Open AccessEvaluation the effect of supply chain management on firm performance in passion fruit syrup company
Author(s) -
Kimberly Febrina Kodrat,
Sukaria Sinulingga,
Humala Napitupulu,
Rika Ampuh Hadiguna
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/801/1/012123
Subject(s) - passion , passion fruit , variables , business , variable (mathematics) , value (mathematics) , marketing , passiflora , supply chain , regression analysis , business administration , food science , mathematics , statistics , psychology , chemistry , horticulture , mathematical analysis , psychotherapist , biology
In fact, supply chain management can not only be applied by large enterprises but also by Small and Medium Enterprises. One of them is Small and Medium Enterprise of Passion fruit. Passion fruit (passifloraceae) is one of the strategic commodities because of its usefulness as raw material of passion fruit syrup as an agroindustry product that has rich nutritional value of vitamin C which is beneficial to human health. This research has five elements of supply chainnamely : farmers, suppliers, extract agroindustry, passion fruit syrup agroindustry, and retailers.The objective of this study is to analyze whether there is a significant influence between Supply Chain Management on firm performance. This type of research was a causal research. Data collection used questionnaire. The result of multiple linear regression analysis, it showed that the variable of process integration has the biggest influence to variable of enterprise SCM performance (dependent) with coefficient value equal to (0,289), then variable of satisfaction with value (0,058), variable of trust (0,286), communication variable (0,184), dependency variable (0,021) and having the least was the variable of influence and commitment (0,080). This means that the five independent variables have a positive and significant influence on the dependent variable.