Consumer Preferences on Halal Supply Chain Implementation in Food and Beverage Franchise Firms in Mataram City

This study aims to determine consumer preferences for the implementation of halal supply chains in food and beverage franchise firms in Mataram City. Customer preference theory is measured using the hierarchy of effect model. The object of research is the society of Mataram City. The research method uses multiple linear regression analysis and partial test (t-test) to answer the research hypothesis. The sampling technique used was purposive sampling method with a total of 384 respondents determined based on the Krejcie and Morgan table. Research data management was carried out using IBM SPSS 25. Data collection was carried out using an online questionnaire. The results of this study reveal that the variables of customer awareness, customer liking, customer preference have a significant effect on the implementation of halal supply chains in food and beverage franchise companies. Meanwhile, customer purchase has an effect but not significant halal supply chain implementation in food and beverage franchise companies. Meanwhile, customer knowledge and customer conviction / intention to buy have no effect on the implementation of the HSCM in food and beverage franchise firms. The results of this study will be useful for food and beverage franchise companies, knowledge for readers and can be a source of information and reference for further research.

Authors

Publication Details

Journal
JOURNAL OF APPLIED BUSINESS ADMINISTRATION
Published
2024-09-30
DOI
https://doi.org/10.30871/jaba.v8i2.6778
Primary Topic
Halal products and consumer behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Consumer Preferences on Halal Supply Chain Implementation in Food and Beverage Franchise Firms in Mataram City

M Syahdi Yusuf, Fuad Arif Rahman
JOURNAL OF APPLIED BUSINESS ADMINISTRATION
Halal products and consumer behavior
article

Consumer Preferences on Halal Supply Chain Implementation in Food and Beverage Franchise Firms in Mataram City

M Syahdi Yusuf, Fuad Arif Rahman
article en

Abstract

This study aims to determine consumer preferences for the implementation of halal supply chains in food and beverage franchise firms in Mataram City. Customer preference theory is measured using the hierarchy of effect model. The object of research is the society of Mataram City. The research method uses multiple linear regression analysis and partial test (t-test) to answer the research hypothesis. The sampling technique used was purposive sampling method with a total of 384 respondents determined based on the Krejcie and Morgan table. Research data management was carried out using IBM SPSS 25. Data collection was carried out using an online questionnaire. The results of this study reveal that the variables of customer awareness, customer liking, customer preference have a significant effect on the implementation of halal supply chains in food and beverage franchise companies. Meanwhile, customer purchase has an effect but not significant halal supply chain implementation in food and beverage franchise companies. Meanwhile, customer knowledge and customer conviction / intention to buy have no effect on the implementation of the HSCM in food and beverage franchise firms. The results of this study will be useful for food and beverage franchise companies, knowledge for readers and can be a source of information and reference for further research.

JOURNAL OF APPLIED BUSINESS ADMINISTRATIONVol. 8(2)
Openalex Percentile: Top 55%
Halal products and consumer behavior
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.