Development of Evaluation Criteria for Robotic Process Automation (RPA) Solution Selection

Author:

Kim Seung-Hee1ORCID

Affiliation:

1. Department of IT Convergence Software Engineering, Korea University of Technology & Education (KOREATECH), 1600, Chungjeol-ro, Dongnam-gu, Cheonan-si 31253, Chungcheongnam-do, Republic of Korea

Abstract

When introducing a robotic process automation (RPA) solution for business automation, selecting an RPA solution that is suitable for the automation target and goals is extremely difficult for customers. One reason for this difficulty is that standardised evaluation items and indicators that can support the evaluation of RPA have not been defined. The broad extension of RPA is still in its infancy and only a few studies have been conducted on this subject. In this study, an evaluation breakdown structure for RPA selection was developed by deriving evaluation items from prior studies related to RPA selection and a feasibility study was conducted. Consequently, a questionnaire was administered three times, and the coefficients of variation, content validity, consensus, and convergence of factors and criteria were measured from the survey results. All of these measurement results are reflected in the final suitability value that was calculated to verify the stability of the evaluation system and evaluation criteria indicators. This study is the first to develop an RPA solution selection evaluation standard and the proposed evaluation breakdown structure provides useful evaluation criteria and a checklist for successful RPA application and introduction.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference50 articles.

1. The future digital work force: Robotic process automation (RPA);Madakam;JISTEM-J. Inf. Syst. Technol. Manag.,2019

2. A study of convergence technology in robotic process automation for task automation;Kim;J. Converg. Inf. Technol. (JCIT),2019

3. (2020, April 06). Dossier: The Choice of Leading Companies RPA, How to Choose It Well, and Use It Well. IBM Korea. Available online: https://www.ibm.com/downloads/cas/RRX5GWY1.

4. Robotic process automation and artificial intelligence in industry 4.0-A literature review;Ribeiro;Procedia Comput. Sci.,2021

5. Robotic process automation;Bichler;Bus. Inf. Syst. Eng.,2018

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3