Abstract

Personalization, mobility, artificial intelligence, corporate life transferred to the online world—all these elements will shape all intelligent solutions, including those for cities in the future also in the field of energy management. A necessary condition is to determine which specific repetitive behaviors and features smart cities will have to meet in order to build an image among residents and adapt to their preferences and requirements and energy requirements. Smart cities were created to support residents in using various services, to give them the possibility of easy communication without time and local barriers. Therefore, high-quality smart solutions in cities significantly affect trust in the city and can affect its reputation. Given that the purpose of the article is to examine the perception of intelligent solutions also in the field of energy and their impact on the sense of privacy and security, different exchanges of perceptions of quality, the risks they pose to residents and their perception of what gives a picture, have been studied. The results of empirical research clearly showed that the safety and level of satisfaction with the activities carried out by the city have a significant impact on the perceived quality, which in turn has a positive impact on reputation. The authors proposed a methodology based on the Kano model for examining residents’ satisfaction in order to investigate undefined desires and identified and confirmed needs and to study the analysis of risk and potential threats. The study was in the form of a proprietary questionnaire that can be used in similar surveys on the satisfaction of residents; 2685 correctly completed questionnaires were analyzed and the results obtained after submission were included in management action plans. The city government has expressed an interest that the measures taken will be reviewed after one to two years.

Highlights

  • The relationship between perceived quality and reputation is important because residents rely on image to assess perceived risk [11,55,59,60], when there are no objective and measurable attributes, to test this relationship, we propose the hypothesis: Hypothesis 4 (H4)

  • By collecting information on the features, quality level of activities, and how they are perceived in terms of safety in smart cities [69], we analyzed the rich literature on this subject

  • This stage of research is primarily a questionnaire part describing the potential attributes of intelligent solutions and the sense of security of residents, intelligent solutions and those that carry threats [73,74,75]

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Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. As much as 53% of the population lives in the city [1]. Cities as a place of energy management play a huge role in the social and economic life of each country [2]. The percentage of people who will live in cities will increase to

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