Model of Improving Member Satisfaction Through Optimization of Services of The Management of The Island Prosperous Bananing Producers Cooperative and Participation of Plasma Oil Palm Members
DOI:
https://doi.org/10.30659/jrbi.v23i2.52857Keywords:
Cooperative Management Services, Member Satisfaction, Members Dad Participation, PLS-SEM, Smartpls.Abstract
This study aims to describe, analyze, and provide empirical evidence regarding the Model for Increasing Member Satisfaction Through Optimization of Cooperative Management Services at Pulau Bananing Sejahtera Producer Cooperative and Palm Oil Plasma Member Participation. This study examines the effect of Cooperative Management Services on Member Satisfaction, the effect of Management Services on Member Participation, the effect of Member Participation on Member Satisfaction, and the mediating role of Member Participation in the relationship between Management Services and Member Satisfaction. The analytical method used is Partial Least Squares – Structural Equation Modeling (PLS-SEM) using SmartPLS version 3.0 application. The sample consisted of 109 respondents selected from a population of 150 active members of Pulau Bananing Sejahtera Producer Cooperative using the Slovin formula. The results show that: (1) Management Services has a positive and significant effect on Member Satisfaction (β = 0.671; t = 11.523; p < 0.05), H1 accepted; (2) Management Services has a positive and significant effect on Member Participation (β = 0.493; t = 5,312; p < 0.05), H2 accepted; (3) Member Participation has a positive and significant effect on Member Satisfaction (β = 0.182; t = 2.047; p = 0.041), H3 accepted; and (4) Member Participation is proven to partially mediate the relationship between Management Services and Member Satisfaction (indirect effect = 0.090; t = 2.031; p = 0.043), H4 accepted. The R² value of Member Satisfaction at 0.681 indicates strong model predictive power. The overall model is declared fit with SRMR = 0.062 and GoF = 0.662.
References
Journals:
Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.
Prasetyo, A., Hidayat, R., & Suryani, E. (2020). Partisipasi Anggota Koperasi: Konsep dan Pengukurannya. Jurnal Manajemen Koperasi Indonesia, 8(2), 45–62.
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891.
Sari, D., Nugroho, M., & Hartono, J. (2023). Metode Penelitian Eksplanatori dalam Ilmu Manajemen. Jurnal Manajemen Indonesia, 23(1), 78–95.
Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M., & Lauro, C. (2005). PLS path modeling. Computational Statistics & Data Analysis, 48(1), 159–205.
Books:
Abdillah, W., & Jogiyanto, H. (2014). Partial Least Square (PLS): Alternatif Structural Equation Modeling (SEM) dalam Penelitian Bisnis. Yogyakarta: Andi Offset.
Angel, J. F., Blackwell, R. D., & Miniard, P. W. (1992). Consumer Behavior (6th ed.). Chicago: The Dryden Press.
Arikunto, S. (2010). Prosedur Penelitian: Suatu Pendekatan Praktik. Jakarta: Rineka Cipta.
Chin, W. W. (1998). The partial least squares approach for structural equation modeling. In G. A. Marcoulides (Ed.), Modern Methods for Business Research (pp. 295–336). Lawrence Erlbaum Associates. (Kategori: Bab dalam Buku/Book Chapter)
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.
Cooper, D. R., & Schindler, P. S. (2014). Business Research Methods (12th ed.). New York: McGraw-Hill Education.
Evi, N., & Rachbini, W. (2022). Analisis Data dengan Partial Least Square (PLS). Jakarta: PT. RajaGrafindo Persada.
Field, A. (2000). Discovering Statistics Using SPSS for Windows. London: Sage Publications.
Ghozali, I. (2006). Aplikasi Analisis Multivariate dengan Program SPSS. Semarang: Badan Penerbit Universitas Diponegoro.
Ghozali, I., & Latan, H. (2015). Partial Least Squares: Konsep, Teknik, dan Aplikasi Menggunakan Program SmartPLS 3.0 (2nd ed.). Semarang: Badan Penerbit UNDIP.
Handayani, S. (2020). Metode Penelitian Sosial. Jakarta: PT. Gramedia Pustaka Utama.
Jogiyanto, H., & Abdillah, W. (2009). Konsep dan Aplikasi PLS (Partial Least Square) untuk Penelitian Empiris. Yogyakarta: BPFE.
Kartasapoetra, G. (2003). Koperasi Indonesia. Jakarta: Rineka Cipta.
Kotler, P. (2000). Marketing Management: The Millennium Edition. Upper Saddle River, NJ: Prentice Hall.
Margono, S. (2017). Metodologi Penelitian Pendidikan. Jakarta: Rineka Cipta.
Sekaran, U. (2016). Research Methods for Business: A Skill-Building Approach (6th ed.). Chichester: John Wiley & Sons.
Slamet Rianto, S. (2020). Populasi dan Sampel dalam Penelitian Kuantitatif. Yogyakarta: Pustaka Pelajar.
Sugiyono. (2016). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: Alfabeta.
Sugiyono. (2017). Statistika untuk Penelitian. Bandung: Alfabeta.
Sugiyono. (2020). Metode Penelitian Kuantitatif, Kualitatif, dan Kombinasi (Mixed Methods). Bandung: Alfabeta.
Sujarweni, V. W. (2020). Metodologi Penelitian Bisnis dan Ekonomi. Yogyakarta: Pustaka Baru Press.
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
