Integrating building information modelling for improving facility management operations: a fuzzy synthetic evaluation of the critical success factors

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ifeoluwa Benjamin Oluleye ◽  
Abiodun Kolawole Oyetunji ◽  
Michael Ayodele Olukolajo ◽  
Daniel W.M. Chan
Keyword(s):  
Critical Success Factors ◽  
Success Factors ◽  
Facility Management ◽  
Fuzzy Synthetic Evaluation ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Critical Success ◽  
Adoption And Implementation ◽  
Building Information

Purpose Building information modelling (BIM) is a novel technological advancement in the built environment. Despite the potentials of BIM, its adoption and implementation are undermined in facility management (FM) operations. This might be because of limited information on the critical success factors (CSFs) that can enhance its adoption. The study aims to integrate building information modelling to improve facility management operation by adopting fuzzy synthetic approach for evaluating the critical success factors. Design/methodology/approach Data for the study were sourced from practising and registered facility managers within Lagos metropolis, Nigeria. The data collected were analysed using a combination of methods which include mean item score, factor analysis and fuzzy synthetic evaluation (FSE). Findings The factor analysis results showed that six underlying groups of CSFs would enhance the effective adoption of BIM in facility operations. The FSE results showed that out of the six groups, the three topmost important CSF grouping (CSFG) in the decision rule would enhance the effectiveness of BIM adoption for FM operations. Practical implications The result of this study provides a credible road map for facility managers, policymakers and other stakeholders in FM operations on the CSFs and CSFG required for the adoption of BIM. Originality/value Previous studies that aimed at integrating BIM into FM are limited. Hence, this study provides a broad perspective on the CSF required for BIM adoption and implementation in FM operations using the FSE approach.

scholarly journals Critical Success Factors for Building Information Modelling Implementation

2018 ◽  
Vol 18 (3) ◽  
pp. 55-73 ◽  
Author(s):  
Ganiyu Amuda-Yusuf
Keyword(s):  
Critical Success Factors ◽  
Success Factors ◽  
Successful Implementation ◽  
Development Education ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Critical Success ◽  
Building Information ◽  
Global Construction ◽  
Product And Process

Adoption of Building Information Modelling (BIM) in the global construction industry is fast growing. This paper expounds the Critical Success Factors (CSFs) for BIM implementation and explore their ranking and underlying relationships. A total of 28 CSFs was identified from the review of previous studies on success factors. Survey questionnaire containing these 28 factors was used to collect data from industry practitioners in Nigeria. Benchmark metrics was developed to rank the success factors. The topmost five success factors for BIM implementation in order of importance are: standard platforms for integration and communication; cost of development; education and training; standardization (product and process); and clear definition and understanding of users’ requirement. Analysis of variance shows that significant differences exist in the pattern of rating for the topmost CSFs based on turnover. Factor analysis was further adopted to group the 28 CSFs into five components, using rotated component matrix method. The five components extracted are: (i) industry stakeholders’ commitment and knowledge of BIM, (ii) capacity building for technology adoption, (iii) organisational support, (iv) collaborative synergy among industry professional and (v) cultural orientation. The rankings of the CSFs provide basis for prioritising the most significant factors that industry stakeholders should focus attention for successful implementation of BIM. In addition, the underlying relationships among the success factors identified in this study, will assist industry stakeholders to determine best strategy to adopt in implementing BIM at industry level.

Critical success factors for adopting building information modelling (BIM) and lean construction practices on construction mega-projects: a Delphi survey

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Martin Evans ◽  
Peter Farrell ◽  
Ayman Mashali ◽  
Wael Zewein
Keyword(s):  
Success Factors ◽  
Lean Construction ◽  
Delphi Survey ◽  
Local Authorities ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Critical Success ◽  
Building Information ◽  
Research Findings

Purpose The purpose of this paper is to investigate critical success factors (CSFs) that enhance integration between building information modelling (BIM) and lean construction (LC) practices on construction mega-projects. BIM and LC have gained momentum in the past decade. Design/methodology/approach The Delphi survey technique was used to gauge opinions of a panel of 16 experts through a two-round Delphi questionnaire survey. Panel responses were scrutinised using inferential and descriptive statistical techniques. Findings In total, 30 CSFs were identified in the literature. The top ranked factor out of 30 that supports LeanBIM synergy was “collaboration in design, construction works and engineering management”. Other top rated CSFs were centric on people, data and technology elements. The research findings are important for project stakeholders, organisations, contractors, engineers and local authorities who implement LC and BIM synergies in construction mega-projects. Originality/value The research findings are important for project stakeholders, organisations, contractors, engineers and local authorities who implement LC and BIM synergies in construction mega-projects. The research recommends further hands-on training to increase the integration of BIM and LC practices in the architecture, engineering and construction industry and to enrich the extant body of knowledge in construction of mega-projects.

scholarly journals CRITICAL SUCCESS FACTORS FOR ENHANCING THE BUILDING INFORMATION MODELLING IMPLEMENTATION IN BUILDING PROJECTS IN SINGAPORE

2017 ◽  
Vol 23 (8) ◽  
pp. 1029-1044 ◽  
Author(s):  
Longhui LIAO ◽  
Evelyn Ai Lin TEO
Keyword(s):  
Structural Equation ◽  
Critical Success Factors ◽  
Success Factors ◽  
Sem Analysis ◽  
Building Information Modelling ◽  
Building Projects ◽  
Information Modelling ◽  
Critical Success ◽  
Building Information ◽  
And Training

Although building information modelling (BIM) has been implemented in building projects in Singapore, barriers such as the duplicate efforts for designers and contractors to create models appear to exist. Thus, BIM imple­mentation needs to be enhanced. The objectives are to identify the critical success factors (CSFs) for enhancing BIM implementation and investigate the interrelationships among these CSFs. 32 success factors were identified through a literature review and a questionnaire survey was conducted. The results indicated that 15 CSFs were identified and grouped into integration and accuracy of models (IAM), commitment and training from the management (CTM), and advantages and support of implementation (ASI) through factor analysis. The results from structural equation modelling (SEM) analysis revealed that CTM resulted in IAM and from ASI, while ASI facilitated IAM. The proposed framework indicating the CSFs and the intergroup relationships provides an in-depth understanding of BIM implementation and can help firms to commit on their part of project-wide BIM adoption and associated advantages. Overseas practitioners may use the identified success factors and follow the method to customise their own CSFs.

scholarly journals CRITICAL SUCCESS FACTORS FOR BUILDING INFORMATION MODELLING (BIM) IMPLEMENTATION FOR POWER PLANT PROJECTS IN MALAYSIA

2022 ◽  
Vol 23 (1) ◽  
pp. 34-45
Author(s):  
Mohd Azrul Aziz ◽  
Chee Fui Wong ◽  
Nuzul Azam Haron ◽  
Aidi Hizami Ales@Alias ◽  
Raja Ahmad Azmeer Raja Ahmad Effendi ◽  
...  
Keyword(s):  
Power Plant ◽  
Construction Industry ◽  
Critical Success Factors ◽  
Success Factors ◽  
Success Factor ◽  
Management Support ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Critical Success ◽  
Building Information

Building Information Modelling (BIM) has become increasingly important for the construction industry in Malaysia. BIM implementation process requires proper strategic planning and considerations from many aspects.Malaysian government has realised the importance of BIM as an emerging technology to transform the construction industry in Malaysia,and thus has classified BIM as one of the twelve main technology in  CIDB “Construction 4.0 Strategic Plan 2021-2025”. BIM implementation offer significant benefits to the power generation sector in Malaysia Thisstudy was conducted using the quantitaive research method in which questionnaires survey were distributed to the clients‘ representatives in the Malaysian power sector. This study has identified the 13 critical success factors to be considered by clients for BIM implementation in power plant projects in Malaysia. The success factors were classified based on the four (4) main fields or factors namely management, people, process and technology. The study findings show that management support is the most important success factor for the power plant projects while other success factors such as people, process and technology were also identified and discussed. ABSTRAK: Model Pembangunan Maklumat (BIM) merupakan sebuah konsep penting bagi industri pembinaan di Malaysia. Proses pelaksanaan BIM memerlukan perancangan strategik dan pertimbangan wajar dari pelbagai aspek. Kerajaan Malaysia sedar akan kepentingan BIM sebagai teknologi pemangkin dalam transformasi industri pembinaan Malaysia di mana BIM telah disenaraikan sebagai salah satu daripada 12 teknologi utama dalam CIDB “Plan Strategik 4.0 Pembangunan 2021-2025”. Pelaksanaan BIM memberi faedah ketara kepada sektor jana kuasa di Malaysia. Kajian ini dibuat menggunakan kaedah kuantitatif melalui kaji selidik ke atas wakil klien dalam sektor tenaga Malaysia. Kajian ini telah mengenal pasti 13 faktor kejayaan kritikal yang perlu dipertimbangkan oleh klien bagi menghasilkan projek loji jana kuasa di Malaysia. Faktor kejayan ini telah diklasifikasi berdasarkan 4 bidang utama seperti pengurusan, pekerja, proses dan teknologi. Dapatan kajian menunjukkan bahawa sokongan daripada pihak pengurusan merupakan faktor utama bagi kejayaan sesebuah projek jana kuasa, di samping faktor-faktor lain seperti pekerja, proses dan teknologi juga telah dikenal pasti dan dibincangkan.

Critical success factors for BIM adoption during construction phase: a Singapore case study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ziwen Liu ◽  
Yujie Lu ◽  
Tushar Nath ◽  
Qian Wang ◽  
Robert Lee Kong Tiong ◽  
...  
Keyword(s):  
Construction Projects ◽  
Critical Success Factors ◽  
Online Survey ◽  
Success Factors ◽  
Information Modeling ◽  
Content Type ◽  
Critical Success ◽  
Adoption And Implementation ◽  
Building Information ◽  
Aec Industry

PurposeAs a pillar of integrated digital delivery (IDD), building information modeling demonstrates the tremendous potential to enhance productivity for the architectural, engineering and construction (AEC) industry worldwide. However, the implementation of digital solutions presents numerous challenges related to its adoption and implementation. Distinguishing a comprehensive set of critical factors can facilitate the construction professionals to execute their strategies in a properly planned manner, thus augmenting the possibilities of successfully implementing BIM in their organization. This study aims to identify critical success factors (CSFs) for BIM adoption and implementation in Singapore.Design/methodology/approachThis study adopted structured empirical questionnaire survey. Relevant data were collected from the various stakeholders in Singapore AEC industry through an online survey questionnaire. Furthermore, data analysis was done using SPSS Statistics software in order to identify the key factors (KFs) based on which the CSFs were derived for BIM adoption and implementation during the construction phase.FindingsFrom a set of 45 influencing factors, 35 KFs were derived after performing ranking analysis, from which a set of 26 CSFs were finally obtained based on the factor analysis methodology.Originality/valueThis study has identified the CSFs of BIM adoption in Singapore, as well as in the builders' perspective on how to enhance the digitalization in construction projects.

scholarly journals Modelling the Impact of Building Information Modelling (BIM) Implementation Drivers and Awareness on Project Lifecycle

2021 ◽  
Vol 13 (16) ◽  
pp. 8887
Author(s):  
Oludolapo Ibrahim Olanrewaju ◽  
Ahmed Farouk Kineber ◽  
Nicholas Chileshe ◽  
David John Edwards
Keyword(s):  
Structural Equation ◽  
Success Factors ◽  
Extensive Literature ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Performance Improvements ◽  
Critical Success ◽  
Building Information ◽  
The Impact ◽  
Project Lifecycle

The Architecture, Engineering, Construction and Operations (AECO) industry is generally slow in adopting emerging technologies, and such hesitance invariably restricts performance improvements. A plethora of studies have focused on the barriers, Critical Success Factors (CSFs), lifecycle and drivers independently, but none have explored the impact of BIM drivers and awareness on the project lifecycle. This study empirically explored the impact of BIM drivers and awareness on the project lifecycle using Structural Equation Modelling (SEM). Initially, a conceptual model was developed from an extensive literature review. Thereafter, the model was tested using primary questionnaire data obtained from 90 construction professionals in Lagos, Nigeria. Emergent findings indicate that Building Information Modelling (BIM) drivers have a high impact on BIM awareness at the operation stage of the project lifecycle. The SEM model has an average R2 value of 23% which is moderate. Consequently, this research contributes to the existing body of knowledge by providing invaluable insight into the impact of BIM drivers on BIM awareness in the project lifecycle. Knowledge acquired will help industry stakeholders and government to develop appropriate policies to increase BIM uptake within contemporary practice.

Building information modelling for facility management: are we there yet?

2017 ◽  
Vol 24 (6) ◽  
pp. 1119-1154 ◽  
Author(s):  
Ruwini Edirisinghe ◽  
Kerry Anne London ◽  
Pushpitha Kalutara ◽  
Guillermo Aranda-Mena
Keyword(s):  
Diffusion Theory ◽  
Implementation Process ◽  
Facility Management ◽  
Future Research ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Innovation Diffusion Theory ◽  
Research Areas ◽  
Building Information

Purpose Building information modelling (BIM) is increasingly being adopted during construction projects. Design and construction practices are adjusting to the new system. BIM is intended to support the entire project life-cycle: the design and construction phases, and also facility management (FM). However, BIM-enabled FM remains in its infancy and has not yet reached its full potential. The purpose of this paper is to identify major aspects of BIM in order to derive a fully BIM-enabled FM process. Design/methodology/approach In total, 207 papers were classified into main and subordinate research areas for quantitative analysis. These findings were then used to conceptualise a BIM-enabled FM framework grounded by innovation diffusion theory for adoption, and for determining the path of future research. Findings Through an extensive literature review, the paper summarises many benefits and challenges. Major aspects of BIM are identified in order to describe a BIM-enabled FM implementation process grounded by innovation diffusion theory. The major research areas of the proposed framework include: planning and guidelines; value realisation; internal leadership and knowledge; procurement; FM; specific application areas; data capture techniques; data integration; knowledge management; and legal and policy impact. Each element is detailed and is supported by literature. Finally, gaps are highlighted for investigation in future research. Originality/value This paper systematically classifies and evaluates the existing research, thus contributing to the achievement of the ultimate vision of BIM-enabled FM. The proposed framework informs facility managers, and the BIM-enabled FM implementation process. Further, the holistic survey identifies gaps in the body of knowledge, revealing avenues for future research.

Building Information Modelling and vertical farming

Facilities ◽  
2017 ◽  
Vol 35 (13/14) ◽  
pp. 710-724
Author(s):  
Rana Raheel Afzal Khan ◽  
Vian Ahmed
Keyword(s):  
Food Production ◽  
Design Science ◽  
Facility Management ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Vertical Farming ◽  
Building Information ◽  
Food Challenges ◽  
Digital Prototype

Purpose The UN statistics show that the world’s population is expected to be nine billion by the 2050. As a result, the food production must also be raised to 70 per cent or more. Vertical farming (VF) is an innovative and alternative approach to meet the challenges; however, its management will also be a challenge. This paper, therefore, shares the understanding of future food challenges and Building Information Modelling (BIM) and its application to manage the facility. Design/methodology/approach A conceptual digital prototype of a VF is developed in a BIM environment using design science. First, the data are collected from literature review and then analysed and simulated for optimum conditions in a BIM-enabled digital prototype. Findings The results showed that BIM to manage a VF has not been researched or explored yet. However, BIM has proven its numerous benefits to the architecture, engineering and construction and facility management industries, and it is a powerful solution to design and manage VF to solve future food production problems. Originality/value There is a very limited research on VF in the literature, and BIM for VF is also not discussed or researched yet. The originality and value of this research stems from both expanding BIM horizons and designing and managing VF.

Critical success factors for building information modelling (BIM) implementation in Hong Kong

2019 ◽  
Vol 26 (9) ◽  
pp. 1838-1854 ◽  
Author(s):  
Daniel W.M. Chan ◽  
Timothy O. Olawumi ◽  
Alfred M.L. Ho
Keyword(s):  
Hong Kong ◽  
Construction Industry ◽  
Critical Success Factors ◽  
Success Factors ◽  
Information Modeling ◽  
Success Factor ◽  
Project Staff ◽  
Content Type ◽  
Critical Success ◽  
Building Information

Purpose Some initiatives have been proposed and implemented to facilitate successful project delivery and improve coordination and collaboration in the design, construction and management phases of project development. Building information modeling (BIM) is one of those initiatives that, though recent, however, have made a significant impact on the construction industry in some countries. The paper aims to discuss this issue. Design/methodology/approach This paper aims to explore the critical success factors for BIM implementation in the architecture, engineering and construction industry of Hong Kong through a mixed research method (structured empirical questionnaire survey and expert interviews). Findings The most influential success factor relates to the client’s acceptance with BIM projects, proper organizational structure to support a BIM system within the company and financial aid from the government to set up the BIM system. The expert interviewees also stressed the need for willingness from project staff members to learn and utilize BIM. Practical implications This study has contributed to the establishment of more practical and effective strategies for ensuring full adoption of BIM in Hong Kong. Practical recommendations for enhancing BIM adoption in the construction industry were highlighted. Originality/value This study has established the key drivers leading to the success of BIM implementation in Hong Kong, as well as in the perspective of construction experts on how to enhance its uptake in construction projects.

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