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ENHANCING INFORMATION TECHNOLOGIES FOR MARITIME PERSONNEL SELECTION IN CREWING COMPANIES BASED ON DECISION SUPPORT SYSTEMS

Iryna Shkitina (), Olha Izmailova (), Hanna Krasovska (), Oleh Ilarionov () and Iryna Domanetska ()
Additional contact information
Iryna Shkitina: Taras Shevchenko National University of Kyiv / student, Kyiv, Ukraine
Olha Izmailova: Kyiv National University of Construction and Architecture / Department of Cyber Security and Computer Engineering, Kyiv, Ukraine
Hanna Krasovska: Taras Shevchenko National University of Kyiv / Department of Intelligence Technologies, Kyiv, Ukraine
Oleh Ilarionov: Taras Shevchenko National University of Kyiv / Department of Intelligence Technologies, Kyiv, Ukraine
Iryna Domanetska: Taras Shevchenko National University of Kyiv / Department of Intelligence Technologies, Kyiv, Ukraine

Conferences of the department Informatics, 2024, issue 1, 81-83

Abstract: This paper explores the process of improving information technologies for the search and selection of maritime personnel in crewing companies. An analysis of traditional management methods reveals that they are time and resource-intensive, and the results do not always optimize the company’s performance. A new approach based on human-machine decision-making technologies is proposed, incorporating decision support systems and logical-mathematical methods for personnel selection. The developed information technology formalizes selection processes, candidate evaluation, and enhances decision-making quality through the implementation of multi-criteria analysis and expert evaluation methods. Testing results demonstrated the high efficiency of the new system in real-world.

Keywords: information technology; crewing company; personnel search; candidate selection; humanmachine decision-making; decision support system (DSS); multi-criteria analysis; expert evaluation; optimization (search for similar items in EconPapers)
JEL-codes: C8 (search for similar items in EconPapers)
Date: 2024
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