Measuring Information Systems Project Complexity: A Structural Equation Modelling Approach
Complexity has emerged as the new norm in the 21st century, and IS projects play a significant role in organisations to address various socio-political concerns. The purpose of this paper is to understand what are the relevant constructs for measuring IS project complexity. A model for measuring IS...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/5907971 |
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| _version_ | 1832547693611712512 |
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| author | Nazeer Joseph Carl Marnewick |
| author_facet | Nazeer Joseph Carl Marnewick |
| author_sort | Nazeer Joseph |
| collection | DOAJ |
| description | Complexity has emerged as the new norm in the 21st century, and IS projects play a significant role in organisations to address various socio-political concerns. The purpose of this paper is to understand what are the relevant constructs for measuring IS project complexity. A model for measuring IS project complexity is developed using PLS-SEM. The model reveals that organisational complexity, technical complexity, and uncertainty underpin IS project complexity. Organisational complexity in terms of project team, stakeholder management, and strategic drive should be managed by the project manager. Technical complexity was established in terms of project goals, requirements management, technology management, and norms and standards. Uncertainty in IS projects exists in terms of skills management, the triple constraint, and activity management. Suggestions were provided to guide IS project managers on how to manage each construct and alleviate the level of project complexity. This paper presents an updated and different perspective on measuring and managing IS project complexity. The findings would serve as additional building blocks to further elucidate IS project complexity understanding and assist with improving the value of these projects. Furthermore, the suggestions for IS project managers can lead discussions around how IS projects should be managed to ensure complexity is under control. |
| format | Article |
| id | doaj-art-31f1b7b248b34988a4e5bde465305d56 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-31f1b7b248b34988a4e5bde465305d562025-02-03T06:43:46ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/59079715907971Measuring Information Systems Project Complexity: A Structural Equation Modelling ApproachNazeer Joseph0Carl Marnewick1Department of Applied Information Systems, University of Johannesburg, Johannesburg 2001, South AfricaDepartment of Applied Information Systems, University of Johannesburg, Johannesburg 2001, South AfricaComplexity has emerged as the new norm in the 21st century, and IS projects play a significant role in organisations to address various socio-political concerns. The purpose of this paper is to understand what are the relevant constructs for measuring IS project complexity. A model for measuring IS project complexity is developed using PLS-SEM. The model reveals that organisational complexity, technical complexity, and uncertainty underpin IS project complexity. Organisational complexity in terms of project team, stakeholder management, and strategic drive should be managed by the project manager. Technical complexity was established in terms of project goals, requirements management, technology management, and norms and standards. Uncertainty in IS projects exists in terms of skills management, the triple constraint, and activity management. Suggestions were provided to guide IS project managers on how to manage each construct and alleviate the level of project complexity. This paper presents an updated and different perspective on measuring and managing IS project complexity. The findings would serve as additional building blocks to further elucidate IS project complexity understanding and assist with improving the value of these projects. Furthermore, the suggestions for IS project managers can lead discussions around how IS projects should be managed to ensure complexity is under control.http://dx.doi.org/10.1155/2021/5907971 |
| spellingShingle | Nazeer Joseph Carl Marnewick Measuring Information Systems Project Complexity: A Structural Equation Modelling Approach Complexity |
| title | Measuring Information Systems Project Complexity: A Structural Equation Modelling Approach |
| title_full | Measuring Information Systems Project Complexity: A Structural Equation Modelling Approach |
| title_fullStr | Measuring Information Systems Project Complexity: A Structural Equation Modelling Approach |
| title_full_unstemmed | Measuring Information Systems Project Complexity: A Structural Equation Modelling Approach |
| title_short | Measuring Information Systems Project Complexity: A Structural Equation Modelling Approach |
| title_sort | measuring information systems project complexity a structural equation modelling approach |
| url | http://dx.doi.org/10.1155/2021/5907971 |
| work_keys_str_mv | AT nazeerjoseph measuringinformationsystemsprojectcomplexityastructuralequationmodellingapproach AT carlmarnewick measuringinformationsystemsprojectcomplexityastructuralequationmodellingapproach |