The value of data sets in information and knowledge management as a threat to information security

The article presents an analysis of the awareness of employees at various levels in large manufacturing companies in Poland and Italy. A questionnaire was used for the research, the questions allow for adopting a 7-point Likert scale. The Servqual method was used to assess satisfaction with the applied solutions. The research became the basis for the development of a model of conduct among middle and senior employees with a large amount of processed information. The article is of a research nature. The main purpose of this survey is to identify the level of awareness of production companies' employees in the field of security of processed information and its collection in big data. For this purpose, the first part discusses information and knowledge management as components of enterprise security. Attention was also paid to the amount of information and knowledge that should be processed, which gives the potential for processing in big data. The article uses the results of studies conducted from September 2019 to March 2020. The second (empirical) part of the article presents the research assumptions, methodology, research results and conclusions from the research. On the basis of 1263 questionnaires, it was shown that the transfer of information and knowledge is at an average level in enterprises. The study also showed a moderate safety effectiveness of the analyzed resources. The next stage of the research was the Servqual analysis, which showed that one of the examined areas: reliability of company management requires immediate improvement, and providing employees with knowledge about big data and security threats requires intervention, reflection and changes. The study also indicated that the growing availability of modern systems and the creation of a security culture gives the potential to transfer the activities of enterprises to IT systems. Information and knowledge processing and management of these resources is also possible with the use of big data.