arbitrage-based explanation for the origin and proliferation of the Special Purpose Acquisition Company (SPAC). SPAC sponsors act as non-bank intermediaries, and the SPAC market structure appeals to yield-seeking investors and riskier,... View Details
Keywords: Special Purpose Acquisition Companies; Non-bank Intermediaries; Regulatory Arbitrage; Adverse Selection; Initial Public Offering
Ma, Angela, Miles Zheng, and Jessica Bai. "Segmented Going-Public Markets and the Demand for SPACs." Working Paper, 2023.
- 2021
- Working Paper
Time and the Value of Data
By: Ehsan Valavi, Joel Hestness, Newsha Ardalani and Marco Iansiti
Managers often believe that collecting more data will continually improve the accuracy of their machine learning models. However, we argue in this paper that when data lose relevance over time, it may be optimal to collect a limited amount of recent data instead of... View Details
Keywords: Economics Of AI; Machine Learning; Non-stationarity; Perishability; Value Depreciation; Analytics and Data Science; Value
Valavi, Ehsan, Joel Hestness, Newsha Ardalani, and Marco Iansiti. "Time and the Value of Data." Harvard Business School Working Paper, No. 21-016, August 2020. (Revised November 2021.)
- October 2021
- Article
Communicating Resource Scarcity and Interpersonal Connection
By: Grant E. Donnelly, Anne V. Wilson, Ashley V. Whillans and Michael I. Norton
Consumers often cite insufficient time or money as an excuse for rejecting social invitations. We explore the effectiveness of these excuses in preserving interpersonal relationships. Six studies—including perceptions of couples planning their wedding—demonstrate that... View Details
Keywords: Time; Interpersonal Relationships; Communication; Money; Relationships; Interpersonal Communication
Donnelly, Grant E., Anne V. Wilson, Ashley V. Whillans, and Michael I. Norton. "Communicating Resource Scarcity and Interpersonal Connection." Journal of Consumer Psychology 31, no. 4 (October 2021): 726–745.
- January 2018
- Article
Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life
By: Edward L. Glaeser, Scott Duke Kominers, Michael Luca and Nikhil Naik
New, "big" data sources allow measurement of city characteristics and outcome variables at higher frequencies and finer geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big data has the most value for... View Details
Glaeser, Edward L., Scott Duke Kominers, Michael Luca, and Nikhil Naik. "Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life." Economic Inquiry 56, no. 1 (January 2018): 114–137.
- December 2012
- Article
Behavioral Ethics: Toward a Deeper Understanding of Moral Judgment and Dishonesty
By: Max Bazerman and Francesca Gino
Early research and teaching on ethics focused on either a moral development perspective or philosophical approaches, and used a normative approach by focusing on the question of how people should act when resolving ethical dilemmas. In this paper, we briefly describe... View Details
Keywords: Ethical Decision Making; Corruption; Unethical Behavior; Behavioral Decision Research; Behavior; Ethics
Bazerman, Max, and Francesca Gino. "Behavioral Ethics: Toward a Deeper Understanding of Moral Judgment and Dishonesty." Annual Review of Law and Social Science 8 (December 2012): 85–104.
- 20 Dec 2016
- News
The Obama Legacy: A Study In Dignity And Moderation
- January 2021 (Revised March 2021)
- Case
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Jill Avery, Ayelet Israeli and Emma von Maur
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
Avery, Jill, Ayelet Israeli, and Emma von Maur. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Case 521-070, January 2021. (Revised March 2021.)