Knowledge Sharing in Digital Learning Communities: A Comparative Review of Issues between Education and Industry

Jackson, T.; Nikolic, Sasha; Shen, Jun; Xia, Glen

doi:10.1109/tale.2018.8615407

Cited by 6 publications

(2 citation statements)

References 22 publications

(52 reference statements)

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“…Relying on the good-Samaritan-style of motivation factors was not influential. As do the works of Alam et al (2009) and Jackson et al (2018), we found that a positively motivated employee will happily share knowledge with others. The positive influence of motivation is also supported in the works of Kankanhalli et al (2005) and Y. S. Choi (2000).…”

Section: Discussionmentioning

confidence: 69%

Successfully sharing knowledge: Empirical evidence on the influence of managerial factors

Jackson

Shen

Nikolic

2022

Knowl Process Manag

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Knowledge is an intangible and vital resource that is an important source of competitive advantage; however, the technologies that help create, store, and transfer knowledge are hindered by unrealistic expectations and ambiguity, and the measurement of knowledge‐sharing activities is both difficult and complex. Compounding this is the deficit of empirical studies on the factors that influence the knowledge‐sharing process. We endeavored to provide empirical evidence on these interactions using a survey developed from a prior extensive systematic literature review. The previously identified factors that were in the current study tested comprised (1) organizational culture, (2) formal processes, (3) top‐down support, (4) motivation, (5) clear strategy, and (6) quality of technology. In order, the most influential factors were organizational culture, top‐down support, motivation, and quality of technology. This study is a promising start to the exploration of the factors used in knowledge sharing and should be expanded to include new industries and contexts.

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Section: Discussionmentioning

confidence: 69%

Successfully sharing knowledge: Empirical evidence on the influence of managerial factors

Jackson

Shen

Nikolic

2022

Knowl Process Manag

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“…The problem of modernization of the educational services markets in the conditions of formation of Industry 4.0 is studied in a lot of fundamental and empirical works of modern scholars and experts, which include Bogoviz (2019), Jackson et al (2019), Kalolo (2019), Ma (2019), Papadakis et al (2018), Popkova (2017Popkova ( , 2019, Popkova and Sergi (2019), Sozinova (2019), Sukhodolov et al (2018) and Yakovenko et al (2019). At the same time, a gap in the accumulated knowledge on this topic is deficit of regional research, because of which regional specifics of modernization of the educational services markets in the conditions of formation of Industry 4.0 is poorly studied and not taken into account during management of this process.…”

Section: Methodsmentioning

confidence: 99%

Managing the modernization of regional markets of educational services in the conditions of formation of Industry 4.0

Bogoviz

Lobova

Alekseev

et al. 2019

OTH

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Purpose The purpose of this paper is to substantiate the perspectives and to develop recommendations for managing digital modernization of regional markets of educational services in the conditions of formation of Industry 4.0 by the example of modern Russia. Design/methodology/approach The methodological basis of the research consists of the hypothetical and deductive method. The offered hypothesis of the necessity for decentralization of managing digital modernization of regional markets of educational services in the conditions of formation of Industry 4.0 is verified with the help of a complex of methods of economic statistics (econometrics), namely, the method of regression analysis and analysis of variation. The research objects are regions of modern Russia that are peculiar for the highest level of scientific and technological development (top 15 of 83 regions at the beginning of 2019), which shows their largest progress in formation of Industry 4.0. The information and empirical basis of the research consists of the materials of the report on human development in the Russian Federation “Human and Innovations”, prepared by the Analytical Center for the Government of the Russian Federation (values of the education index are taken from it), and analytical materials of the rating “Level of Development of Science and Technologies in Regions of Russia” as a result of 2018, prepared by Ria rating (values of the index of scientific and technological development are taken from it). Findings It is determined that regional specifics are not sufficiently considered during management of modernization of regional markets of educational services in the conditions of formation of Industry 4.0 in modern Russia. This reduces efficiency of managing digital modernization of regional markets of educational services and leads to the fact that these markets do not perform their function of infrastructural provision of Industry 4.0, slowing down the process of its formation. Originality/value The necessity for managing modernization of the markets of educational services in the conditions of formation of Industry 4.0 at the regional level, in view of specifics of the regional economy, is substantiated. For this, a conceptual model and recommendations for its practical application in modern Russia are offered.

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Remote, simulation or traditional engineering teaching laboratory: a systematic literature review of assessment implementations to measure student achievement or learning

Nikolic

Ros

Jovanović

et al. 2021

European Journal of Engineering Education

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Knowledge Sharing in Digital Learning Communities: A Comparative Review of Issues between Education and Industry

Cited by 6 publications

References 22 publications

Successfully sharing knowledge: Empirical evidence on the influence of managerial factors

Successfully sharing knowledge: Empirical evidence on the influence of managerial factors

Managing the modernization of regional markets of educational services in the conditions of formation of Industry 4.0

Remote, simulation or traditional engineering teaching laboratory: a systematic literature review of assessment implementations to measure student achievement or learning

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