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Relationship of Big Data Analytics Capability and Product Innovation Performance using SmartPLS 3.2.6: Hierarchical Component Modelling in PLSSEM


Tan, Kar Hooi and Abu, Noor Hidayah and Abdul Rahim, Mohd Kamarul Irwan (2018) Relationship of Big Data Analytics Capability and Product Innovation Performance using SmartPLS 3.2.6: Hierarchical Component Modelling in PLSSEM. International Journal of Supply Chain Management (IJSCM), 7 (1). pp. 51-64. ISSN 2050-7399

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Abstract

Partial Least Squares Structural Equation Modeling (PLS-SEM) is well-known as the second generation of multivariate statistical analysis to correlate the relationship between multiple variables namely the latent construct. Lately, the popularity using PLS-SEM is growing within the Variance-Based (VB) SEM community.There is still a great number of researcher finding VB-SEM results reporting a daunting task. Ultimately, an advanced PLS-SEM analysis utilizing product innovation performance example with SmartPLS 3.2.6 tool.Higher order construct or hierarchical component modelling is seen as an advanced tool towards the parsimony of the research variables conceptualization.

Item Type: Article
Uncontrolled Keywords: Partial Least Squares, Structural Equation Modelling, PLS-SEM, SmartPLS 3.2.6, Big Data Analytics Capability, Product Innovation Performance, Higher-order Constructs
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Technology Management & Logistics
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 23 Jul 2018 01:28
Last Modified: 23 Jul 2018 01:28
URI: http://repo.uum.edu.my/id/eprint/24446

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