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Exploring Relationship Value through Second-Order Model and Importance-Performance Map Prita Prasetya; Mukhamad Najib; Teuku Fajar Akbar Darmawan
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 Prita Prasetya; Mukhamad Najib; Febrina Mahliza; Teuku Fajar Akbar Darmawan
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.
Who Manages B2B Relationships? A Hybrid Cluster Analysis of Demographic, Occupational, And Organizational Profiles in Indonesia Prita Prasetya; Didin Hikmah Perkasa; Mochamad Hasan Purnomo
Greenation Management and Business Review Vol. 3 No. 1 (2026): Greenation Management and Business Review (October 2026 - March 2027)
Publisher : Greenation Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gmbr.v3i1.840

Abstract

This study aims to identify the profiles of individuals engaged in business-to-business (B2B) relationships in Indonesia and to evaluate the consistency and external relevance of these profiles. The study employs an exploratory quantitative approach using a cross-sectional survey design. A total of 273 responses that met the criteria were analyzed using sequential hybrid clustering, which combines Two-Step Cluster Analysis and K-Modes. Cluster formation was based on age, education, work experience, job title, and field of work, while company size, industry, and type of business partner were used as external validation variables. The results identified five profiles of B2B relationship practitioners: operational relationship professionals, early-career commercial staff, highly educated commercial staff, commercial supervisors, and support function staff. Differences in profiles are primarily shaped by job function, education, age, and job level. Cluster distributions also vary based on company size, industry, and the type of primary business partner. A comparison of TwoStep and K-Modes showed a moderate level of convergence, indicating that the cluster solutions are adequate for exploratory interpretation but still require further validation. These findings expand B2B segmentation from customers and buyer companies to the individuals who manage interorganizational relationships. In practical terms, the resulting profiles can help companies tailor training, staffing, career development, and cross-functional coordination.