Author:
Munir Mustapha,Kiviniemi Arto,Finnegan Stephen,Jones Stephen W.
Abstract
Purpose
The purpose of this paper is to investigate the processes, tools and techniques of strategic asset information management (AIM) for built assets, and how the asset information content enhances the proficiency of asset managers to effectively manage their assets throughout their life cycle by utilising building information modelling (BIM) and asset management (AM) systems. For most asset managers, the problem is not the lack of information about their assets, but the abundance of it, and most especially the absence of established processes and protocols to effectively manage large sets of asset data. Therefore, it is crucial to develop a strategy to control and manage this information in order for asset managers to harness its potential and realise value from their organisation’s information assets..
Design/methodology/approach
A qualitative case study strategy was used to investigate the effective management of asset data in an AIM system. Seven sets of interviews were conducted and nine respondents were interviewed. These were analysed through qualitative thematic analysis using the NVivo software.
Findings
The paper identifies six dimensions of value that BIM contributes to AM, which are: management, commerce, efficiency, industry, user and technology value. Also, the paper demonstrates that there is real value to be derived by the asset owner from the effective management of asset information. The study highlights that the value of BIM is not inherent but would require many other processes to deliver value to the organisation.
Originality/value
The key value of the paper is that it identifies important techniques for managing asset data and how asset information is collected, organised, stored, controlled, analysed, secured, shared and reported within a virtual AIM system for strategic management-based decisions.
Subject
Building and Construction,Architecture,Human Factors and Ergonomics
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2. Exploring BIM for operational integrated asset management – a preliminary study utilising real-world infrastructure data,2017
3. Governing asset management data infrastructures;Procedia Computer Science 9,2016
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