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Modelling construction change order management

Article Abstract:

The construction industry's low productivity growth has proven the inadequacy of existing change orders, which seek to satisfy architects, contractors and owners. Two example change processes are detailed and criticized. Their main obstacle is the ripple effect from activity delays, thus requiring greater coordination between all parties concerned. Preconstruction meetings are the strongest recommendation in ironing out contractual details to save on money and time, since there is no universally accepted change order procedure. However, a simple procedural model can be agreed upon.

Author: Krone, Stephen J.
Publisher: Project Management Institute
Publication Name: Project Management Journal
Subject: Business, general
ISSN: 8756-9728
Year: 1992
HEAVY CONSTRUCTION, EX. BUILDING, GENERAL BUILDING CONTRACTORS

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Risk behavior of contractors: a Canadian study

Article Abstract:

An analysis of risk behavior focused on the Canadian construction industry, possibly the first of its kind to do so. Utility functions were applied, using cases and interviews from over 30 firms. The contractors who were investigated tended to enter contracts with a low perception of the accompanying risk, such as overlooking potential financial impacts or viewing the risk as a discrete probability instead of a probability function. It was also concluded that some risk analyses remain reliable while others such as decision trees and sensitivity analysis are relatively realistic.

Author: McKim, Robert A.
Publisher: Project Management Institute
Publication Name: Project Management Journal
Subject: Business, general
ISSN: 8756-9728
Year: 1992
Decision-making, Decision making, Risk (Economics)

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Organizational engineering principles in project management

Article Abstract:

Organizational engineering analyzes human behavior in terms of an information network and features principles applicable to project management. The 'I Opt' (Input Output Processing Template) Survey Instrument serves as the primary survey tool in gathering information processing data. Survey choices can be classified in terms of the reactive stimulator, logical processor, hypothetical analyzer and relational innovator categories of an individual's preferences.

Author: Slabey, William, Austrom, Douglas
Publisher: Project Management Institute
Publication Name: Project Management Journal
Subject: Business, general
ISSN: 8756-9728
Year: 1998
Plant Engineering-Management, Plant engineering (Facilities), Industrial engineering, Factory management

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Subjects list: Research, Construction industry, Industrial project management, Project management
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