Artificial intelligence (AI) integration in Unmanned Aerial Vehicle (UAV) operations has significantly advanced the field through increased autonomy. However, evaluating the critical aspects of these operations remains a challenge. In order to address this, the current study proposes the use of a combination of the 'Observe-Orient-Decide-Act (OODA)' loop and the 'Analytic Hierarchy Process (AHP)' method for evaluating AI-UAV systems. The integration of the OODA loop into AHP aims to assess and weigh the critical components of AI-UAV operations, including (i) perception, (ii) decision-making, and (iii) adaptation. The research compares the results of the AHP evaluation between different groups of UAV operators. The findings of this research identify areas for improvement in AI-UAV systems and guide the development of new technologies. In conclusion, this combined approach offers a comprehensive evaluation method for the current and future state of AI-UAV operations, focusing on operator group comparison.
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In recent years business process management (BPM) and specifically information systems that support the analysis, design and execution of processes (also called business process management systems (BPMS)) are getting more attention. This has lead to an increase in research on BPM and BPMS. However the research on BPMS is mostly focused on the architecture of the system and how to implement such systems. How to select a BPM system that fits the strategy and goals of a specific organization is largely ignored. In this paper we present a BPMS selection method, which is based on research into the criteria that are important for organizations, which are going to implement a BPMS.
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Many of today’s challenges that confront society are complex and dynamic and require new perspectives, new ways of looking at problems and issues, in order to be able to come to solutions that could not be found before. This process is called reframing and we suggest that one of the key stages in this process is thematic research, the search for themes that underlie these complex challenges. These themes generally turn out to be human themes, related to socio-emotional aspects of life. In this paper we report our experiences and lessons learned from a series of cases in which we experimented with various approaches to do this thematic research.
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