Relationship‐based determinants of building project performance in China

The aim of this paper is to investigate the relationship‐based factors that affect performance of general building projects in China. Eight performance metrics that may be used to measure the success level of construction projects are defined and categorized into two groups namely ‘hard’ and ‘soft’ performance. Eight indicators of risks inherent in relationships and seven indicators of tools expected to facilitate relationship building that may affect project success are identified. Data of different projects were collected in China via a self‐administered postal survey. By using structural equation modelling techniques, a structural model is developed to help explain the relationship among different variables. It has been found that relational risk has negative influence on project performance. It is recommended that firms in the Chinese construction industry manage the relationship‐based factors that are significant in the model so as to achieve project success.

[1]  H. Kaiser The Application of Electronic Computers to Factor Analysis , 1960 .

[2]  Michael R. Mullen Diagnosing Measurement Equivalence in Cross-National Research , 1995 .

[3]  Mark Konchar,et al.  Comparison of U.S. Project Delivery Systems , 1998 .

[4]  Olusegun O. Faniran,et al.  Structural equation model of project planning effectiveness , 2005 .

[5]  M. Kumaraswamy,et al.  Risk management trends in the construction industry: moving towards joint risk management , 2002 .

[6]  David K. H. Chua,et al.  Key determinants for construction schedule performance , 1999 .

[7]  R. Gonzalez Applied Multivariate Statistics for the Social Sciences , 2003 .

[8]  Florence Yean Yng Ling,et al.  Key relationship-based determinants of project performance in China , 2006 .

[9]  J. Nunnally Psychometric Theory (2nd ed), New York: McGraw-Hill. , 1978 .

[10]  Michael Coyle,et al.  Critical Success Factors for Construction Projects , 1992 .

[11]  Florence Yean Yng Ling,et al.  Model for Fostering Trust and Building Relationships in China’s Construction Industry , 2005 .

[12]  David Baccarini,et al.  The Logical Framework Method for Defining Project Success , 1999 .

[13]  P. Chalid Work, Organisation and Industry: The Asian Experience , 1998 .

[14]  Blair H. Sheppard,et al.  The Grammars of Trust: A Model and General Implications , 1998 .

[15]  L. Hayduk Structural equation modeling with LISREL , 1987 .

[16]  Jagdip Singh,et al.  Measurement Issues in Cross-National Research , 1995 .

[17]  William M. K. Trochim,et al.  Research methods knowledge base , 2001 .

[18]  Alan Page Fiske,et al.  Relativity within Moose (“Mossi”) Culture: Four Incommensurable Models for Social Relationships , 1990 .

[19]  Florence Yean Yng Ling,et al.  Constructing a framework for building relationships and trust in project organizations: two case studies of building projects in China , 2005 .

[20]  B. Byrne Structural Equation Modeling with LISREL, PRELIS, and SIMPLIS: Basic Concepts, Applications, and Programming , 1998 .

[21]  Keith R. Molenaar,et al.  MODEL FOR PUBLIC SECTOR DESIGN-BUILD PROJECT SELECTION , 1998 .

[22]  J. Hair Multivariate data analysis , 1972 .

[23]  Sai On Cheung,et al.  Structural Equation Model of Trust and Partnering Success , 2005 .

[24]  David K. H. Chua,et al.  Model for Construction Budget Performance—Neural Network Approach , 1997 .

[25]  David Arditi,et al.  Assessing contractor quality performance , 2002 .

[26]  中華人民共和国国家統計局 China statistical yearbook , 1988 .

[27]  George Ofori,et al.  Chinese culture and successful implementation of partnering in Singapore's construction industry , 2001 .

[28]  Thomas Menkhoff Trust and Chinese Economic Behaviour in Singapore , 1990 .

[29]  Edward J. Jaselskis,et al.  Optimal Allocation of Project Management Resources for Achieving Success , 1991 .

[30]  Raymond B. Cattell,et al.  The Meaning and Strategic Use of Factor Analysis , 1988 .

[31]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .