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https://ptsldigital.ukm.my/jspui/handle/123456789/513312Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Elankovan A. Sundararajan, Assoc. Prof. Dr. | - |
| dc.contributor.author | Alkhansa Alawi Shakeabubakor B. (P59447) | - |
| dc.date.accessioned | 2023-10-16T04:35:26Z | - |
| dc.date.available | 2023-10-16T04:35:26Z | - |
| dc.date.issued | 2018-03-30 | - |
| dc.identifier.other | ukmvital:100120 | - |
| dc.identifier.uri | https://ptsldigital.ukm.my/jspui/handle/123456789/513312 | - |
| dc.description | Cloud-based applications (SaaS) is a part of cloud computing services which providing amount of online applications that located in the infrastructure of the cloud through the Internet connection. This creates better opportunities for academics to improve their outcomes, such as knowledge, skills, experiences, performance of their works. Despite the potential of cloud computing applications in the services delivery, it is still not fully adopted in the academic researchers ‘community. The success of cloud applications depend on the quality factor of inputs and outputs. There is also a strong correlation between cloud applications and productivity. This study seeks to identify the factors that contribute to improving productivity using an academic cloud software portal. This research adopted mixed methods for collecting data through three phases. The first phase was fundamental to determining the research model of this study by conducting in-depth interviews to identify the factors affecting research productivity. The sample comprised interviews with 30 postgraduate students. The second phase was to validate the developed cloud-based applications model to improve productivity. A survey questionnaire was administered to online university researchers. Data was collected from 800 respondents using a purposive sampling technique. Results showed that Data Centre Network Quality (DCNQ), System Quality (SYQ), Content Quality (CCQ), Intention to Use (ITU) and User Satisfaction (USA) are the most important dimensions for improving individual productivity. DCNQ and SYQ are the strongest predictor on Individual Impact (IIM). ITU and USA were mediators between quality factors and IIM. Continuous improvement was achieved through the positive results of direct effect, mediating effect, correlation effect and dependent variable results. The third phase was to implement the finding of the above two phases and present a practical example that reflects the academic researcher’ requirements for cloud application. The R-CAPP portal was developed using a software development methodology. An expert and user-based evaluation methods were used to evaluate the R-CAPP based on ISO/IEC 9126-2 & 3 criteria. Evaluation results showed that the R-CAPP increased the researchers’ productivity and eliminate wastes through the high rates of the external quality and quality-in-use.,Certifucation of Master's/Doctoral Thesis" is not available | - |
| dc.language.iso | eng | - |
| dc.publisher | UKM, Bangi | - |
| dc.relation | Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat | - |
| dc.rights | UKM | - |
| dc.subject | Internet | - |
| dc.subject | Research | - |
| dc.subject | Cloud computing | - |
| dc.title | The success model of cloud-based applications to improve individual impact among university researchers | - |
| dc.type | Theses | - |
| dc.format.pages | 361 | - |
| dc.identifier.callno | QA76.585.A433 2018 3 tesis | - |
| Appears in Collections: | Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat | |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| ukmvital_100120+SOURCE1+SOURCE1.0.PDF Restricted Access | 633.03 kB | Adobe PDF |  View/Open |
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