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Arditi, D and Chotibhongs, R (2009) Detection and prevention of unbalanced bids. Construction Management and Economics, 27(08), 721–32.

Choi, K, Lee, E-B, Ibbs, C W and Kim, Y W (2009) Multifaceted public outreach and cost–benefit analysis for its effectiveness validation. Construction Management and Economics, 27(08), 771–82.

Hyari, K H, El-Rayes, K and El-Mashaleh, M (2009) Automated trade-off between time and cost in planning repetitive construction projects. Construction Management and Economics, 27(08), 749–61.

Ilozor, B D (2009) Differential management of waste by construction sectors: a case study in Michigan, USA. Construction Management and Economics, 27(08), 763–70.

Javernick-Will, A N (2009) Organizational learning during internationalization: acquiring local institutional knowledge. Construction Management and Economics, 27(08), 783–97.

Voordijk, H (2009) Construction management and economics: the epistemology of a multidisciplinary design science. Construction Management and Economics, 27(08), 713–20.

  • Type: Journal Article
  • Keywords: epistemology; knowledge production; design science
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446190903117777
  • Abstract:
    Research in the field of construction management and economics (CME) can be characterized as a multidisciplinary design science. Results from the sciences and humanities are necessary inputs for this field of research that deals with design, production and operation of the built environment. The output of CME research as multidisciplinary design science consists of three types of solution concepts: empirical generalizations based on statistical data analysis (technological laws), concepts that specify what to do, if a certain result is to be attained under given circumstances (functional rules), and insights in the interrelationship between design, production and operation of the built environment and social practice (socio-technological understanding). Scientific justification of these solution concepts is obtained through testing them in the specific context of the built environment.

Yu, W-d, Chang, P-l, Yao, S-H and Liu, S-J (2009) KVAM: model for measuring knowledge management performance of engineering community of practice. Construction Management and Economics, 27(08), 733–47.