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(8,411)
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- News (2,258)
- Research (5,465)
- Events (9)
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- Faculty Publications (4,028)
Show Results For
- All HBS Web
(8,411)
- People (24)
- News (2,258)
- Research (5,465)
- Events (9)
- Multimedia (252)
- Faculty Publications (4,028)
- Jul 2003 - 2003
- Conference Presentation
The Politics of Technological Change: How Firms Act to Influence the Decisions of Public Authorities Regarding Technological Change
By: Julie Battilana
- October 2013
- Article
How Much to Make and How Much to Buy? An Analysis of Optimal Plural Sourcing Strategies
By: Phanish Puranam, Ranjay Gulati and Sourav Bhattacharya
While many theories of the firm seek to explain when firms make rather than buy, in practice, firms often make and buy the same input—they engage in plural sourcing. We argue that explaining the mix of external procurement and internal sourcing for the same input... View Details
Keywords: Supply Chain; Forecasting and Prediction; Framework; Prejudice and Bias; Mathematical Methods
Puranam, Phanish, Ranjay Gulati, and Sourav Bhattacharya. "How Much to Make and How Much to Buy? An Analysis of Optimal Plural Sourcing Strategies." Strategic Management Journal 34, no. 10 (October 2013): 1145–1161.
- Book Review
Review of Implementing New Technologies: Choice, Decision and Change in Manufacturing, edited by E. Rhodes and D. Wield
Leonard, Dorothy A. "Review of Implementing New Technologies: Choice, Decision and Change in Manufacturing, edited by E. Rhodes and D. Wield." Administrative Science Quarterly 32, no. 3 (September 1987).
- Web
Making Difficult Decisions: The General Manager’s Job (MDD) - Course Catalog
HBS Course Catalog Making Difficult Decisions: The General Manager’s Job (MDD) Course Number 1556 Professor Amy Edmondson Assistant Professor Tiona Zuzul Spring; Q3Q4; 3.0 credits 27 Sessions Exam (Previously: Becoming a General Manager)... View Details
- Article
Optimality Bias in Moral Judgment
By: Julian De Freitas and Samuel G.B. Johnson
We often make decisions with incomplete knowledge of their consequences. Might people nonetheless expect others to make optimal choices, despite this ignorance? Here, we show that people are sensitive to moral optimality: that people hold moral agents accountable... View Details
Keywords: Moral Judgment; Lay Decision Theory; Theory Of Mind; Causal Attribution; Moral Sensibility; Decision Making
De Freitas, Julian, and Samuel G.B. Johnson. "Optimality Bias in Moral Judgment." Journal of Experimental Social Psychology 79 (November 2018): 149–163.
- 25 Feb 2025
- Blog Post
Making a broader impact with multiple disciplines: Santosh Iyer (MBA 2020)
empowers aspiring leaders to address the most complex problems in health care and make a lasting impact on society. If you’re considering this path, it’s a decision that will set you up to lead, innovate,... View Details
- 2011
- Working Paper
From Counting Risk to Making Risk Count: Boundary-Work in Risk Management
By: Anette Mikes
For two decades, risk management has been gaining ground in banking. In light of the recent financial crisis, several commentators concluded that the continuing expansion of risk measurement is dysfunctional (Taleb, 2007; Power, 2009). This paper asks whether the... View Details
Keywords: Forecasting and Prediction; Financial Crisis; Risk Management; Measurement and Metrics; Organizational Culture; Situation or Environment; Banking Industry
Mikes, Anette. "From Counting Risk to Making Risk Count: Boundary-Work in Risk Management." Harvard Business School Working Paper, No. 11-069, January 2011. (Revised March 2011.)
- 2013
- Article
Inflated Applicants: Attribution Errors in Performance Evaluation by Professionals
By: S. A. Swift, D. Moore, Z. Sharek and F. Gino
When explaining others' behaviors, achievements, and failures, it is common for people to attribute too much influence to disposition and too little influence to structural and situational factors. We examine whether this tendency leads even experienced professionals... View Details
Keywords: Evaluations; Correspondence Bias; Selection Decisions; Attribution; Prejudice and Bias; Selection and Staffing; Decision Choices and Conditions; Performance Evaluation; Cognition and Thinking
Swift, S. A., D. Moore, Z. Sharek, and F. Gino. "Inflated Applicants: Attribution Errors in Performance Evaluation by Professionals." e69258. PLoS ONE 8, no. 7 (July 2013).
- 01 Dec 1997
- News
Making Real Progress in the Middle East: The Bottom-Up, Economic Solution
States to the Jordanians. Proof of the venture's strategic benefits are apparent in sales that top $10-million in the first year of operation and are expected to exceed $25-million in the second. Collaborative ventures such as Century Wear View Details
- 26 Sep 2024
- HBS Case
If a Car Can Drive Itself, Can It Make Life-or-Death Decisions?
people, about consequences and risks and benefits for other people, and also in a murkier but important sense, the ethics of an organization’s culture and its values.” Elon Musk and Tesla are at the center of a recent HBS case study that essentially asks: How can... View Details
- 04 Oct 2021
- What Do You Think?
How Do We Make Sure the Right People End Up with Power in Organizations?
putting selection decisions in the hands of the powerful, as the saying goes, invite the fox into the chicken house? How do we make sure the right people end up with power in organizations? What do you... View Details
Keywords: by James Heskett
- September 2020 (Revised June 2023)
- Exercise
Artea: Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; ＂Marketing Analytics＂; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analytics; Data Analysis; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Targeting; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Algorithmic Bias; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)
- March 2005
- Article
Towards a Competitive Arousal Model of Decision Making: A Study of Auction Fever in Live and Internet Auctions
By: Gillian Ku, Deepak Malhotra and J. Keith Murnighan
Ku, Gillian, Deepak Malhotra, and J. Keith Murnighan. "Towards a Competitive Arousal Model of Decision Making: A Study of Auction Fever in Live and Internet Auctions." Organizational Behavior and Human Decision Processes 96, no. 2 (March 2005): 89–103.
- January 2018
- Supplement
Peak Games: Hiring Priorities in Times of Rapid Growth (B)
By: William R. Kerr and Gamze Yucaoglu
On November 7, 2017, Sidar Şahin, founder and CEO of Peak Games, a Turkey-based global mobile gaming company, had just closed the sale of Peak Games’ card games studio. This sale included three of the company’s top grossing games and half of its team. Sahin was happy... View Details
Keywords: Games; Gaming; Acquisitions; Exits; Private Sector; Decision; Games, Gaming, and Gambling; Emerging Markets; Acquisition; Entrepreneurship; For-Profit Firms; Business Model; Business Strategy; Competitive Advantage; Growth and Development Strategy; Decision Making; Value Creation; Leading Change; Management Teams; Technology Industry; Turkey
Kerr, William R., and Gamze Yucaoglu. "Peak Games: Hiring Priorities in Times of Rapid Growth (B)." Harvard Business School Supplement 818-084, January 2018.
- Article
Ensembles of Overfit and Overconfident Forecasts
By: Y. Grushka-Cockayne, V.R.R. Jose and K. C. Lichtendahl
Firms today average forecasts collected from multiple experts and models. Because of cognitive biases, strategic incentives, or the structure of machine-learning algorithms, these forecasts are often overfit to sample data and are overconfident. Little is known about... View Details
Grushka-Cockayne, Y., V.R.R. Jose, and K. C. Lichtendahl. "Ensembles of Overfit and Overconfident Forecasts." Management Science 63, no. 4 (April 2017): 1110–1130.
- December 1994
- Article
The Inconsistent Role of Comparison Others and Procedural Justice to Hypothetical Job Descriptions: Implications for Job Acceptance Decisions
By: M. H. Bazerman, H. A. Schroth, P. P. Shah, K. A. Diekmann and A. E. Tenbrunsel
Bazerman, M. H., H. A. Schroth, P. P. Shah, K. A. Diekmann, and A. E. Tenbrunsel. "The Inconsistent Role of Comparison Others and Procedural Justice to Hypothetical Job Descriptions: Implications for Job Acceptance Decisions." Organizational Behavior and Human Decision Processes 60, no. 3 (December 1994): 326–352.