Publication
Title
A general framework for estimating multidimensional contingency fit
Author
Abstract
This paper develops a framework for estimating multidimensional fit. In the context of contingency thinking and the resource-based view of the firm, there is a clear need for quantitative approaches that integrate fit-as-deviation, fit-as-moderation, and fit-as-system perspectives, implying that the impact on organizational performance of series of bivariate (mis)fits and bundles of multiple (mis)fits are estimated in an integrated fashion. Our approach offers opportunities to do precisely this. Moreover, we suggest summary statistics that can be applied to test for the (non)significance of fit linkages at both the disaggregated level of individual bivariate interactions, as well as the aggregated level of groups of multivariate interactions. We systematically compare our approach with extant alternatives using simulations, including the fit-as-mediation alternative. We find that our approach outperforms these established alternatives by including fit-as-moderation and fit-as-deviation as special cases, by being better able to capture the nature of the underlying fit structure in the data and by being relatively robust to mismeasurements, small sample sizes, and collinearity. We conclude by discussing our method's advantages and disadvantages.
Language
English
Source (journal)
Organization science : a multidisciplinary journal dedicated to advancement of knowledge about organizations / Institute of Management Sciences [Providence, R.I.] - Linthicum, Md, 1990, currens
Publication
Linthicum, Md : Institute of Management Sciences , 2010
ISSN
1047-7039 [print]
1526-5455 [online]
DOI
10.1287/ORSC.1090.0464
Volume/pages
21 :2 (2010) , p. 540-553
ISI
000275751000014
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 27.05.2010
Last edited 23.08.2022
To cite this reference