Journal of Applied Data Sciences
Vol 5, No 1: JANUARY 2024

Structural Equation Modeling on Women’s Perceptions of Halal Cosmetics Based on The Development of TPB Framework Using Religiosity, Social Influence, Knowledge, and Brand Value

Utami, Meinarini Catur (Unknown)
Fetrina, Elvi (Unknown)



Article Info

Publish Date
29 Jan 2024

Abstract

Nowadays cosmetics play an important role for women to maintain their beauty. The statistics show that in 2018, there was an increase of 5.5 % in the cosmetics market globally compared to the previous year whereas the skincare product accounted for about 39% of the worldwide market. In Indonesia, it shows quite the same condition and it also shows that the trend of halal cosmetics has a quite big demand with which 58.3% of Indonesian women choose halal cosmetics. This study was continuous research from the previous one conducted by the authors in 2018 to find out whether there was an influence of religiosity on Indonesian Muslim women intentions and behavior in buying Korean cosmetics based on Halal issues. Based on previous research and other similar research, the researchers developed The Theory of Planned Behavioral (TPB) as the model with some additional variables including religiosity, social influence, knowledge, and brand value. In continuation, this paper determined whether women regardless of these variables are interested in halal cosmetics that showed through intention variable in TPB. The model with 7 proposed hypotheses was analyzed by using the Structural Equation Modeling (SEM) method and SmartPLS as a tool. The results based on the 600 women of college students (muslim and non-muslim) in Java showed that 6 hypotheses have significant influence toward the intention to use halal cosmetics.

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Journal Info

Abbrev

JADS

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Description

One of the current hot topics in science is data: how can datasets be used in scientific and scholarly research in a more reliable, citable and accountable way? Data is of paramount importance to scientific progress, yet most research data remains private. Enhancing the transparency of the processes ...