2016
DOI: 10.1108/imr-04-2014-0148
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A critical look at the use of SEM in international business research

Abstract: If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series … Show more

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Cited by 434 publications
(330 citation statements)
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References 148 publications
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“…The study selected the PLS-SEM technique because of its predictive performance (Davcik 2014;Richter et al 2016). Prior to SEM, the data were tested on suitability for exploratory factor analysis (EFA) using the Kaiser-Meyer-Olkin and Bartlett tests (Pallant 2010).…”
Section: Quantitative Approachmentioning
confidence: 99%
“…The study selected the PLS-SEM technique because of its predictive performance (Davcik 2014;Richter et al 2016). Prior to SEM, the data were tested on suitability for exploratory factor analysis (EFA) using the Kaiser-Meyer-Olkin and Bartlett tests (Pallant 2010).…”
Section: Quantitative Approachmentioning
confidence: 99%
“…However, we argue that this study has a quasi-exploratory approach and is positioned in what Weick (1995) calls an 'interim struggle' of theorizing (Sinkovics, 2016) engaged in so as to arrive on more solid ground for making generalizations (Sinkovics et al, 2013). Hence, we deliberately applied the "soft-modelling" capabilities of PLS-SEM (Richter, Sinkovics, Ringle, & Schlaegel, 2016;Ringle et al, 2014;Wold, 1980). research model including both first-and higher-order constructs in the type of variables and also direct and mediated effects in the hypothesised relationships (Albort-Morant, LealMillán, & Cepeda, 2016).…”
mentioning
confidence: 99%
“…The PLS was adequate to our model because it fits complex research with small-sized samples, making no underlying assumptions regarding data distribution. Otherwise, unlike covariance-based modeling, it works with formative, reflective and single-item constructs (Hair et al, 2014;Peng & Lai, 2012;Richter, Sinkovics, Ringle, & Schlägel, 2016). The sample size required for performing PLS-SEM must follow the 10-times rule, that is, 10 times the largest number of structural paths directed to a latent variable in the structural model (Evermann & Tate, 2016;Hair et al, 2014;Richter et al, 2016).…”
Section: Methodsmentioning
confidence: 99%
“…In the following section, we present the results of the PLS modeling, considering that we followed strict recommendations in order to guarantee the rigor and the richness of the description of data analysis (Chin, 2010;Peng & Lai, 2012;Richter et al, 2016;Streukens & Leroi-Werelds, 2016 …”
Section: Methodsmentioning
confidence: 99%
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