TITLE:
Relationship between Green Supply Chain Adoption and Supplier Innovation Initiative: Evidence from Manufacturing Firms in Accra Metropolis
AUTHORS:
Bruce Emmanuel, Yegenmuradov Mammet, Armel Kaze, Owusu Ansah Priscilla, Akyen Bentum Alfred
KEYWORDS:
Supplier Innovation, Green Supply Chain, Innovation Initiative, Sustainable Supply Chain Management
JOURNAL NAME:
Open Journal of Business and Management,
Vol.9 No.6,
November
5,
2021
ABSTRACT: The relationship between the supplier innovation initiative and the green
supply chain adoption has received a great deal of interest from business
managers across the world. The study sought
to examine the relationship between green
supply chain adoption, supplier innovation initiative, and performance
of manufacturing firms in the Accra Metropolis. Methodology: The study employed
a quantitative approach by adopting an exploratory research design. A
structured questionnaire was used to collect data from 20 pre-quali- fied
manufacturing firms in the Accra Metropolis using purposive and simple random
sampling techniques. Multiple linear regression techniques were used to examine
the relationship between green supply chain adoption, supplier innovation
initiative, and manufacturing firms’ performance in the Accra Metropolis.
Results: The study found that innovation initiatives and drivers of the green
supply chain (external influences) have statistically significant positive
effects on the green supply chain management adoption. Also, it was found that
green supply chain management adoption has a statistically significant positive
impact on the performance of the manufacturing firms in the Accra Metropolis.
Conclusion: We recommend that manufacturing firms in Accra Metropolis should
continue to introduce a mix of green practices and green innovation initiatives
to achieve GSCM. This is crucial to affirm the accomplishment of environmental,
economic, and social gains and improved performance in the supply chain. Future
studies should introduce a moderating variable such as information technology
to ascertain how it interacts with the other variables in the study.