Analysis of E-Marketplace Use in East Java’s MSMEs Using the Technology Acceptance Model Approach

Abstract

The e-commerce industry has the potential to be one of the drivers of the domestic economy. One of the impacts of the advancement of e-commerce is the emergence of many online-based marketplaces or so-called e-marketplaces. However, a lot of these online marketplaces sell 90% imported products. In addition, the outbreak of Covid-19 in Indonesia has prompted the government to establish several policies that have significantly reduced MSME performance by up to 70-100%. This study aimed to provide an empirical analysis of the influence of factors based on the Technology of Acceptance Model (TAM) approach, namely e-marketplace self-efficacy, complexity, perceived usefulness, perceived ease of use, attitude towards using, behavioral intention to use, and actual technology use in e-marketplaces. The sample consisted of MSMEs in East Java, especially those engaged in the food and beverage industry sector with ready-to-eat processed food products whose business activities use the Shopee e-marketplace application platform. This is an online shopping marketplace focused on mobile platforms. There were 150 respondents. The Structural Equation Model (SEM) was used. E-marketplace self-efficacy, complexity, perceived usefulness, perceived ease of use, attitude towards using, behavioral intention to use, and actual technology use in e-marketplaces all had positive effects on each other. This showed that a system that offers convenience will improve behavior, habits, and performance for MSMEs in using e-marketplace activities. The theoretical and methodological implications and opportunities for further research are discussed.


Keywords: MSMEs, e-marketplace, technology acceptance model

References
[1] Jogiyanto, H. M. (2008). Sistem Informasi Keperilakuan. Yogyakarta: Penerbit ANDI.

[2] Lee, K. A. and Larsen, K. R. T. (2003). The Technology Acceptance Model Past, Present, Future. Communication of The Association for Information System (CAIS), vol. 12, issue 1, pp. 752-780.

[3] Rogers, E. M. (1995). Diffusion of Innovations (4th ed.). New York: The Free Press.

[4] Sidharta, I. and Sidh, R. (2014). Pengukuran Persepsi Manfaat dan Persepsi Kemudahan terhadap Sikap serta dampaknya atas penggunaan ulang online shopping pada e- Commerce. Journal Computech and Bisnis, vol. 8, issue 2, pp. 92–100.

[5] Cooper, D. R. and Schindler, P. S. (2003). Business Research Methods (7th ed.). NY: McGraw- Hill.

[6] Ghozali, I. and Fuad. 2005. Struktural Equation Modelling. Semarang: Badan Penerbit Universitas Diponegoro.

[7] Sekaran, U. (2000). Research Methods for business: A Skill Building Approach. Singapore: John Wiley & Sons, Inc.

[8] Ghozali, I. and Fuad. (2005). Struktural Equation Modelling. Semarang: Badan Penerbit Universitas Diponegoro.

[9] Ferdinand, A. (2005). Structural Equation Modeling Dalam Penelitian Manajemen:Aplikasi ModelModel Rumit Dalam Penelitian Untuk Tesis Magister Dan Disertasi Doktor (3rd ed). Semarang: Badan Penerbit Universitas Diponegoro.

[10] Sugiyono, S. (2011). Metode Penelitian Kuantitatif, Kualitatif dan R&D. Bandung: Afabeta.

[11] Malhotra, N. K. and Birks, D. F. (2007). Marketing Research: An Applied Approach. London: Pearson Education.

[12] Amani, F. A. dan Waluyo, I. (2016). Pengaruh Ukuran Perusahaan, Profitabilitas, Opini Audit dan Umur Perusahaan terhadap Audit Delay. Jurnal Nominal, vol. 5, issue 1, pp. 135-150