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http://dx.doi.org/10.18807/jsrs.2020.10.2.017

Data Conversion Automation Tool based on Repository and Processes  

Heo, Min Seok (CSLEE Consulting, Dept. of consulting headquarters)
Kim, Dong Soo (Konkuk University, Graduate school of information communication)
Kim, Hee Wan (Sahmyook University, Division of Computer Engineering)
Publication Information
Journal of Service Research and Studies / v.10, no.2, 2020 , pp. 17-29 More about this Journal
Abstract
This study was performed to derive a modern service management model reflecting the philosophy of the new business administration. Service management as the modern business administration should be faithful to the spirit of modernity. In addition, service management must be faithful to the essence of service in service economy era. And since modern management is to manage organizations those are the central organizations of human society, it must be managed according to the common principles of the world. Management that satisfies these three management philosophy conditions is defined as modern service management. In this study, we analyzed that the existing service management framework does not meet these standards of modern management and derived an improved modern service management model. The modern service management model must be a management model that reflects the essence of intangible goods called service, it must be a management framework that reflects the modern spirit, and it must be a management model that reflects the common principles of the world required by the central organization of the modern economic society. Therefore, this study analyzed the modern spirit in addition to the service essence and the common principle of the world analyzed in the previous study, and presented a modern service management model with these three requirements. Also, examples of modern service management were presented. This study is a conceptual model, and analytical research is needed to demonstrate that this management model can consistently produce excellent management performance by strengthening empirical studies in the future.
Keywords
data consistency; data conversion; repository; process; automation tool;
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