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AbouRizk, S M and Halpin, D W (1992) Statistical Properties of Construction Duration Data. Journal of Construction Engineering and Management, 118(03), 525–44.

De La Garza, J M and Mitropoulos, P (1992) Flavors and Mixins of Expert Systems Technology Transfer Model for AEC Industry. Journal of Construction Engineering and Management, 118(03), 435–53.

Eldin, N N and Senouci, A B (1992) Use of Scrap Tires in Road Construction. Journal of Construction Engineering and Management, 118(03), 561–76.

Harris, R B (1992) A Challenge for Research. Journal of Construction Engineering and Management, 118(03), 422–34.

Hicks, J C (1992) Heavy Construction Estimates, with and without Computers. Journal of Construction Engineering and Management, 118(03), 545–60.

Nam, C H and Tatum, C B (1992) Government‐Industry Cooperation: Fast‐Track Concrete Innovation. Journal of Construction Engineering and Management, 118(03), 454–71.

Nam, C H and Tatum, C B (1992) Strategies for Technology Push: Lessons from Construction Innovations. Journal of Construction Engineering and Management, 118(03), 507–24.

Russell, J S and Jaselskis, E J (1992) Quantitative Study of Contractor Evaluation Programs and Their Impact. Journal of Construction Engineering and Management, 118(03), 612–24.

Shaked, O and Warszawski, A (1992) CONSCHED: Expert System for Scheduling of Modular Construction Projects. Journal of Construction Engineering and Management, 118(03), 488–506.

Skibniewski, M J and Chao, L (1992) Evaluation of Advanced Construction Technology with AHP Method. Journal of Construction Engineering and Management, 118(03), 577–93.

  • Type: Journal Article
  • Keywords: Technology transfer; Mathematical models; Construction industry; Innovation;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(1992)118:3(577)
  • Abstract:
    It is difficult to quantify the intangible benefits of advanced construction technologies and the risks involved in implementing such technologies with the use of traditional economic analysis techniques. An analytical approach to assessing the intangible aspects of technical innovation in construction is presented. The approach uses the analytical hierarchy process (AHP) technique and incorporates both favorable and unfavorable evaluation factors in one framework. The methods for constructing the comparison matrices, measuring the consistency of the pairwise comparisons, and aggregating the eigenvectors for the matrices to produce a final result are discussed. The sources of information for evaluation using the AHP method are identified and the significance of the method as a communication tool for group discussion is addressed. An example evaluation of two tower‐crane alternatives, one traditional and one semiautomated, is given to demonstrate the viability of the proposed approach. The effect of the managerial judgments on the acceptability of a new technology alternative is shown via a sensitivity analysis.

Thomas, H R, Smith, G R and Ponderlick, R M (1992) Resolving Contract Disputes Based on Misrepresentations. Journal of Construction Engineering and Management, 118(03), 472–87.

Tommelein, I D, Levitt, R E and Hayes‐Roth, B (1992) Site‐Layout Modeling: How Can Artificial Intelligence Help?. Journal of Construction Engineering and Management, 118(03), 594–611.