This chapter looks at how communication, coordination, and collaboration are affected by matrices of input variations in construction, that is, through elements of interaction, monitoring, and governance (activities). It explores the diversity of inputs such as stakeholders, project demands, and environmental forces that add variability to construction processes and affect project outcomes. It explores how variations in the input matrix introduce transitional states giving rise to misalignment, misinterpretation, delays, and conflicts further leading to increased cost, prolonged timeline, and disturbing the workflow. The chapter uses case studies and real examples to provide strategies to mitigate these impacts and encourage successful stakeholder partnerships. Moreover, it highlights technology and project management methodologies in controlling input matrix variations to identify the various tools and tricks to maximize project results. Construction professionals get a real-time overview of project performance and success with this knowledge of variation.

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Impact of Input Matrix Variation on Communication and Collaboration in Construction

  • Ameet Sao,
  • Nitesh Rohilla

摘要

This chapter looks at how communication, coordination, and collaboration are affected by matrices of input variations in construction, that is, through elements of interaction, monitoring, and governance (activities). It explores the diversity of inputs such as stakeholders, project demands, and environmental forces that add variability to construction processes and affect project outcomes. It explores how variations in the input matrix introduce transitional states giving rise to misalignment, misinterpretation, delays, and conflicts further leading to increased cost, prolonged timeline, and disturbing the workflow. The chapter uses case studies and real examples to provide strategies to mitigate these impacts and encourage successful stakeholder partnerships. Moreover, it highlights technology and project management methodologies in controlling input matrix variations to identify the various tools and tricks to maximize project results. Construction professionals get a real-time overview of project performance and success with this knowledge of variation.