Teleworking in the Data Economy for Generation Z: Analyzing the Opinions of High School Students

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Abstract

Representatives of generation Z—students of higher education—are active consumers of digital technologies in education and work.The purpose of the study, which is its subject: updating the state of development of teleworking in generation Z by recording responses in the questionnaire process. The object of the study: issues related to the use of teleworking implemented on the basis of information and communication technologies among young people-generation Z—students of higher education during the development of the data economy. Questions (tasks) of the work—a study of the following issues: the prevalence of teleworking among representatives of generation Z-students of higher education: the type of work attractive to respondents; the prevalence of teleworking among the respondents' environment; conditions conducive /hindering the involvement of respondents in the format of teleworking; the essence of « teleworking» for respondents.Research methods: analysis, synthesis, classification, comparative analysis, questionnaire. A survey of youth-generation Z—students of higher education (N=17) was conducted. The questionnaire consists of five parts, seventeen questions: «Characteristics of the student», «For those with and without teleworking experience», «For those with teleworking experience», «For those without teleworking experience», « Teleworking—this is...»The results of the study: the level of distribution of teleworking among generation Z has been confirmed (according to research by the All-Russian Centers for the Study of Public Opinion), research by Russian authors on the threats of teleworking of study and work; the development of the topic of «soft factors» among specialists of future periods. The prospects of teleworking research among generation Z in the form of volunteer activity are highlighted.

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Guzel I. Gumerova

Financial University under the Government of the Russian Federation

Author for correspondence.
Email: GIGumerova@fa.ru
ORCID iD: 0000-0002-5198-7576
SPIN-code: 4426-5494
Scopus Author ID: 6506026980
ResearcherId: H-6985-2017

Dr. Sci. (Econ.), Professor, Professor of the Department of Management and Innovation

Russian Federation, Moscow

Elmira Sh. Shaimieva

Kazan Innovation University named after V.G. Timiryasov (IEUP)

Email: shaimieva@ieml.ru
ORCID iD: 0000-0002-9588-0199
SPIN-code: 5592-5270
Scopus Author ID: 56644835900
ResearcherId: P-7565-2015

Dr. Sci. (Econ.), Associate Professor; Professor of the Department of Management, Head of the Research Laboratory of Knowledge Management of the Faculty of Management and Engineering Business

Russian Federation, Kazan

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