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The ASEAN Economic Community (AEC) initiative poses both significant opportunities and difficult challenges to the Malaysian SME communities. This study aims to investigate the preparedness of the local SMEs to compete and exploit opportunities in a post-AEC era. The aim is to contribute to existing literature and knowledge base on SMEs’ practices in the ASEAN region. The manufacturing sector has been selected for study, and the research efforts focus on procurement competencies. SME procurement practices in the two largest manufacturing sub-sectors in Malaysia – resource-based (RB) and electrical and electronics (E&E) – are explored.

Preparedness for AEC is gauged from four key performance areas summarized from literature review. Six key research activities are also identified for each performance area from the findings of previous works. Data were collected using a survey instrument and face-to-face interviews. Research methodology is primarily qualitative with quantitative data for robustness check.

The findings reveal peculiar procurement practices in Malaysian SME manufacturers that have significant implications on their preparedness to compete effectively post-AEC. The findings also highlighted the key influences that have contributed to variations in Malaysian SMEs’ attitude toward trade liberalization challenges and business process improvements in comparison with practices in foreign firms and more advanced economies.

Theoretical models have been adopted across business settings and environments by managers. This study reveals managerial practices in Malaysian SME manufacturers run counter to developed theories. The peculiarities and business attitudes of this resilient economic sector can be an important input to managerial decision-making when analyzing business activities in the region.

Policymakers are developing government-level pandemic response strategies (GPRS) to assist architecture, engineering and construction (AEC) enterprises. However, the effectiveness of the GPRS has not been assessed. Therefore, this study aims to investigate the interrelationships between GPRS and AEC enterprises. To achieve that aim, the study objectives are to compare GPRS effectiveness between small-medium and large AEC enterprises, develop groupings to categorize interrelated GPRS and evaluate the effectiveness of the GPRS and interrelated constructs.

A systematic literature review and semi-structured interviews with 40 AEC industry professionals were carried out, generating 22 GPRS. Then, questionnaire survey data was collected among AEC professionals. In total, 114 valid survey answers were received and analyzed using the Kruskal–Wallis H test, normalized mean analysis, factor analysis and fuzzy synthetic evaluation.

Small-medium enterprises have four distinct critical GPRS: “form a special task force to provide support in maneuvering COVID-19,” “provide infrastructure investment budgets to local governments,” “develop employee assistance programs that fit all types of working groups” and “diversify existing supply chain.” Large enterprises have two distinct critical GPRS: “provide help in digitalizing existing construction projects” and “mandate COVID-19 as force majeure.” Eighteen GPRS can be categorized into the following five constructs: “market stability and financial aid,” “enterprise capability management,” “supply chain improvement,” “law and policy resources” and “information and workforce management.” The former two constructs are more effective than other GPRS constructs.

This is the first paper that evaluates the effectiveness of GPRS for AEC enterprises, providing new evidence to policymakers for well-informed decision-making in developing pandemic response strategies.

Building information modelling (BIM) has had a significant impact on the architecture, engineering and construction (AEC) sector in the past several years. However, not much is published concerning small and medium-sized enterprises (SMEs) adopting BIM in the construction industry. To address this knowledge gap, a complete and in-depth literature review of the adoption of BIM by SMEs in the AEC sector is conducted in this study. The paper also provides a comprehensive review of the mainstream studies of adoption of BIM in the AEC organisations.

Based on a five-stage literature review, 54 articles on the adoption of BIM by SMEs from the period 2009 to 2019 were critically analysed from the following three perspectives: (1) the number of articles produced; (2) the research focus and (3) the author's contributions. The techniques of the visualisation of similarities (VOSviewer) software were used to analyse the citation networks of the 54 articles as identified.

From the analysis, it was established that the number of studies on BIM adoption by SMEs in the reviewed journals has not been increasing and not many articles are available. The finding makes the argument that BIM adoption by SMEs is not a focus point but rather the adoption and implementation of BIM is generalised in the AEC sector. In addition, the results revealed that most of the published articles come from the United Kingdom (UK). However, this finding is hardly surprising due to the requirements in the UK, which have made the adoption of BIM mandatory on all publicly funded projects and are at level 2 BIM. The other highly ranked countries by origins of studies on the adoption of BIM by SMEs were found to be Australia and the United States of America (USA), all of which are developed nations or economies. Some key BIM in SME research trends (adoption, enforcement, benefits, strategies, skills gap, awareness, education and training, and technology) were identified and evaluated.

The results presented in this journal are only applicable to SMEs in the AEC sector. As a result of little available literature on the adoption of BIM in developing countries, the articles have been drawn from developed countries. The dataset was mainly extracted from the Scopus database for the analysis.

An accomplished series content analysis of the implementation and adoption of BIM by SMEs from international construction journals were reported. The study makes significant and emergent contribution by building on the foundation of BIM research in SMEs as well as providing a reference point for the interpretation of findings, as well as directions for future research.

This study aims to investigate the interrelationships between COVID-19 pandemic impact and architectural, engineering and construction (AEC) organizations. To achieve that aim, the objectives are to: identify the critical pandemic impact (CPI) of COVID-19 on AEC organizations; compare the CPI between the different organization characteristics; and analyze the interrelationships between the CPI.

A systematic literature review of 519 articles and in-depth interviews with 40 AEC practitioners were carried out, yielding 12 COVID-19 impacts. Then, data on the 12 impact’s criticality were collected through a survey among AEC practitioners. In total, 127 valid responses were received and analyzed using mean ranking analysis, analysis of variance and Spearman’s correlation. The findings were also compared with pandemic impacts from prior works.

Five CPI exist among the 12 impacts, namely, “reduced construction productivity,” “reduced foreign investment in the construction industry,” “reduced demand on construction-related works,” “disruption in the supply chain” and “reduced number of public projects.” “Reduced foreign investment in the construction industry” and “reduced demand on construction-related works” significantly impact small-medium enterprises than large enterprises. Also, “disruption in the supply chain” and “reduced construction productivity” are recurring impacts in all countries compared. Finally, moderate relationships exist between “reduced foreign investment in the construction industry” and “reduced demand on construction-related works” and “disruption in the supply chain” and “reduced construction productivity.”

The findings can be used to prioritize available resources in developing short-term responses for COVID-19. Also, action plans can be developed to mitigate the CPI from recurring.

Given the complexity of building information modeling (BIM) adoption decisions in small- and medium-sized enterprises (SMEs) in the Architecture, Engineering and Construction (AEC) industry, understanding BIM adoption decision-making through the net effect of a single factor on BIM adoption decisions alone is limited. Therefore, this paper analyzed the co-movement effect of managers' psychological factors on the BIM adoption decisions from the perspective of managers' perceptions. The purpose is to let managers have a deep understanding of their BIM adoption decisions, and put forward targeted suggestions for the AEC industry to promote the adoption of BIM by SMEs.

Data from 192 managers in SMEs collected by the questionnaire were used in a fuzzy set qualitative comparative analysis (fsQCA). Due to the limitations of fsQCA in making the best use of the data used, as a complement to fsQCA, necessary conditions analysis (NCA) was used to analyze the extent to which necessary conditions influenced the outcome.

(1) NCA analysis shows that high perceived resource availability (PRA) and high performance expectancy (PE) are necessary conditions for high BIM adoption intention (AI). (2) fsQCA analysis shows that high PE is the single core condition for high AI. fsQCA analysis identifies three configurations of managers' psychological factors, reflecting three types of managers' decision preferences, namely benefit preference, loss aversion and risk avoidance, respectively. Different decision preferences may lead to different BIM adoption strategies, such as full in-house use, partial in-house/outsourcing and full outsourcing of BIM processes. (3) High perceived risk (PR) and low perceived business value of BIM (PBV) are the core conditions for low AI.

This paper expands on the application of fsQCA to context of BIM adoption decisions. Based on the results of fsQCA analysis, this paper also establishes the relationship between managers' decision-making psychology and BIM adoption strategy choice and analyzes the impact of different decision biases on BIM adoption strategy choice. It concludes with suggestions for encouraging managers to adopt BIM and for avoiding decision-making bias.

To reach its full potential, Building Information Modelling (BIM) should be implemented throughout the supply chain. The purpose of this study is to explore BIM implementation and adoption among Small and Medium Enterprises (SMEs) in the UK Architecture, Engineering and Construction (AEC) sector. The paper addresses two key issues: the slow rate and lack of homogeneity of BIM adoption in the SME sector.

The study uses qualitative and quantitative methods to investigate BIM uptake and test for correlations between organisational features and BIM aspects. The sample includes data from SMEs based in the South East of England, which are then analysed using descriptive and inferential statistics.

The results show that, although SMEs have some understanding of BIM-related concepts, their familiarity with existing BIM software support systems is particularly low. Limited financial capacity is identified as the primary barrier to BIM adoption while knowledge exchange initiatives are the most useful measure in facilitating further implementation. The variations of SMEs in the adoption and implementation of BIM are mostly affected by company size, professional discipline and offered services. The paper also demonstrates that a one-size-fits-all approach to BIM implementation in the AEC sector has limited potential.

The heterogeneity of SMEs in the AEC sector has been considered to a very limited extent. This paper considers the nature, characteristics and core business areas of SMEs as factors affecting BIM adoption and implementation.

This study aims to evaluate and investigate the dynamics of the barriers to building information modelling (BIM) adoption from the perspective of small and medium-sized enterprises (SMEs) in developing countries with the Nigerian construction industry as a case study.

An interpretive structural modelling approach was adopted to develop a hierarchical model of the interrelationships of the barriers. Also, the Matrice d’Impacts croises-multipication applique a classement analysis was used for categorisation of the barriers.

The findings revealed that the barriers are from a sociotechnical context and that SMEs have the will to drive BIM adoption by focussing more on their internal environment.

This study presented the adoption of BIM in SMEs, which is underrepresented in extant studies. Also, it contributes to the nascent discussion of BIM from the perspective of SMEs in developing countries.

Building information modelling (BIM) research studies are highly contextual as the contexts provide lenses for interpreting the results. However, there has been a growing decontextualization in extant studies especially between the small and medium-sized enterprises (SMEs) and large firms; and between developed and developing countries. Albeit these contexts are all in the same construction industry, they often react differently to the same conditions. Thus, this study aims to evaluate the perceptions of firms in varying contexts of size and location on the perceived barriers to the implementation of BIM in the architecture, engineering and construction (AEC) industry.

The perceptions of 228 firms gleaned from 26 countries across the 6 continents were collated via an international empirical questionnaire survey. The data was analysed using the mean score, rank agreement analysis, Mann-Whitney U test and factor analysis.

The findings revealed the major factors impending BIM implementation in each of the contexts and a comparative analysis emphasized the difference in their perceptions. The findings underscore that there is a general digital divide as regard BIM implementation between the SMEs and large firms, and a deepening divide between the developed and developing countries.

The study has provided empirical evidence for the BIM divide in the AEC industry, which would influence the promulgation of BIM policy and transferability of best practices across varying contexts of both firm size and country level.

The business benefits envisaged for BIM represent the main criteria for decision-making about BIM implementation – or shy away from BIM. Despite the significance, traditional evaluation techniques have difficulty to capture “the true value” of BIM from multiple levels and dimensions – as an effective evaluation method is supposed to. This study aims to identify the significant factors that affect BIM return on investment (ROI), develop an integrated model for companies and examine the influence of intangible returning factors of BIM on the rate of BIM implementation.

A cluster sampling technique was used; 92 questionnaires completed by Australian architecture, engineering and construction small- and medium-sized enterprises (SMEs) provided the basis to identify and analyse the key measurable returning factors, value drivers and strategic benefits associated with BIM ROI.

Applying the PLS-SEM technique, findings reveal that a lack of reliable quantification methods for the ROI factors associated with BIM significantly affects the organisation's commitments to implement BIM. In essence, the failure to adequately identify and assess these benefits could result in the system not being appropriately implemented and supported by executive sponsors, who give priority to hard and tangible ROI measurements.

The outcome of this study would be of direct appeal to policymakers, industry professionals and the academic community alike, in providing data-informed insight into the intersection between the implementation of BIM and the concept of ROI. Findings would provide a springboard for further research into using ROI factors to increase BIM implementation. Though the findings are directly applicable and contextualised for Australia, they provide lessons and offer a blueprint for similar studies in other countries and settings. That is, regardless of the context, findings raise awareness and provide a point of reference for the quantification of intangible returning factors rather than the tangible returning factors, as one of the first studies in its kind.

The study provides original insight in drawing attention to an untapped area for research in BIM implementation, namely BIM ROI. Apart from raising awareness around BIM ROI, the study is novel in providing a quantified model that establishes the links and level of impacts of various factors associated with BIM ROI. Findings of this study, particularly add value to the body of knowledge related to the business implications associated with BIM implementation in the context of Australian SMEs, while providing lessons for other countries and settings.

The purpose of this paper is to study the radical innovation process behind the adoption and implementation of building information modelling (BIM) for a specialty contracting small or medium enterprise (SME). This paper offers two distinct perspectives on BIM adoption and implementation, which are underrepresented in the current literature: the SME perspective and the specialty contractor perspective. It also attempts to bridge the gap between the growing literature on BIM adoption and implementation and the established literature on innovation by developing the notion of embedded contexts in the innovation process.

A mixed-method, longitudinal case study approach was used in this research project to study the evolution of the innovation process and its impact on the Organisation over time. The objectives of this research were to investigate and document the different factors mediating the BIM adoption and implementation process for the Organisation across various contexts, the mechanisms put in place to facilitate this process and the perceived impact within the Organisation.

The initial transition to BIM represented a radical innovation for the Organisation. Subsequently, a series of incremental innovations took place to further advance the Organisation’s BIM capabilities. This innovation process is influenced by different layers of embedded contextual factors, which can be mitigated by, among others, a clear strategic approach towards the innovation process. Furthermore, despite a limited sphere of influence, specialty contractors can leverage BIM within their own supply chain to reap significant benefits.

This paper offers an in-depth study of radical innovation within a specialty contracting SME. This study discusses the influence of four embedded contexts on innovation for a specialty contracting SME: the industry context, the institutional context, the organisational context and the project context. It also offers insight into the factors, mechanisms and their impact on the innovation process.