Standard

Knowledge sharing barriers in Russian universities' administrative subdivisions. / Blagov, Evgeny; Begler, Alena; Pleshkova, Anastasiia.

в: Electronic Journal of Knowledge Management, Том 18, № 2, 2020, стр. 172-184.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

Harvard

Blagov, E, Begler, A & Pleshkova, A 2020, 'Knowledge sharing barriers in Russian universities' administrative subdivisions', Electronic Journal of Knowledge Management, Том. 18, № 2, стр. 172-184. https://doi.org/10.34190/EJKM.18.02.007

APA

Blagov, E., Begler, A., & Pleshkova, A. (2020). Knowledge sharing barriers in Russian universities' administrative subdivisions. Electronic Journal of Knowledge Management, 18(2), 172-184. https://doi.org/10.34190/EJKM.18.02.007

Vancouver

Blagov E, Begler A, Pleshkova A. Knowledge sharing barriers in Russian universities' administrative subdivisions. Electronic Journal of Knowledge Management. 2020;18(2):172-184. https://doi.org/10.34190/EJKM.18.02.007

Author

Blagov, Evgeny ; Begler, Alena ; Pleshkova, Anastasiia. / Knowledge sharing barriers in Russian universities' administrative subdivisions. в: Electronic Journal of Knowledge Management. 2020 ; Том 18, № 2. стр. 172-184.

BibTeX

@article{628a63240c714bdfa571bf9425a643c5,
title = "Knowledge sharing barriers in Russian universities' administrative subdivisions",
abstract = "The paper investigates the influence of a set of twelve various nature knowledge sharing barriers (shortly, KSBs) on the knowledge sharing speed and quality in the administrative subdivisions of six leading Russian universities. The respondents have been answering the questionnaire including questions regarding the KSBs' perceived strength from the knowledge requester and knowledge holder positions, thus creating four models tested via the IBM SPSS Statistics 22 package as linear regression equations. The testing results are showing statistically significant influence of several KSBs on the knowledge sharing speed and quality. The methodology and results of the study have both practical applicability and theoretical value, as administrative subdivisions are considerably unpopular objects of knowledge sharing research in higher educational institutions, in contrast to the research and teaching subdivisions. Several further research development directions are suggested, considering both the sample extension and changes in the research methodology.",
keywords = "Educational administration, Educational institutions' administrative subdivisions, Higher educational institutions, Knowledge holders and requesters, Knowledge sharing, Knowledge sharing barriers, SCOPUS",
author = "Evgeny Blagov and Alena Begler and Anastasiia Pleshkova",
note = "Blagov, E. Knowledge sharing barriers in russian universities' administrative subdivisions // E. Blagov, A. Begler, A. Pleshkova // Electronic Journal of Knowledge Management. - 2020. - Volume 18, Issue 2, P.172-184.",
year = "2020",
doi = "10.34190/EJKM.18.02.007",
language = "English",
volume = "18",
pages = "172--184",
journal = "Electronic Journal of Knowledge Management",
issn = "1479-4411",
publisher = "Academic Conferences and Publishing International Limited",
number = "2",

}

RIS

TY - JOUR

T1 - Knowledge sharing barriers in Russian universities' administrative subdivisions

AU - Blagov, Evgeny

AU - Begler, Alena

AU - Pleshkova, Anastasiia

N1 - Blagov, E. Knowledge sharing barriers in russian universities' administrative subdivisions // E. Blagov, A. Begler, A. Pleshkova // Electronic Journal of Knowledge Management. - 2020. - Volume 18, Issue 2, P.172-184.

PY - 2020

Y1 - 2020

N2 - The paper investigates the influence of a set of twelve various nature knowledge sharing barriers (shortly, KSBs) on the knowledge sharing speed and quality in the administrative subdivisions of six leading Russian universities. The respondents have been answering the questionnaire including questions regarding the KSBs' perceived strength from the knowledge requester and knowledge holder positions, thus creating four models tested via the IBM SPSS Statistics 22 package as linear regression equations. The testing results are showing statistically significant influence of several KSBs on the knowledge sharing speed and quality. The methodology and results of the study have both practical applicability and theoretical value, as administrative subdivisions are considerably unpopular objects of knowledge sharing research in higher educational institutions, in contrast to the research and teaching subdivisions. Several further research development directions are suggested, considering both the sample extension and changes in the research methodology.

AB - The paper investigates the influence of a set of twelve various nature knowledge sharing barriers (shortly, KSBs) on the knowledge sharing speed and quality in the administrative subdivisions of six leading Russian universities. The respondents have been answering the questionnaire including questions regarding the KSBs' perceived strength from the knowledge requester and knowledge holder positions, thus creating four models tested via the IBM SPSS Statistics 22 package as linear regression equations. The testing results are showing statistically significant influence of several KSBs on the knowledge sharing speed and quality. The methodology and results of the study have both practical applicability and theoretical value, as administrative subdivisions are considerably unpopular objects of knowledge sharing research in higher educational institutions, in contrast to the research and teaching subdivisions. Several further research development directions are suggested, considering both the sample extension and changes in the research methodology.

KW - Educational administration

KW - Educational institutions' administrative subdivisions

KW - Higher educational institutions

KW - Knowledge holders and requesters

KW - Knowledge sharing

KW - Knowledge sharing barriers

KW - SCOPUS

UR - http://www.scopus.com/inward/record.url?scp=85100300771&partnerID=8YFLogxK

U2 - 10.34190/EJKM.18.02.007

DO - 10.34190/EJKM.18.02.007

M3 - Article

AN - SCOPUS:85100300771

VL - 18

SP - 172

EP - 184

JO - Electronic Journal of Knowledge Management

JF - Electronic Journal of Knowledge Management

SN - 1479-4411

IS - 2

ER -

ID: 86621439