dc.contributor.author | Kante, Macire | |
dc.contributor.author | Chepken, Christopher | |
dc.contributor.author | Oboko, Robert | |
dc.date.accessioned | 2021-09-30T10:04:02Z | |
dc.date.available | 2021-09-30T10:04:02Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Kante, Macire, Christopher Chepken, and Robert Oboko. "Partial least square structural equation modelling’use in information systems: An updated guideline of practices in exploratory settings." Kabarak Journal of Research & Innovation 6.1 (2018): 49-67. | en_US |
dc.identifier.uri | https://www.researchgate.net/profile/Macire-Kante/publication/323783882_Partial_Least_Square_Structural_Equation_Modelling_'_use_in_Information_Systems_an_updated_guideline_of_practices_in_exploratory_settings/links/5aaac3d4a6fdccd3b9bbf13c/Partial-Least-Square-Structural-Equation-Modelling-use-in-Information-Systems-an-updated-guideline-of-practices-in-exploratory-settings.pdf | |
dc.identifier.uri | http://erepository.uonbi.ac.ke/handle/11295/155569 | |
dc.description.abstract | The purpose of many studies in the field of Information Systems (IS) research is to analyse
causal relationship between variables. Structural Equation Modelling (SEM) is a statistical
technique for testing and estimating those causal relationships based on statistical data and
qualitative causal assumption. Partial Least Square Structural Equation Modelling (PLS-
SEM) is the technique that is mostly used in IS research. It has been subject to many reviews
either in confirmatory or exploratory settings. However, it has recently emerged that PLS
occupies the middle ground of exploratory and confirmatory settings. Thus, this paper intends
to propose an updated guideline for the use of PLS-SEM in Information Systems Research in
exploratory settings maintaining interpretability. A systematic literature review of 40
empirical and methodological studies published between 2012 and 2016 in the leading journal
of the field guide future empirical work. | en_US |
dc.language.iso | en | en_US |
dc.publisher | University of Nairobi | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | SEM; PLS-SEM; Information Systems; Confirmatory; Exploratory; Guideline | en_US |
dc.title | Partial least square structural equation modelling’use in information systems: an updated guideline in exploratory settings. | en_US |
dc.type | Article | en_US |