Exploring Project Complexity through Project Failure Factors: Analysis of Cluster Patterns Using Self-Organizing Maps
In the field of project management, complexity is closely related to project outcomes and hence project success and failure factors. Subjectivity is inherent to these concepts, which are also influenced by sectorial, cultural, and geographical differences. While theoretical frameworks to identify or...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/9496731 |
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| _version_ | 1832563654406438912 |
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| author | Vicente Rodríguez Montequín Joaquín Villanueva Balsera Sonia María Cousillas Fernández Francisco Ortega Fernández |
| author_facet | Vicente Rodríguez Montequín Joaquín Villanueva Balsera Sonia María Cousillas Fernández Francisco Ortega Fernández |
| author_sort | Vicente Rodríguez Montequín |
| collection | DOAJ |
| description | In the field of project management, complexity is closely related to project outcomes and hence project success and failure factors. Subjectivity is inherent to these concepts, which are also influenced by sectorial, cultural, and geographical differences. While theoretical frameworks to identify organizational complexity factors do exist, a thorough and multidimensional account of organizational complexity must take into account the behavior and interrelatedness of these factors. Our study is focused on analyzing the combinations of failure factors by means of self-organizing maps (SOM) and clustering techniques, thus getting different patterns about the project managers perception on influencing project failure causes and hence project complexity. The analysis is based on a survey conducted among project manager practitioners from all over the world to gather information on the degree of influence of different factors on the projects failure causes. The study is cross-sectorial. Behavioral patterns were found, concluding that in the sampled population there are five clearly differentiated groups (clusters) and at least three clear patterns of answers. The prevalent order of influence is project factors, organization related factors, project manager and team members factors, and external factors. |
| format | Article |
| id | doaj-art-aef1445cc8b442299b86ac1332beccc4 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-aef1445cc8b442299b86ac1332beccc42025-02-03T01:12:58ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/94967319496731Exploring Project Complexity through Project Failure Factors: Analysis of Cluster Patterns Using Self-Organizing MapsVicente Rodríguez Montequín0Joaquín Villanueva Balsera1Sonia María Cousillas Fernández2Francisco Ortega Fernández3Project Engineering Area, University of Oviedo, C/Independencia 13, 33004 Oviedo, SpainProject Engineering Area, University of Oviedo, C/Independencia 13, 33004 Oviedo, SpainProject Engineering Area, University of Oviedo, C/Independencia 13, 33004 Oviedo, SpainProject Engineering Area, University of Oviedo, C/Independencia 13, 33004 Oviedo, SpainIn the field of project management, complexity is closely related to project outcomes and hence project success and failure factors. Subjectivity is inherent to these concepts, which are also influenced by sectorial, cultural, and geographical differences. While theoretical frameworks to identify organizational complexity factors do exist, a thorough and multidimensional account of organizational complexity must take into account the behavior and interrelatedness of these factors. Our study is focused on analyzing the combinations of failure factors by means of self-organizing maps (SOM) and clustering techniques, thus getting different patterns about the project managers perception on influencing project failure causes and hence project complexity. The analysis is based on a survey conducted among project manager practitioners from all over the world to gather information on the degree of influence of different factors on the projects failure causes. The study is cross-sectorial. Behavioral patterns were found, concluding that in the sampled population there are five clearly differentiated groups (clusters) and at least three clear patterns of answers. The prevalent order of influence is project factors, organization related factors, project manager and team members factors, and external factors.http://dx.doi.org/10.1155/2018/9496731 |
| spellingShingle | Vicente Rodríguez Montequín Joaquín Villanueva Balsera Sonia María Cousillas Fernández Francisco Ortega Fernández Exploring Project Complexity through Project Failure Factors: Analysis of Cluster Patterns Using Self-Organizing Maps Complexity |
| title | Exploring Project Complexity through Project Failure Factors: Analysis of Cluster Patterns Using Self-Organizing Maps |
| title_full | Exploring Project Complexity through Project Failure Factors: Analysis of Cluster Patterns Using Self-Organizing Maps |
| title_fullStr | Exploring Project Complexity through Project Failure Factors: Analysis of Cluster Patterns Using Self-Organizing Maps |
| title_full_unstemmed | Exploring Project Complexity through Project Failure Factors: Analysis of Cluster Patterns Using Self-Organizing Maps |
| title_short | Exploring Project Complexity through Project Failure Factors: Analysis of Cluster Patterns Using Self-Organizing Maps |
| title_sort | exploring project complexity through project failure factors analysis of cluster patterns using self organizing maps |
| url | http://dx.doi.org/10.1155/2018/9496731 |
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