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The study aspires to enhance comprehension of the intricate interplay between supply chain management (SCM) and resilience in family businesses, thereby offering valuable insights to managers and policymakers endeavouring to foster resilience in uncertain environments.

Commencing from the premise that family businesses (FBs) prioritize the preservation of socio-emotional wealth (SEW) when formulating strategic decisions, this study endeavours to advance understanding of supply chain practices adopted by FBs and their direct impact on resilience during crisis situations or economically challenging periods. Through an exploratory case study of nine FBs, the present research reveals four pivotal strategies in SCM that contribute to their resilience: (i) reorganization of inventory management; (ii) cultivating close relationships with suppliers; (iii) emphasizing product quality and customer retention; and (iv) implementing cost reduction measures to bolster resilience. The aim of the study is to provide an in-depth understanding of the intricate interplay between SCM and resilience in FBs, thereby offering valuable insights to managers and policymakers endeavouring to foster resilience in uncertain environments.

Our approach offers a theoretical framework for SCM aligned with prior research on the interplay between characteristics of family businesses and resilience strategies. Furthermore, this paper illustrates how factors such as the emphasis on high-quality products and services by family businesses contribute to achieving non-economic objectives that owners adopt to reconcile family and business needs, creating intrinsic added value for the company. It reveals various challenges in SCM, including inventory organization changes, supplier closures and the significance of customer retention. Family businesses are implementing product and technology enhancements and leveraging digitization to enhance supply chain processes.

This paper contributes significantly to the field of FBs by highlighting the crucial role of SCM in enhancing business resilience during crises. It empirically examines how the SEW characteristics of FBs influence the reconfiguration of their supply chains to enhance resilience, presenting a theoretical model for this context. Our theoretical framework employs an SEW perspective to elucidate how FBs respond to the challenges posed by the COVID-19 pandemic by adapting their SCM processes to safeguard their social and emotional legitimacy, organizational visibility and reputation. These adaptations gain particular relevance during crises or turbulent conditions, potentially leading to alterations in how FBs formulate their supply chain strategies and manage supply chain-related processes.

BIM has much potential to improve the effectiveness of construction works with respect to design, construction and maintenance. However, many Architecture, Engineering, and Construction (AEC) firms are still lagging in the adoption and implementation of BIM in both developing and developed countries. The purpose of this study is to assess the barriers to BIM implementation, and examine the ways forward to improve BIM adoption within the Nigerian AEC firms.

A comprehensive literature review and questionnaire survey were used in the study. The survey targeted four different AEC firms. These include architectural firms, facility management firms, quantity surveying firms and structural engineering firms in Lagos, Nigeria. The data obtained were analyzed using mean score, standard deviation, Kruskal–Wallis test, and factor analysis.

The study identified 20 barriers to BIM implementation and identified ten ways forward to improve BIM adoption in AEC firms, particularly in Nigeria. The relative importance of both the identified barriers and the ways forward were gauged. The Kruskal–Wallis tests revealed that except for one (out of 20) identified barriers, and one (out of 10) identified ways forward; there is no statistical significant difference in the perceptions of four different AEC firms. The factor analysis result grouped the 20 identified barriers into three major factors to include: weak top management support and BIM environment related issues; cost of BIM software and training issues; and incompatibility, legal, contractual, and culture related issues.

The significance of the study cannot be over-emphasized due to BIM relevance to construction stakeholders and researchers at large.

The study findings would inform the decisions of the construction stakeholders to make some policy recommendations capable of positively influencing the full BIM implementation in AEC firms.

Architecture, engineering and construction (AEC) is an important industry worldwide and one of the largest economic sectors in several developing countries, particularly in Iran. The Iranian AEC sector suffers from low productivity and needs to adopt building information modeling (BIM) to reduce inefficiencies. Therefore, this paper was conducted to identify the BIM barriers and propose practical solutions to overcome them in Iran.

A comprehensive literature review, two rounds of the Delphi technique and semi-structured interviews with 12 Iranian experts in the AEC sector were conducted. The data were analyzed using the mean score, standard deviation and nonparametric tests.

The present study identified 26 BIM barriers in the Iranian AEC community and provided practical strategies for improving BIM adoption. The identified barriers were categorized into six main groups including source barriers, financial barriers, unawareness barriers, organizational barriers, regulatory barriers and market-demand barriers. The main three BIM barriers in Iran were the lack of government intervention, change-resistant and the gap between industry and academia. Kruskal–Wallis tests revealed that there are no statistically significant differences in perceptions of BIM barriers between respondents. The Mann–Whitney test indicated that there is no statistically significant difference in perceptions between engineers and architects except for one.

There are few studies on BIM adoption across developing countries, particularly in Iran. Moreover, the results can also be used in other developing nations with similar conditions.

This study examined factors influencing the organisational capabilities of the public sector for building information modelling (BIM) implementation in construction projects with a view to enhancing the performance of public sector projects.

The study adopted a quantitative descriptive analysis that was based on primary data. In total, 198 valid questionnaires obtained from construction professionals within the public sector provided primary quantitative data for the assessment. The respondents provided the responses on the factors which were identified through an in-depth synthesis of literature relating to organisational capabilities of the public sector. Data collected were analysed using descriptive and inferential statistics.

The findings established that the potential of the public sector to deploy BIM in construction projects is greatly influenced by varying degree of organisational capability attributes with bureaucratic culture (mean score, MS = 3.37), structural complexity (MS = 3.17), lack of skilled and trained staff (MS = 3.12), personnel stability (MS = 3.11), staff cooperation (MS = 3.09) and political constraint (MS = 3.07) ranked highest. Through factor analysis, these and other highly influential factors were grouped into eight components, namely management-related, policy-related, technical-related, attitude-related, work structure-related, work ethic-related, decision-related and feedback-related factors. This grouping reflects the various components of organisational capability attributes which the public sector needs to efficiently develop to benefit from project management paradigm introduced by BIM.

This study provided information for improving specific capability attributes with respect to human and technical resources as well as other soft infrastructure to support BIM implementation on building projects by the public sector client. The study also serves as a guide for understanding BIM implementation by the public sector in similar socio-political and economic contexts.

This assessment indicates various degrees by which the organisational attributes of public sector have influenced the attributes' capability to implement BIM on construction projects. Thus, findings provide information on areas of improvement for better implementation of BIM by the public sector in project delivery.

The opportunities that the building information modeling (BIM) mode of project delivery presents warrant the need for the construction professionals to be adequately trained on BIM technology and processes. The purpose of this paper is to assess the training gaps that exist between the perceived and expected knowledge of BIM practice among construction professionals in Nigeria.

The study was carried out through a structured questionnaire survey administered on identifying training gaps among registered Nigerian construction professionals toward BIM adoption. Relevant information on the perceived and expected BIM mode of practices was systematically collected from 212 participants who are familiar with BIM concepts. The data generated were analyzed using descriptive statistics and gap analysis.

Gap analysis was employed in determining the significance of BIM training gap for various practices among the construction professionals. The most significant gaps in BIM practice with gap analysis value>1 are the project review technique and clash detection for architectural practice. Among quantity surveyors, cost estimating, preparation of bills of quantities and project budgeting are the practice areas where there are significant training gaps in adopting BIM. For engineering practices, the gap analysis reveals a significant training gap in design creation and coordination, as-built-modeling, clash detection and space management.

The research is limited to the perception of the respondents on actual and ideal BIM practices, not considering the process workflow, facility requirements and other issues that revolve round BIM adoption and implementation. It is also limited to professionals in the industry, and further studies will be appropriate to address these limitations.

The study reveals that there is a great need to meet the training gaps for BIM adoption in ensuring efficiency of construction project delivery.

The gaps that exist between the actual and expected BIM training were statistically established.

Building information modelling (BIM) adoption is vital to the productivity and competitive nature of the construction sector. However, BIM adoptions have not been generally embraced by many architecture, engineering and construction (AEC) firms, particularly in developing countries. Moreover, studies that investigate the important drivers to BIM adoptions among construction professionals through quantitative approach are limited. The purpose of this study is to address the aforementioned gap.

This study involves a literature review, a pilot study and a questionnaire survey. The primary data were carried out using structured questionnaires distributed to four different BIM adopter AEC firms. These comprised architectural firms, facility management firms, quantity surveying firms and structural engineering firms in Lagos, Nigeria. Data obtained were analysed using mean score, standard deviation, Kruskal–Wallis test and factor analysis.

The study identified 23 drivers to BIM adoption, and the relative importance of the identified drivers was gauged from each selected BIM adopter AEC firm category. The result of the Kruskal–Wallis test showed that there is no statistically significant difference in the perceptions of the four selected AEC firms in the mean ranking of the identified 23 drivers to BIM adoption. The findings from factor analysis categorized the identified drivers into two major factors to include cost and time savings, improved communication, and BIM awareness and government supports.

The study empirically identifies important drivers to BIM adoption that will be useful for construction stakeholders to formulate strategies to adopt the full implementation of BIM in the AEC firms of Nigeria and other developing countries. Also, this study is important as it identifies, analyses and compares the drivers to BIM adoptions from four different AEC firms, thereby providing robust and more reliable findings.

The study findings will provide information to policymakers and construction stakeholders to make policy recommendations that are capable of positively influencing the widespread adoption of BIM in AEC firms in particular and the construction industry at large. This study is important because the studies that comparatively and empirically analyzed BIM drivers in AEC firms are rare, particularly in developing countries. Hence, this study could be used to benchmark future studies in developing countries.

Building information modeling (BIM) is vital in the performance improvement of contracting firms. Thus, there is a need to stimulate its implementation in the construction sector with a view to meeting the competitive demands of the industry. However, there have been very few studies on BIM implementation among contracting firms in Nigeria. Hence, this study aims to examine the current BIM uptake among Nigerian contracting firms, assess the barriers to BIM implementation and examine the ways of improving BIM implementation within these contracting firms.

A questionnaire survey was conducted on contracting firms (comprising small-, medium- and large-sized firms) in Lagos, Nigeria. The obtained data were analyzed using both descriptive and inferential statistics. These included percentage, mean score, standard deviation, the Kruskal–Wallis test and factor analysis.

This study revealed the current state of BIM implementation among contracting firms in Nigeria in terms of their knowledge of BIM, their usage of BIM as well as the BIM software adopted. Furthermore, the study identified 25 barriers to BIM implementation in contracting firms and identified 15 ways to improve BIM implementation in contracting firms. The relative importance of both the identified barriers and the ways for improving BIM implementation was gauged among contracting firms comprising small-, medium- and large-sized firms. The result of the Kruskal–Wallis test revealed that, except for two (out of 25) identified barriers, and one (out of 15) identified ways of improving BIM implementation in contracting firms, there is no significant statistical difference in the perceptions of the three respondents’ groups. The result of the factor analysis categorized the identified 25 barriers into seven main factors.

This study provides empirical evidence on the barriers to BIM implementation and the ways of improving its implementation among contracting firms, thereby providing a better insight of the Nigerian construction industry’s BIM environment.

This study’s findings can positively inform the decisions of construction stakeholders to formulate strategies capable of improving BIM implementation in the construction industry at large.

Although studies have shown the relevance of building information modeling (BIM) in cost estimating process, efforts at investigating BIM based detailed cost estimating among professional quantity surveyors through quantitative approach are scanty. The purpose of this study is to identify and examine the usage of BIM-based detailed cost estimating software and assesses the drivers to BIM adoption within the Nigerian quantity surveying consulting firms.

A comprehensive literature review, pilot study and questionnaire survey were adopted. The survey targeted both the BIM users and non- BIM users’ quantity surveying consulting firms in Lagos, Nigeria. The data collected were analyzed using frequency, percentage, mean score, standard deviation, Mann–Whitney test and factor analysis.

The study found that 46.58 per cent of quantity surveying consulting firms are aware of BIM and have adopted it for detailed cost estimating, while 49.32 per cent of quantity surveying consulting firms are aware but have not adopted BIM-based detailed cost estimating, and 4.10 per cent of quantity surveying consulting firms are not aware at all. Also, the study identified various BIM-based detailed cost estimating software used in quantity surveying practices and found that Microsoft Excel is often used alongside 3D software, Autodesk QTO, Navisworks, Innovaya Composer and CostX are prevalent BIM software used for detailed cost estimating. In addition, the study identified 21 drivers to the adoption of BIM in quantity surveying practices. The result of factor analysis grouped the 21 identified drivers into five principal factors: improved whole lifecycle/design quality, enhanced decision and visualization, cost and time saving, marketing and support for quantity surveyor tasks and government and client pressure.

This study provides significant insight into the application of BIM to quantity surveying consulting practices, thereby enabling consultant quantity surveyors to make informed decisions to select BIM cost estimating software to suit their practices. Further, the study findings can be useful for individuals’, clients’ and contractors’ quantity surveyors to be fully aware of the opportunities BIM could bring in relation to their service delivery.

Accurate cost estimating, effective cost monitoring and control are essential elements to a construction project success. This study further emphasized the importance of BIM to quantity surveying practices, particularly in the area of the detailed cost estimating.