Study on the Development and Use of E-commerce in the Special Region of Yogyakarta with De Lone and Mc. Lean IS Success Model


  • Daniel Kairupan Sekolah Tinggi Ilmu Ekonomi YKPN Yogyakarta
  • Rudy Badrudin Sekolah Tinggi Ilmu Ekonomi YKPN Yogyakarta
  • Yakobu Aminu Dodo Istanbul Gelisim University Turkey



e-commerce, digital economy, information system


The high growth of e-commerce in Indonesia is influenced by several things. Because of changes in people's behavior and the advancement of the quality of information and the quality of services. This includes the Special Region of Yogyakarta (DIY), which is one of the areas with the highest level of e-commerce service users in Indonesia.

This research was conducted to study the development and use of e-commerce in the Special Region of Yogyakarta (DIY). This needs to be done because even though DIY is one of the areas with the highest level of e-commerce service users in Indonesia, the level of e-commerce business activity in Indonesia, especially DIY, is still relatively new, so there are still many shortcomings in its implementation.

Researchers use e-commerce metrics suggested by DeLone and Mc.Lean (2004) as the foundation of the instrument. Research data processing using Smart Partial Least Square (Smart-PLS) 3.0. The analytical model used in this study is a structural equation model (SEM) and inductive analysis using goodness of fit model (inner model) research which serves to determine the suitability of a model used in this study.

From the data processing that has been done, there are 2 independent variables that have no significant effect on the dependent variable. From this finding it is expected that companies engaged in e-commerce services can focus on achieving net benefits by paying attention to several variables that have a significant influence. The findings of this study also support several previous studies that have been tested previously.


Angelina, Ruth Johana., Hermawan, Aji., & Suroso, Ari Imam. (2019). Analyzing E-Commerce Success using DeLone and McLean Model. Journal of Information Systems Engineering and Business Intelligence, Vol. 5, No. 2.

Bukht, Rumana. & Heeks, Richard. (2018). Defining, Conceptualising, and Measuring the Digital Economy. International Organisations Research Journal, 13(2): 143-172. DOI: 10.17323/1996-7845-2018-02-07

Chin, Wynne W. & Newstead, P.R. (1999). Structural Equation Modeling Analysis with Small Samples Using Partial Least Squares, Statistical Strategies for Small Sample Research, ed. Marcoulides, G. A., Lawrence Erlbraum Associates, Inc., Mahwah-NJ, pp. 295-336.

Chong, Hyonsong., Cates, Dewayne., & Rauniar, Rupak. (2010). Validity of Delone and Mclean’s E-Commerce Model in the B2C Student Loan Industry. Journal of International Technology and Information Management, Vol. 19 (1), Article 3.

Dorobâț. (2014). Models for Measuring E-Learning Success in Universities: A Literature Review. Informatica Economicá, Vol. 18, No. 3. DOI: 10.12948/issn14531305/18.3.2014.07

Delone, William. & McLean, Ephraim. (2004). Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model. International Journal of Electronic Commerce, 9:1, 31-47.

Faruq, Nabil S. A. (2021). Pasar Digital Indonesia Menarik di Asia Tenggara. Berita Satu. Retrieved July 15, 2021, from

Hair, et. al., (2014). Multivariate Data Analysis, Fifth Edition, Prentice-Hall, Upper Saddle River, New Jersey.

Kontolaimou, Alexandra. & Skintzi, Georgia. (2020). Developments in the adoption of Information and Communication Technologies and e-commerce practices in Greek firms: The regional dimension. KEEP: Centre of Planning and Economic Research, Greek Economic Outlook, issue 41, pp. 91-100

Kumar, Prabhakar., Kumar, Rahul., Singh, Rajat. & Singh, Vikram Pratap. (2014). Library management system, Kochi (unpublished dissertation submitted to the school of computer engineering, Cochin university of science & technology Kochi). p. 7

Kotler, Philip. & Keller, Kevin Lane. (2016). Marketing Management, 15th Ed, Pearson Education, Inc.

Laudon, Kenneth C. & Laudon, Jane P. (2014). Management Information Systems: Managing the Digital Firm, 13th Ed, Pearson Education Limited, New York University – United States of America.

Marjanović, Vladislav., Milovanĉević, Miloś. & Mladenovic, Igor. (2016). Prediction of GDP Growth Rate Based on Carbo Dioxide (CO2) Emissions. Journal of CO2 Utilization 16:212-217. DOI: 10.1016/j.jcou.2016.07.009

Ong, E. T. & Ruthven, K. (2009). The Effectiveness of Smart Schooling on Students Attitude Towards Science. Eurasia Journal of Science, Mathematics & Technology Education, 5(1), 35-45.

Putri, Wilda Kurnia. & Pujani, Vera. (2019). The influence of system quality, information quality, e-service quality, and perceived value on Shopee consumer loyalty in Padang City. The International Technology Management Review, Vol 8(1), 165-176, ISSN: 2213-7149.

Sekaran, Uma. & Bougie, Roger. (2016). Research Methods for Business: A Skill-Building Approach. 7th Edition, Wiley & Sons, West Sussex.

Sharma, Gajendra. & Lijuan, Sharma. (2015). The effects of online service quality of e-commerce Websites on user satisfaction. The Electronic Library, 33(3):468-485.

Wu, Jen-Her. & Wang, Yu-Min. (2006). Measuring KMS Success: A Respecification of the DeLone and McLean’s Model. Journal of Information and Management, 43, 728-739.

Yandi, Deri Rahma. & Septrizola, Whyosi. (2019). Pengaruh Kualitas Informasi, Kualitas Sistem, dan Kualitas Layanan Terhadap Minat Beli Ulang Pengguna E-Commerce Situs dengan Kepuasan Sebagai Variabel Intervening pada Masyarakat Kota Padang. Jurnal Kajian Manajemen dan Wirausaha, 1(3). DOI: 10.24036/jkmw0279010

Zimmermann, Hans-Dieter. (2000). Understanding the Digital Economy: Challenges for New Business Models. SSRN Electronic Journal. DOI: 10.2139/ssrn/2566095