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Knowledge Management Perception in Industrial Enterprises Within the CEE Region

Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST,volume 189)

Abstract

Smart Cities work with many data collected from various sources. The data are useless unless people know how to process them effectively. The aim of the submitted paper is to find out what the attitudes of the employees working in industrial enterprises in the CEE region are towards the Knowledge Management and it also focuses on finding the means of possible improvements of the Knowledge Management implementation. In the first part, definition and importance of the knowledge is explained for better understanding of the dealing issue. The second part describes our questionnaire survey with sample of 650 respondents. Selected survey results are presented and interpreted in the following section. Main research findings and recommendations can be found in the fourth part. The last part summarizes all previous parts of the article. From the survey results can be concluded that there is a significant relationship between knowledge management performance and the ease of use of knowledge management tools.

Keywords

  • Knowledge
  • Knowledge management
  • Perception
  • Industrial enterprise
  • Blue collars

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Acknowledgement

The paper is a part of the project H2020 project RISE-SK with title Research and Innovation Sustainability for Europe which was approved as an institutional project with foreign participation.

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Correspondence to Lubica Pechanova .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Szilva, I., Caganova, D., Bawa, M., Pechanova, L., Hornakova, N. (2018). Knowledge Management Perception in Industrial Enterprises Within the CEE Region. In: Longo, A., et al. Cloud Infrastructures, Services, and IoT Systems for Smart Cities. IISSC CN4IoT 2017 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 189. Springer, Cham. https://doi.org/10.1007/978-3-319-67636-4_8

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  • DOI: https://doi.org/10.1007/978-3-319-67636-4_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67635-7

  • Online ISBN: 978-3-319-67636-4

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