English abstract
Nowadays, the world's manufacturing industries have evolved significantly. Environmental
problems have emerged, and the negative effects of their activities on the environment are
becoming increasingly apparent. Thus, green initiatives such as green purchasing have become
necessary to minimize manufacturing's environmental impact. These initiatives aim to reduce
waste, promote sustainability, and protect natural resources. The research aims to examine and
explore how government regulations, top management support, supplier relationships, customer
pressures, and expected business benefits affect the adoption of green purchasing (GP) in
manufacturing companies in Oman. It also aims to evaluate how this adoption influences
environmental performance.
Additionally, the research aims to examine GP practices among various organizations in Oman
and identify which factors positively or negatively impact GP adoption. The research proposes a
conceptual framework consisting of five factors that influence GP: government regulations, top
management support, supplier relationships, customer pressures, and expected business benefits.
The research hypothesizes that all factors positively influence GP and that adoption impacts
environmental performance. Data was collected using an online questionnaire of 202 employees
from different manufacturing companies in Oman. The online questionnaire is more suitable than
other methods because it is convenient for respondents and confidential. IBM SPSS and
SmartPLS software were used in this research. The research findings support that government
regulations, top management support, supplier relationships, and expected business benefits
significantly influence the adoption of GP, leading to improved environmental performance.
However, customer pressures do not have an impact on green practice adoption. This research
offers valuable theoretical contributions as one of the earliest studies in Oman and the GCC to
investigate GP adoption determinants and their influence on environmental performance. It also
introduces a versatile conceptual model with potential applicability across diverse
industries. Furthermore, it provides practical contributions and a comprehensive overview and
understanding for managers and decision-makers.
