Copyright ©2021 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). Adoption of Automation Technologies in Public Organizations: The Perception of Healthcare Professionals in Greece Alexandra Daikou*, Ioanna Tamouridou**, Evangelos Kalampokis***, Konstantinos Tarabanis**** *424 Military Hospital, Thessaloniki, Greece, mhm19016@uom.edu.gr **University of Macedonia, Thessaloniki, Greece, mhm19031@uom.edu.gr ***Centre for Research & Technology - Hellas and University of Macedonia, Thessaloniki Greece, ekal@uom.gr ****Centre for Research & Technology - Hellas and University of Macedonia, Thessaloniki, Greece, kat@uom.edu.gr Abstract: The purpose of this study was to investigate the beliefs and perceptions of Greek healthcare professionals working in public hospitals about the new automation technologies in health services. Focus was placed on two representative examples, namely, the Automated Decision-Making and the Robotic Process Automation systems. Towards this goal, and in order to acquire a holistic viewpoint, we interviewed personnel from different positions, with different hierarchical duties and with variable working experience. Most of the participants were not aware of the two aforementioned technologies and, as a result, did not use any related tool in everyday practice. However, they were positive to be educated and trained in programs that specifically relate to their duties. The central criteria for adopting the new technology were the reduction in effort and time for accomplishing a work, the increase in reliability and efficiency as well as the lower levels of anxiety when a program could serve as a “checklist” add-on. Key issues, such as the improvement of the already available software to follow the modern systems and the initiation of educational programs to address the “electronic illiteracy” of the staff were emphasized. Finally, concerns about the implementation of these technologies were expressed, such as the potential lack of trust from patients to healthcare professionals, the complacency of younger colleagues and the low applicability of these tools in cases of manual work or dynamic conditions. Keywords: Information Systems Adoption, Artificial Intelligence, Automated Decision-Making, Robotic Process Automation, Health Care Acknowledgements: This publication has been produced in the context of the EU H2020 Project inGOV which is co-funded by the European Commission under the Grant agreement ID: 962563.