A Complex Adaptive Systems (CAS) Approach to Measuring Organizational Adaptation in Organizations and Investigating its Relationship with R&D Performance

Authors

DOI:

https://doi.org/10.31341/jios.45.2.12

Keywords:

organizational adaptation, complex adaptive systems perspective, R&D Performance

Abstract

The aim of this paper is to develop a scale for measuring organizational adaptation and investigating its relationship with R&D performance. For this purpose, the items were developed in accordance with the dimensions of organization design, and the scale was tested first in a pilot study, and after making revisions and modifications, it was employed in the main study on two different samples, one for exploratory factor analysis (EFA), and the other for confirmatory factor analysis (CFA). The final scale consists of 17 items categorized under 4 dimensions labeled as contextual factors, tasks and roles, labor and labor division, and rules and regulations. The results indicate that except for rules and regulations, all dimensions of organizational adaptation bear higher values in high R&D performance cluster. The organizations who enforce adaptation in all the other three dimensions yield more innovation which will help them in their decisions regarding their adaptive responses.

Author Biographies

Mahsa Fidanboy, Dr. (PhD), Fidanboy Consulting

Fidanboy Consulting

Sokullu Mehmet Pasa Mah. Nimet Cad. No: 51/16 Cankaya, ANKARA

Kerim Ozcan, Prof. Dr., Ankara Yildirim Beyazit University

Ankara Yildirim Beyazit University,

Business Department, B Block, 2nd Floor, Esenboga Campus, Ankara

Cemalettin Ocal Fidanboy, Assistant Prof. Dr., OSTIM Technical University

OSTIM Technical University,

Management Information Systems Department, Ostim, 100. Yill Blvrd. 55/F, 06374 Ostim, Yenimahalle, Ankara

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Published

2021-12-15

How to Cite

[1]
M. Fidanboy, K. Ozcan, and C. O. Fidanboy, “A Complex Adaptive Systems (CAS) Approach to Measuring Organizational Adaptation in Organizations and Investigating its Relationship with R&D Performance”, J. inf. organ. sci. (Online), vol. 45, no. 2, Dec. 2021.

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Articles