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  • 2021
  • Article

The Virtues and Limitations of Dynamic Capabilities
By: Bharat Anand and David J. Collis
Dynamic capabilities have been identified as a key determinant of competitive advantage. This paper explores the foundations of dynamic capabilities, and the limits to their effectiveness, first theoretically and then through the case of Danaher, the most successful...  View Details
Keywords: Dynamic Capabilities; Danaher; Resources; Theory Of The Firm; Value-based Strategy; Organizations; Performance Effectiveness; Competitive Advantage; Strategy
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  • 2021
  • Working Paper

Information Avoidance and Image Concerns
By: Christine L. Exley and Judd B. Kessler
A rich literature finds that individuals avoid information, even information that is instrumental to their choices. A common hypothesis posits that individuals strategically avoid information to hold particular beliefs or to take certain actions--such as behaving...  View Details
Keywords: Image Motivation; Self-image; Information; Behavior; Identity; Personal Characteristics
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  • January 2021
  • Case

The FIRE Savings Calculator
By: Michael Parzen and Paul J. Hamilton
This case follows Carol Muñoz, a member of the Financial Independence, Retire Early (FIRE) lifestyle movement. At the age of 45, Carol is considering retiring and living off the $1 million she has accumulated. Using Monte Carlo simulation, Carol forecasts the...  View Details
Keywords: Analysis; Forecasting And Prediction; Financial Strategy; Investment Portfolio; Investment Return; Personal Finance; Saving; Risk And Uncertainty; Diversification; Theory; Financial Services Industry
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  • January 2021
  • Case

Rio Tinto Aluminum: Can Purpose Lead to Profit?
By: David Fubini and Agastya Muthanna
This case describes the tradeoffs Rio Tinto faces as it considers investments to ensure environmentally friendly, sustainability produced aluminum with the potential risks of competitive pricing and profit loses.  View Details
Keywords: Mining Industry
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  • January 2021
  • Article

Using Models to Persuade
By: Joshua Schwartzstein and Adi Sunderam
We present a framework where "model persuaders" influence receivers’ beliefs by proposing models that organize past data to make predictions. Receivers are assumed to find models more compelling when they better explain the data, fixing receivers’ prior beliefs. Model...  View Details
Keywords: Model Persuasion; Data And Data Sets; Forecasting And Prediction; Mathematical Methods; Framework