Showing items 1 - 8 of 8

Your selections:

A predictive model for information technology project success

  • Authors: Joseph, Nazeer
  • Date: 2014-05-05
  • Subjects: Information technology , Project management , Organizational effectiveness , Creative ability in business
  • Type: Thesis
  • Identifier: uj:10916 , http://hdl.handle.net/10210/10490
  • Description: M.Com. (Information Technology Management) , Information and communication technology (ICT) project success is considered the Holy Grail within many organisations. Over the past decade organisations have begun to realise the increasing importance and the potential of exploiting ICT to gain competitive advantage in their particular realm. Organisations have consequently pushed for the implementation of robust ICT solutions not only to facilitate and augment crucial decision-making processes, but to improve overall organisational efficiency and effectiveness as well. These ICT solutions are deployed via ICT projects. However, extensive research has revealed that ICT projects are continuing to fail at a disturbing rate nationally as well as internationally. ICT projects therefore have an infamous reputation within organisations and the project management domain. This research focused on determining what drives ICT project success by systematically investigating how ICT project success is perceived and measured as well as the factors which influence it. The quantitative research paradigm was implemented through the use of a survey in the form of a structured questionnaire. Although this research was cross-sectional in nature, it employed an element of longitudinal analysis as the results were scrutinised and compared with previous research conducted within the same research area. ICT project team members were randomly sampled to acquire an objective view of ICT project success. Moreover, this research revolved around the philosophy that if the significance of each influencing factor is understood, it should be possible to predict whether an ICT project will succeed or fail. A predictive modelling approach was adopted. This predictive model presented within this dissertation was constructed using structural equation modelling (SEM). The predictive model indicated that ICT project success is predicted by means of stakeholder management, communication and methodology. The model also indicated that these three factors are interrelated and are dependent on one another. It was established that overall project success is dependent on project management success and project product success. This research employed a technique which is rarely used within the project management or ICT project management domain, viz. SEM. Two key recommendations emerged from this research. Firstly, this research suggests that it may be time to re-evaluate how ICT projects are measured as well as the influencing factors, as traditional approaches are yet to accommodate ICT projects in particular. Secondly, this research suggests that researchers should start to explore the underlying constructs of communication as this could assist in addressing a fundamental flaw not only in ICT project management, but project management in general.
  • Full Text:

Conceptualising a multidimensional model of information communication and technology project complexity

  • Authors: Joseph, Nazeer
  • Date: 2017
  • Language: English
  • Type: Article
  • Identifier: http://hdl.handle.net/10210/248882 , uj:25886 , Citation: Joseph, N. 2017. Conceptualising a multidimensional model of ICT project complexity. South African Journal of Information Management 19(1), a825. https://doi.org/10.4102/ sajim.v19i1.825 , ISSN: 1560-683X (Online) , ISSN: 2078-1865 (Print)
  • Description: Abstract: Background: Information communication and technology (ICT) projects are different to other projects, such as construction, and require a new perspective to determine their true nature. The lacklustre state of ICT projects has plagued researchers and practitioners for decades as they are yet to understand why ICT projects do not perform. Literature places significant emphasis on success criteria and success factors for determining project success but this is a unilateral view as the level of complexity involved is underestimated. ICT projects however are multifaceted as there are a number of dimensions which influence the management and outcome of a project. Objectives: This paper aimed to illuminate how the dimensions are interdependent and interconnected through the construction of a conceptual model of ICT project complexity. Methods: Content analysis was used to identify and understand the various dimensions and facilitated construction of the model. Results: The paper identified five dimensions which effect ICT projects, viz. project success, project lifecycle, project complexity, project types and project methods. Each dimension was analysed to understand the key constructs and elements which need to be considered. The dimensions were mapped in a multidimensional model. Conclusion: The multidimensional model of ICT project complexity can be used by ICT project managers to more effectively manage projects as they are provided with a greater understanding of ICT project influences.
  • Full Text:

The symbiosis between information system project complexity and information system project success

Infusing African management philosophy into project management

Investing in project management certification : do organisations get their money’s worth?

A multidimensional predictive model for information systems project complexity

  • Authors: Joseph, Nazeer
  • Date: 2019
  • Language: English
  • Type: Doctoral (Thesis)
  • Identifier: http://hdl.handle.net/10210/419520 , uj:35677
  • Description: Abstract: Information system (IS) projects are renowned for underperforming and producing questionable results. This is evident by the poor performance of IS projects at both global and South African level. The financial impact of failed and challenged IS projects is significant and cannot continue. Project success, however, is a misnomer which has been the topic of multiple research endeavours. There are numerous views of project success, viz. a two-dimensional, four-dimensional and five-dimensional view. IS project success is best understood through the five-dimensional view. This view entails process success, project management success, product success, business success and strategic success. These five dimensions can exist in isolation but ultimate IS project success is realised when all dimensions are aligned and realised. There is a knock-on effect between each dimension as they contribute to each other and enhance each subsequent level. A possible explanation for lacklustre performance is the ever-increasing complexity of the project management landscape. IS project complexity consists of five constructs: organisational complexity, technical complexity, environmental complexity, dynamics and uncertainty. A total of 75 features underpin the 5 IS project complexity constructs. Organisational complexity dominates with 34 features, and technical and environmental complexity have 12 and 13 features,respectively. Dynamics has 6 features and uncertainty has 10. The fundamental research problem is that there is little understanding of the relationship between IS project success and IS project complexity. This research therefore sought to develop a predictive model of IS project complexity by contextualising its relationship with IS project success. A complex adaptive systems approach was adopted to show the complex interconnected relationship between all the constructs. Firstly, this research established the 39 significant and relevant IS project complexity indicators which occur during IS project execution. Being aware of these indicators provides a benchmark for identifying, measuring and monitoring complexity during an IS project. Awareness is the first step to addressing IS project complexity. Secondly, it was established that 3 constructs substantially predict IS project complexity, viz. organisational complexity, technical complexity and uncertainty. Thirdly, the constructs of IS project success were reduced to process success, deliverable success and strategic success. Finally, the predictive model showed that IS project complexity significantly influences process success and deliverable success and that process success influences deliverable success, which in turn influences strategic success. This research details the exact success and complexity indicators that need to be considered when embarking on an IS project. This contributes to contextualising the relationship between IS project success and complexit. , Ph.D. (Information Technology Management)
  • Full Text:

An empirical analysis of residential meter degradation in Gauteng Province, South Africa

  • Authors: Fourie, Ryan , Marnewick, Annlizé L. , Joseph, Nazeer
  • Date: 2020
  • Subjects: water meter degradation , Residential meters , Apparent losses
  • Language: English
  • Type: Article
  • Identifier: http://hdl.handle.net/10210/455214 , uj:40282 , Citation: Fourie, R., Marnewick, A.L. & Joseph, N. 2020. An empirical analysis of residential meter degradation in Gauteng Province, South Africa. , DOI: https://doi.org.10.17159/wsa/2020.v46.i4.9078 , ISSN: (online) 1816-7950
  • Description: Abstract: Understanding the degradation rates of water meters assists utilities in making informed management decisions regarding meter replacement programmes and meter technology selection. This research evaluated the performance of 200 residential meters of two different technologies commonly used in Gauteng, South Africa, namely velocity meters and volumetric meters. This was done by conducting empirical meter testing in a verification laboratory and evaluating the degradation accuracy of each meter technology based on age and volume. Results indicate that velocity meters experience an accuracy degradation rate of approximately −1.13% per 1 000 kL of volume passed through the meter and an inferred initial error of −10.80%. Meter accuracy was not strongly related to age of the velocity meters tested. Volumetric meters did not exhibit a strong link with either age or accumulated volume, indicated by a loose grouping of results. These results indicate that accumulated volume of a velocity meter is a more reliable predictor of accuracy than age, and should be used when planning replacement strategies for velocity meters. Additionally, the lack of predictable degradation rates related to either age or accumulated volume for volumetric meters indicates that the accuracy of volumetric meters is primarily affected by other external factors, such as particulates or entrained air in the water network. These findings will assist utility managers in predicting the accuracy of their meter fleet and in making informed decisions regarding meter replacement.
  • Full Text:

The design of a Bayesian Network Model for increasing the number of graded tourism establishments

  • 1
  • Disclaimer
  • Privacy
  • Copyright
  • Contact