Analysis of Variables Affecting Customer Satisfaction Using Online Food Purchase Services with Multiple Linear Regression

Authors

  • Fuji Rahayu Wilujeng Universitas Bunda Mulia

DOI:

https://doi.org/10.33086/atcsj.v6i1.3985

Keywords:

Customer Satisfaction, Customer Services, Service Quality, Linear Regression

Abstract

The surge in popularity of online food delivery services across Southeast Asia is undeniable. Remarkably, in the year 2020, Indonesia emerged as the frontrunner in Gross Merchandise Value (GMV) for such services in the region, amassing an impressive GMV of $3.7 billion, surpassing its regional counterparts. This burgeoning trend is underpinned by a multitude of factors motivating individuals to embrace online food purchases, including time efficiency, an array of enticing and pragmatic offers, and an abundance of choices. Building upon this backdrop, this research endeavors to delve into the intricate web of variables that wield influence over consumer satisfaction within the realm of online food procurement. Employing the multifaceted approach of multiple linear regression, the study aims to uncover the mechanisms that underlie this pivotal relationship. The findings gleaned from this investigation are noteworthy. They highlight the substantial joint impact of the independent variables on the dependent variable. This assertion is substantiated by the remarkably minute significance value of F, which registers at an impressive 0.000, comfortably falling below the conventional threshold of 0.05. This statistical affirmation underscores the collective potency of the five dimensions of service quality, cohesively exerting a significant influence on the variable of customer satisfaction. Moreover, a granular examination of the individual impacts of each independent variable warrants’ attention, as gleaned from their respective 't' significance values. It is discernible that the variables of reliability and responsiveness, with significant values exceeding 0.005, exhibit limited individual impact on customer satisfaction. This discernment underscores that, when assessed in isolation, these two independent variables fail to manifest a statistically noteworthy effect on the overarching construct of customer contentment.

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References

Nielsen, “Pemesanan Makanan secara online makin digemari,” 2019. https://databoks.katadata.co.id/datapublish/2019/09/26/pemesanan-makanan-secara-online-makin-digemari (accessed Mar. 19, 2021).

Momentum Works, “Masa Depan Cerah Layanan Pesan Antar Makanan Daring Asia Tenggara.” https://databoks.katadata.co.id/datapublish/2021/02/01/masa-depan-cerah-layanan-pesan-antar-makanan-daring-asia-tenggara (accessed Mar. 19, 2021).

Momentum Works., “Indonesia Pasar Terbesar Layanan Pesan-Antar Makanan Daring di Asia Tenggara.” https://databoks.katadata.co.id/datapublish/2021/01/22/indonesia-pasar-terbesar-layanan-pesan-antar-makanan-daring-di-asia-tenggara (accessed Mar. 19, 2021).

Lembaga Demografi Fakultas dan Bisnis UI, “Survei Konsumen GOJEK 2020.” https://ldfebui.org/penelitian/ringkasan-penelitian/perubahan-perilaku konsumen-dalam-menggunakan-aplikasi-digital-sebelum-dan-selama-pandemi-covid-19/ (accessed Mar. 19, 2021).

F. Rahayu, D. Palullungan, and T. Regina, “Improving the Production Quality Processes at Bread SMEs in Jakarta,” Appl. Technol. Comput. Sci. J., vol. 4, no. 1, pp. 10–15, 2021.

Nielsen, “10 Alasan Membeli Makanan Secara Online,” 2019. https://databoks.katadata.co.id/datapublish/2019/09/19/10-alasan-membeli-makanan-secara-online.

P. Kotler and G. Amstrong, “Principles of Marketing. Edisi 15 Global Edition.” Pearson, 2018.

H. B. Dinitzen, Organisational theory. Hans Reitzels Forlag, 2010.

F. R. Wilujeng, G. D. Rembulan, D. Andreas, and H. Tannady, “Meningkatkan Kepuasan Pelanggan pada Dua Bisnis E-Commerce Terbesar di Indonesia dengan Menggunakan Analisis Servqual dan IPA,” Pros. Semnastek, 2019.

F. R. Wilujeng and R. Kusumo, “Analisis kepuasan tenaga kerja outsourcing terhadap pelayanan perusahaan dengan metode importance-performance analysis (IPA),” JIEMS (Journal Ind. Eng. Manag. Syst., vol. 11, no. 2, 2018.

J. Welc and P. J. R. Esquerdo, “Applied regression analysis for business,” Springer Books, 2018.

F. R. Wilujeng, “Faktor--Faktor yang Memengaruhi Optimalisasi Penangkapan Ikan dengan Metode Transformasi Box Cox pada Regresi Linier Berganda,” JIEMS (Journal Ind. Eng. Manag. Syst., vol. 11, no. 1, 2018.

G. W. Corder and D. I. Foreman, Nonparametric statistics: A step-by-step approach. John Wiley & Sons, 2014.

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Published

2023-06-30

How to Cite

Wilujeng, F. R. (2023). Analysis of Variables Affecting Customer Satisfaction Using Online Food Purchase Services with Multiple Linear Regression. Applied Technology and Computing Science Journal, 6(1), 11–21. https://doi.org/10.33086/atcsj.v6i1.3985

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Articles