UEWScholar Repository

Influence of employees’ motivational factors in achieving sustainable supply chain analytics firms

Show simple item record

dc.contributor.author Hayford, S. A.
dc.date.accessioned 2024-07-09T10:42:43Z
dc.date.available 2024-07-09T10:42:43Z
dc.date.issued 2023
dc.identifier.uri http://41.74.91.244:8080/handle/123456789/3676
dc.description A dissertation in the Department of management Sciences, School of Business, submitted to the school of Graduate Studies, in partial fulfilment of the requirements for the award of the degree of Master of Business Administration (Human Resource Management) in the University of Education, Winneba NOVEMBER 2023 en_US
dc.description.abstract Although Supply Chain Analytics (SCA) has advanced, human factors are still not considered as important and are often overlooked and undervalued in several aspects of supply chain management. This research examines the significance of human (employee) motivational factors in achieving sustainable SCA in firms. Data was collected from 277 supply chain professionals in selected firms through a survey questionnaire. The proposed research model with the hypothesis was examined using Structural Equation Modelling (SEM). The study findings reveal that employee knowledge of computer interaction affects motivation for SCA. Furthermore, firms' activities that foster employees' knowledge sharing and subjective wellbeing positively affect the motivation for SCA. Similarly, employee working environment has a relationship with motivation for SCA. However, employee silence has a negative effect on motivation for SCA. This study has very positive implications for the implementation and sustainability of SCA for firms. Detailed theoretical contributions and managerial implications were discussed. en_US
dc.language.iso en en_US
dc.publisher University of Education, Winneba en_US
dc.subject motivation en_US
dc.subject employee en_US
dc.subject supply chain en_US
dc.title Influence of employees’ motivational factors in achieving sustainable supply chain analytics firms en_US
dc.type Thesis en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search UEWScholar


Browse

My Account