Design and Develop Artifact for Integrating with ERP and ECS Based on Design Science
Yung-Yu Lin, Yukari Nagai, Tzu-Hang Chiang, Hua-Ko Chiang
Abstract
Yung-Yu Lin, Yukari Nagai, Tzu-Hang Chiang, Hua-Ko Chiang
Abstract
From past studies about ERP, most researchers pay more attention to before or during implementing, only a few studies have investigated the situation after ERP implementation. Also, there are no practical results explored. Some researchers pointed out that communication and cooperation in the ERP system are important factors for improving performance in the post-implementation. Design Science focuses not only on a heretofore unsolved and important business problem but also creates artifacts to serve human purposes. In this paper, we show the post-implementation process between ERP and ECS through Design Science and go through the context model, activity diagram, sequence diagram of the Software Engineering to prove it is a systematic approach. Finally, we use metrics of Cyclomatic complexity and Halstead complexity to measure our artifact and give explanations and suggestions based on the measurement results.
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From past studies about ERP, most researchers pay more attention to before or during implementing, only a few studies have investigated the situation after ERP implementation. Also, there are no practical results explored. Some researchers pointed out that communication and cooperation in the ERP system are important factors for improving performance in the post-implementation. Design Science focuses not only on a heretofore unsolved and important business problem but also creates artifacts to serve human purposes. In this paper, we show the post-implementation process between ERP and ECS through Design Science and go through the context model, activity diagram, sequence diagram of the Software Engineering to prove it is a systematic approach. Finally, we use metrics of Cyclomatic complexity and Halstead complexity to measure our artifact and give explanations and suggestions based on the measurement results.
Key concepts: Artifact (error), Computer science, Design science research, Design science, Context (archaeology), Sequence diagram, Process (computing), Software engineering