Modelling and Optimizing Teacher’s Innovativeness
An Empirical Study using POP SDM Method on Teachers of State Primary Schools
Abstrak
The objective of the research is about finding strategies of teacher’s innovativeness by using POP SDM method where it firstly conducted by qualitative research to explore variables affecting teacher’s innovativeness. The dominant variables are creativity and personality as independent variables, and perceived organizational support (POS) as intervening one. After finding variables and constructing model constellation through theoretical framework and expert judgment, then the model is examined by a quantitative research using path analysis on 155 teachers of state primary schools at South Tangerang. On the basis of hypotheses test, the direct effect of variables upon teacher’s innovativeness is Ŷ= 0,283X1 + 0,235X2 + 0,481X3, the direct effect of independent variables upon intervening is X3 = 0,381 X1 + 0,573 X2. Whereas the indirect effect of creativity upon teacher’s innovativeness through POS is βx1yx3 = 0,183, this value is < 0,283X1 which means POS is not significantly effective as intervening on the effect of creativity upon teacher’s innovativeness through POS. While the indirect effect of personality upon teacher’s innovativeness through POS is βx2yx3 = 0,276 that it is > 0,235X2 which means POS is significantly effective as intervening on the effect of personality upon teacher’s innovativeness through POS. Eventually, Sitorem analysis is conducted to determine teacher’s innovativeness improvement by strengthening weak indicators and maintaining good ones in variables ordering based on the highest coefficient correlation. On the basis of SITOREM result, the indicators prioritized to be improved are sequentially from POS, creativity, and personality
Referensi
Tang M, Werner CH. Handbook of the Management of Creativity and Innovation: Theory and Practice. Tang M, Werner CH, editors. World Scientific; 2017.
Gilbert D. What Drives & Sustains Firm Innovativeness? In: Preferred Stream: Stream 6, Knowledge Management and Intellectual Capital. Sydney, Australia; 2007. p. 1–15.
Hardhienata S, Setyaningsih S. Modeling and Optimization Teacher Work Innovation: An Empirical Study Using POP-SDM Approach on Vocational Teachers of Private Vocational Schools in Depok. Journal of Industrial Engineering & Management Research [Internet]. 2(4). Available from: http://www.jiemar.orghttp://www.jiemar.org
Barbeau K, Boileau K, Sarr F, Smith K. Path analysis in Mplus: A tutorial using a conceptual model of psychological and behavioral antecedents of bulimic symptoms in young adults. Quant Method Psychol. 2019 Mar 1;15(1):38–53.
Sawyer RK. Explaining Creativity: The Science of Human Innovation [Internet]. 2nd edition. New York: Oxford University Press, Inc.; 2011. Available from: www.oup.com
Colquitt Jason, Lepine JA, Wesson MJ. Organizational Behavior : Improving Performance and Commitment in The Workplace. New York: McGraw-Hill Education; 2015. 613 p.
Barrick M, Mount M, Li N. The Theory of Purposeful Work Behavior: The Role of Personality, Higher-Order Goals, and Job Characteristics. Academy of Management Review. 2012;38(1):132–53.
Le PB, Lei H. Determinants of Innovation Capability: The Roles of Transformational Leadership, Knowledge Sharing and Perceived Organizational Support. Journal of Knowledge Management. 2019;23(3):527–47.
Salehzadeh R, Asadi A, Pool JK, Ansari MR, Haroni A. The Influence of Perceived Organizational Support on Dimensions of Learning Organization: An Empirical Study of SMEs in Iran. Learning Organization. 2014;21(3):206–19.
