İmalat İşletmelerinin Sürdürülebilir Süreç İnovasyonu (SSİ) Faaliyet ve Sonuçlarının PLS-SEM ile Değerlendirilmesi (The Evaluation of Sustainable Process Innovation (SPI) Activities and Results in Manufacturing Organization via PLS-SEM)
نویسندگان
چکیده
منابع مشابه
Single missing data imputation in PLS-SEM
An important source of bias in structural equation modeling (SEM) employing the partial least squares method (PLS) is missing data. Deletion methods, such as listwise and pairwise deletion, have traditionally been used to deal with missing data. These methods are perceived as leading to selective loss of data and significant related biases. Missing data imputation methods, on the other hand, do...
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In disciplines other than IS, the use of covariance-based structural equation modelling (SEM) is the mainstream method for SEM analysis, and for confirmatory factor analysis (CFA). Yet a body of IS literature has developed arguing that PLS regression is a superior tool for these analyses, and for establishing reliability and validity. Despite these claims, the views underlying this PLS literatu...
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FAC-SEM is a special type of multigroup analysis where the groups are structured as a factorial design. The aim of FAC-SEM is to assess how the path model parameters vary as a function of the dimensions of the underlying factorial design. As such, FAC-SEM offers researchers a unique opportunity to further understand their experimental data. This paper explains how the FAC-SEM methodology can be...
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The use of the partial least squares (PLS) approach for structural equation modeling (SEM) has been experiencing explosive growth, particularly in the last few years. The calculation of P values is extensively used for hypothesis testing in PLS-SEM. Such calculation typically relies on standard errors estimated via bootstrapping. This leads to unstable P values and prohibitive computational dem...
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ژورنال
عنوان ژورنال: Journal of Business Research - Turk
سال: 2021
ISSN: 1309-0712
DOI: 10.20491/isarder.2021.1120