Integrating Bibliometric Analysis Using VosViewer and Path Analysis to Model Farmer Loyalty
DOI:
https://doi.org/10.20956/1tmzsm24Keywords:
Bibliometric Mapping, Bootstrap Resampling, Path Analysis, Systematic Literature ReviewAbstract
This study aims to develop a comprehensive model of farmer loyalty by integrating bibliometric mapping and path analysis. A Systematic Literature Review (SLR) combined with bibliometric analysis using VOSviewer was conducted on 434 Scopus-indexed documents to identify key variables. The results revealed that farmer needs is a dominant variable with strong relevance in the research network. Based on these findings, a path analysis model was constructed to examine the relationships among farmer needs, farmer success, and farmer loyalty. The results indicate that farmer needs and farmer success have a significant direct effect on farmer loyalty. Furthermore, farmer success partially mediates the relationship between farmer needs and farmer loyalty, indicating both direct and indirect influences. The model evaluation shows a high coefficient of total determination (=0.9340), suggesting that 93.40% of the variation in farmer loyalty can be explained by the proposed model. This study contributes methodologically by integrating bibliometric mapping with statistical modeling and provides practical insights for improving farmer loyalty through the fulfillment of farmer needs and support for agricultural success.
References
[1] M. Sarstedt, C. M. Ringle, and J. F. H. Jr, “Partial Least Squares Structural Equation Modeling,” Cham Springer Int. Publ., pp. 587–632, 2021, doi: https://doi.org/10.1007/978-3-319-57413-4_15.
[2] G. Dash and J. Paul, “CB-SEM vs PLS-SEM methods for research in social sciences,” Technol. Forecast. Soc. Change, vol. 173, no. 121092, 2021, doi: https://doi.org/10.1016/j.techfore.2021.121092.
[3] J. Henseler, “Composite-based structural equation modeling: Analyzing latent variables,” Mark. Anal., vol. 9, pp. 76–94, 2021, doi: https://doi.org/10.1057/s41270-021-00117-8.
[4] P. Kotler and K. L. Keller, Marketing management 14th. prentice Hall, 2011.
[5] D. Suhandoko and P. Pakarti, “Analisis Faktor-Faktor yang Mempengaruhi Keberhasilan Peserta Program Perkebunan Inti Rakyat Pola Pir-Trans Desa Sungai Melayu Jaya Kalimantan Barat Tahun 1995-2021,” J. Ekon. dan Bisnis, vol. 2, no. 1, pp. 62–76, 2023.
[6] Y. Yu et al., “A bibliometric analysis using VOSviewer of publications on COVID-19,” Ann. Transl. Med., vol. 8, no. 13, p. 816, 2020.
[7] W. M. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, “How to conduct a bibliometric analysis: An overview and guidelines,” J. Bus. Res., no. 133, pp. 285–296, 2021.
[8] R. Ezama-Nicolás, “A Bibliometric Method for Assessing Technological Maturity: The Case of Additive Manufacturing,” Scientometrics, vol. 117, no. 3, pp. 1425–1452, 2018.
[9] Fernandes A. A. R., Solimun, and A. E, “Estimation of spline function in nonparametric path analysis based on penalized weighted least square (PWLS,” AIP Conf Proc, vol. 1913, no. 1, p. 020030, 2017, doi: doi: 10.1063/1.5016664.
[10] A. A. R. Fernandes and Solimun, “Moderating effects orientation and innovation strategy on the effect of uncertainty on the performance of business environment,” J. Law Manag., vol. 59, no. 6, pp. 1211–1219.
[11] A. Iriany and A. A. R. Fernandes, “Hybrid Fourier series and smoothing spline path non-parametrics estimation model,” Front. Appl. Math. Stat., vol. 8, no. M, 2023, doi: 10.3389/fams.2022.1045098.
[12] Solimun, A. A. R. Fernandes, and Nurjannah, Metode Statistika Multivariat Pemodelan Persamaan Struktural (SEM) Pendekatan WarpPLS. Malang: UB Press, 2017.
[13] Solimun, Multivariate Analysis–Structural Equation Modelling (SEM) Lisrel dan Amos. Malang: UM Press, 2002.
[14] A. A. R. Fernandes, Solimun, and H. B, “Comparison of use of linkage in integrated cluster with discriminal analysis approach,” Int J Adv Sci Technol, vol. 29, no. 3, pp. 5654–5668, 2020.
[15] D. Chicco, M. J. Warrens, and G. Jurman, “he coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation,” Peerj Comput. Sci., vol. 7, p. e623, 2021.
[16] R. Rodríguez Sánchez, A. Salmerón Gómez and C. García, “The coefficient of determination in the ridge regression,” Commun. Stat. Comput., vol. 51, no. 1, pp. 201–219, 2022.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Jurnal Matematika, Statistika dan Komputasi

This work is licensed under a Creative Commons Attribution 4.0 International License.

This work is licensed under a Creative Commons Attribution 4.0 International License.
Jurnal Matematika, Statistika dan Komputasi is an Open Access journal, all articles are distributed under the terms of the Creative Commons Attribution License, allowing third parties to copy and redistribute the material in any medium or format, transform, and build upon the material, provided the original work is properly cited and states its license. This license allows authors and readers to use all articles, data sets, graphics and appendices in data mining applications, search engines, web sites, blogs and other platforms by providing appropriate reference.




