Relationship Networks in Construction Coalitions

Dr Stephen Pryke is Course Director for Project and Enterprise Management, The Bartlett School, University College London

Chapter One - Introduction . * Aim of the study. * Context for the study. * Problems with existing forms of analysis and visualisation. * Solutions to the problems. * Structure of the book. . Chapter Two - Establishing the Need for a New Analytical Approach . * A review of existing approaches to the analysis of. * management systems. * Graphical approaches to analysis and presentation of management concepts. * Difficulties encountered in formulating a means of presenting the governance of major projects. * A systems analysis approach to project management. * Process protocol. * Overcoming the problems identified. * A social network analysis approach to the analysis and visualisation of organisational forms. . Chapter Three - Theoretical Framework . * Developing a theoretical framework. * Adaptation or transformation. * Five basic premises for taking a network perspective. * Types of network actor relations. * Density or cohesion of contractual, performance incentive and information exchange networks. * Point centrality within networks. * Other issues relating to the relevance of centrality as a measure. * Network densities and actor centrality measured jointly. * What might we gain from the adoption of a network perspective?. . Chapter Four - Methodology. * Research in construction project organisations. * The choice between qualitative and quantitative research methods. * On case studies. * A profile of case studies for this research project. * Gaining access to the case study projects. * Criteria for selection of case studies. * Data collection and analysis. * Data collection and use of questionnaire. . Chapter Five - Outline of the Four Case Studies . * Description of the construction works. * Project actors. * Methodological issues. * Data gathering. * Interpretation of interviewee comments. * Case study selection criteria. * General observations. * Analysis of data. * Observations arising out of the analysis. . Chapter Six - Conclusions. Conclusions. Future research