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Title: Identifying knowledge management processes and its effect on organisational performance in the airline industry context
Author: Tubigi, Mohammed Ali
ISNI:       0000 0004 5351 2851
Awarding Body: Brunel University
Current Institution: Brunel University
Date of Award: 2015
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In today's increasingly competitive business environment, the use of knowledge to gain a competitive advantage has become a serious concern for all organisations. However, some industries have been affected more acutely than others in the transition to a knowledge-based economy. Despite the increasing number of studies relating to Knowledge Management (KM), few have explored this concept within the Airline Industry (AI). As all the studies and model of this research have built on the relationship between KM and organisational performance (OP), the AI is the context of the study within the area of Gulf Cooperative Countries (GCC). This area has been chosen as it provides a good airlines-based industry which is mature. A comprehensive and critical assessment of different KM models was made through a review of the available studies in order to evaluate KM and to identify the processes that affect OP. This research proposes a conceptual model that represents KM processes and OP measurements. This research adopts a qualitative research approach through a case study strategy to identify and test a conceptual model proposed from the literature review. Four international airlines companies were investigated through extensive face-to-face semi-structure interviews, followed by observations, and documentation with managers, senior managers, general managers (GMs) and vice presidents (VPs) to produce accurate results. Data findings were then reported and analysed. The main finding revealed that most studies relating to knowledge management processes and their effect on organisational performance took place in different sectors other than the AI. Also, KM processes and their effect on OP appear to be neglected, leading to conflicts in KM adoption. However, KM processes are applicable in the AI and these processes are not only used and implemented, but are also perceived as important in influencing positive OP. The only KM processes that generally received less support from the participants in terms of perceived effectiveness in affecting positive OP were knowledge translation/repurposing and knowledge disposal. The main contribution of this research is a novel model for KM processes and OP. This model serves as a guideline for the stakeholder and decision maker to be adopted in organisations to lead to more effective implementation and adoption of KM disciplines. It also provides a practical guideline for future KM research which at present seems fragmented within the AI. The suggestion for future research is to further validate and improve the generalisability of the KM processes model to the entire AI in the world and across other industries. Moreover, due to the time constraints and lack of funding, there were no attempts made in this research to assemble a sample that is representative of all the airlines in the world. In order to increase the generalisability of the results of this study, the sample size needs to be expanded and quantitative research might be considered.
Supervisor: Alshawi, S.; Ghoniem, A. Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: Knowledge creation and acquisition ; Knowledge modification and use ; Knowledge archiving, transfer, translate, user access, and disposal ; Qualitative interviews ; Gulf cooperative council (GCC) countries