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All Journal MIX : Jurnal Ilmiah Manajemen Suhuf: International Journal of Islamic Studies
Darmawan, Teuku Fajar Akbar
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Religion Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Social Sciences

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Exploring Relationship Value through Second-Order Model and Importance-Performance Map Prasetya, Prita; Najib, Mukhamad; Darmawan, Teuku Fajar Akbar
MIX: JURNAL ILMIAH MANAJEMEN Vol 15, No 3 (2025): MIX : Jurnal Ilmiah Manajemen
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jurnal_mix.2025.v15i3.003

Abstract

Objectives: This research aims to examine the direct impact of relationship value (RV) on distributor satisfaction through a second-order analysis using structural equation modeling (SEM). The study focuses on understanding how various dimensions of RV contribute to enhancing satisfaction among distributors.Methodology: A cross-sectional survey was conducted, collecting data from 193 middle-class distributors. The analysis employs a second-order model to explore the relationships between RV dimensions and distributor satisfaction, while also utilizing Importance-Performance Map Analysis (IPMA) to identify key areas for improvement.Finding: The results confirm the direct influence of RV on distributor satisfaction. The second-order model effectively identifies several critical dimensions of RV that significantly enhance satisfaction. IPMA results highlight that strengthening distributor reliance on sellers by providing more valuable market insights can boost satisfaction. Additionally, RV supported by seller expertise and timely market entry can foster stronger relationships with principals.Conclusion: This study offers valuable insights for managers, recommending a focus on the most critical dimensions of RV to improve distributor satisfaction and overall performance. By enhancing support and expertise, companies can build more positive and lasting relationships with their distributors.
Mapping Ethical Consumption Patterns in Halal Cosmetics Using Data-Driven Clustering Prasetya, Prita; Najib, Mukhamad; Mahliza, Febrina; Darmawan, Teuku Fajar Akbar
Suhuf: International Journal of Islamic Studies Vol. 38 No. 1 (2026): May
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/suhuf.v38i1.17148

Abstract

Background: The growing demand for halal cosmetic products reflects increasing ethical awareness among Muslim consumers. Understanding how ethical consumption patterns are formed is essential for businesses operating along the halal value chain, particularly in the era of artificial intelligence (AI)-driven decision-making. Objective: This study aims to map ethical consumption patterns in halal cosmetic products using a data-driven clustering approach and to examine their implications for B2B marketing strategies. Methodology: Survey data were collected from halal cosmetic consumers in Indonesia using a Likert-scale instrument. Ethical consumption scores were constructed by integrating halal awareness, halal literacy, attitudes, subjective norms, perceived behavioral control, social influence, intention, and behavior. An exploratory K-Means clustering analysis, supported by the Elbow Method, was applied to identify optimal consumer segments based on data patterns. Results: The findings reveal three distinct clusters reflecting varying levels of ethical orientation. The first cluster demonstrates strong internalization of halal values and consistent alignment between intentions and behavior. The second cluster highlights the influence of cognitive and normative factors, while the third cluster is characterized by relatively weaker ethical commitment and greater external influence. Implications: Ethical consumption in halal cosmetics is primarily driven by internal values rather than social pressure. These insights support the development of targeted segmentation and distribution strategies, as well as AI-based supply chain collaboration aligned with Islamic ethical principles.
Co-Authors Febrina Mahliza Mukhamad Najib Prita Prasetya