Case Study on the Application of Robot Process Automation Technology to Public Institutions 


Vol. 43,  No. 9, pp. 1517-1524, Sep.  2018
10.7840/kics.2018.43.9.1517


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  Abstract

There is a need to respond to the government"s shortened 52-hour work, the low birth rate and the aging of the labor force in the long term. Especially in public institutions, there is a problem of both sides of coin of service improvement and labor saving. Robot process automation(RPA) is a technique for reducing labor and improving work productivity. We compare the Data Base(DB) input data in Korea with accuracy, efficiency, speed, and economy. We compared the labor force and efficiency of the elderly welfare manager web site input system design using RPA the existing DB direct input method and application, existing DB indirect input method and application, and DB automatic input method using RPA. In addition, we analyzed the efficiency of RPA technology and the reduction of labor force by analyzing DB administrator for introduction of RPA and introduction analysis of DB input system of RPA. This study can be used as a basic data for applying RPA to public institutions.

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  Cite this article

[IEEE Style]

S. Yang and D. Park, "Case Study on the Application of Robot Process Automation Technology to Public Institutions," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 9, pp. 1517-1524, 2018. DOI: 10.7840/kics.2018.43.9.1517.

[ACM Style]

Sung-Yong Yang and Dea-Woo Park. 2018. Case Study on the Application of Robot Process Automation Technology to Public Institutions. The Journal of Korean Institute of Communications and Information Sciences, 43, 9, (2018), 1517-1524. DOI: 10.7840/kics.2018.43.9.1517.

[KICS Style]

Sung-Yong Yang and Dea-Woo Park, "Case Study on the Application of Robot Process Automation Technology to Public Institutions," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 9, pp. 1517-1524, 9. 2018. (https://doi.org/10.7840/kics.2018.43.9.1517)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880