Performance plumbing: Installing performance management systems to deliver lasting value

Purpose - The purpose of this paper is to explore the concept of performance plumbing, arguing that too often performance management systems in organisations are not correctly installed. Without the appropriate plumbing, performance management systems do not drive organisational change and improvement. Design/methodology/approach - The paper draws on the consultancy experiences of two of the authors, as well as the research of the third. Specific case examples are provided throughout the paper to illustrate the points being made. Findings - The paper argues that the key elements of a plumbed-in performance management system are: performance architecture; performance insights; performance focus; and performance action. Taken together, these four elements provide the necessary plumbing to enable performance management systems to deliver real value. Research limitations/implications - The paper draws on the experience of the authors, rather than a formally designed piece of research. The ideas presented in the paper would therefore benefit from further investigation and testing. Originality/value - The paper will be valuable to scholars and practitioners interested in ensuring that performance management systems deliver lasting value. © Emerald Group Publishing Limited.

Content Based Integration of Construction Site Images in Architecture, Engineering, Construction, and Facilities Management (AEC/FM) Model based Systems

This book explores the processes for retrieval, classification, and integration of construction images in AEC/FM model based systems. The author describes a combination of techniques from the areas of image and video processing, computer vision, information retrieval, statistics and content-based image and video retrieval that have been integrated into a novel method for the retrieval of related construction site image data from components of a project model. This method has been tested on available construction site images from a variety of sources like past and current building construction and transportation projects and is able to automatically classify, store, integrate and retrieve image data files in inter-organizational systems so as to allow their usage in project management related tasks. objects. Therefore, automated methods for the integration of construction images are important for construction information management. During this research, processes for retrieval, classification, and integration of construction images in AEC/FM model based systems have been explored. Specifically, a combination of techniques from the areas of image and video processing, computer vision, information retrieval, statistics and content-based image and video retrieval have been deployed in order to develop a methodology for the retrieval of related construction site image data from components of a project model. This method has been tested on available construction site images from a variety of sources like past and current building construction and transportation projects and is able to automatically classify, store, integrate and retrieve image data files in inter-organizational systems so as to allow their usage in project management related tasks.