The influence of knowledge sharing barriers on the performance of administrative subdivisions of Russian universities

Evgeny Blagov, Anastasiia Pleshkova, Alena Begler

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференции

Аннотация

This paper investigates the influence of a set of twelve knowledge sharing barriers of technological and organizational nature on the knowledge sharing performance (namely, speed and quality of knowledge sharing) in the administrative subdivisions in six of the leading Universities in Russian Federation. The barriers set included such barriers as: Low compatibility of document management systems used by a respondent and her colleagues; Insufficiencies of the document management systems used by a respondent and her colleagues; Complexity of learning to use these systems; Insufficient level of decision making authority delegation given by the senior management to the respondent and her colleagues; Insufficient clarity of instructions given by the senior management to the respondent and her colleagues; Too strict regimentation of job duties of the respondent and her colleagues; Insufficiently strict regimentation of job duties of the respondent and her colleagues; Lack of material remuneration for knowledge sharing; Lack of immaterial remuneration for knowledge sharing; Requested knowledge importance for its holder; Personal enmity; Time deficit to share knowledge due to work overload. The respondents have been answering the questionnaire including questions regarding perceived strength of the barriers by the respondent as the knowledge requester and knowledge holder. Thus, four models have been created: Barriers' influence on the speed of knowledge obtaining by request (Model 11); Barriers' influence on the quality of knowledge obtained by them by request (Model 12); Barriers' influence on the speed of knowledge sharing by the respondents by the colleagues' request (Model 21); Barriers' influence on the quality of knowledge shared by the respondents by the colleagues' request (Model 22).The models have been tested via the IBM SPSS Statistics 22 statistical package as linear regression equations. The results of this testing, showing the statistically significant influence of some of the barriers on the knowledge sharing speed and quality in different models, have been interpreted. On the basis of the educed results, several further research directions are suggested.

Язык оригиналаанглийский
Название основной публикацииProceedings of the 15th International Conference on Intellectual Capital, Knowledge Management and Organisational Learning, ICICKM 2018
РедакторыShaun Pather
ИздательAcademic Conferences and Publishing International Limited
Страницы14-21
Число страниц8
ISBN (электронное издание)9781912764099
СостояниеОпубликовано - 1 янв 2018
Событие15th International Conference on Intellectual Capital, Knowledge Management and Organisational Learning, ICICKM 2018 - Cape Town, Южно-Африканская Республика
Продолжительность: 29 ноя 201830 ноя 2018

Серия публикаций

НазваниеProceedings of the International Conference on Intellectual Capital, Knowledge Management and Organisational Learning, ICICKM
Том2018-November
ISSN (печатное издание)2048-9803

Конференция

Конференция15th International Conference on Intellectual Capital, Knowledge Management and Organisational Learning, ICICKM 2018
СтранаЮжно-Африканская Республика
ГородCape Town
Период29/11/1830/11/18

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Предметные области Scopus

  • Информационные системы управления
  • Менеджмент технологии и инноваций
  • Прикладные компьютерные науки
  • Информационные системы и управление

Цитировать

Blagov, E., Pleshkova, A., & Begler, A. (2018). The influence of knowledge sharing barriers on the performance of administrative subdivisions of Russian universities. В S. Pather (Ред.), Proceedings of the 15th International Conference on Intellectual Capital, Knowledge Management and Organisational Learning, ICICKM 2018 (стр. 14-21). (Proceedings of the International Conference on Intellectual Capital, Knowledge Management and Organisational Learning, ICICKM; Том 2018-November). Academic Conferences and Publishing International Limited.