2024
DOI: 10.21511/im.20(1).2024.06
|View full text |Cite
|
Sign up to set email alerts
|

Analysis of factors influencing intention to purchase halal Japanese food: The moderating role of religiosity

Afief El Ashfahany,
Shafiyya Khansa Farrahvanaya,
Muhamad Subhi Apriantoro
et al.

Abstract: The purpose of this study is to investigate the factors affecting the desire to purchase halal Japanese cuisine using the theory of planned behavior and religiosity as a moderator. The study employs the structural equation modeling partial least square (SEM PLS) method to analyze data obtained from questionnaires administered to 202 Muslim consumers at halal Japanese restaurants (Ramen Ya, Marugame Udon, and Sushi Tei). The findings demonstrate that attitudes (β = 0.228, p = 0.074), subjective norms (β = 0.198… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(3 citation statements)
references
References 41 publications
0
3
0
Order By: Relevance
“…This study used a Structure Equation Modeling (SEM) approach based on Partial Least Squares (PLS). Developing SEM-PLS is used in this research because it is a standard analytical technique for analyzing complex relationships between observed variables and latent variables together (Nurrachmi et al, 2020;Sarstedt et al, 2020) and can calculate errors in research measurements to increase accurate estimates (Daengs et al, 2020;El Ashfahany et al, 2024). In addition, SEM-PLS is more appropriate to use in this study than other methods such as Propensity Score Matching (PSM).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…This study used a Structure Equation Modeling (SEM) approach based on Partial Least Squares (PLS). Developing SEM-PLS is used in this research because it is a standard analytical technique for analyzing complex relationships between observed variables and latent variables together (Nurrachmi et al, 2020;Sarstedt et al, 2020) and can calculate errors in research measurements to increase accurate estimates (Daengs et al, 2020;El Ashfahany et al, 2024). In addition, SEM-PLS is more appropriate to use in this study than other methods such as Propensity Score Matching (PSM).…”
Section: Methodsmentioning
confidence: 99%
“…WarpPLS also provides full collinearity test values which are used to analyze vertical and lateral multicollinearity problems. The algorithm used in the WarpPLS application is able to minimize multicollinearity problems between latent variables (El Ashfahany et al, 2024). The data analysis in this study was carried out in 2 steps, namely evaluation of the measurement model (outer model), and evaluation of the structural model (inner model).…”
Section: Methodsmentioning
confidence: 99%
“…The four components of purchase intent are action, purpose, situation, and timing. The more a customer intends to act in a specific way, the more likely it is that they will act in that way (Ashfahany et al, 2024). Some researchers analyze the moderating effect of social impact on the association between an individual's attitude and goals.…”
Section: Literature Reviewmentioning
confidence: 99%