Is Robotic Process Automation Becoming Intelligent? Early Evidence of Influences of Artificial Intelligence on Robotic Process Automation

被引:8
作者
Viehhauser, Johannes [1 ]
机构
[1] Tech Univ Munich, Arcisstr 21, D-80335 Munich, Germany
来源
BUSINESS PROCESS MANAGEMENT: BLOCKCHAIN AND ROBOTIC PROCESS AUTOMATION FORUM, BPM 2020 BLOCKCHAIN AND RPA FORUM | 2020年 / 393卷
关键词
Robotic Process Automation; Artificial Intelligence; Cognitive intelligence; Machine Learning; Intelligent Process; Automation;
D O I
10.1007/978-3-030-58779-6_7
中图分类号
F [经济];
学科分类号
02 ;
摘要
Advances in Artificial Intelligence (AI) are changing the nature of work and enable the increasing automation of tasks. The trend around AI technologies has also reached Robotic Process Automation (RPA). To date, RPA is known as a software solution that performs simple and routine tasks based on clearly defined rules. However, past research indicates that through the application of AI and Machine Learning technologies, RPA is starting to get "smart" by including intelligent features. Since little is known about the capabilities of intelligent RPA in academia, this paper examines how AI impacts the capabilities and applicability of RPA. Based on case studies with global RPA software providers and RPA integrators, evidence for cognitive capabilities within RPA is examined within the boundaries of a definition of cognitive intelligence. The paper also discusses the general necessity for cognitive intelligence within RPA software.
引用
收藏
页码:101 / 115
页数:15
相关论文
共 25 条
[11]   Robotic process automation [J].
Hofmann, Peter ;
Samp, Caroline ;
Urbach, Nils .
ELECTRONIC MARKETS, 2020, 30 (01) :99-106
[12]   Artificial Intelligence in Service [J].
Huang, Ming-Hui ;
Rust, Roland T. .
JOURNAL OF SERVICE RESEARCH, 2018, 21 (02) :155-172
[13]   Siri, Siri, in my hand: Who's the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence [J].
Kaplan, Andreas ;
Haenlein, Michael .
BUSINESS HORIZONS, 2019, 62 (01) :15-25
[14]   Early evidence of digital labor in accounting: Innovation with Robotic Process Automation [J].
Kokina, Julia ;
Blanchette, Shay .
INTERNATIONAL JOURNAL OF ACCOUNTING INFORMATION SYSTEMS, 2019, 35
[15]  
Lacity MC, 2016, MIS Q EXEC, V15, P21
[16]   Cognitive Computing [J].
Modha, Dharmendra S. ;
Ananthanarayanan, Rajagopal ;
Esser, Steven K. ;
Ndirango, Anthony ;
Sherbondy, Anthony J. ;
Singh, Raghavendra .
COMMUNICATIONS OF THE ACM, 2011, 54 (08) :62-71
[17]   Studying Information Technology in Organizations: Research Approaches and Assumptions [J].
Orlikowski, Wanda J. ;
Baroudi, Jack J. .
INFORMATION SYSTEMS RESEARCH, 1991, 2 (01) :1-28
[18]  
Penttinen E., 2018, P EUR C INF SYST ECI
[19]  
Plattfaut R, 2019, 40 INT C INF SYST MU
[20]   7 LAYERS OF KNOWLEDGE REPRESENTATION AND REASONING IN SUPPORT OF SOFTWARE-DEVELOPMENT [J].
RICH, C ;
FELDMAN, YA .
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 1992, 18 (06) :451-469