TY - CHAP U1 - Konferenzveröffentlichung A1 - Schlegel, Dennis A1 - Kraus, Patrick ED - Vrontis, Demetris ED - Weber, Yaakov ED - Tsoukatos, Evangelos T1 - Robotic process automation as an emerging career opportunity: an analysis of required qualifications and skills T2 - Business theory and practice across industries and markets : proceedings of the 13th Annual Conference of the EuroMed Academy of Business, Palermo, Italy, September 09 - 10, 2020 N2 - The automation of work by means of disruptive technologies such as Artificial Intelligence (AI) and Robotic Process Automation (RPA) is currently intensely discussed in business practice and academia. Recent studies indicate that many tasks manually conducted by humans today will not in the future. In a similar vein, it is expected that new roles will emerge. The aim of this study is to analyze prospective employment opportunities in the context of RPA in order to foster our understanding of the pivotal qualifications, expertise and skills necessary to find an occupation in a completely changing world of work. This study is based on an explorative, content analysis of 119 job advertisements related to RPA in Germany. The data was collected from major German online job platforms, qualitatively coded, and subsequently analyzed quantitatively. The research indicates that there indeed are employment opportunities, especially in the consulting sector. The positions require different technological expertise such as specific programming languages and knowledge in statistics. The results of this study provide guidance for organizations and individuals on reskilling requirements for future employment. As many of the positions require profound IT expertise, the generally accepted perspective that existing employees affected by automation can be retrained to work in the emerging positions has to be seen extremely critical. This paper contributes to the body of knowledge by providing a novel perspective on the ongoing discussion of employment opportunities, and reskilling demands of the existing workforce in the context of recent technological developments and automation. KW - robotic process automation KW - future of work KW - digital labor KW - qualification KW - skills KW - employment KW - job advertisements KW - Germany Y1 - 2020 U6 - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-28158 UN - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-28158 UR - https://emrbi.org/wp-content/uploads/2020/10/EuroMed-13-2020.pdf SN - 978-9963-711-89-5 SB - 978-9963-711-89-5 SP - 1083 EP - 1097 S1 - 15 PB - EuroMed Press ER -