دانلود رایگان مقاله لاتین معادله ساختاری حداقل مربع جزئی از سایت الزویر
عنوان فارسی مقاله:
پژوهش مدیریت اروپایی با استفاده از مدل سازی معادلات ساختاری حداقل مربعات جزئی (PLS-SEM)
عنوان انگلیسی مقاله:
European management research using partial least squares structural equation modeling (PLS-SEM)
سال انتشار : 2016
برای دانلود رایگان مقاله معادله ساختاری حداقل مربع جزئی اینجا کلیک نمایید.
بخشی از مقاله انگلیسی:
Parallel and owing to these developments, researchers have recently called for the emancipation of PLS-SEM from CB-SEM, to which the method is routinely compared (e.g., Rigdon, 2012, 2014; Sarstedt, Ringle, Henseler, & Hair, 2014). These authors maintain that “PLS path modeling can and should separate itself from factor-based SEM and renounce entirely all mechanisms, frameworks and jargon associated with factor models.” (Rigdon, 2012, p. 353). Using common factor model-based SEM as a point of reference and using PLS-SEM to mimic the results led to a lot of confusion, criticism, and ambiguity regarding the terminology used. Recently, Henseler, Ringle et al. (2016) proposed a framework that solves this problem and supports PLS-SEM's emancipation. This framework (Fig. 3) distinguishes the theoretical, conceptual, and operational layer from the statistical model layer and the estimation layer. In line with Rigdon (2012, 2014), this framework postulates that statistical methods only approximate conceptual variables in theoretical models by means of constructs in statistical models: “Whereas the theoretical layer serves to define the conceptual variable, the conceptual layer delivers the operational definition of the conceptual variables, which then serves as the basis for the measurement operationalization using effect, causal, or composite indicators on the operational layer. This conceptualization and operationalization of construct measures represents the measurement perspective. This perspective needs to be complemented with the model estimation perspective. The estimation layer intertwines with the measurement model layer that expresses how the data represent reflectively or formatively specified measurement models.” (Sarstedt, Hair, Ringle, Thiele, & Gudergan, 2016 ,p. 4006). These authors also show that PLS-SEM is optimal for estimating composite models while it simultaneously allows the approximation of common factor models involving effect indicators (Fig. 3). Another core PLS-SEM emancipation element builds on the aforementioned idea of prediction and predictive modeling. “Insights from the forecasting literature suggest that PLS path modeling has strengths as a tool for prediction which have not been fully appreciated” (Rigdon, 2012, p. 341). The StoneeGeisser test (Geisser, 1974; Stone, 1974) permits a prediction-oriented evaluation of PLS-SEM results (Wold, 1982). Although highly necessary, additional result evaluations and advances that emphasize PLSSEM's prediction-oriented use are very rare or in an early stage of development. Recently, the Journal of Business Research special issue on PLS-SEM and prediction (Cepeda Carrion, Henseler, Ringle, & Roldan, 2016 ) addressed this issue by showing the predictive estimation capabilities of PLS-SEM (Evermann & Tate, 2016) and how segmentation can improve the prediction (Schlittgen, Ringle, Sarstedt, & Becker, 2016), suggesting a new predictionoriented evaluation procedure (Shmueli et al., 2016) and extending PLS-SEM results' predictive range in combination with the agentbased simulation method (Schubring, Lorscheid, Meyer, & Ringle, 2016). However, future PLS-SEM research still offers many opportunities for methodological extensions. The call to establish predictive modeling in the social sciences disciplines could be a key point of orientation and reference for such research (Shmueli & Koppius, 2010; Shmueli, 2010). As shown in Fig. 4, a predictive modeling process must define all of its modeling process steps, just as confirmatory/explanatory modeling does. This process is an ideal point of orientation for future research on predictive modeling and PLS-SEM use, and the topics need to be systematically addressed.
برای دانلود رایگان مقاله معادله ساختاری حداقل مربع جزئی اینجا کلیک نمایید.
کلمات کلیدی:
European management research using partial least squares ... - SDU findresearcher.sdu.dk/.../european-management-research-using-par... Translate this page European management research using partial least squares structural equation modeling (PLS-SEM). Publication: Research - peer-review › Journal article. European management research using partial least squares ... - Nova nova.newcastle.edu.au/vital/access/manager/Repository/uon:25314 by NF Richter - 2016 - Cited by 2 - Related articles Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/1325619. OpenURL Link. Title: European management research using partial ... Partial least squares structural equation modeling (PLS-SEM): An ... www.emeraldinsight.com/doi/abs/10.1108/EBR-10-2013-0128 by J F. Hair Jr - 2014 - Cited by 280 - Related articles Partial least squares structural equation modeling (PLS-SEM): An emerging tool in ... An emerging tool in business research", European Business Review , Vol. ... from the marketing, management, and management information systems fields to ... While research on the PLS-SEM method has gained momentum during the ... European management research using partial least squares structural ... www.forskningsdatabasen.dk/en/catalog/2335120796 by NF Richter - 2016 - Cited by 2 - Related articles European management research using partial least squares structural equation ... of Marketing & Management, Faculty of Business and Social Sciences, SDU ... European Management Journal - Elsevier https://www.journals.elsevier.com/european-management-journal/ The European Management Journal (EMJ) is a flagship scholarly journal, publishing internationally leading research across all areas of management. ... European Management Research using Partial Least Squares Structural Equation ... Challenging neo-liberalism with governance of complexity: New democracy, new ...
