Factors affecting knowledge sharing intention on innovation capabilities among faculty members of selected public universities in Malaysia and Bangladesh /
Factors that influence faculty members' intention on Knowledge Management (KM) and Knowledge Sharing (KS) have an important role in the success of proper decision-making process for improving the performance of universities. ICT Tools when integrated with individual and organizational anteceden...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
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Kuala Lumpur :
Kulliyyah of Information and Communication Technology, International Islamic University Malaysia,
2017
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| Subjects: | |
| Online Access: | Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library. |
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| Summary: | Factors that influence faculty members' intention on Knowledge Management (KM) and Knowledge Sharing (KS) have an important role in the success of proper decision-making process for improving the performance of universities. ICT Tools when integrated with individual and organizational antecedents can improve institutional KM&KS innovation capabilities. KM&KS has the potential benefits to resolve organizational problems efficiently. It can facilitate decision-making capabilities in the universities accepting some integrated contributing factors. It provides insights and avoids recapping previous mistakes, builds learning organization by learning the routine. Unluckily, prior studies claim that faculty members have a lower level of intention towards KS among colleagues. Thus, further empirical study is required to identify and understand which factors can contribute to KS for faculty members' performance. This study is aimed at exploring and identifying the factors that directly and indirectly influence on faculty members' intention towards KM&KS for universities innovation capabilities. This study has validated a theoretical model of KS practices for selected public universities. The proposed Model is based on Information Systems (IS) theory. The Theory of Planned Behaviour is anchored as the chosen framework. The Model is validated using Partial Least Squares-Structural Equation Modeling (PLS-SEM) techniques. Data was collected from 491 faculty members in 18 leading public universities in Malaysia and Bangladesh. The analyses were undertaken at three stages – Firstly; descriptive statistics was performed using SPSS. Hypotheses were tested using two-step approaches i.e., Full-fledged Structural Equation Modeling and Path Analysis using Structural Equation Model. The results have revealed 10 important antecedent factors that persuade academics' intention on KS. The results have shown academics' willingness towards knowledge sharing. The academics' knowledge sharing intention was found to be significantly influenced on innovation capabilities of the Universities (ICU). The academics' intention of accepting perceived use of ICT tools was also affected on IUC. Accordingly, academics' intention was also positively influenced on their attitude. Moreover, academics' attitude was influenced by perceived organizational rewards, and self-efficacy for higher education and training. The subjective norm was found to be influenced on perceived organizational climate, perceived leadership, and perceived organizational trust. It is interesting to note that the results show senior academics are more willing to share knowledge than junior academics. The Partial Least Squares (PLS) analysis results show that Malaysia in respect of KS intention, consuming and accepting perceived use of ICT tools lies above Bangladesh. Most interestingly, the results show that there is an insignificant relationship between the paths of perceived use of social network and attitude to share knowledge. Conversely, the results of PLS-Multigroup Analysis (MGA) show that only in terms of accepting perceived use of social network Bangladesh is doing better than Malaysia. This study comes up with a theoretical Model and helps understand the role of the universities in KM&KS initiatives. This, of course, strengthens the performance of the universities. The study has strong predictive relevance and also evidences a well-estimated Model fit. As such the decision-makers, senior academic management, researchers, and practitioner-scholars can benefit from the findings of this study. |
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| Physical Description: | xviii, 307 leaves : illustrations ; 30cm. |
| Bibliography: | Includes bibliographical references (leaves 246-267). |