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https://ptsldigital.ukm.my/jspui/handle/123456789/513394
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DC Field | Value | Language |
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dc.contributor.advisor | Nur Fazidah Elias, Dr. | - |
dc.contributor.author | Ghassan A.O. Abusamhadana (P88786) | - |
dc.date.accessioned | 2023-10-16T04:36:12Z | - |
dc.date.available | 2023-10-16T04:36:12Z | - |
dc.date.issued | 2019-06-25 | - |
dc.identifier.other | ukmvital:122139 | - |
dc.identifier.uri | https://ptsldigital.ukm.my/jspui/handle/123456789/513394 | - |
dc.description | Information systems users are an essential source of knowledge that is critical to the system development process. Systems users must be engaged in the development process to determine important requirements, test the final code, and evaluate the prototypes. User engagement is a term that combines both factors: user participation and user involvement, and it defined as the behavioral and psychological activities that users provide during information systems development. A few previous researches have claimed that the two factors of user engagement; user participation and user involvement, contribute positively to information systems success. However, there is still no common understanding of measuring and validating the effect of these two factors. Moreover, user engagement itself is not fully understood and still a complex concept that needs to be explored. This study aims to provide an integrated model for user engagement in information systems development. The study used a mixed-method approach, employing both qualitative and quantitative methods. A qualitative method was applied to verify factors of user engagement that were derived from the literature review, and to identify the relationships between the derived factors. An a-priori model of user engagement in information systems development is then proposed. A quantitative method was employed to validate the (a-priori) model. Questionnaires were distributed to the users, developers, system analysts, and managers who have engaged in any information systems development projects at seven higher learning institutions in Malaysia. Findings showed that eight out of 12 initial factors are significant. These eight factors can facilitate in the understanding on how to implement user engagement in information systems development effectively. The predictive power of the model expresses 57% of effective user engagement. The model helps in understanding the degree of effective user engagement to information systems vendors, managers, decision makers, and practitioners that they can avoid failures in information systems development. In addition, the outcome of this study enriches the existing knowledge about the state of user engagement in Malaysia. This study recommends further research in user engagement area for discovering other variables that affect user engagement in information system development.,Ph.D. | - |
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 | Universiti Kebangsaan Malaysia -- Dissertations | - |
dc.subject | Dissertations, Academic -- Malaysia | - |
dc.subject | Human-computer interaction | - |
dc.subject | Information resources management | - |
dc.subject | Management information systems | - |
dc.title | User engagement factors affecting the development of information systems | - |
dc.type | Theses | - |
dc.format.pages | 265 | - |
dc.identifier.callno | QA76.9.H85A238 2019 3 tesis | - |
dc.identifier.barcode | 005548(2021)(PL2) | - |
Appears in Collections: | Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat |
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ukmvital_122139+SOURCE1+SOURCE1.0.PDF Restricted Access | 34.22 MB | Adobe PDF | View/Open |
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