Journal of Applied Data Sciences
Vol 5, No 1: JANUARY 2024

Developing the Readiness and Success Model of Information System Implementation in the Indonesian Equestrian Industry

Ajang Sopandi (Department of Informatics Engineering, Faculty of Engineering, University of Muhammadiyah Tangerang, Indonesia)
Nor Adnan Yahaya (School of Computing, University Malaysia of Computer Science & Engineering, Selangor, Malaysia)
Aang Subiyakto (Department of Information Systems, Universitas Islam Negeri (UIN) Syarif Hidayatullah Jakarta)



Article Info

Publish Date
29 Jan 2024

Abstract

This study reports on the incorporation of technology readiness models in information system (IS) success models in the context of assessing readiness factors and the success of information system integration in the equestrian sports industry in Indonesia. As found in several information systems studies, many IS models are developed by adopting, combining, and adapting previous models. Researchers developed this model based on input-process-output logic and processional and causal models of information system success models. The developed model is structured by involving 12 variables and 62 indicators. The path of influence between variables is described by 30 links. In the research implementation stage, the model is also broken down into more detailed assessment instruments. Although these model development studies may have limitations on the assumptions used and the researchers' understanding, they can make theoretical contributions, particularly in terms of proposed new models. In addition, transparency in model development, proposed models, and data collection instruments may also be a practical consideration for advanced research in the context of readiness and successful implementation of information systems in the equestrian sports industry in Indonesia

Copyrights © 2024






Journal Info

Abbrev

JADS

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Description

One of the current hot topics in science is data: how can datasets be used in scientific and scholarly research in a more reliable, citable and accountable way? Data is of paramount importance to scientific progress, yet most research data remains private. Enhancing the transparency of the processes ...