Information Management in UK-Based Architecture and Engineering Organizations: Drivers, Constraining Factors, and Barriers

Sheriff, Abdullahi; Bouchlaghem, Dino; El-Hamalawi, Ashraf; Yeomans, Steven G.

doi:10.1061/(asce)me.1943-5479.0000085

Cited by 21 publications

(9 citation statements)

References 11 publications

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“…Pärn et al (2017) critiqued that level 3 'semantic interoperability' is the single most important interoperability challenge to overcome in the integration of BIM data with other systems such as AM platforms. The slow implementation of BIM by owners and facility managers is, to an extent, due to the complex nature of the assets information (Love et al 2014) and complicated taxonomies (Sheriff et al 2011). A case study of 139 an educational institution (Thabet et al 2016) illustrated that the most common obstacle in BIM-AM integration is that asset data is scattered and unstructured while the components' data are not integrated or even referenced with other related data/information.…”

Section: Bim-am Interoperabilitymentioning

confidence: 99%

Taxonomy for BIM and Asset Management Semantic Interoperability

et al. 2018

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At present, the capability to collect information from different sources (BIM, Sensors, Assets database) for Asset Management (AM) use has generated significant opportunities for asset owners and Facility Managers. Building Information Modeling (BIM) in particular, is considered as a potentially effective data pool for storing and managing project information during the 15 building lifecycle, providing a common data environment for stakeholder data and guarantying 16 information availability and credibility at the handover stage. However, this data integration in a BIM environment has come along with issues related to the establishment of an effective process to extract, store, manage, integrate and distribute data to ensure interoperability. Further to the interoperability issue, an important challenge is the identification of what data is relevant, reliable, useful and also can add value to the AM processes. This research explores the asset owner requirements from BIM in the operation and maintenance stage from an AM perspective. The research aim is twofold: first, to synthesize the non-geometric BIM data required for AM 23 and develop a relevant taxonomy. And secondly, to develop an Application Programing Interface 24 2 (API) plug-in for Autodesk Revit in order to implement the proposed taxonomy. To achieve the aims of this study, a critical review of previous literature, face-to-face and focus group interviews with BIM and Facilities Management (FM) experts were conducted. The main output is a sixty-parameter Asset Consuming Energy Information Management (ACE-IM) taxonomy and the relevant API plug-in which can help BIM professionals to identify the required data to be submitted to Facility Managers in order to improve AM processes.

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Section: Bim-am Interoperabilitymentioning

confidence: 99%

Taxonomy for BIM and Asset Management Semantic Interoperability

et al. 2018

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“…Garengo and Panizzolo (2013) state that innovative technological tools are essential in supporting the supplier involvement in IPD. Sheriff et al (2012) highlighted the importance of developing holistically aligned strategies for IM, better tools to improve the data exchange and appropriate measurement criteria for determining the effectiveness of IM strategies. Hicks et al (2006) concluded that over two-third of the issues identified are caused by inadequate IS or their implementation.…”

Section: Barriers To Effective Collaborationmentioning

confidence: 99%

An analysis of supply chain issues relating to information flow during the automotive product development

Madenas

Tiwari

Turner

et al. 2015

Journal of Manufacturing Technology Management

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Purpose – The purpose of this paper is to identify measure and prioritise the perceived importance of supply chain issues within the automotive industry related to information flow during product development (PD). Design/methodology/approach – This study analyses empirical data captured from semi-structure interviews with 15 multinational companies operating in the automotive sector. Data collected are analysed using a standard methodology identified from the literature. The individual issues captured are classified against 14 clusters that represent the core and the fundamental supply chain issues of information flow. Findings – This study showed that half of the issues captured are related to the inadequate information systems used. The cluster that had the majority of individual issues is related to suppliers that are not directly connected with their customers through an enterprise system. However it was identified that two fundamental clusters justify the decision of not being directly connected. Implementing and maintaining multiple enterprise systems can be a big overhead for multinational companies working with a high number of customers. Originality/value – Although several studies have proved the benefits that can be obtained through supply chain collaboration, there are relatively little empirical studies that seek to explore the understanding of supply chain issues in regards to information flow especially during PD. By identifying, measuring and prioritising the importance of supply chain issues this study provides researchers and practitioners guidance in developing better tools and defining more efficient processes.

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“…The organizations that effectively leverage their knowledge assets are more competitive (Sheriff et al, 2012).…”

Section: Innovationmentioning

confidence: 99%

“…As projects are temporary in nature, the knowledge and lessons learned are dispersed when the project ends, fragmenting and deleting the organization's knowledge (Gann and Salter, 2000;Esmi and Ennals, 2009). Additionally, one of the most difficult challenges regarding human factors is the employees' resistance to change (Sheriff et al, 2012).…”

Section: Human Factorsmentioning

confidence: 99%