Büyük İnşaat Projelerinde Karmaşıklık Yönetimi: Faktörlerin ve Değişkenlerin Belirlenmesi

Bu çalışma, “büyük projelerde karmaşıklığın ana faktörleri nelerdir?” ve “aralarında ne tür ilişkiler vardır?” sorularına cevap vermektedir. Bu çalışmanın temel amacı, büyük inşaat alanlarında proje karmaşıklığının faktörlerini ve ilişkilerini belirlemektir. Yapısal, teknolojik ve çevresel karmaşıklıklar ana temalar olarak ele alınmış ve kavramsal modelin ana bileşenlerini oluşturmuştur. Araştırma stratejisi, İran'daki büyük inşaat projelerinde çoklu vaka çalışmasıdır ve araştırma yöntemi ankettir. Seçilen vakaların proje uzmanları araştırma evrenini oluşturur ve tabakalı örnekleme yöntemi örneklem seçim yöntemidir. Araştırma popülasyonuna 300 anket dağıtılmış ve son olarak 120 tamamlanmış anket yapısal modelleme kullanılarak analiz edilmiştir. Bulgular, çevresel karmaşıklık ile proje karmaşıklığı arasında önemli bir ilişki olduğunu göstermektedir. Yani ekonomik, sosyal ve politik faktörler dâhil olmak üzere proje ortamının karmaşıklığı arttığında, projenin de karmaşıklığı artarken, 0.001 düzeyindeki hem teknolojik, hem de yapısal karmaşıklıklar proje karmaşıklığını çevreselden daha az etkilemiştir. Başka bir deyişle, İran'ın büyük projelerinde teknolojik ve yapısal karmaşıklıklar ile proje karmaşıklığı arasındaki ilişki çevresel karmaşıklıktan daha zayıftır. Dolayısıyla, son iki faktör arasındaki ilişkinin yoğunluğu literatürden biraz farklıdır.

Complexity Management in Large Construction Projects: Identifying Factors and Variables

This study answers the questions “what are the main factors of complexity in large projects?” and “what kind of relationships are there among the factors?” To answer these questions, the purpose of this research is identifying the factors of project complexity in the large construction and the relationships among them. Structural, technological, and environmental complexities considered as the main themes, and they formed the main components of the conceptual model. Research strategy is multiple case study in Iranian large construction projects, and research method is survey. The project experts of the selected cases form the research population, and stratified sampling method is the sample selection method. Accordingly, 300 questionnaires were distributed among the members, and finally 120 completed questionnaires were analyzed using structural modeling. The findings indicate that there is a significant relationship between environmental complexity and project complexity. That is, when the complexity of the project environment, including economic, social, and political factors, raise, the complexity of the project increases too, while both technological and structural complexities at the 0.001 level affect project complexity less than environmental factos. In other words, the relationships between technological and structural complexities with project complexity in Iranian large projects are weaker than environmental complexity. So, the intensity of the relationship between the last two factors is slightly different with the literature.

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