FACTORS AFFECTING KNOWLEDGE MANAGEMENT OF SCHOOLS IN THE SECONDARY EDUCATION OF SERVICE AREA OFFICE 2

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กนกบงกช ศรีสงคราม ปริยาภรณ์ ตั้งคุณานันต์ กาญจนา บุญภักดิ์

Abstract

This purposes of this research were to study 1) the conditions of knowledge management of the schools 2) the levels of teachers’ opinions of the factors affecting knowledge management of the schools and 3) the factors affecting knowledge management of the schools under the Secondary Educational Service Area Office 2. In this research, 219 teachers were selected from the schools under the Secondary Educational Service Area Office 2 by using stratified random sampling technique. The data collection tool was the rating scale questionnaire. The confidence valve of the questionnaire was 0.873. The data were analyzed in frequency, percentage, mean ( ), standard deviation (S.D.) and stepwise multiple regression analysis.


The results of this research revealed that the conditions of knowledge management of the schools under the Secondary Educational Service Area Office 2 was in a high level (gif.latex?\large&space;\bar{x}  = 4.13, S.D. = 0.37). The levels of opinions of the factors affecting overall knowledge management of the schools under the Secondary Educational Service Area Office 2, when the means were arranged in order from high to low, the highest mean was  Information Technology (  gif.latex?\large&space;\bar{x}= 4.14, S.D. = 0.48) Corporate Culture ( gif.latex?\large&space;\bar{x}= 4.12, S.D. = 0.58) Leadership ( gif.latex?\large&space;\bar{x} = 4.11,S.D. = 0.63) and Evaluation  ( gif.latex?\large&space;\bar{x} = 4.07,S.D. = 0.63), respectively. The factors affecting knowledge management of the schools under the Secondary Educational Service Area Office 2 were information technology (X3), leadership (X1), evaluation of knowledge management (X4) and organizational culture (X2). Using these parameters could predict the factors affecting knowledge management (Y) at 51.80% with the p value of 0.01. The percentage was calculated by using the following regression equation;


Row score regression equation


Ŷ = 1.308 + 0.212(X3) + 0.158(X1) + 0.152(X4) + 0.164(X2)


Standard score regression equation


Źy = 0.270(ZX3) + 0.265(ZX1) + 0.257(ZX4) + 0.251(ZX2)

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How to Cite
ศรีสงครามก., ตั้งคุณานันต์ป., & บุญภักดิ์ก. (2017). FACTORS AFFECTING KNOWLEDGE MANAGEMENT OF SCHOOLS IN THE SECONDARY EDUCATION OF SERVICE AREA OFFICE 2. Journal of Industrial Education, 16(3), 194-200. Retrieved from https://www.tci-thaijo.org/index.php/JIE/article/view/129153
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Research Articles

References

[1] Office of the Education council. 2014. The monitoring and evaluation of education Policies of the government of 2013. Bangkok: Prikwarn Graphic co.,Ltd.

[2] Nukool Srinual. 2010. Knowledge Management of Prayamonthaturadsripijit School Bangbon Ditrict Bangkok. Bangkok: Dhonburi Rajabhat University.

[3] Pitak Sornchai. 2007. Knowledge Management of Phu Sang wittayakhom School, Phu Sang District. Phayao Province. Chiang Rai : Chiang Rai Rajabhat University.

[4] Boonchan Sisan. 2011. The development of causal structural Relationship of Factors affected to success of Knowledge management in lab schools. Bangkok: Srinakharinwirot University.

[5] Kansuda MakhaSiranon. 2014. Building the learning organization. Bangkok: S.Asia Press (1989) Co.,Ltd.

[6] Pannee Suanpang. 2009. Information Technology and Innovation for Knowledge management. Bangkok: SE-Education Public company Limited.

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