Abstract

This paper presents the development of technologies to support the decision-making of local government executives and smart city concept managers in selecting and evaluating the competencies of new members for advisory groups for solving problems that are implemented in safe times in individual areas or in crises, such as pandemics. The reason for developing effective urban transformation strategies and for the transparent selection of independent experts (non-politicians) for policymaking, decision-making, and implementation teams is not only the heterogeneity of smart city dimensions together with the necessary complexity and systems approach, but also the nature of the capacities and tools needed for smart city concepts. The innovative hybrid competency assessment model is based on fuzzy logic and a network for neuro-fuzzy assessment. It is a technological model for evaluating the competencies of specialists, taking into account the influence of human factors on the processes of personnel selection and system management. An innovative web platform named “Smart City Concept Personnel Selection” has been designed, which can be adapted to various users of municipalities or regional institutions for the transparent selection of qualified personnel for effective decision-making and the use of public funds during safe times or emergencies, such as the COVID-19 pandemic.

Highlights

  • The success or failure of an organization is directly related to how its human resources are used and maintained

  • As part of our study, we offer the following models: M1 —a fuzzy model for the assessment of the competence of specialists, taking into account different models of competencies for linear assessment tasks; M2 —a hybrid fuzzy model that takes into account the experience of managers; M3 —a neuro-fuzzy network for modeling nonlinear evaluation processes

  • To apply the knowledge and experience of smart city managers in the evaluation process, the model is proposed—a hybrid fuzzy model that takes into account the experience of managers, which is able to derive a normalized assessment of the quality of selection

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Summary

Introduction

The success or failure of an organization is directly related to how its human resources are used and maintained. Due to increased competition and globalization and rapid technological improvements, global markets require high-quality and professional human resources. This can only be achieved by hiring potentially adequate staff. This applies to the management of a smart city, which seeks to improve traditional methods of recruiting staff to achieve ideal solutions. Government–business system, will improve resource management, which will lead to achieving the goals of the smart city concept and increasing capital for its development. We will focus on the task of evaluating and selecting members of a smart city and green transportation and mobility expert group

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