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• W2368163397 abstract "The Saudi Arabian Government has recognised the need for an alternative path to national development in the form of a knowledge-based economy (KBE). So that they can achieve this aim, it is important to understand the socio-technical enablers (STE) of a KBE initiative, particularly with regards to the phenomenon of knowledge-sharing. One of the key drivers of a knowledge-based economy KBE is innovation. A must-have core competency for the adopting organisation is the ability to manage their innovation capability.A conceptual model developed in the thesis to investigate what is required to achieve that organisational innovation capability contains four construct domains: socio-technical enablers (STEF); diffusion of innovation (DOI) dimensions; knowledge-sharing processes (KSP); and organisational innovation capability (OIC). This thesis demonstrates the extent to which STE combine with the dimensions of the DOI to result in processes of knowledge-sharing. Ultimately, successful OIC will depend on the interrelation of these factors.This empirical research study was conducted to provide a better understanding on the model interrelationships among the key constructs: knowledge-sharing, socio-technical factors, DOI adoption characteristics, KSP and OIC, within the Saudi Arabian organisational context. The key participants for this study are both managers and employees. Participants were selected from different levels in the organisation because it is very important to understand the current knowledge sharing processes underpinning innovation across the different layers and structures in the organisation. Moreover, including employees from both different levels relates to both top-down and bottom-up decision-making processes in Saudi organisations. As a result, the main objective of this study was to develop a research model that depicts the relationships between the enablers, processes and outcome constructs in Saudi Arabian firms.To empirically validate the conceptual model, this research study deployed a sequential mixed method that incorporated both quantitative and qualitative approaches of analysis. Phase one of the research study employed a quantitative method to develop the conceptual model, based on the collected data from a questionnaire targeting Saudi Arabian firms from different sectors and industries. The quantitative method used Exploratory Factor Analysis (EFA), a Confirmatory Factor Analysis (CFA), and Structural Equation Modelling (SEM). EFA and CFA were carried out to find the suitable model structures and then SEM and correlation analysis were performed to assess and refine the conceptual model by evaluating the relationships and test the hypotheses between the constructs.The results reveal three statistically significant relationships:STF→ KSP→ OIC, which shaped an essential part of the final empirical model as the relationships among the Enablers → Processes → Outcomes.Based on the phase one results, a qualitative research method was carried out as a second phase of the analysis phase,…" @default.
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• W2368163397 date "2014-01-01" @default.
• W2368163397 modified "2023-09-28" @default.
• W2368163397 title "The influence of socio-technical factors on knowledge-sharing towards innovation in Saudi Arabia : a knowledge-based innovation capability prespective" @default.
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