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- All HBS Web
(4,047)
- Faculty Publications (1,263)
- 2018
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 7 The Value Structure of Technologies, Part 2: Technical and Strategic Bottlenecks as Guides for Action
The purpose of this chapter is to present analytic tools based on functional maps that can be used to identify investment opportunities and to formulate strategy in large, evolving technical systems. I argue that the points of value creation and value capture in a... View Details
Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 7 The Value Structure of Technologies, Part 2: Technical and Strategic Bottlenecks as Guides for Action." Harvard Business School Working Paper, No. 19-042, October 2018.
- 2018
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 5 Complementarity
The purpose of this chapter is to relate the theory of task networks and technology set forth in previous chapters to theories of firm boundaries from economics and management. Complementary goods have more value when used together than separately. Complementarity may... View Details
Keywords: Complementarity
Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 5 Complementarity." Harvard Business School Working Paper, No. 19-036, October 2018.
- October 2018
- Case
Shield AI
By: Mitchell Weiss and A.J. Steinlage
Shield AI’s quadcopter – with no pilot and no flight plan – could clear a building and outpace human warfighters by almost five minutes. This was not to say that it was better than the warfighters or would replace their jobs, but it was evidence that autonomous robots... View Details
Keywords: Public Entrepreneurship; Artificial Intelligence; AI; Entrepreneurial Sales; Government; Defense; Shield AI; Brandon Tseng; Ryan Tseng; Andrew Reiter; Robots; Robotics; UAV; UAVs; Government Sales; Entrepreneurship; Public Sector; Sales; Government Administration; National Security; Business and Government Relations; AI and Machine Learning; Technology Industry; United States
Weiss, Mitchell, and A.J. Steinlage. "Shield AI." Harvard Business School Case 819-062, October 2018.
- October 2018
- Article
A Theory of Intergenerational Mobility
By: Gary Becker, Scott Duke Kominers, Kevin Murphy and Jorg L. Spenkuch
We develop a model of intergenerational resource transmission that emphasizes the link between cross-sectional inequality and intergenerational mobility. By drawing on first principles of human capital theory, we derive several novel results. In particular, we show... View Details
Keywords: Intergenerational Mobility; Inequality; Complementarities; Equality and Inequality; Human Capital; Income; Family and Family Relationships
Becker, Gary, Scott Duke Kominers, Kevin Murphy, and Jorg L. Spenkuch. "A Theory of Intergenerational Mobility." Journal of Political Economy 126, no. S1 (October 2018): S7–S25.
- October 2018
- Article
The Operational Value of Social Media Information
By: Ruomeng Cui, Santiago Gallino, Antonio Moreno and Dennis J. Zhang
While the value of using social media information has been established in multiple business contexts, the field of operations and supply chain management have not yet explored the possibilities it offers in improving firms' operational decisions. This study attempts to... View Details
Cui, Ruomeng, Santiago Gallino, Antonio Moreno, and Dennis J. Zhang. "The Operational Value of Social Media Information." Special Issue on Big Data in Supply Chain Management. Production and Operations Management 27, no. 10 (October 2018): 1749–1774.
- Article
Applying Random Coefficient Models to Strategy Research: Identifying and Exploring Firm Heterogeneous Effects
By: Juan Alcácer, Wilbur Chung, Ashton Hawk and Gonçalo Pacheco-de-Almeida
Strategy aims at understanding the differential effects of firms’ actions on performance. However, standard regression models estimate only the average effects of these actions across firms. Our paper discusses how random coefficient models (RCMs) may generate new... View Details
Alcácer, Juan, Wilbur Chung, Ashton Hawk, and Gonçalo Pacheco-de-Almeida. "Applying Random Coefficient Models to Strategy Research: Identifying and Exploring Firm Heterogeneous Effects." Strategy Science 3, no. 3 (September 2018): 481–553.
- September 26, 2018
- Article
Ownership and Power Structure: Together at Last
By: Laura Alfaro, Nicholas Bloom, Paola Conconi, Harald Fadinger, Patrick Legros, Andrew Newman, Raffaella Sadun and John Van Reenen
Economists have largely ignored the deep interdependency between integration and delegation. This column describes a new theory of integration and delegation choices aimed at shedding light on how these distinct elements of organizational design interact. Contrary to... View Details
Alfaro, Laura, Nicholas Bloom, Paola Conconi, Harald Fadinger, Patrick Legros, Andrew Newman, Raffaella Sadun, and John Van Reenen. "Ownership and Power Structure: Together at Last." Vox, CEPR Policy Portal (September 26, 2018).
- September 2018 (Revised December 2019)
- Case
Zebra Medical Vision
By: Shane Greenstein and Sarah Gulick
An Israeli startup founded in 2014, Zebra Medical Vision developed algorithms that produced diagnoses from X-rays, mammograms, and CT-scans. The algorithms used deep learning and digitized radiology scans to create software that could assist doctors in making... View Details
Keywords: Radiology; Machine Learning; X-ray; CT Scan; Medical Technology; Probability; FDA 510(k); Diagnosis; Business Startups; Health Care and Treatment; Information Technology; Applications and Software; Competitive Strategy; Product Development; Commercialization; Decision Choices and Conditions; Health Industry; Medical Devices and Supplies Industry; Technology Industry; Israel
Greenstein, Shane, and Sarah Gulick. "Zebra Medical Vision." Harvard Business School Case 619-014, September 2018. (Revised December 2019.)
- 2020
- Working Paper
Machine Learning for Pattern Discovery in Management Research
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a... View Details
Keywords: Machine Learning; Theory Building; Induction; Decision Trees; Random Forests; K-nearest Neighbors; Neural Network; P-hacking; Analytics and Data Science; Analysis
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Harvard Business School Working Paper, No. 19-032, September 2018. (Revised June 2020.)
- 2018
- Book
A Crisis of Beliefs: Investor Psychology and Financial Fragility
By: Nicola Gennaioli and Andrei Shleifer
The collapse of Lehman Brothers in September 2008 caught markets and regulators by surprise. Although the government rushed to rescue other financial institutions from a similar fate after Lehman, it could not prevent the deepest recession in postwar history. A... View Details
Keywords: Financial Fragility; Economic Risk; Investor Behavior; Behavioral Economics; Financial Crisis; Risk and Uncertainty; Financial Markets; Investment; Values and Beliefs; United States
Gennaioli, Nicola, and Andrei Shleifer. A Crisis of Beliefs: Investor Psychology and Financial Fragility. Princeton University Press, 2018.
- August 2018 (Revised October 2019)
- Case
C3.ai—Driven to Succeed
By: Robert Simons and George Gonzalez
CEO Tom Siebel navigates his artificial intelligence (ai) startup through a series of pivots, market expansions, and even an elephant attack to become a leading platform ad service provider. The case describes his unusual management approach emphasizing employee... View Details
Keywords: Strategy Execution; Performance Measurement; Critical Performance Variables; Strategic Boundaries; Internet Of Things; Artificial Intelligence; Software Development; Big Data; Machine Learning; Business Startups; Management Style; Business Strategy; Performance; Measurement and Metrics; Organizational Culture; AI and Machine Learning; Digital Transformation; Applications and Software; Digital Marketing; Analytics and Data Science; Technology Industry; United States; California
Simons, Robert, and George Gonzalez. "C3.ai—Driven to Succeed." Harvard Business School Case 119-004, August 2018. (Revised October 2019.)
- August 2018 (Revised October 2020)
- Case
Tailor Brands: Artificial Intelligence-Driven Branding
By: Jill Avery
Using proprietary artificial intelligence technology, startup Tailor Brands set out to democratize branding by allowing small businesses to create their brand identities by automatically generating logos in just minutes at minimal cost with no branding or design skills... View Details
Keywords: Startup; Services; Artificial Intelligence; Machine Learning; Digital Marketing; Brand Management; Big Data; Internet Marketing; Analytics; Marketing; Marketing Strategy; Brands and Branding; Information Technology; Entrepreneurship; Venture Capital; Business Model; Consumer Behavior; AI and Machine Learning; Analytics and Data Science; Advertising Industry; Service Industry; Technology Industry; United States; North America; Israel
Avery, Jill. "Tailor Brands: Artificial Intelligence-Driven Branding." Harvard Business School Case 519-017, August 2018. (Revised October 2020.)
- August 2018
- Article
Creative Sparks or Paralysis Traps? The Effects of Contradictions on Creative Processing and Creative Products
By: Goran Calic and Sébastien Hélie
Paradoxes are an unavoidable part of work life. The unusualness of attempting to simultaneously satisfy contradictory imperatives can result in creative outcomes that simultaneously satisfy both imperatives by inducing search for, and selection of, novel and useful... View Details
Calic, Goran, and Sébastien Hélie. "Creative Sparks or Paralysis Traps? The Effects of Contradictions on Creative Processing and Creative Products." Art. 1489. Frontiers in Psychology 9 (August 2018).
- Article
Raiffa Transformed the Field of Negotiation—and Me
By: Max Bazerman
Howard Raiffa was a role model, friend, and inspiration. He transformed the field of negotiation, and he transformed my career. This brief article provides a recollection of how Howard revolutionized the field of negotiation and how those insights are now affecting... View Details
Bazerman, Max. "Raiffa Transformed the Field of Negotiation—and Me." Negotiation and Conflict Management Research 11, no. 3 (August 2018): 259–261.
- 2018
- Chapter
Work and Workplace
By: Kai Ruggeri, Jana Berkessel, Jascha Achterberg, Gerhard M. Prinz, Alessandra Luna-Navarro, Jon M. Jachimowicz and A. V. Whillans
Work is a major part of many lives. While individual experiences with work will differ—from how long we work to what jobs we have and to what extent we enjoy them—almost everyone is affected by employment, whether they have a job or not. Decades of research in the... View Details
Keywords: Workplace; Behavioral Insights; Retirement Savings; Working Conditions; Employees; Performance; Happiness; Health; Job Search; Change
Ruggeri, Kai, Jana Berkessel, Jascha Achterberg, Gerhard M. Prinz, Alessandra Luna-Navarro, Jon M. Jachimowicz, and A. V. Whillans. "Work and Workplace." Chap. 9 in Behavioral Insights for Public Policy: Concepts and Cases, edited by Kai Ruggeri, 156–173. New York: Routledge, 2018.
- July 2018 (Revised January 2019)
- Teaching Note
MC Tool
By: Richard S. Ruback, Royce Yudkoff and Ahron Rosenfeld
Sean Witty and Jason Premo acquired MC Tool, a machine shop located in South Carolina in 2007 with the intent to transform it into a precision manufacturer. Witty and Premo were able to more than double revenue to $6 million in their first year of managing MC by... View Details
- 2019
- Working Paper
The Creative Consulting Company
By: Robert S. Kaplan, Richard Nolan and David P. Norton
During the past 50 years, several consulting companies introduced important new ideas that extended management theory and improved management practice. This paper draws upon public sources and the authors’ personal experiences to describe how three management... View Details
Keywords: Management; Theory; Practice; Performance Improvement; Innovation and Management; Consulting Industry
Kaplan, Robert S., Richard Nolan, and David P. Norton. "The Creative Consulting Company." Harvard Business School Working Paper, No. 19-001, July 2018.
- July 2018
- Article
Revisiting the Classical View of Benefit-Based Taxation
This article incorporates into modern optimal tax theory the classical logic of benefit‐based taxation in which an individual's benefit from the activities of the state is tied to his or her income‐earning ability. First‐best optimal policy is characterized... View Details
Weinzierl, Matthew. "Revisiting the Classical View of Benefit-Based Taxation." Economic Journal 128, no. 612 (July 2018): F37–F64. (Also Harvard Business School Working Paper, No. 14-101, April 2014.)
- 2018
- Working Paper
Some Facts of High-Tech Patenting
By: Michael Webb, Nick Short, Nicholas Bloom and Josh Lerner
Patenting in software, cloud computing, and artificial intelligence has grown rapidly in recent years. Such patents are acquired primarily by large U.S. technology firms such as IBM, Microsoft, Google, and HP, as well as by Japanese multinationals such as Sony, Canon,... View Details
Webb, Michael, Nick Short, Nicholas Bloom, and Josh Lerner. "Some Facts of High-Tech Patenting." Harvard Business School Working Paper, No. 19-014, August 2018. (NBER Working Paper Series, No. 24793, July 2018.)
- Article
The Effects of Media Slant on Firm Behavior
By: Vishal P. Baloria and Jonas Heese
The media can impose reputational costs on firms because of its important role as an information intermediary and its ability to negatively slant coverage. We exploit a quasi-natural experiment that holds constant the information event across firms, but varies the... View Details
Keywords: Media Slant; Reputational Capital; Strategic Corporate Decisions; Media; News; Communication Strategy; Reputation
Baloria, Vishal P., and Jonas Heese. "The Effects of Media Slant on Firm Behavior." Journal of Financial Economics 129, no. 1 (July 2018): 184–202.