Robotic Process Automation in purchasing and supply management: A multiple case study on potentials, barriers, and implementation

被引:55
|
作者
Flechsig, Christian [1 ]
Anslinger, Franziska [1 ]
Lasch, Rainer [1 ]
机构
[1] Tech Univ Dresden, Chair Business Management, Esp Logist, Munchner Pl 3, D-01187 Dresden, Germany
基金
欧盟地平线“2020”;
关键词
Robotic process automation; Digital procurement; Implementation; Barriers; Digital readiness; Public sector; BIG DATA ANALYTICS; E-PROCUREMENT; OPPORTUNITIES; INFORMATION;
D O I
10.1016/j.pursup.2021.100718
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Robotic Process Automation (RPA) has received growing attention within the digital transformation as this cutting-edge technology automates human behavior and promises high potentials. However, the adoption in purchasing and supply management (PSM) is still in its infancy and has hardly been explored, particularly in the public sector. Based on a multiple case study including 19 organizations of the public and private sector, this paper narrows that gap and presents comprehensive insights into potentials, barriers, suitable processes, and best practices and components for RPA implementation. The findings indicate that adoption depends on the orga-nizations' digital procurement readiness and maturity. Application areas of RPA enlarge with increasing expe-rience and range from transactional and operative tasks within the procure-to-pay process to more strategic use cases in sourcing and supply relationship management. Potentials mainly comprise employee reliefs, cost sav-ings, and increased operational efficiency and quality. We uncover multiple technical, organizational, and environmental barriers related to IT infrastructure and human resources, internal communication, financial resources, top management support, organizational structures, supplier-related issues, and government regula-tions. Furthermore, our study indicates several differences between the private and public sectors for RPA implementation. We outline implications for the emerging research on RPA and pivotal directions for organi-zational practice.
引用
收藏
页数:21
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