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Showing 2 results for Gunawan

Muhammad Asrol, Muchammad Arief, Hendra Gunawan,
Volume 34, Issue 3 (IJIEPR 2023)
Abstract

The food industry's supply chain primarily relies on materials that are not environmentally friendly. To address this issue and improve overall performance, the implementation of Green Supply Chain Management (GSCM) becomes crucial. The objective of this research is to analyze the factors influencing the adoption of GSCM and its impact on the performance of the food industry, particularly in Indonesia where there is a high potential for waste production and environmental impact. The study targeted 83 food industry companies as respondents, achieving a response rate of 76.82%. The research employed a Partial Least Squares (PLS) and statistical analysis approach to test hypotheses regarding food industry performance. The findings indicate that GSCM does not directly affect food industry performance. However, GSCM has a positive influence on Green Innovation, which in turn has a positive impact on Company Performance. Green Innovation acts as a mediator between GSCM and Corporate Performance. The implementation of a GSCM at the food industry not only enhances environmental performance but also to improved economic performance. It is emphasized that renewable company innovations should be integrated alongside the adoption of green supply chains. The study highlights that the positive effects of the GSCM  are more significant when mediated by green innovation.
 
Dian Dewi, Yustinus Hermanto, Martinus Sianto, Jaka Mulyana, Dian Trihastuti, Ivan Gunawan,
Volume 35, Issue 2 (IJIEPR 2024)
Abstract

Supply chain agility (SCA) has emerged as a significant focus for industries and businesses, serving as a cornerstone for gaining a competitive edge and playing a pivotal role in supply chain management. This importance is further underscored in the context of Product–Service Systems (PSS), which involve the development of both products and services. Despite the existing body of research on SCA and PSS, there has been a notable dearth of empirical studies examining the readiness of PSS SCA. This study makes a substantial contribution by developing a valid and reliable framework to assess the readiness of PSS for supply chain agility. The process involves defining domains, generating items, analyzing agreement among raters, testing for response bias, and conducting exploratory and confirmatory factor analyses. Using structural equation modeling, the model's validity and reliability were evaluated through an online survey with 405 participants from official motorcycle service partners. The findings identify six key capability constructs: collaboration, knowledge transfer, service partner development, information sharing, logistic integration and supply chain agility. This examination of PSS SCA readiness and its constructs provides a validated tool for industry practitioners to enhance their supply chain agility. 


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