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This paper researches the diffusion patterns of various BIM functionalities across the Middle East and North Africa (MENA) construction industry.

The study grounds on the innovation diffusion theory proposition that both the internal and external factors drive the widespread adoption of innovative trends. The study empirically analyzes the diffusion patterns of BIM by employing and comparing three mathematical influence models: internal, external and mixed models.

The results of the questionnaires point out that the mixed model as having the highest explanatory power and shows that the internal influence factors outperform the external factors in affecting the diffusion of BIM functionalities in the MENA Architectural, Engineering, and Construction (AEC) industry.

This paper can be of significant value for academic researchers as well as BIM business developers who are interested in emerging markets via providing an enhanced understanding of the adoption process of different BIM functionalities as well as a theoretical basis for explaining the diffusion patterns of information technology innovations in the AEC industry.

This study is among the first applications of the influence models to examine the adoption of BIM functionalities in the AEC industry and the very first across the MENA region.

Despite the critical role of the policy environment in facilitating the advancement of building information modeling (BIM) as a systemic innovation to reshape traditional facility design, construction and operation processes, scant scholarly attention has been paid to systematically investigating how and why complex BIM policies are concretely and gradually implemented in different regional contexts from a dynamic policy diffusion perspective. This study aims to empirically investigate how different types of BIM policy instruments are dynamically implemented in heterogeneous regions over time and how the diffusion of BIM policies across different regions is comprehensively impacted by both internal efficiency needs and external legitimacy pressures.

This study employed a positivist research paradigm in which BIM policy data from 182 prefecture-level and above cities in China during 2011–2022 were analyzed with quantitative approaches for theory verification. Based on the content analysis of the evolutionary characteristics of the adopted BIM policy instruments in heterogeneous regions over time, the event history analysis (EHA) method was then used to further examine the mechanisms underlying the diffusion of BIM policies across different regions.

The content analysis results show that while environmental instruments (such as technological integration and goal planning) are the primary policy instruments currently adopted in China, recent years have also witnessed increasing adoptions of supply-side instruments (such as fiscal support and information support) and demand-side instruments (such as demonstration projects and tax incentives). After controlling for the impacts of regional fiscal and technical resources, the EHA results illustrate that BIM policy adoption positively relates to regional construction industry scale but negatively relates to regional industry productivity and that compared with public pressures from industry participants, vertical pressures from the central government and horizontal pressures from neighboring regions are more substantial drivers for policy adoption.

As an exploratory effort of using a dynamic policy diffusion perspective to systematically investigate how BIM policies are adopted in heterogeneous regional contexts to facilitate BIM advancement, this study not only characterizes the complexity and dynamics of BIM policies but also provides deepened understandings of the mechanisms underlying policy adoption in the conservative construction industry. The findings hold implications for how multifarious policy instruments can be more effectively and dynamically adopted to facilitate the advancement of BIM and related technologies as innovative solutions in the construction domain.

This research is built up upon exploring the concepts of building information modeling (BIM) adoption and strategy formulation with the aim to develop a strategy for implementing BIM in the Egyptian construction industry.

The development of the BIM implementation strategy was based on two pillars, namely the literature review and results of the survey questionnaire and interviews. First, the review of literature helped investigating the BIM challenges and international strategies developed to implement BIM worldwide.

The research presented recommendations to assist policymakers in Egypt to facilitate BIM implementation.

Although multiple frameworks have been proposed to aid in BIM implementation, a practical strategy to implement BIM in Egypt is still lacking. Moreover, current market scale studies neglect nonsoftware aspects of BIM adoption, do not identify market gaps or reflect market-specific criteria. As such, it cannot be used by policymakers to facilitate BIM diffusion.

The purpose of this study is to establish an enhanced model of the innovation-decision process (IDP), specifically for construction. As context, innovation diffusion theory (IDT) is concerned with explaining how some innovations successfully stick whilst others fail to propagate. Because theoretical models provide abstracted representations of systems/phenomena, established IDT models can help decision-making units with innovation-related sense-marking and problem-solving. However, these occasionally fail or require enhancement to represent phenomena more successfully. This is apparent whenever middle-range theory seems ill-fitted to the complexity of construction.

Qualitative research via 13 semi-structured interviews occurred, with participants recruited via convenience and purposive sampling strategies. The study forms part of a broader mixed-method study (n = 246) informed by a research philosophy of pragmatism, investigating the applicability of classic IDT to the adoption of four-dimensional (4D) building information modelling (4D BIM) by the UK construction sector.

This diffusion study resulted in the adaptation of an existing IDP model, ensuring a better contextual fit. Classified more specifically as a modular-technological-process innovation, 4D BIM with its potential to provide construction planning improvements is used as a vehicle to show why, for construction, an existing model required theoretical extensions involving additional stages, decision-action points and outcomes.

This model can assist construction industry actors with future adoption/rejection decisions around modular-technological-process innovations. It also aids the understanding of scholars and researchers, through its various enhancements and by reinforcing the importance of existing diffusion concepts of compatibility and trialability, for these innovation types.

An enhanced model of the IDP, specifically for construction, is established. This construction-centric contribution to IDT will be of interest to construction scholars and to practitioners.

This study aims to focus on the four user characteristics of innovation diffusion (availability, observability and trialability [AOT], simplicity, relative advantage [RA] and interoperability) to observe their influence on building information modelling (BIM) usage. This study focuses on the Kenyan construction industry, specifically the building contractors.

This study uses purposive sampling and specifically focusses on active construction sites that met requirements needed for BIM usage to thrive. Data was collected manually using questionnaires (N = 62).

This paper contributes to the analysis of the current state of BIM usage by the Kenyan construction industry specifically among building contractors and confirms that Kenya is at the early majority adopters’ stage of diffusion characterised by low BIM usage. In terms of correlation, this study found out that AOT had a strong positive correlation with usage, RA had a moderate positive correlation with usage, simplicity had a weak positive correlation with usage and interoperability had no correlation with usage.

This study gives a clear trend on BIM usage among building contractors to assist potential BIM users make informed decision. The recommendations in this study can be adopted by any late adopter jurisdiction whose structure of the construction industry is similar to Kenya’s.

This paper highlights variables that enable or subdue BIM usage. It goes further to localise and contextualise the barriers for deeper understanding of what makes these barriers be major hindrances towards BIM usage and giving practical solutions to these barriers.

Successful adoption of building information modelling (BIM) by early adopters is crucial for its effective diffusion. The purpose of this study is to develop a framework of understanding that supports contextualized understanding of BIM adoption decisions in a BIM infant industry. The framework bridges the gap in current knowledge in terms of the absence of such a framework, which has hindered the structured understanding of the BIM decision of an adopter, curtailing the appropriate strategizing of their BIM adoption.

The study focuses on a BIM infant industry, where early adopters begin using BIM, allowing insights into this crucial initial stage of adoption. Identifying affordances as a versatile concept that could effectively represent not only what an adopter perceives and expects from BIM implementation, but also, what the adopter, in fact, can achieve from it, an affordance-led framework of understanding (AFU) was developed to comprehensively capture varying dynamics of BIM decision process. The study took a qualitative retroductive approach to theory with semi-structured interviews to gather necessary data from a sample of BIM adopters purposively selected to maximize the breadth and depth of data.

The study concludes by identifying and defining pertinent affordances as a new concept and a compulsory state for BIM adoption. Findings further demonstrate that existing theories can be linked to the AFU to strategically direct the affordances dynamics towards the pertinent state.

The AFU enables a deeper contextualizable view of innovation adoption that was absent in existing innovation studies. It significantly enhances the precision of strategizing BIM adoption compared to previous approaches, enabling adopters to plan and implement BIM in a manner that aligns well with their expectations and specific conditions.

Exploratory research was undertaken focusing upon an innovation adoption decision taken by a regional UK division of a large international contracting organisation implementing building information modelling (BIM) into their project delivery processes. The purpose of this paper was to gain new insights through observations of the process and analysis of the views of employees about organisational BIM adoption during the implementation stage of the innovation-decision process.

Case study research was performed focussing on initial BIM projects delivered by an early adopter organisation. Observations and semi-structured interviews were used as part of a data collection strategy, and an iterative research approach was adopted.

During implementation stages of BIM innovation adoption, organisations may have to make use of hybrid project delivery methods on initial adopter projects while also working concomitantly with existing systems, processes and personnel not yet ready to adapt to BIM methodology.

The work captures previously unseen phenomena of how such an organisation and its staff have adapted to BIM innovation adoption during a programme of organisational change. The identification of hybrid project delivery processes has generated further implications for practice and research into the effectiveness of construction production information management.

Conscious of the benefits building information modeling (BIM) has brought about to the architecture, engineering, construction and operations (AECO) industry, the Chinese government has been driving BIM adoption. Nonetheless, its acceptance and proliferation in China remain stagnant. Most relevant literature focuses on BIM diffusion at the industry and organizational levels, but the impact of non-managerial practitioners executing BIM or the traditional drafting approach in day-to-day work tends to be disregarded. This study aims to extend theoretical models pertaining to technology acceptance to understand non-managerial practitioners’ perceptions toward working with BIM in China.

A new BIM acceptance model was proposed based on previous technology acceptance theories. After a pilot study, a survey was conducted with 153 non-managerial practitioners in the Chinese AECO industry.

Among factors impacting non-managerial practitioners’ BIM acceptance in China, performance expectancy and task-technology fit significantly and positively influence behavioral intention to accept BIM, while the impacts from effort expectancy, social influence and facilitating conditions are not essential.

Management strategies, such as improving non-managerial staff’s benefits and sense of BIM usefulness, selecting suitable tools to match with the staff’s tasks and promoting a middle-out approach in parallel with top-down interventions, are proposed for Chinese AECO organizations to enhance BIM acceptance.

Few studies have explored BIM acceptance from the perspective of non-managerial users in the Chinese AECO industry, especially using the theories related to technology acceptance. The BIM acceptance model developed in this study is different from those used in previous global studies in terms of influencing factors.

The purpose of this paper is to systematically analyse how building information modelling (BIM) transforms complex infrastructure settings (i.e. airports) around digital technologies by enhancing connectivity and collaboration between major stakeholders and construction technology solutions. The objectives include understanding each project party's perspective for BIM implementation to align their motivations and connectivity along project's supply chain network and how BIM drives construction technology ecosystem uses for a more integrative and collaborative project delivery.

The study adopts qualitative data collection and analysis methods comprising semi-structured interviews, thematic analysis and an explanatory case study of a large-hub airport project.

The study findings show that enabling BIM implementation leads to streamlining construction technology ecosystem uses that increase connectivity within project parties' processes. Airports – as hosting high-value assets – can fast realize value of synergistic activities throughout project delivery by harnessing significant amount of siloed data created by each major party.

The study provides a structured analysis of how complex project settings leverage construction technology uses through their core BIM processes by highlighting multi-party approaches from an ecosystem perspective. This study also contributes to the body of knowledge and practice by presenting a transferrable and scalable approach for leveraging connected construction technology in a large-scale project involving fragmented processes managed by a large number of stakeholders.

In the architecture, engineering and construction (AEC) industry, a “digital divide” exists in technology adoption because SMEs (who often form the bulk of AEC organisations in most countries) are thought to be “Late Majority” and “Laggards” in the adoption of Building information modelling (BIM) technology. Larger organisations not saddled with financial and socio-technical constraints might be considered as being among the “Early Majority” or “Innovators”. It is crucial to understand how these organisations differ in their speed of BIM technology adoption and the rationale for this difference. The purpose of this paper is to investigate the potential causes of the digital divide and suggest solutions for bridging the gap.

Using mixed research method, data were collected through online questionnaire survey of over 240 global respondents as well as a semi-structured interview with nine experts for which statistical and thematic analyses were used, respectively.

Organisations can be zoned into “layers” and “levels” of BIM technology adoption and their size is not always significant in terms of the speed at which they adopt BIM. The digital divide is unequal across layers/levels and large organisations utilise technologies across the BIM maturity levels depending on project circumstances. A conceptual model for BIM technology was developed to aid identification of the “Laggards” and “Late Majority” from the “Innovators” through which change agents can customise adoption strategies for each group.

The developed model could serve as a tool for engagement and policy making and it contributes to the body of knowledge in the field of BIM technology adoption.