Clarifying the behavioral patterns of contractor supply chain payment conditions

Abstract Research on supply chain payment and detailed quantitative cash flow modeling requires detailed data concerning specialist contractors and suppliers to support implementation efforts. Supporting this need, survey data was gathered from 118 general contractors in Taiwan. Complementing previous research, the survey data quantifies the range of contractor typical time lags, components, and frequency of payments to specialists and suppliers. While the statistical analysis of the data demonstrates that the pattern of contractor supply chain payment conditions to specialist contractors is significantly influenced by the sector variable (public vs. private), supplier related patterns are not influenced by the sector variable. Further analysis demonstrates that the variables of contractor supply chain payment conditions (time lags, components, and frequency) considerably interact with one another under certain circumstances. Nonetheless, little evidence supports the existence of a trade-off relationship between these variables in the event of interaction.

[1]  A. Dainty,et al.  New perspectives on construction supply chain integration , 2001 .

[2]  Robert L. K. Tiong,et al.  Model on cash flow forecasting and risk analysis for contracting firms , 2002 .

[3]  R. Kenley Cash farming in building and construction: a stochastic analysis , 1999 .

[4]  W. G. Cochran Some Methods for Strengthening the Common χ 2 Tests , 1954 .

[5]  Owen D. Wilson,et al.  A construction project net cash flow model , 1989 .

[6]  Thomas E. Uher Risks in subcontracting: Subcontract conditions , 1991 .

[7]  S. Nahmias,et al.  Modeling Supply Chain Contracts: A Review , 1999 .

[8]  Ronie Navon Resource-based model for automatic cash-flow forecasting , 1995 .

[9]  Jimmie Hinze,et al.  The Contractor‐Subcontractor Relationship: The Subcontractor's View , 1994 .

[10]  Gopal V. Krishnan,et al.  The Predictive Ability of Direct Method Cash Flow Information , 2000 .

[11]  Lauri Koskela,et al.  Roles of supply chain management in construction , 1999 .

[12]  Paul Humphreys,et al.  Pre‐construction project partnering: from adversarial to collaborative relationships , 2003 .

[13]  Michael J. Magazine,et al.  Quantitative Models for Supply Chain Management , 1998 .

[14]  John Bennett,et al.  Specialist contractors: A review of issues raised by their new role in building , 1990 .

[15]  William J. O'Brien,et al.  An economic view of project coordination , 1995 .

[16]  Osama Abudayyeh,et al.  Prototype Integrated Cost and Schedule Control System , 1993 .

[17]  F. Massey,et al.  Introduction to Statistical Analysis , 1970 .

[18]  R. Navon,et al.  Company-Level Cash-Flow Management , 1996 .

[19]  Ammar Peter Kaka,et al.  Development of a company‐level dynamic cash flow forecasting model (DYCAFF) , 2003 .

[20]  Floyd J. Fowler,et al.  Survey Research Methods , 1984 .

[21]  William J. O'Brien,et al.  Construction supply-chains: Case study, integrated cost and performance analysis , 1997 .

[22]  Naomi Garnett,et al.  Benchmarking for construction: theory and practice , 2000 .

[23]  I. Jackson,et al.  Financial management for contractors , 2002 .

[24]  R. Lyman Ott.,et al.  An introduction to statistical methods and data analysis , 1977 .

[25]  A. Agapiou,et al.  The changing role of builders merchants in the construction supply chain , 1998 .

[26]  K. T. Yeo,et al.  Integrating supply chain and critical chain concepts in engineer-procure-construct (EPC) projects , 2002 .

[27]  Randall A. Heron,et al.  Operating Performance and the Method of Payment in Takeovers , 2002, Journal of Financial and Quantitative Analysis.