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Impact factor analysis affecting the operation of asset lifecycle by using asset information modeling and blockchain technology

Raslan, Azzam; Cheshmehzangi, Ali; Towey, Dave; Tizani, Walid; Kapogiannis, Georgios

Authors

Azzam Raslan

Ali Cheshmehzangi

Dave Towey

Georgios Kapogiannis



Abstract

Purpose: Currently, owners find it difficult to manage their assets throughout their project life cycle. The fact that asset information models (AIMs) are mandatory as deliverables for building information modeling-driven projects makes it a key requirement for the client to understand in detail those factors affecting asset operation. Hence, because the Kingdom of Saudi Arabia is the most significant market in the Middle East, this study aims to investigate those factors where blockchain and AIMs could impact the asset management (AM) life cycle.
Design/methodology/approach: Researchers used a hypothesis-based approach over a systematic literature review and a workshop (descriptive statistics) to understand the current challenges in AM. Later, a second workshop was run to understand the impact factor analysis affecting the operation of the asset life cycle by using asset information modeling and blockchain technology over a multiquantitative method.
Findings: Results found that factors affecting the operation of assets could be the improvement of trust and stakeholder’s influences; the availability of handover process products’ accurate data; manufacturers providing detailed product models; increasing the speed of preparing holistic and integrated AM systems; improving collaboration between stakeholders; and returning clients’ investments faster.
Originality/value: Understanding the factors affecting AM life cycle based on the utilization of AIMs and blockchain then allows investors and their team members to work in a secure and collaborative environment that helps them to pre-identify certain risks and improve decision-making in a more effective way, as is required by ISO55000.

Journal Article Type Article
Acceptance Date Jan 14, 2024
Online Publication Date Feb 5, 2024
Publication Date Feb 5, 2024
Deposit Date Feb 20, 2024
Journal Construction Innovation
Print ISSN 1471-4175
Electronic ISSN 1477-0857
Publisher Emerald
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1108/CI-10-2022-0272
Keywords Asset information models; Asset management; Blockchain technology; ISO19650; Building information models; Asset lifecycle
Public URL https://nottingham-repository.worktribe.com/output/31452903