Adding Interpersonal Learning and Tacit Knowledge to March's Exploration-Exploitation Model
By Kent D. Miller, Meng Zhao, Roger J. Calantone. 2006
328 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/1438b6d582a1b8a430dc3542f8ecec742ebf13c1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- Nils Stieglitz
- Magda Osman
- M. Pillutla
- Phanish Puranam
- Jehong Lee
- Allan Friedman
- Duncan J. Watts
- Hart E. Posen
In Strategy and Management
- Nils Stieglitz
- Magda Osman
- M. Pillutla
- Jehong Lee
- Allan Friedman
- Duncan J. Watts
- Hart E. Posen
- Phanish Puranam
Citations in the corpus
- Collaborative learning in networks (2011, background): “In particular, we fi nd that networked groups generally outperform equal-sized collections of independent problem solvers (8), that exploration can be costly for individuals but is bene fi cial for the collective (3), and that centrally positioned individuals experience better performance than…”
- Toward a learning-based view of internationalization: The accelerated trajectories of cross-border learning for latecomers (2010, background): “Finally, the new criterion can shed light on how to properly conceptualize and operationalize exploitation and exploration (cf. Gupta et al., 2006; Hoffmann, 2007; Holmqvist, 2003; Lavie and Rosenkopf, 2006; Miller et al., 2006; Rothaermel and Deeds, 2004).”
- Modelling Bounded Rationality in Organizations: Progress and Prospects† (2015, background): “Miller et al. (2006) and Lazer and Friedman (2007) added a social network perspective to the underlying mechanism, with individuals only learning from each other if they are socially connected.”
- The power of imperfect imitation (2013, background): “Recent studies of intra-organizational learning, however, suggest that structures that constrain information flows may have an important impact on such learning (e.g., Fang, Lee, and Schilling, 2010; Miller et al., 2006).”
- The Network Structure of Exploration and Exploitation (2007, background): “Genetic programming also uses crossover, which can greatly improve search (Mitchell, 1996).”