Determinant factors of Indonesian muslim behavior in choosing halal products

  • Received November 27, 2020;
    Accepted December 25, 2020;
    Published December 28, 2020
  • Author(s)
  • DOI
    http://dx.doi.org/10.21511/im.16(4).2020.14
  • Article Info
    Volume 16 2020, Issue #4, pp. 155-163
  • TO CITE АНОТАЦІЯ
  • Cited by
    3 articles
  • 845 Views
  • 350 Downloads

This research aims to examine the factors influencing the Indonesian Muslim community’s actions in choosing halal items. This objective is accomplished by evaluating the factors of variable creation that affect halal product selection. 183 Muslim respondents in Indonesia collected data for the study by filling out questionnaires. There are nine variables in the questionnaire survey segment: personal social perception, halal certification, halal awareness, trust, subjective norms, satisfaction, attitude, religiosity, and interest. Data were obtained based on participants’ availability and willingness to participate in selecting the questionnaire. The approach used is quantitative descriptive, namely, factor analysis, to determine the factors that form variables. One of the most important results is that the nine variables were selected to create an element that significantly influences people’s behavior in choosing halal items. Next are satisfaction, personal social perception, subjective norms, attitude, halal certification, interest, trust, and halal awareness. The religiosity variable results give the most significant contribution of importance in shaping the variables.

Acknowledgment
Authors acknowledge the Covenant Faculty of Economics and Business of UIN Sunan Gunung Djati Bandung, who has supported this research.

view full abstract hide full abstract
    • Figure 1. Respondent Profile – age range, number
    • Figure 2. Scree plot
    • Table 1. KMO and Bartlett’s test
    • Table 2. Anti-image matrices
    • Table 3. Communalities
    • Table 4. Total variance explained
    • Table 5. Component matrixa
    • Tabel 6. Rotated component matrixa
    • Table 7. Component score coefficient matrix
    • Conceptualization
      Dudang Gojali
    • Data curation
      Dudang Gojali, Vemy Suci Asih
    • Formal Analysis
      Dudang Gojali, Vemy Suci Asih
    • Investigation
      Dudang Gojali
    • Methodology
      Dudang Gojali
    • Resources
      Dudang Gojali, Vemy Suci Asih
    • Validation
      Dudang Gojali
    • Visualization
      Dudang Gojali, Vemy Suci Asih
    • Writing – review & editing
      Dudang Gojali
    • Software
      Vemy Suci Asih
    • Writing – original draft
      Vemy Suci Asih