Quotation Mendling, Jan, Weber, Ingo, Reijers, Hajo A., Hull, Richard, Decker, Gero. 2018. How do Machine Learning, Robotic Process Automation, and Blockchains Affect the Human Factor in Business Process Management? Communications of the Association for Information Systems (CAIS). 43 297-320.


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Abstract

This paper summarizes a panel discussion at the 15th International Conference on Business Process Management. The panel discussed to what extent the emergence of recent technologies including machine learning, robotic process automation, and blockchain will reduce the human factor in business process management. The panel discussion took place on 14 September, 2017, at the Universitat Politècnica de Catalunya in Barcelona, Spain. Jan Mendling served as a chair; Gero Decker, Richard Hull, Hajo Reijers, and Ingo Weber participated as panelists. The discussions emphasized the impact of emerging technologies at the task level and the coordination level. The major challenges that the panel identified relate to employment, technology acceptance, ethics, customer experience, job design, social integration, and regulation.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Communications of the Association for Information Systems (CAIS)
WU-Journal-Rating new STRAT-C
Language English
Title How do Machine Learning, Robotic Process Automation, and Blockchains Affect the Human Factor in Business Process Management?
Volume 43
Year 2018
Page from 297
Page to 320
DOI http://dx.doi.org/10.17705/1CAIS.04319
Open Access Y
Open Access Link http://epub.wu.ac.at/id/eprint/6557

Associations

People
Mendling, Jan (Details)
External
Decker, Gero (Signavio, Germany)
Hull, Richard (IBM Research, United States/USA)
Reijers, Hajo A. (Vrije Universiteit Amsterdam, Netherlands)
Weber, Ingo (Data61, CSIRO, Australia)
Organization
Applied Information Technology with Focus on IT in Organization (Details)
Competence Center for Sustainability Transformation and Responsibility WE (Details)
Research Institute for Cryptoeconomics FI (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
5367 Management information systems (Details)
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