Legal aspects of modern technologies and the level of knowledge of a modern entrepreneur - a model and its verification
 
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1
Uniwersytet Zielonogórski w Zielonej Górze
 
2
Wyższa Szkoła Bankowa w Gdańsku
 
3
Uniwersytet Gdański w Gdańsku
 
 
Submission date: 2022-05-26
 
 
Acceptance date: 2022-06-17
 
 
Publication date: 2022-07-31
 
 
Corresponding author
Bogdan - Nogalski   

Wyższa Szkoła Bankowa w Gdańsku
 
 
JoMS 2022;48(1):253-280
 
KEYWORDS
TOPICS
ABSTRACT
Objectives:
Conducting a series of studies on the assessment of knowledge on the legal aspects of modern technologies by Polish managers and business owners

Material and methods:
Desk research analysis including available literature sources and an expert debate on the subject of legal aspects of new technologies, a deliberately selected group of companies.

Results:
The study was a starting point for defining the gaps in the assimilation (self-assessment) of the microfoundations of new technology-oriented managerial legal knowledge articulated in the research model.

Conclusions:
The research model, resulting from expert discussion, actually reflects the desired areas of legal knowledge in the field of new technologies that should be absorbed by modern managers.  The material collected in the research procedure made it possible to verify the hypothesis and formulate general and cognitive conclusions. Although the hypothesis assumed in the study - in the conducted empirical argument - was partially confirmed, it was tested by determining the degree of confirmation. Among the surveyed managers, there is a difference between the desired and the current level of acquiring key managerial legal knowledge regarding modern technologies, which was partially confirmed (strong, conclusive confirmation). However, a gap of 0.5 points was indicated, and in relation to the selected descriptors, the difference between the desired and the postulated level of knowledge was higher (weak confirmation). The paper presents a certain cross-section of parameters illustrating the level of legal knowledge, it can be treated as a base element for further discussions, thus giving rise to building dedicated models, it can be used in the study of sectors different from the one presented.

REFERENCES (17)
1.
Atzori, L., Iera, A., Morabito, G. (2010). The Internet of Things: A survey. W: „Computer Networks”, No. 54(15), s. 2787–2805.
 
2.
Columb, M.O. Lalkhen, A.G. (2005). Systematic reviews & meta-analyses „Current Anaesthesia & Critical Care”, No. 16(6), s. 391–394.
 
3.
Czakon, W. (2011). Metodyka systematycznego przeglądu literatury. „Przegląd Organizacji”, nr 3, s. 57–61.
 
4.
Czakon, W., Klimas, P., Kawa, A. (2019) Krótkowzroczność strategiczna – metodyczne aspekty systematycznego przeglądu literatury. „Studia Oeconomica Posnaniensia”, nr 7, 2, s. 27–37.
 
5.
Fallera, C., Feldmüllera, D. (2015). Industry 4.0 Learning Factory for regional SMEs. „Procedia CIRP”, No. 32, s. 88–91.
 
6.
Gerwin, D (1993). Manufacturing Flexibility: A Strategic Perspective. „Management Science”, No. 39, 4, s. 395–410.
 
7.
Gimenez, C., Tachizawa, E. (2012). Extending sustainability to suppliers: a systematic literature review. „Supply Chain Management: An International Journal”, No. 17(5), s. 531–543.
 
9.
Kolberg, D., Zühlke, D. (2015). Lean Automation enabled by Industry 4.0 Technologies. „IFACPapersOnLine”, No. 48–3, 1870–1875.
 
10.
s. Lasi, H., Fettke, P., Kemper, H., Feld, T., Hoffmann, M. (2014). Industry 4.0. „Business & Information Systems Engineering”, No. 6, s. 239–242.
 
11.
Lee, J., Kao, H-A, Yang, S. (2014). Service innovation and smart analytics for Industry 4.0 and big data environment. „Procedia CIRP”, No. 16, s. 3–8.
 
12.
Okoli, C., Pawlowski, S. (2014). The Delphi Method as a Research Tool: An Example, Design Considerations and Applications. „Information & Management”, No. 42(1), s. 15–29.
 
13.
Paliwoda, S.J. (1993). Predicting the Future Using Delphi. „Management Decision”, No. 21, 1, s. 31–38.
 
14.
Subashini, S., Kavitha, V. (2011). A survey on security issues in service delivery models of cloud computing. „Journal of Network and Computer Applications”, No. 34 (1), s. 1–11.
 
15.
Szulewski, P. (2016). Koncepcje automatyki przemysłowej w środowisku Industry 4.0. „Mechanik”, No. 7, s. 574–578.
 
16.
Żmijewski, R. (2014). Elementy koncepcji „Industrie 4.0” w praktyce. Systemowe modelowanie produktu w wirtualnym przedsiębiorstwie. „Siemens Industry Software”.
 
17.
Xu, X. (2012). From cloud computing to cloud manufacturing. „Robotics and Computer Integrated Manufacturing”, No. 28(1), s. 75–86.
 
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ISSN:1734-2031
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