A Study of The Influence of Organizational Learning on Employees’ Innovative Behavior and Work Engagement by A Cross-Level Examination
Hsiu-Chuan Lin 1 * , Yuan-Duen Lee 2
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1 Department of Business Administration, Chang Jung Christian University
2 Graduate School of Business and Operations Management, Chang Jung Christian University
* Corresponding Author

Abstract

Background:
The purpose of this study is to examine the influence of organizational learning on employee’s innovative behavior, and further proposed the mediation effect of work engagement between the relationship of organizational learning and employee’s innovative behavior.

Material and methods:
The study targets on executives and their subordinates by paired samples within the Southern Taiwan Science Park and a total of 21 useful firms collected.

Results:
The results indicated that work engagement fully mediated the relationship between organizational learning and employee’s innovative behavior, that is , executives with organizational learning can strengthen the work engagement of employees, thereby affecting employee’s innovation behavior. Besides, we further found that work engagement also plays a full mediating role among organizational learning and employee’s innovative ideas generation, advocacy, and implementation respectively. This paper suggests managers should take advantage of transformational leadership behavior or select and train managers with transformational leadership style to enhance work engagement of employees, and then improve to generate innovative behavior of employees.

Conclusions:
This paper suggests managers should take advantage of their learning culture to enhance their employees’ work engagement and then this is also beneficial for the generation of innovative behavior of employees.

License

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

https://doi.org/10.12973/eurasia.2017.00738a

EURASIA J Math Sci Tech Ed, 2017 - Volume 13 Issue 7, pp. 3463-3478

Publication date: 15 Jun 2017

Article Views: 2188

Article Downloads: 844

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