Structural equation modeling (SEM) analysis based on UTAUT2 theory on e-commerce adoption

Authors

Widya Reza , Faradiba Jabnabillah

DOI:

10.29303/jpm.v18i2.4804

Published:

2023-03-31

Issue:

Vol. 18 No. 2 (2023): March 2023

Keywords:

SEM, E-Commerce, UTAUT2

Articles

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How to Cite

Reza, W. ., & Jabnabillah, F. . (2023). Structural equation modeling (SEM) analysis based on UTAUT2 theory on e-commerce adoption. Jurnal Pijar Mipa, 18(2), 284–289. https://doi.org/10.29303/jpm.v18i2.4804

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Abstract

E-commerce adoption with the UTAUT 2 model is a complex and multidimensional issue that connects multiple dimensions. A statistical method that can explain the relationship between one latent variable and another variable is Structural Equation Modeling (SEM). This study aims to create a structural model of e-commerce adoption using SEM based on indicators in the UTAUT2 theory. The data used in this study is primary data obtained through a survey of MSME actors in Batam City using a questionnaire with the purposive sampling method. The sample used was 200 MSMEs. The analysis results show that the  value on the Behavioral Intention variable was 88.6%, and the Use Behavior variable was 76.8%.  value of 97.4% indicates that the exogenous latent variable strongly affects the endogenous latent variable. The goodness of the fit value suggests that the SEM model in this study can explain empirical data or field data by 83%. The hypothesis testing results are that Behavioral intention significantly affects effort expectancy, facilitating condition, performance expectancy, and price value. Related to indirect effect, variables that affect user behavior through behavioral intention are significantly the variables of effort expectancy, facilitating condition, habit, performance expectancy, and price value.

References

Viloria, A., Lezama, O. B. P., & Mercado, N. (2019). Model and Simulation of Structural Equation for Determinating the Student Satisfaction. Procedia Computer Science, 160, 527–531.

Edi Riadi. (2016). Statistik SEM - Structural Equation Modeling dengan Lisrel (E. Kurnia (ed.); 1st ed.). Andi.

Wong, K. K. (2013). Partial Least Squares Structural Equation Modeling (PLSSEM) Techniques Using SmartPLS. Marketing Bulletin, 24(1), 1–32.

Marliana, R. R. (2019). Partial Least Square-Structural Equation Modeling Pada Hubungan Antara Tingkat Kepuasan Mahasiswa Dan Kualitas Google Classroom Berdasarkan Metode Webqual 4.0. J. Mat. Stat. dan Komputasi, 16(2), 174-183.

Asyraf, M., & B. W. Afthanorhan. (2013). A Comparison of Partial Least Square Structural Equation Modeling (PLS-SEM) and Covariance Based Structural Equation Modeling (CB-SEM) for Confirmatory Factor Analysis. International Journal of Engineering Science and Innovative Technologies (IJESIT), 2(5), 198–205.

Ringle, et al. (2018). Partial least squares structural equation modeling in HRM research. The International Journal of Human Resource Management, 51(92), 1–27.

Wong, K. K. (2013). Partial Least Squares Structural Equation Modeling (PLSSEM) Techniques Using SmartPLS. Marketing Bulletin, 24(1), 1–32.

Sarstedt, et al. (2014). PLS-SEM: Looking Back and Moving Forward. Long Range Planning, 47(3), 132–137.

Subiyakto, A., & A. R. Ahlan. (2014). Implementation of Input-Process-Output Model for Measuring Information System Project Success. TELKOMNIKA Indonesian Journal of Electrical Engineering, 12(7), 5603–5612.

Leguina A. (2015). A primer on partial least squares structural equation modeling (PLS-SEM). Int J Res Method Educ, 38(2), 220–1.

Wardhani NWS, Nugroho WH, Fernandes AAR, Solimun. (2020). Structural equation modeling (SEM) analysis with warppls approach based on the theory of planned behavior (TPB). Math Stat., 8(3), 311–22

M. Hair, J. F., Hult, G. T. M., Ringle,C. M., & Sarstedt. (2013). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks, 23(12), 165-171.

Faizah R. (2020). Kontribusi Ecommerce Terhadap Kegiatan Umkm Diy Di Masa Pandemi Covid 19. Relawan J Indones, 1(1).

Liu, W., Guillet, B. D., Xiao, Q., & Law, R. (2014). Globalization or localization of consumer preferences: The case of hotel room booking. Tourism Management, 41(2), 148-157.

Piarna R, Fathurohman F. (2020). Adopsi E-Commerce Oleh Konsumen Milenial Pada Produk Umkm E-Commerce Adoption By Millenial Consumers on Umkm Products in Subang City Using Utaut Model in Consumer Contex. J Teknol Inf dan Ilmu Komput, 7(5), 1021–8.

Jogiyanto. (2011). Konsep dan Aplikasi Structural Equation Modeling (SEM) Berbasis Varians dalam Penelitian Bisnis. STIM YKPN, Yogyakarta.

Solimun, Fernandes, A. A. R. and Nurjannah. (2017). Metode Statistika Multivariat: Pemodelan Persamaan Structural (SEM) Pendekatan WarpPLS. Malang: UB Press.

Hassneen, E., El-Abbasi, A. H., Khalifa, M., & Shoaeb, F. (2019). Using a two-level structural equation model to study the determinants of reproductive behaviour in Giza Governorate. Egyptian Informatics Journal, 20(2), 143–150.

Hermanto, K., Suarantalla, R., Utami, S. F., & Sudirman. (2020). Application of SEM in analyzing student satisfaction with administrative services. Journal of Physics: Conference Series, 1663(1), 1–8.

Viloria, A., Lezama, O. B. P., & Mercado, N. (2019). Model and simulation of structural equations for determining the student satisfaction. Procedia Computer Science, 160, 527– 531.

Jirangkul, W. (2020). Structural equation modeling of best practice-based high-performance public organizations in Thailand. Kasetsart Journal of Social Sciences, 41(1), 124–129.

Author Biographies

Widya Reza, Institut Teknologi Batam

Faradiba Jabnabillah, Department of Mathematics, Faculty of Information Technology, Institut Teknologi Batam

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Copyright (c) 2023 Widya Reza, Faradiba Jabnabillah

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