2017
DOI: 10.1108/tpm-10-2015-0044
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Inquisitiveness: distributing rational thinking

Abstract: Purpose-This study aims at redefining bounded rationality on the basis of a more socialized view of the individual. In doing so, it introduces inquisitiveness as a key disposition that some team members use to assemble and integrate knowledge when solving problems. Design/methodology/approach-Using an agent-based computational simulation, this research models different simulated employees working together in ad hoc teams to solve problems. Findings-Results show that inquisitiveness may work as an efficiency dr… Show more

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Cited by 15 publications
(21 citation statements)
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References 29 publications
(50 reference statements)
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“…The following two papers (Herath et al, 2017;Bardone and Secchi, 2017) model BR as a social process, where limits of rationality move in relation to social interactions. This more socialized version should be explored further to gain a better understanding of how the social environment affects individual decision-making.…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…The following two papers (Herath et al, 2017;Bardone and Secchi, 2017) model BR as a social process, where limits of rationality move in relation to social interactions. This more socialized version should be explored further to gain a better understanding of how the social environment affects individual decision-making.…”
Section: Discussionmentioning
confidence: 99%
“…Typical agents for organization research are, for example, employees, managers and/or executives of an organization (e.g. in this issue: Bardone and Secchi, 2017;Lorscheid and Meyer, 2017;Richards, 2017); intelligence units such as teams or departments (e.g. in this issue: Herath et al, 2017;Sreekanth and Roy, 2017); up to entire firms competing in a market (e.g.…”
Section: What Is Agent-based Modeling?mentioning
confidence: 99%
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“…3 This happens, actually, around the start, and precisely when step/tick= 10. 4 Proximity is kept constant in this simulation but it can be made to vary, as usually happens in ABM (e.g., Secchi and Gullekson, 2016;Bardone and Secchi, 2017). 5 These are α = 0.01, 1 − β = 0.95.…”
Section: Notesmentioning
confidence: 99%