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2. PHD Thesis / Tesis PHD
3. Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat

Title:	A new financial information system quality model for enhancing corruption reduction strategy
Authors:	Ali Ali Abdulbaqi Ameen (P54820)
Supervisor:	Kamsuriah Ahmad, Associate Prof. Dr.
Keywords:	Information resources management
Issue Date:	10-Oct-2014
Description:	Financial Information Systems (FIS) are an integral part of business and is fundamental for stability, sustainability, and growth of an organization. In recognition of the importance of FIS, various countries and international organizations started to invest in such systems. These systems were designed with focusing on the system quality aspects. At the same time, various information systems and their applications have received substantial consideration as appropriate modes to reduce corruption; but, (FISs) have not drawn attention to this. Past research found that information system quality have not been carried out to investigate harnessing the FIS on Anti-Corruption Strategies (ACS). The literatures clarify the lack of interaction between the two streams of research areas, FIS and ACS. Furthermore, not much research done on investigating the critical factors of FIS affecting corruption. In addition, the researches in this field revealed the lack of existing robust model to enhance the quality of FIS for assisting in reducing corruption, in the context of the public finance sector. Therefore, the main objective of this study is to develop a Financial Information System Quality Model for Enhancing Anti-Corruption Strategies based on the information system success theory and the theory of the principal agent. Quantitative approach is used which consists of four steps. First, it investigates the underlying factors within the FIS and ACS that have influences on reducing corruption and statistically describes the investigated factors. Second, analysis the correlation between the explored and investigated factors, and verifies the psychometric properties of the hypothesized measurement model, to fit the data. Third, identify the significant factors that would boost FIS to reduce corruption. Fourth, develop and validate the FIS anti-corruption model. An electronic survey questionnaire has been conducted for quantitative data collection. The target group of respondents are from both FIS staff and financial staff. The respondents are working at financial, governmental agencies in the public sectors, in Yemen. The stratified proportionate sampling technique was used to get 396 data. The descriptive and demographic profiles of the sampling have been obtained by using SPSS 21. In order to develop the proposed model, Structural Equation Modelling (SEM) and AMOS v21 software have been utilized. Statistical analysis techniques including first and second order of confirmatory factor analysis (CFA) were used. The findings reveal that all the fit indices satisfy the recommended range of values which assumed the model developer to be acceptable. The results revealed that the model fitness is appropriate and indicate the stability of the theory used in building the model. This study could help shape the direction of both theoretical and empirical studies on anti-corruption, specifically on enhancing FISs in order to reduce corruption. This study could play a significant role in explaining the complex relationships between the related factors and the quality of FISs to facilitate the anti-corruption process,Ph.D
Pages:	286
Call Number:	T58.64 .A438 2014 3
Publisher:	UKM, Bangi
Appears in Collections:	Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat

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