An investigation of the relationship between logistics information quality and LIS use based on structural equation modelling approach: The case of automotive and aerospace companies in Morocco
Main Article Content
Abstract
The objective of this paper is to test the relation between the logistics information quality (LIQ) and logistics information system (LIS) use behaviour among logisticians of the automotive and aerospace industries in Morocco. We developed a theoretical model based on literature review and performed a survey of 15 logisticians from six different companies. Finally, we made an exploratory quantitative analysis on the basis of the first data collect, principal component analysis – using SPSS. Confirmatory factor analysis was done using AMOS. The obtained results indicate that LIQ occupies a central and dominating place in the Moroccan context. Also, this variable directly determines LIS use among logisticians. The research also establishes a theoretical contribution and a practical one. Managers in the logistics & IT department in the Moroccan automotive and aerospace industries can utilise our new model to undertake managerial actions and increase the level of LIS use, by improving the LIQ.
Keywords: Logistics Information Systems (LIS), Logistics Information Quality (LIQ), Structural Equations Modelling, LIS Use, automotive industry, aerospace industry;
Downloads
Article Details
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).