Abstract
The aim of this study was to assess the impact of digital technologies on the green logistics performance of Tanzanian procuring entities. The study was guided by the technology-organization-environment model, the Schumpeter theory of innovation, and the Unified Theory of Acceptance and Use of Technology. A total of 427 respondents were included in the study, and data were collected using the stratified sampling technique. The study employed post positivism research paradigm and involved the use of explanatory cross-sectional surveys in data collection. The data were collected by administering questionnaires and examining relevant documents. The inferential statistics analysis of data collected was conducted using Partial Least Squares Structural Equation Modeling with the help of SmartPLS 4 software. The data collected on respondents' profiles was analyzed using descriptive statistics with the assistance of IBM SPSS Statistics Version 26. The results suggest that the use of augmented reality, predictive analytics, information and communication technology (ICT) specialists, and the intention to use robots all have a beneficial impact on the efficiency and effectiveness of green logistics. The study recommends that suppliers and buyers in Tanzania and other developing countries should use robots, augmented reality, ICT specialists and predictive analytics to improve the green logistics performance.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
