Model to Predict the Impact of a Technology on Construction Productivity-Reference-Cited by-同舟云学术

Model to Predict the Impact of a Technology on Construction Productivity

Published:2011-09 Issue:9 Volume:137 Page:678-688
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Goodrum Paul M.¹²³⁴⁵,Haas Carl T.¹²³⁴⁵,Caldas Carlos¹²³⁴⁵,Zhai Dong¹²³⁴⁵,Yeiser Jordan¹²³⁴⁵,Homm Daniel¹²³⁴⁵

Affiliation:

1. Professor, Dept. of Civil Engineering, Univ. of Kentucky, C151C Raymond Building, Lexington, KY 40506 (corresponding author).

2. Professor, Dept. of Civil and Environmental Engineering, Univ. of Waterloo, ON, Canada N2L 3G1.

3. Associate Professor, Dept. of Civil, Architectural and Environmental Engineering, Univ. of Texas at Austin, Austin, TX.

4. Doctoral Candidate, Dept. of Civil Engineering, Univ. of Kentucky, Lexington, KY.

5. Graduate Research Assistant, Dept. of Civil Engineering, Univ. of Kentucky, Lexington, KY.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0000328

Reference17 articles.

1. Construction Industry Institute (CII). (1986). “Construction Industry Institute model plant.” RS2-1 Cockrell School of Engineering at the Univ. of Texas at Austin Austin TX.

2. User Acceptance of Computer Technology: A Comparison of Two Theoretical Models

3. Long-Term Impact of Equipment Technology on Labor Productivity in the U.S. Construction Industry at the Activity Level

4. Goodrum P. Wang Y. Haas C. Vaziri S. and Glover R. (2007). “Construction industry craft training in the United States and Canada.” RS231-1 Cockrell School of Engineering at the Univ. of Texas at Austin Austin TX.

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