Testing IB theories with meta-analytic structural equation modeling The TSSEM approach and the Univariate-r approach

被引:18
作者
Tang, Ryan W. [1 ]
Cheung, Mike W. -L. [2 ]
机构
[1] Univ South Australia, Sch Business, Sch Commerce, Adelaide, SA, Australia
[2] Natl Univ Singapore, Singapore, Singapore
关键词
Structural equation modeling; Meta-analysis; Research method;
D O I
10.1108/RIBS-04-2016-0022
中图分类号
F [经济];
学科分类号
02 ;
摘要
Purpose - The purpose of this paper is to illustrate how international business (IB) researchers can benefit from meta-analytic structural equation modeling (MASEM) by introducing a statistically rigorous approach (i.e. two-stage meta-analytic structural equation modeling or TSSEM) and comparing it with a conventional approach (i.e. the univariate-r approach). The illustration and comparison present a methodological overview of MASEMthat will assist IB researchers in selecting an optimal method. Design/methodology/approach - In this paper, the MASEM method is elaborated upon, and methodological issues are addressed, by comparing the TSSEM and the univariate-r approaches using an empirical illustration. In this illustrative example, which is based on transaction cost economics, the effects of a firm's internal factors on its levels of commitment in an international entry strategy are examined. Findings-The MASEM method can help IB researchers to test and build on IB theories by synthesizing findings in the extant literature because this method reflects the theoretical complexity of IB (e.g. intercorrelationships among factors). Comparing the two approaches of MASEM, it is found in this study that due to its statistical rigorousness TSSEM has methodological advantages in helping IB researchers test theoretical models. Originality/value - This is the first study to introduce MASEM into the discipline of IB strategies. In this paper, the authors introduce an advanced research method and illustrate two ways of using it.
引用
收藏
页码:472 / 492
页数:21
相关论文
共 61 条
[1]   THE SMALL SAMPLE PERFORMANCE OF 4 TESTS OF THE DIFFERENCE BETWEEN PAIRS OF META-ANALYTICALLY DERIVED EFFECT SIZES [J].
ALLIGER, GM .
JOURNAL OF MANAGEMENT, 1995, 21 (04) :789-799
[2]  
[Anonymous], 1985, SUMMA SUMMARUM MANAG
[3]  
Barkema HG, 1998, ACAD MANAGE J, V41, P7, DOI 10.2307/256894
[4]   USING RESULTS FROM REPLICATED STUDIES TO ESTIMATE LINEAR-MODELS [J].
BECKER, BJ .
JOURNAL OF EDUCATIONAL STATISTICS, 1992, 17 (04) :341-362
[5]  
Becker BJ, 2009, HDB RES SYNTHESIS ME, P377
[6]  
BECKER BJ, 1994, HDB RES SYNTHESIS, P357
[7]   From the Editors: Conducting high impact international business research: The role of theory [J].
Bello, Daniel C. ;
Kostova, Tatiana .
JOURNAL OF INTERNATIONAL BUSINESS STUDIES, 2012, 43 (06) :537-543
[8]   Using meta-analytic structural equation modeling to advance strategic management research: Guidelines and an empirical illustration via the strategic leadership-performance relationship [J].
Bergh, Donald D. ;
Aguinis, Herman ;
Heavey, Ciaran ;
Ketchen, David J. ;
Boyd, Brian K. ;
Su, Peiran ;
Lau, Cubie L. L. ;
Joo, Harry .
STRATEGIC MANAGEMENT JOURNAL, 2016, 37 (03) :477-497
[9]   OVERALL FIT IN COVARIANCE STRUCTURE MODELS - 2 TYPES OF SAMPLE-SIZE EFFECTS [J].
BOLLEN, KA .
PSYCHOLOGICAL BULLETIN, 1990, 107 (02) :256-259
[10]   Transaction cost-enhanced entry mode choices and firm performance [J].
Brouthers, KD ;
Brouthers, LE ;
Werner, S .
STRATEGIC MANAGEMENT JOURNAL, 2003, 24 (12) :1239-1248