Patrick Meyer, M. Sc.
Patrick Meyer graduated from Friedrich-Alexander University Erlangen-Nürnberg and Sungkyunkwan University, South Korea in 2017 with a Master of Science in Industrial Engineering. During his master studies, he focused on mechanical engineering and management and supported the Chair of Information Systems – Innovation & Value Creation as a student assistant in the research field of Industrie 4.0. Prior he graduated from University of Applied Sciences Hof and National University, USA in Industrial Engineering (B.Eng.) with focus on mechanical engineering and information systems as part of a dual-study program in cooperation with KSB AG.
Since October 2017 he is working as a consultant at elaboratum GmbH in Munich and as a research associate / PhD candidate at the Chair of Information Systems – Innovation & Value Creation. His research focuses on the integration of service robots into service systems. Meyer aims to reveal aspects of key stakeholders’ acceptance of and resistance to service robots from a service systems perspective and to develop management solutions for (re-) designing service systems to effectively incorporate service robots into stationary retail operators.
Humanoide Serviceroboter am PoS: Eine akzeptanzanalytische Untersuchung neuer Formen der Kundeninteraktion
In: Marketing Review St. Gallen 35 (2018), p. 18-25
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Frontline Employees' Acceptance of and Resistance to Service Robots in Stationary Retail - An Exploratory Interview Study
In: Journal of Service Management Research 4 (2020), p. 21-34
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Frontline employees’ acceptance of and resistance to service robots in stationary retail - an exploratory interview study
19th Conference of the European Academy of Management (EURAM) (Lisboa, 26. June 2019 - 28. June 2019)
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Exploring Customers' Acceptance of and Resistance to Service Robots in Stationary Retail - a Mixed Method Approach
28th European Conference on Information Systems (ECIS 2020) (Marrakesch, 15. June 2020 - 17. June 2020)
In: ECIS 2020 Research Papers (ed.): ECIS 2020 Research Papers 2020
Open Access: https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1008&context=ecis2020_rp
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