When Clarity Clouds the View: Introducing a Decision Style Framework for Assessing Task-Related Effectiveness in Analysis and Intuition

Christian Julmi ()
Additional contact information
Christian Julmi: FernUniversität in Hagen

Schmalenbach Journal of Business Research, 2025, vol. 77, issue 2, 267-308

Abstract: Abstract Recent scholarly discussions suggest the potential superiority of intuition over analysis in tasks with high equivocality. However, it remains unclear when and whether intuition is preferable when both uncertainty and equivocality are considered. Addressing this gap, the article introduces a framework linking the effectiveness of individual decision styles with configurations of uncertainty and equivocality, adopting an information processing perspective. Within this framework, intuitiveness and adaptiveness are treated as independent dimensions of decision styles, associating intuitiveness with equivocality and adaptiveness with uncertainty in terms of effectiveness. To demonstrate the value of the framework, the article discusses implications for research.

Keywords: Equivocality; Uncertainty; Intuition; Analysis; Decision style; Management effectiveness (search for similar items in EconPapers)
JEL-codes: D81 D91 M10 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s41471-025-00207-8 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sjobre:v:77:y:2025:i:2:d:10.1007_s41471-025-00207-8

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/41471

DOI: 10.1007/s41471-025-00207-8

Access Statistics for this article

More articles in Schmalenbach Journal of Business Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().