Open AccessConstruction of Collaboration Model of Supply Chain Management on Business Performance and Sustainable Competitive Advantage Using Structural Equation Modeling (SEM) Method
Author(s) -
Mohammad Rachman Waluyo,
Nurfajriah,
Haris Adi Swantoro,
Evan Filbert,
Pinta Imanda
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1569/4/042046
Subject(s) - structural equation modeling , supply chain , supply chain management , procurement , competitive advantage , business , dependency (uml) , population , sample (material) , industrial organization , marketing , knowledge management , computer science , engineering , statistics , mathematics , systems engineering , chemistry , demography , chromatography , sociology
Supply chain management strategies can be used to collaborate between members of the supply chain through supply chain collaboration (SCC). Supply chain collaboration can be made using Structural Equation Modeling (SEM). SEM is a statistical modeling technique to test the relationship between complex variables to obtain a comprehensive picture of the overall model. The method in this study is included in the type of causal research, where the population involves all ICON + employees from the group leader level to managers and employees who have and know the process of procurement of goods and services. The size of the sample is based on the maximum likelihood, which is greater than or equal to 100. The results of this study show 6 hypotheses proposed by the researchers. The result is 1 non-significant variable as a factor affecting supply chain collaboration, namely the Trust variable, while Communication, Commitment and Dependency have a significant influence on collaboration supply chain, the results of this study also answer research gaps previously carried out by (Stefany et al., 2014) which state that dependence has no significant effect on supply chain collaboration.