Measuring the Impact of Knowledge Management on the Effectiveness in the Classroom Delivery using Multiple Regression
Sivagami R1, Umamaheswari D2
1Sivagami R, Department of Management Studies, Periyar Maniammai Institute of Science & Technology, Thanjavur (Tamil Nadu), India.
2Umamaheswari D, Department of Commerce, Periyar Maniammai Institute of Science & Technology, Thanjavur (Tamil Nadu), India.
Manuscript received on 20 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 3966-3969 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B15380982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1538.0982S1119
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Knowledge management is considered as the integrated approach which involves in identifying, managing and sharing the critical know-how, enable in enhancing the experiences of the individual and increasing the intellectual capital of the human resources in the education sector. Knowledge management is considered as the critical fields which enable in guiding the educational institutions and the students in generating new knowledge, storing them and apply when required. Hence, to apprehend the effect of knowledge management, a clear picture of the approach and framework needs to be determined. Knowledge management possess greater impact on the effectiveness in the classroom delivery, the knowledge generation is considered as the critical factor in the KM model which was stated earlier. Hence, educational institutions tend to focus on the three specified critical areas: Knowledge generation; Knowledge storage and Knowledge application. These aspects will enable the trainers to enhance the effectiveness of classroom delivery in educational institutions.
Keywords: Knowledge Management, Knowledge Generation, Multiple Regression.
Scope of the Article: Social Sciences