Abstract
Abstract Artificial Intelligence (AI) systems are rapidly evolving and becoming more common in management. Managers in business institutions are faced with the decision taking challenges and large amounts of data to be processed combining and harmonizing rational data with creative human experience in decision making. The aim of the study is to reveal the main obstacles of the harmonization of creative and rational decisions making in quality management using AI technologies in the Quality Management System (QMS). The first section presents a literature review of approaches and trends related to AI technology usage in organisations for data processing and creative-rational decision making, rational and creative quality management decision making and paradigms in decision harmonization. The Main Results section presents practical analysis and testing experience of automated AI Quality Management System developed at a higher education institution. During the analysis, an interview method was applied to find out specific system implementation issues. In the last section, the main analysis results and further development possibilities are discussed. The main findings and conclusions disclose two main problematic areas which may be defined as obstacles for rational and creative management decisions in quality management, related with clear responsibility distribution and assignment between data inputters and experience interpreters and duplicated qualitative data which AI system is not capable of rationalizing at the present development stage, speech and language processing techniques used when data processing algorithms cannot cope with the dual data processing technique, because in practice the system interprets and rationalizes only one category of data either quantitative - based on rational defined indicators, or qualitative, based on language recognition and speech related data interpretation. Managers’ experience in harmonizing creative human experience in organisation’s quality management was evaluated as positive. Data processed by tested AI system allows for rationalization of creative experience with ready quantitative data output from QMS system and final harmonized strategic quality management decisions.
Highlights
Strategic and tactical decisions by managers depend on abilities to harmonize rational and creative decision making
Artificial Intelligence (AI) system used in the analysed educational services providing institution with quality management clearly may be defined as a system mainly related to language based AI technique functionality because of the nature of data processing, which was implemented in the system
Theoretical analysis of rational and creative decision management and harmonization has revealed that AI systems and tools rapidly emerge as tools and techniques, which can be used to help decision makers – managers in the decision making and harmonization
Summary
Strategic and tactical decisions by managers depend on abilities to harmonize rational and creative decision making. Using Artificial Intelligence (AI) technologies in contemporary organisations become more and more prevalent mainly due to the fact that these technologies prove to have abilities to reduce administrative work load and help to base decisions taken by managers on data instead of leaving them to take an intuitive decision making approach, but there paradigms arise related to rational and creative decision making. Decision making includes communicative, creative and intuitive methods of decision communication and presentation. Rational decision making paradigm arises because a rational analysis is useful and necessary while making strategic decisions. One of the reasons is the fact that too little attention is paid to the influence of subjective factors on the process of decision making and its realization (Gudonavičius & Savanevičiene, 2018)
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