A description and mathematization of an adaptation-based culture mechanism

Leslie A. Laam (), George Godlewski () and Wayne Psek ()
Additional contact information
Leslie A. Laam: Sanford Research
George Godlewski: The George Washington University
Wayne Psek: The George Washington University

Computational and Mathematical Organization Theory, 2023, vol. 29, issue 2, No 4, 363-390

Abstract: Abstract Organizational culture is recognized as a critical and influential aspect of organizational performance. Yet, the underlying mechanism of culture and methodological approaches that effectively link theoretical concepts to empirical models are vague. Consequently, organizational culture has largely been reduced to a linear, static variable in organizational research and management applications. Mathematical approaches can effectively bridge common theoretical culture elements to dynamic empirical interpretation. This paper makes explicit a theoretically-grounded mechanism of the relationship between culture and outcomes. Probability theory and set theory are used to define key elements of the culture mechanism, and an approach for derivation of testable hypotheses is presented. Providing theoretically-driven analyses may take research a step further to provide intervention insights to researchers and practitioners.

Keywords: Organizational culture; Culture mechanism; Group culture (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10588-023-09374-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:comaot:v:29:y:2023:i:2:d:10.1007_s10588-023-09374-7

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10588

DOI: 10.1007/s10588-023-09374-7

Access Statistics for this article

Computational and Mathematical Organization Theory is currently edited by Terrill Frantz and Kathleen Carley

More articles in Computational and Mathematical Organization Theory from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().