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Show Results For
- All HBS Web
(7,213)
- People (19)
- News (1,273)
- Research (4,929)
- Events (79)
- Multimedia (45)
- Faculty Publications (3,618)
- January 2022
- Background Note
Residual Income Valuation Model
By: Charles C.Y. Wang and Albert Shin
This note explains the residual income valuation model (RIM), how it relates to "traditional" valuation models, the intuition behind its use, and empirical research related to its value relevance. RIM is theoretically equivalent to the dividend discount model and the... View Details
Keywords: Residual Income Valuation; Valuation; Research; Theory; Measurement and Metrics; Performance; Financial Management; Business Strategy
Wang, Charles C.Y., and Albert Shin. "Residual Income Valuation Model." Harvard Business School Background Note 122-070, January 2022.
- 15 Mar 2019
- News
A Model of Drive and Impact
Pablo Fernandez Alvarez (GMP 17, 2014) is cofounder of Clicars, an e-commerce platform in Spain that allows users to buy and finance refurbished cars hassle-free. In this interview, Fernandez explains the business model, the reasons... View Details
- 2010
- Chapter
Improving Models of Euro Area Money Demand
By: Bjoern Fischer and Huw Pill
Fischer, Bjoern, and Huw Pill. "Improving Models of Euro Area Money Demand." Chap. 3 in Enhancing Monetary Analysis, edited by Lucas Papademos and Jürgen Stark, 131–206. European Central Bank, 2010.
- 2015
- Chapter
A Corporate View of Business Model Innovations
By: Ramon Casadesus-Masanell, Joan E. Ricart and Jorge Tarzijan
Casadesus-Masanell, Ramon, Joan E. Ricart, and Jorge Tarzijan. "A Corporate View of Business Model Innovations." Chap. 4 in Business Model Innovation: The Organizational Dimension, edited by Nicolai J. Foss and Tina Saebi, 64–84. Oxford University Press, 2015.
- Article
Toward a Model of Business Unit Performance
Hamermesh, Richard G. "Toward a Model of Business Unit Performance." Academy of Management Review 6, no. 2 (April 1981).
- January 2008 (Revised August 2009)
- Module Note
Competing through Business Models (A)
By: Ramon Casadesus-Masanell and Joan E. Ricart
This note defines the concepts of business model and the value loop. It also introduces business model representations and proposes four tests for evaluating business models in isolation. This is the first note in a series of three written for the HBS elective course... View Details
Casadesus-Masanell, Ramon, and Joan E. Ricart. "Competing through Business Models (A)." Harvard Business School Module Note 708-452, January 2008. (Revised August 2009.)
- 1980
- Working Paper
Components of Manufacturing Inventories: A Structural Model of the Production Process
By: Alan J. Auerbach and Jerry R. Green
This paper presents a structural model of production and inventory accumulation based on the hypothesis of cost minimization. It differs from previous attempts in several respects. First, it integrates the analysis of input inventories with output inventories, treating... View Details
Auerbach, Alan J., and Jerry R. Green. "Components of Manufacturing Inventories: A Structural Model of the Production Process." NBER Working Paper Series, No. 491, June 1980.
- February 2016
- Supplement
Models of Endowment Management: King's College, Cambridge
By: David Chambers, Elroy Dimson, Luis M. Viceira and Elena Corsi
- 2009
- Other Book
A Test of a Company's Business Model
By: Kenneth A. Merchant and Tatiana Sandino
Merchant, Kenneth A., and Tatiana Sandino. A Test of a Company's Business Model. Chartered Institute of Management Accountants, 2009.
- March 2012 (Revised April 2012)
- Case
The Korean Model of Shared Growth, 1960-1990
By: Aldo Musacchio, Rafael Di Tella and Jonathan Schlefer
Musacchio, Aldo, Rafael Di Tella, and Jonathan Schlefer. "The Korean Model of Shared Growth, 1960-1990." Harvard Business School Case 712-052, March 2012. (Revised April 2012.)
- 2010
- Working Paper
A New Model of Leadership (PDF File of Keynote Slides)
By: Michael C. Jensen and Allan L. Scherr
In this paper we provide a new definition of leadership that gives organizations and individuals access to new power, performance and accomplishment. In our model leadership consists of four critical elements The creation of a vision for the future that represents a... View Details
- Research Summary
Adoption of Machine Learning Models in Real World Decision Making
The goal of this research is to assess the impact of deploying machine learning models in real world decision making in domains such as health care. View Details
- June 2020
- Article
Parallel Play: Startups, Nascent Markets, and the Effective Design of a Business Model
By: Rory McDonald and Kathleen Eisenhardt
Prior research advances several explanations for entrepreneurial success in nascent markets but leaves a key imperative unexplored: the business model. By studying five ventures in the same nascent market, we develop a novel theoretical framework for understanding how... View Details
Keywords: Search; Legitimacy; Organizational Innovation; Organizational Learning; Mechanisms And Processes; Institutional Entrepreneurship; Qualitative Methods; Business Model Design; Business Model; Business Startups; Entrepreneurship; Emerging Markets; Adaptation; Competition; Strategy
McDonald, Rory, and Kathleen Eisenhardt. "Parallel Play: Startups, Nascent Markets, and the Effective Design of a Business Model." Administrative Science Quarterly 65, no. 2 (June 2020): 483–523.
- April 2006
- Background Note
Designing Sustainable Service Models
By: Frances X. Frei
Taught as the second module in a Harvard Business School course on Managing Service Operations. Addresses the challenge of designing service models that effectively incorporate a customer operating role, as well as how to align operations to deliver value to both the... View Details
Keywords: Business Model; Customers; Design; Managerial Roles; Consumer Behavior; Service Operations; Power and Influence; Value
Frei, Frances X. "Designing Sustainable Service Models." Harvard Business School Background Note 606-031, April 2006.
- 2023
- Article
Provable Detection of Propagating Sampling Bias in Prediction Models
By: Pavan Ravishankar, Qingyu Mo, Edward McFowland III and Daniel B. Neill
With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipeline but also to understand the downstream impacts of bias across stages. Here we consider... View Details
Ravishankar, Pavan, Qingyu Mo, Edward McFowland III, and Daniel B. Neill. "Provable Detection of Propagating Sampling Bias in Prediction Models." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 9562–9569. (Presented at the 37th AAAI Conference on Artificial Intelligence (2/7/23-2/14/23) in Washington, DC.)
- 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.
- 13 May 2013
- News
Model Teamwork
For nearly 10 years, Class of 1976 fundraising has been led by the team of Ken Bartels, Terry Kungel, and Cathy Paglia. The trio has organized a series of well-attended events,... View Details
- August 2020 (Revised September 2020)
- Technical Note
Assessing Prediction Accuracy of Machine Learning Models
The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools... View Details
Keywords: Machine Learning; Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Forecasting and Prediction; Analytics and Data Science; Analysis; Mathematical Methods
Toffel, Michael W., Natalie Epstein, Kris Ferreira, and Yael Grushka-Cockayne. "Assessing Prediction Accuracy of Machine Learning Models." Harvard Business School Technical Note 621-045, August 2020. (Revised September 2020.)
- November 8, 2018
- Article
Transitioning Payment Models: Fee-for-Service to Value-Based Care
By: Thomas W. Feeley and Namita Seth Mohta
In a survey of the NEJM Catalyst Insights Council in July 2018, 42% of respondents say they think value-based reimbursement models will be the primary revenue model for U.S. health care. Indeed, this transition is already happening. Respondents report that a quarter of... View Details
Keywords: Payment Methods; Value-based Healthcare Reimbursements; Health Care and Treatment; Value; Transformation
Feeley, Thomas W., and Namita Seth Mohta. "Transitioning Payment Models: Fee-for-Service to Value-Based Care." NEJM Catalyst (November 8, 2018).