TECHNICAL PAPERS
Sep 15, 2009

Determination of Key Performance Indicators with Enterprise Resource Planning Systems in Engineering Construction Firms

Publication: Journal of Construction Engineering and Management
Volume 135, Issue 10

Abstract

The study focuses on developing a unified approach to define information specificities for key performance indicators (KPIs). Borrowing from the time-system theory, the paper defines different types of KPI and identifies that a KPI has two dimensions—knowledge specificity and time specificity. Different approaches are presented to analyze knowledge and time sensitivities. This paper addresses a key question related to enterprise resource planning (ERP) systems applications in the engineering construction industry: what are the areas of business processes within the engineering construction industry where ERP cannot be used to collect KPIs related to business processes? The writers review empirical and specialized processes within the construction industry to identify business processes not covered by existing ERP systems. A survey focused on qualitative aspects of ERP systems implementation in engineering construction firms was conducted among ERP-enablers in the construction industry and provided a basis for the presented case study. Data collected are from major engineering and construction firms in the United States and therefore the results are relevant for researchers and industry practitioners concerned with application of enterprise management systems in the respective firms.

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Information & Authors

Information

Published In

Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 135Issue 10October 2009
Pages: 965 - 978

History

Received: May 22, 2007
Accepted: Mar 14, 2008
Published online: Sep 15, 2009
Published in print: Oct 2009

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Authors

Affiliations

Mirosław J. Skibniewski [email protected]
A. J. Clark Chair, Professor, Dept. of Civil and Environmental Engineering, 1188 G. L. Martin Hall, Univ. of Maryland, College Park, MD 20742-3021. E-mail: [email protected]
Saumyendu Ghosh [email protected]
Instructor, Dept. of Civil and Environment Engineering, 1188 G.L. Martin Hall, Univ. of Maryland, College Park, MD 20742-3021 (corresponding author). E-mail: [email protected]

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