Almajed, Abdulaziz (2017) Information Technology Project Success in Saudi Arabian Public Organisations: Chief Information Officers’ Perceptions. Doctoral thesis, University of East Anglia.
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Abstract
Projects are highly critical to the survival and business continuity of any organisation. These include many IT projects that are highly important for effectively and efficiently managing business processes, data, information, and knowledge to achieve organisational goals. Success of any project is dependent on many factors, ranging from technical, organisational, and behavioural factors.
The main objective of this research is to investigate and develop the success model of IT projects in Saudi Arabian public organisations from the CIO perspectives. Accordingly, this research seeks to develop the research conceptual framework of IT project success, by identifying the relevant critical success factors (CSF) of IT projects, identifying the criteria for project success (PSC), examining the measurement model through relationship between CSF and PSC, and subsequently examining the possible relationships between the focus variables (CSF and PSC) and CIO demographics, organisational, and IT characteristics. To achieve these objectives, the research employs deductive approach using questionnaire surveys method, and utilization of both descriptive and inferential analyses.
The literature review and exploratory analysis phase, assisted the researcher to develop the research conceptual framework by identifying the shortlisted CSF constructs. These CSFs are: top management support and commitment, strategic planning, project management, project team competency, communication management, stakeholders’ management, partners and suppliers management, and training and education. The PSC constructs are identified with six items comprising of criteria from conventional project management (triple constraint) and IS success model. The factor analysis led the criteria to be categorized into project short term success called project management success (PMS) and long-term success called project success (PS).
In the next analysis phase, descriptive analysis was performed to identify the characteristics of organisations (type, size), IT (governance, budget), the CIOs such age, gender, CIO type, etc. Subsequently, the reliability test was performed to ensure the reliability and validity of the constructs measured in the study using structural modelling (PLS). Accordingly, the effect of CIO characteristics on the CSF and PSC was checked using ANOVA, and the results indicate that most of the characteristics have weak or no significant influence with either CSF or PSC. Therefore, these demographic characteristics are not moderating the effect of CSF and PSC in the analysis that follows.
Further analysis using the PLS bootstrap procedure was conducted to test the project success model by verifying the measurement model as well as the impact of CSF (independent variables) on PSC (dependent variables). The results show that top management support, project management availability and stakeholder management had significant effect on the project success (PS). Whereas, project management availability also led to project success through the short-term project management success (PMS). Both PS and PMS are considered important and significant criteria for project success.
The results also indicate that there is a strong reliability of the measurement model, as well as a strong contribution of the composite of all the eight factors in project success. Such A significant result is also attributed to a few critical success factor constructs, which are predominantly by top management support, project management availability and stakeholder management availability.
Findings from this research are considered highly important as few researchers have investigated project success from the CIOs point of view. Their collective perceptions can be used more objectively and accurately by organisations to ensure the success of IT projects and to ensure the success of their IT strategic goals.
Item Type: | Thesis (Doctoral) |
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Faculty \ School: | Faculty of Science > School of Computing Sciences |
Depositing User: | Jackie Webb |
Date Deposited: | 29 Oct 2018 12:19 |
Last Modified: | 29 Oct 2018 12:19 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/68695 |
DOI: |
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