Publication:
Analysis of the possible relationship model between knowledge management and job satisfaction: Aligning and developing a model as a guideline for service staff management in the aviation industry

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Issued Date

2022

Resource Type

Book Chapter

Language

eng

File Type

application/pdf

DOI

10.4018/978-1-6684-4615-7.ch012

Rights Holder(s)

มหาวิทยาลัยศรีนครินทรวิโรฒ

Bibliographic Citation

Case Studies in Construction Materials. Vol 16, No. (2022)

Suggested Citation

Widtayakornbundit S., Ativetin T. Analysis of the possible relationship model between knowledge management and job satisfaction: Aligning and developing a model as a guideline for service staff management in the aviation industry. Case Studies in Construction Materials. Vol 16, No. (2022). doi:10.4018/978-1-6684-4615-7.ch012 Retrieved from: https://hdl.handle.net/20.500.14740/9840

Title

Analysis of the possible relationship model between knowledge management and job satisfaction: Aligning and developing a model as a guideline for service staff management in the aviation industry

Author(s)

Widtayakornbundit S.
 Ativetin T.

Abstract

This study examines the relationship between knowledge management in the aviation industry and job satisfaction among service staff through a literature review. This authors surveyed the relationship model while reversing to job satisfaction, which allowed them to develop a guideline for organizational knowledge management and the process of achieving satisfaction from practice guidelines, as well as other factors that contributed to developing the model apart from the two aforementioned variables, especially the changes from the situation that promote the continuous development of the knowledge management model because good management practices would lead to good organizational behavior and performance. Therefore, the context in which the study is conducted is the aviation industry because it has been severely affected by the crisis. The relationship management model must integrate management approaches into employee requirements by means of lessons learned from sample case studies. © 2022, IGI Global.

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URI

https://hdl.handle.net/20.500.14740/9840

Collections

Scopus: Year 2022

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