Open AccessDissertation
Modelling SoftwareProject Management Complexity- An Assessment Model
Vyron Damasiotis
- 01 Feb 2018
3
TL;DR: The proposed framework can be used in order to highlight the most significant complexity areas either organisation specific or project specific, providing in that way the necessary awareness for better, efficient and effective project management.
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Abstract: During the last years, more and more business use projectised organisation as an organisation structure to tackle complex problems needed for the implementation of their strategic objectives. A significant number of these projects were/are challenged or even failed to meet their initial requirements in terms of cost, time and quality. This phenomenon is more intense in software projects due their special characteristics sourcing from the dynamic and continuous changing environment they operate and the nature of the software itself. Most of these failures were attributed to complexity that exists in various forms and levels at all projects. Many studies attempted to identify the sources of project complexity and define an appropriate complexity typology for capturing it. However, most of these studies are theoretical and only a limited number is proposing models capable to evaluate or measure project complexity. This research, acknowledges the endogenous character of complexity in projects but instead of trying to identify complexity dimensions of this complexity in projects, focuses on the complexity in the interfaces between project processes, project management processes and project managers, which consists of the critical point for successful project execution. The proposed framework can be used in order to highlight the most significant complexity areas either organisation specific or project specific, providing in that way the necessary awareness for better, efficient and effective project management. The approach followed in framework design, identifies the variation of perception of complexity between different organisations. Allow organisations to evaluate complexity of projects and provide them with an important information that will assist project selection process. Identifies the significance of peoples’ knowledge and experience and generally the maturity/capabilities of an organisation in management in order to handle complexity, as this was revealed through the findings of this research. Furthermore, considers complexity as variable that can be measured and propose a model for it. To implement this framework, an extended literature review was initially performed, for identifying the complexity factors sourcing from project management aspects. Subsequently, statistical methods for processing and refining the identified factors were used, resulting to the final set of measures used in the framework. Finally, the proposed model was validated through the appliance of case study methodology
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Citations
Patterns of complexity: The thermometer of complexity
Joana Geraldi
- 01 Jan 2006
TL;DR: The paper suggests and tests a method for assessing the perception of complexity in projects anchored with the concept of Pattern of Complexity, and indicates that the Patter of complexity can indeed serve as a thermometer of complexity.
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References
Firm Resources and Sustained Competitive Advantage
TL;DR: In this article, the authors examined the link between firm resources and sustained competitive advantage and analyzed the potential of several firm resources for generating sustained competitive advantages, including value, rareness, imitability, and substitutability.
51.8K
•Book
Discovering Statistics Using SPSS
Andy P. Field,Jeremy N.V. Miles +1 more
- 01 Jan 2000
TL;DR: Suitable for those new to statistics as well as students on intermediate and more advanced courses, the book walks students through from basic to advanced level concepts, all the while reinforcing knowledge through the use of SAS(R).
32.2K
The scree test for the number of factors
TL;DR: The Scree Test for the Number Of Factors this paper was first proposed in 1966 and has been used extensively in the field of behavioral analysis since then, e.g., in this paper.
13.7K
Toward a Theory of Stakeholder Identification and Salience: Defining the Principle of who and What Really Counts
TL;DR: In this paper, a theory of stakeholder identification and saliency based on stakeholders possessing one or more of three relationship attributes (power, legitimacy, and urgency) is proposed, and a typology of stakeholders, propositions concerning their saliency to managers of the firm, and research and management implications.
11.7K
•Journal Article
Best Practices in Exploratory Factor Analysis: Four Recommendations for Getting the Most from Your Analysis
TL;DR: In this paper, the authors collect, in one article, information that will allow researchers and practitioners to understand the various choices available through popular software packages, and to make decisions about "best practices" in exploratory factor analysis.