User Satisfaction Affecting Factors in the Online Trading Systems
Wahyu Sardjono1, Muhammad Savin2
1Wahyu Sardjono, Information Systems Management Department, BINUS Graduate Program – Master of Information Systems Management, Bina Nusantara University, Jakarta, Indonesia.
2Muhammad Savin, Student of Master of Management Information Systems, Bina Nusantara University, Jakarta, Indonesia.
Manuscript received on November 15, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on November 30, 2019. | PP: 639-642 | Volume-8 Issue-4, November 2019. | Retrieval Number: C4118098319/2019©BEIESP | DOI: 10.35940/ijrte.C4118.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The purpose of this paper is to show how to find a new factor model that affects the satisfaction of online trading system users which is done by analyzing the factors in finding the factors that most influence the online user satisfaction system trading. of the 8 variables that have been determined namely System Quality, Service Quality, Information Quality, Intended use, User Satisfaction, Interface Quality, Performance Quality, and Function Quality which are the basic concepts of the underlying theory. The technique for processing data begins with building a research instrument by constructing and following up on existing concepts and breaking them down into factors that exist in the theory. Through the distribution of questionnaires to obtain primary data, then the data is processed using factor analysis and a number of new factors are obtained, namely application system features, information and knowledge, and comfortable to use that affect the satisfaction of users of online trading systems. It is hoped that this model can help organizational management to improve services better and find out what is desired from users of online trading systems.
Keywords: Factor Analysis, Online Trading System, Application Systems Feature, User Satisfaction.
Scope of the Article: Big Data Analytics Application Systems.