Relating alternative forms of contingency fit to the appropriate methods to test them

被引:50
作者
Burkert, Michael [1 ]
Davila, Antonio [2 ]
Mehta, Kandarp [2 ]
Oyon, Daniel [1 ]
机构
[1] Univ Lausanne, HEC Lausanne, Fac Business & Econ, CH-1015 Lausanne, Switzerland
[2] Univ Navarra, IESE Business Sch, Barcelona 08034, Spain
关键词
Contingency theory; Matching form of fit; Moderation form of fit; Mediation form of fit; Polynomial regression analysis; Covariance-based structural equation modeling; Monte Carlo simulation; MANAGEMENT CONTROL-SYSTEMS; STRATEGIC PERFORMANCE-MEASUREMENT; MAXIMUM-LIKELIHOOD-ESTIMATION; STRUCTURAL EQUATION MODELS; POLYNOMIAL REGRESSION; PROBING INTERACTIONS; MULTIPLE-REGRESSION; BUDGETARY RESEARCH; DIFFERENCE SCORES; PERSON-JOB;
D O I
10.1016/j.mar.2013.07.008
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
At the core of contingency theory, a major theory in management accounting, is the concept of fit. We critically discuss forms of fit as presented in overview articles from the management accounting field, highlighting forms of fit that have not appeared in prior overview articles (matching fit with hetero-performance on the fit line and/or asymmetric effects of mis-fit on performance). We also address some confusing arguments in the literature concerning the moderation form of fit and what has been referred as the mediation form of fit. In a second step, we reevaluate the appropriateness of statistical techniques used to test sub-forms of fit, highlighting the difficulties in differentiating conclusively between them. Specifically, we present polynomial regression analysis (PRA) in conjunction with the response surface methodology (RSM) as a powerful methodological alternative and discuss its ability to differentiate between the sub-forms of fit. We also discuss the strengths and weaknesses of structural equation modeling (SEM) to test for forms of fit. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:6 / 29
页数:24
相关论文
共 119 条
[1]   A Note on Estimating the Joreskog-Yang Model for Latent Variable Interaction Using LISREL 8.3 [J].
Algina, James ;
Moulder, Bradley C. .
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 2001, 8 (01) :40-52
[2]  
[Anonymous], EUROPEAN ACCOUNTING
[3]  
[Anonymous], 2003, Interaction effects in multiple regression
[4]  
[Anonymous], 1996, Int. J. Res. Mark., DOI [DOI 10.1016/0167-8116(95)00038-0, 10.1016/0167-8116(95)00038-0]
[5]  
[Anonymous], J MANAGEMENT ACCOUNT
[6]   AMOS - ANALYSIS OF MOMENT STRUCTURES [J].
ARBUCKLE, JL .
PSYCHOMETRIKA, 1994, 59 (01) :135-137
[7]   THE MODERATOR MEDIATOR VARIABLE DISTINCTION IN SOCIAL PSYCHOLOGICAL-RESEARCH - CONCEPTUAL, STRATEGIC, AND STATISTICAL CONSIDERATIONS [J].
BARON, RM ;
KENNY, DA .
JOURNAL OF PERSONALITY AND SOCIAL PSYCHOLOGY, 1986, 51 (06) :1173-1182
[8]   Probing interactions in fixed and multilevel regression: Inferential and graphical techniques [J].
Bauer, DJ ;
Curran, PJ .
MULTIVARIATE BEHAVIORAL RESEARCH, 2005, 40 (03) :373-400
[9]  
Bentler P. M., 1995, EQS: Structural equations program manual
[10]   Using strategic performance measurement systems for strategy formulation: Does it work in dynamic environments? [J].
Bisbe, Josep ;
Malagueno, Ricardo .
MANAGEMENT ACCOUNTING RESEARCH, 2012, 23 (04) :296-311