Integrated Generalized Structured Component Analysis: On the Use of Model Fit Criteria in International Management Research

Cho, Gyeongcheol; Schlaegel, Christopher; Hwang, Heungsun; Choi, Younyoung; Sarstedt, Marko; Ringle, Christian M.

doi:10.1007/s11575-022-00479-w

Cited by 14 publications

(9 citation statements)

References 112 publications

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“…A fundamental question in the application of IGSCA relates to the question of how to specify a construct. Most importantly, scientific theory should govern which measurement approach is more representative of a given construct (Cho et al , 2022d). An important criterion may be whether to consider a given construct (more precisely, the phenomenon named by the construct) as something real and mind-independent that precedes observed variables, although it is an unobservable entity (at least for the moment), or as something that is determined or preceded by observed variables.…”

Section: Principles Of Integrated Generalized Structured Component An...mentioning

confidence: 99%

“…To estimate a model’s overall fit in IGSCA, researchers can draw on the standardized root mean square residual (SRMR). This metric is well known in a factor-based context, and its efficacy has also been established in an IGSCA context (Cho et al , 2022d). The SRMR reflects the differences between the sample covariances and the covariances reproduced by the model parameter estimates upon convergence (Hu and Bentler, 1999).…”

Section: Model Evaluationmentioning

confidence: 99%

“…If these differences are small, the SRMR value becomes close to 0. In their simulation study, Cho et al (2022d)) derived cutoff values for the SRMR in IGSCA. Specifically, when N = 50, an SRMR ≤ 0.13 indicates an acceptable fit.…”

Section: Model Evaluationmentioning

confidence: 99%

“…Finally, for N > 500, researchers should assume an SRMR cutoff value of 0.06. Another model fit metric is the GFI, which is also capable of separating well-fitting from ill-fitting models, but exhibits larger Types I and II errors than SRMR, especially when the sample size is small (Cho et al , 2022d). Hence, researchers working with IGSCA should focus on the SRMR for model fit testing.…”

Section: Model Evaluationmentioning

confidence: 99%

“…Despite its promising capabilities, IGSCA use is practically absent from business research, with few applications in areas such as tourism marketing (Manosuthi et al, 2022a(Manosuthi et al, , 2022b and international management (Cho et al, 2022d). An obvious reason for this scarcity is that the method was developed only a few years ago and has recently been implemented in software with an easy-to-use graphical user interface (GSCA Pro; Hwang et al, 2021a).…”

Section: Introductionmentioning

confidence: 99%

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A primer on integrated generalized structured component analysis

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Purpose The purpose of this paper is to present integrated generalized structured component analysis (IGSCA) as a versatile approach for estimating models that contain both components and factors as statistical proxies for the constructs. The paper sets out to discuss the how-tos of using IGSCA by explaining how to specify, estimate, and evaluate different types of models. The paper’s overarching aim is to make business researchers aware of this promising structural equation modeling (SEM) method. Design/methodology/approach By merging works of literature from various fields of science, the paper provides an overview of the steps that are required to run IGSCA. Findings from conceptual, analytical and empirical articles are combined to derive concrete guidelines for IGSCA use. Finally, an empirical case study is used to illustrate the analysis steps with the GSCA Pro software. Findings Many of the principles and metrics known from partial least squares path modeling – the most prominent component-based SEM method – are also relevant in the context of IGSCA. However, there are differences in model specification, estimation and evaluation (e.g. assessment of overall model fit). Research limitations/implications Methodological developments associated with IGSCA are rapidly emerging. The metrics reported in this paper are useful for current applications, but researchers should follow the latest developments in the field. Originality/value To the best of the authors’ knowledge, this is the first paper to offer guidelines for IGSCA use and to illustrate the method's application by means of the GSCA Pro software. The recommendations and illustrations guide researchers who are seeking to conduct IGSCA studies in business research and practice.

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Section: Principles Of Integrated Generalized Structured Component An...mentioning

confidence: 99%

Section: Model Evaluationmentioning

confidence: 99%

Section: Model Evaluationmentioning

confidence: 99%

Section: Model Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A primer on integrated generalized structured component analysis

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Internationalization via industry 4.0 technologies: application areas and future roadmap for international business

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The Use of Partial Least Squares Structural Equation Modeling and Complementary Methods in International Management Research

et al. 2022

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Research in international business and management (IM) is highly complex, contextual, and spans various subfields and related theoretical lenses. These characteristics pose research challenges that require utilizing sophisticated research designs and methodologies. This paper and our focused issue on 'The use of partial least squares structural equation modeling (PLS-SEM) and complementary methods in IM research' further clarify whether and how researchers using PLS-SEM can address (some of) the challenges in IM research. We explain how researchers can benefit from the (advanced) capabilities that PLS-SEM offers; either as a stand-alone method or in triangulation efforts that leverage complementary approaches. In addition, we review the IM literature for PLS-SEM applications and evaluate whether and how researchers are already using these approaches. We identify some room for improvement when it comes to the application of both more advanced PLS-SEM capabilities and the triangulation of PLS-SEM with qualitative data analyses, and techniques such as fuzzy set qualitative comparative analyses and necessary condition analyses. For better guidance, we refer to PLS-SEM application examples in which the methodological advances are used.

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Integrated Generalized Structured Component Analysis: On the Use of Model Fit Criteria in International Management Research

Cited by 14 publications

References 112 publications

A primer on integrated generalized structured component analysis

A primer on integrated generalized structured component analysis

Internationalization via industry 4.0 technologies: application areas and future roadmap for international business

The Use of Partial Least Squares Structural Equation Modeling and Complementary Methods in International Management Research

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