https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34549 Tue 26 Mar 2019 13:55:01 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15424 Sat 24 Mar 2018 08:23:02 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:17377 Sat 24 Mar 2018 08:01:31 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:17815 Sat 24 Mar 2018 07:57:34 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20627 Sat 24 Mar 2018 07:55:47 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:16377 Sat 24 Mar 2018 07:52:28 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21039 Sat 24 Mar 2018 07:50:36 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:27214 European Business Review, Volume 28, Issue 1) offered an overview of unobserved heterogeneity in the context of partial least squares structural equation modeling (PLS-SEM), its prevalence and challenges for social sciences researchers. This paper aims to provide an example that explains how to identify and treat unobserved heterogeneity in PLS-SEM by using the finite mixture PLS (FIMIX-PLS) module in the SmartPLS 3 software (Part II). Design/methodology/approach: This case study illustrates the application of FIMIX-PLS using a popular corporate reputation model. Findings: The case study demonstrates the capability of FIMIX-PLS to identify whether unobserved heterogeneity significantly affects structural model relationships. Furthermore, it shows that FIMIX-PLS is particularly useful for determining the number of segments to extract from the data. Research limitations/implications: Since the introduction of FIMIX-PLS, a range of alternative latent class techniques has appeared. These techniques address some of the limitations of the approach relating to, for example, its failure to handle heterogeneity in measurement models, or its distributional assumptions. This research discusses alternative latent class techniques and calls for the joint use of FIMIX-PLS and PLS prediction-oriented segmentation. Originality/value: This article is the first to offer researchers, who have not been exposed to the method, an introduction to FIMIX-PLS. Based on a state-of-the-art review of the technique, the paper offers a step-by-step tutorial on how to use FIMIX-PLS by using the SmartPLS 3 software.]]> Sat 24 Mar 2018 07:32:25 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22938 Sat 24 Mar 2018 07:16:49 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:23845 Sat 24 Mar 2018 07:12:11 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:17375 Mon 15 Jun 2015 14:36:14 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32491 Fri 08 Jun 2018 13:12:14 AEST ]]>