Vol.10, No.2, May 2021.                                                                                                                                                                                    ISSN: 2217-8309

                                                                                                                                                                                                                         eISSN: 2217-8333

 

TEM Journal

 

TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS

Association for Information Communication Technology Education and Science


Multi-Model of Successful Organizational Culture for Science Organizations

 

Marina Romanovich, Nasser Safaie, Samaneh Agakazem Shirazi

 

© 2021 Marina Romanovich, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

 

Citation Information: TEM Journal. Volume 10, Issue 2, Pages 864-871, ISSN 2217-8309, DOI: 10.18421/TEM102-47, May 2021.

 

Received: 14 January 2021.

Revised:   15 April 2021.
Accepted: 20 April 2021.
Published: 27 May 2021.

 

Abstract:

 

In this study, methodological paradigms and research aspects of the organizational culture of a scientific institution were considered, since such organizations have their own special specifics of work unlike commercial organizations, which is a littlestudied topic. It is figured out using cluster analysis procedures. The results of the analyses consist of the existing approaches to the definition of “organizational culture” and gave the author's definition of organizational culture for scientific institutions, has developed a multi - model of the organizational culture and proposed a mechanism for implementing. The main results has showed that to address this issue, companies need to transform the organizational culture in such a way as to take into account the current motivational needs of young people and labour involvement process.

 

Keywords –organizational culture, young scientists, science organizations, cluster analysis.

 

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