Open Access
Open access
Buildings, volume 13, issue 7, pages 1606

A Multivariate Analysis of the Variables Impacting the Level of BIM Expertise of Professionals in the Architecture, Engineering and Construction (AEC) Industries of the Developing World Using Nonparametric Tests

Publication typeJournal Article
Publication date2023-06-25
Journal: Buildings
scimago Q1
wos Q2
SJR0.575
CiteScore3.4
Impact factor3.1
ISSN20755309
Building and Construction
Civil and Structural Engineering
Architecture
Abstract

Building information modeling (BIM) mandates are becoming more widespread because BIM allows design and construction teams to operate more productively and also enables them to collect the data they generate during the process for use in operations and maintenance tasks. As a result, professionals in the architecture, engineering and construction (AEC) industries are expected to possess excellent BIM expertise. Despite the fact that the developing world has largely not adopted BIM, many studies have been conducted on BIM usage, awareness, drivers and barriers with a focus on the developing world. Numerous studies have pointed to the professionals’ lack of BIM expertise in the developing world’s AEC sector as a major barrier to BIM deployment. Nevertheless, no research has been conducted to assess the variables impacting the level of BIM expertise among professionals. After a detailed review of the literature, the study developed five study hypotheses and created a conceptual model to help assess the variables impacting the level of BIM expertise of professionals in the AEC industry in the developing world. After that, a questionnaire survey was carried out to collect data from 103 seasoned professionals in the Ghanaian construction industry. Nonparametric tests, such as the Kruskal–Wallis, pairwise post hoc Dunn, Mann–Whitney, Pearson’s correlation and the partial least squares structural equation modeling (PLS SEM) tests, were adopted to assess the relationships between the level of BIM expertise of professionals (BE) and the following variables: (1) profession (P), (2) the frequency of BIM use by professionals (BF), (3) the highest dimension of BIM adopted by AEC firms and companies (BD), (4) professionals’ perception of BIM (PB) and (5) the BIM implementation barriers (BIMIBs). P, BF, BD and PB were found to have a substantial impact on the level of BIM expertise acquired by professionals. With regards to professionals’ perception of the BIM software and process, only one (PB3–BIM is not useful to our company at the moment) out of ten of them was found to have a significant impact on BE, highlighting the impact of employers on the level of BIM expertise of professionals. In addition, the study discovered that any resolution made in an attempt to tackle the lack of/insufficient level of BIM expertise among professionals would prove futile without significant effort from the higher education sector (HES) of the developing world and the entire world at large. The study’s conceptual, empirical, managerial and theoretical implications and findings would serve as a roadmap for researchers, professionals and academics in developing nations as they endeavor to seek more ways of increasing BIM expertise among their professionals and to encourage BIM usage throughout the project lifecycle.

Lidelöw S., Engström S., Samuelson O.
Journal of Building Engineering scimago Q1 wos Q1
2023-10-01 citations by CoLab: 16 Abstract  
Benefits of BIM are not being achieved as expected in the mainstream architecture, engineering, construction, and operation (AECO) industries. Here, we aim to contrast expected and realized BIM benefits in AECO companies and discuss explanations for why benefits proposed in literature have, or have not, been realized. A qualitative research approach is applied to collect and analyse interview data from 47 companies in Finland, Norway and Sweden. Findings show that realized benefits typically occur “within the current practice” of individual organizations' project-related work. In contrast, expected but not realized benefits are long-term, lifecycle oriented and challenge current business and practice. Our proposed explanations acknowledge that fully realizing the expected benefits of BIM suggested in the technology-driven research is restrained by the current sector state-of-practice and assumes a high degree of BIM maturity among all cooperating companies. Thus, we discuss how explanations relate to the fundamental change required to radically leverage the benefits of BIM, challenging both current ways of work and the ubiquitous assumption of clients as drivers for BIM implementation in the sector. Based on our research, we argue that client demand is insufficient to realize the promise of BIM. Suggested research implications include a need for greater supply-driven logic among suppliers of BIM expert services, and the integration of multi-disciplinary competencies within and beyond the traditional disciplines. The research demonstrates the gap between state-of-the-art BIM predicted in literature and mainstream industry's adoption and highlights the importance of extending BIM research to better account for socio-organizational and process aspects of benefits and adoption.
Fonseca Arenas N., Shafique M.
2023-10-01 citations by CoLab: 30 Abstract  
In recent decades, the planet has been negatively impacted by the construction industry due to the development of various infrastructures. Thus, it became one of the most polluting sectors that have required increasing the environmental awareness of public and private entities. Under these circumstances, there are urgent efforts required to mitigate these negative impacts. Different approaches have been made for sustainable buildings based on construction technologies, where sustainability must be included as the main premise from the initial stage of the project. Through a systematic literature review, different methodologies are analyzed such as Building Information Modeling (BIM), Life Cycle Assessment (LCA), and Building Energy Modeling (BEM) based on the existing regulations and standards of each country. The existing digital tools allow for the development of various low-carbon technologies, including sustainable materials and new integrations between them to find sustainable solutions and reduce carbon emissions from buildings. Several limitations exist as Building Information Modeling (BIM) software does not have all the green applications. Therefore, clear results are needed for effective indicators to help interested parties appropriate these technologies and invest time and money in projects based on Building Information Modeling (BIM) and learn a useful lesson for future projects from these technological tools.
Plenkovic M., Civljak M., Puljak L.
2023-06-01 citations by CoLab: 2 Abstract  
Objectives Many authors used reporting checklists as an assessment tool to analyze the reporting quality of diverse types of evidence. We aimed to analyze methodological approaches used by researchers assessing reporting quality of evidence in randomized controlled trials, systematic reviews, and observational studies. Study Design and Setting We analyzed articles reporting quality assessment of evidence with Preferred Reporting Items of Systematic Reviews and Meta-Analyses (PRISMA), CONsolidated Standards of Reporting Trials (CONSORT), or the Strengthening the Reporting of Observational studies in Epidemiology (STROBE) checklists published up to 18 July 2021. We analyzed methods used for assessing reporting quality. Results Among 356 analyzed articles, 293 (88%) investigated a specific thematic field. The CONSORT checklist (N = 225; 67%) was most often used, in its original, modified, partial form, or its extension. Numerical scores were given for adherence to checklist items in 252 articles (75%), of which 36 articles (11%) used various reporting quality thresholds. In 158 (47%) articles, predictors of adherence to reporting checklist were analyzed. The most studied factor associated with adherence to reporting checklist was the year of article publication (N = 82; 52%). Conclusion The methodology used for assessing reporting quality of evidence varied considerably. The research community needs a consensus on a consistent methodology for assessing the quality of reporting.
Kante M., Michel B.
2023-05-01 citations by CoLab: 6 Abstract  
Structural equation modelling (SEM) is a statistical technique used in the field of Information Systems amongst others. The technique has been paid attention thanks to its flexibility and predictive power. However, there is a paucity of guidelines in the application of the technique in the field of Behavioural Information Security. Hence, this paper aims to provide a comprehensive guide of using PLS-SEM in disclosure and privacy studies on Social Network Sites (SNSs). Data has been gathered using papers (n=21) published between 2006 and 2022 from scholarly databases such as Google Scholar, Association for Information Systems eLibrary (AISeL), IEEE Xplore and Science Direct. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA 2020) was used to analyse and synthesize the status of the field. Our systematic review covers data characteristics, reasons for using PLS-SEM, the evaluation of measurement models, the evaluation of the structural model and reporting best practices. The review proposed guidelines for the use of PLS-SEM in the discipline of Behavioural Information Security with a focus on disclosure and privacy on SNSs studies and other fields as well.
Guenther P., Guenther M., Ringle C.M., Zaefarian G., Cartwright S.
Industrial Marketing Management scimago Q1 wos Q1
2023-05-01 citations by CoLab: 203 Abstract  
A review of studies published in Industrial Marketing Management over the past two decades and more shows that these studies not only used partial least squares structural equation modeling (PLS-SEM) widely to estimate and empirically substantiate theoretically established models with constructs, but did so increasingly. In line with their study goals, researchers provided reasons for using PLS-SEM (e.g., model complexity, limited sample size, and prediction). These reasons are frequently not fully convincing, requiring further clarification. Additionally, our review reveals that researchers' assessment and reporting of their measurement and structural models are insufficient. Certain tests and thresholds that they use are also inappropriate. Finally, researchers seldom apply more advanced PLS-SEM analytic techniques, although these can support the results' robustness and may create new insights. This paper addresses the issues by reviewing business marketing studies to clarify PLS-SEM's appropriate use. Furthermore, the paper provides researchers and practitioners in the business marketing field with a best practice orientation and describes new opportunities for using PLS-SEM. To this end, the paper offers guidelines and checklists to support future PLS-SEM applications.
Chen Z., Zhou M., Chin K., Darko A., Wang X., Pedrycz W.
Automation in Construction scimago Q1 wos Q1
2023-05-01 citations by CoLab: 74 Abstract  
Building information modeling (BIM) maturity models occupy a crucial role in guiding BIM-reliant stakeholders and enterprises to identify BIM capabilities and facilitate process improvements. Nevertheless, few quantitative BIM maturity models are available for the measurement and improvement of BIM utilization performance. This study designs a refined assessment system for the maturity measurement of BIM-based projects during the design and construction stages. The advocated BIM maturity model combines a probability distribution function aggregation paradigm and a large-scale group decision-making framework to provide an expert-based assessment system for evaluating project-based BIM performance. The case study of the Corning Gen 10.5 glass substrate production line workshop in Wuhan demonstrates the feasibility and effectiveness of the proposed model. This paper establishes a generalizable structural framework that can potentially facilitate BIM maturity analysis in a portfolio of projects or the industry as a whole and will generate fresh insight into designing quantitative BIM maturity models across various contexts.
Magno F., Cassia F., Ringle C.M.
TQM Journal scimago Q1 wos Q2
2022-12-02 citations by CoLab: 63 Abstract  
PurposePartial least squares structural equation modeling (PLS-SEM) has become an established social sciences multivariate analysis technique. Since quality management researchers also increasingly using PLS-SEM, this growing interest calls for guidance.Design/methodology/approachBased on established guidelines for applying PLS-SEM and evaluating the results, this research reviews 107 articles applying the method and published in eight leading quality management journals.FindingsThe use of PLS-SEM in quality management often only draws on limited information and analysis results. The discipline would benefit from the method's more comprehensive use by following established guidelines. Specifically, the use of predictive model assessment and more advanced PLS-SEM analyses harbors the potential to provide more detailed findings and conclusions when applying the method.Research limitations/implicationsThis research provides first insights into PLS-SEM's use in quality management. Future research should identify the key areas and the core quality management models that best support the method's capabilities and researchers' goals.Practical implicationsThe results of this analysis guide researchers who use the PLS-SEM method for their quality management studies.Originality/valueThis is the first article to systematically review the use of PLS-SEM in the quality management discipline.
Jiang F., Ma L., Broyd T., Chen K., Luo H., Du M.
Automation in Construction scimago Q1 wos Q1
2022-12-01 citations by CoLab: 18 Abstract  
Building demolition caused by urban road widening projects can lead to engineering, economic, and environmental issues and should be planned at the design stage. Based on as-is BIM, this paper proposes a method to estimate the building demolition caused by urban road widening using online map data and statistics on government websites. The as-is BIM models of the existing old road and its surrounding buildings are created, and the BIM models of the newly widened road are built based on the as-is BIM models considering road components in accordance with road engineering expressions to assist building demolition estimation using clash detection. This paper presents a cost-effective building demolition estimation in urban road widening projects without field surveys. It was tested on the M4 Motorway project in London. It has been proved to be a very practical approach to facilitate urban road planning and decision making. • A workflow is developed based on as-is BIM to estimate building demolition caused by urban road widening. • Build road as-is BIM models by digital image processing, GIS data processing, and alignment fitting. • The road as-is BIM models are detachable and in accordance with expressions of engineering for further use. • Buildings' as-is BIM models along the target road can be created to reflect the impacts from the surroundings. • BIM models of roads and buildings are built from online map data and government statistics rather than field surveys.
Becker J., Cheah J., Gholamzade R., Ringle C.M., Sarstedt M.
2022-08-25 citations by CoLab: 403 Abstract  
Purpose Partial least squares structural equation modeling (PLS-SEM) has attracted much attention from both methodological and applied researchers in various disciplines – also in hospitality management research. As PLS-SEM is relatively new compared to other multivariate analysis techniques, there are still numerous open questions and uncertainties in its application. This study aims to address this important issue by offering guidance regarding its use in contexts with which researchers struggle. Design/methodology/approach The authors examine the most prominent questions and answers posed in a well-known PLS-SEM discussion forum. The authors do so by using a text analysis technique to identify the most salient topics. Findings The data analysis identifies three salient PLS-SEM topics (i.e. bootstrapping and significance testing, higher-order constructs and moderation). Research limitations/implications The results allow us to address the PLS-SEM community’s main methodological issues. The authors discuss each area separately and provide explanations and guidelines. Practical implications The guidelines on the most important PLS-SEM topics provide decision-making and application aids. In this way, the authors make a decisive contribution to clarifying ambiguities when applying the PLS-SEM method in hospitality management research and other disciplines. Originality/value There has as yet been no systematic analysis of this kind in the field of PLS-SEM; the authors, therefore, present the first research results. The findings and recommendations provide guidance for PLS-SEM applications in hospitality research and practice.
Sarstedt M., Hair J.F., Pick M., Liengaard B.D., Radomir L., Ringle C.M.
Psychology and Marketing scimago Q1 wos Q1
2022-01-27 citations by CoLab: 427 Abstract  
Partial least squares structural equation modeling (PLS-SEM) is an essential element of marketing researchers' methodological toolbox. During the last decade, the PLS-SEM field has undergone massive developments, raising the question of whether the method's users are following the most recent best practice guidelines. Extending prior research in the field, this paper presents the results of a new analysis of PLS-SEM use in marketing research, focusing on articles published between 2011 and 2020 in the top 30 marketing journals. While researchers were more aware of the when's and how's of PLS-SEM use during the period studied, we find that there continues to be some delay in the adoption of model evaluation's best practices. Based on our review results, we provide recommendations for future PLS-SEM use, offer guidelines for the method's application, and identify areas of further research interest.
Wohlin C., Runeson P.
2021-12-01 citations by CoLab: 23 Abstract  
The literature concerning research methodologies and methods has increased in software engineering in the last decade. However, there is limited guidance on selecting an appropriate research methodology for a given research study or project. Based on a selection of research methodologies suitable for software engineering research in collaboration between industry and academia, we present, discuss and compare the methodologies aiming to provide guidance on which research methodology to choose in a given situation to ensure successful industry–academia collaboration in research. Three research methodologies were chosen for two main reasons. Design Science and Action Research were selected for their usage in software engineering. We also chose a model emanating from software engineering, i.e., the Technology Transfer Model. An overview of each methodology is provided. It is followed by a discussion and an illustration concerning their use in industry–academia collaborative research. The three methodologies are then compared using a set of criteria as a basis for our guidance. The discussion and comparison of the three research methodologies revealed general similarities and distinct differences. All three research methodologies are easily mapped to the general research process describe–solve–practice, while the main driver behind the formulation of the research methodologies is different. Thus, we guide in selecting a research methodology given the primary research objective for a given research study or project in collaboration between industry and academia. We observe that the three research methodologies have different main objectives and differ in some characteristics, although still having a lot in common. We conclude that it is vital to make an informed decision concerning which research methodology to use. The presentation and comparison aim to guide selecting an appropriate research methodology when conducting research in collaboration between industry and academia.
El Hajj C., Martínez Montes G., Jawad D.
2021-10-27 citations by CoLab: 23 Abstract  
Purpose In an attempt to attain a better understanding of the research work on building information modeling (BIM) adoption, this study aims to examine the criticality of BIM adoption barriers in the Middle East and North Africa (MENA) developing countries from the lens of the sociotechnical theory. Further, the study investigates the differences in the perceptions of various constructions players (owners, contractors and designers) to BIM barriers, as well as possible discrepancies in the perception of BIM users and non-BIM users to the significance of the perceived constraints. Design/methodology/approach To reach this aim, the study starts with a systematic evaluation and a critical review of the literature on BIM barriers. A set of 22 BIM adoption limitations was drawn from the literature which was used to design the survey. To capture a broad perception, a mixed approach was used, and data were collected through an interview study and a survey involving Architecture, Engineering and Construction professionals in the MENA construction sector. The collected data were analyzed using the mean score, standard deviation and nonparametric tests. The further principal component analysis (PCA) grouped the barriers to uncover the latent factors of BIM barriers. Findings The actors ranked the barriers as follows: lack of knowledge and BIM awareness, commercial issues and investment cost, lack of skills and BIM specialist, interoperability and lack of client demand. The examination of the PCA resulted in four underlying BIM limitation factors namely: human, technological, structural and financial. The analysis of the ranking indicated that 16 of the 22 barriers are considered critical in the MENA area. The results of the Mann–Whitney test indicated that there is a statistically significant difference in perceptions of BIM users and nonuser for seven barriers, pointing out that users care most about the financial barriers; however, nonusers are mostly concerned with structural and technological barriers. However, the results of the Kruskal–Wallis test indicated that there is no statistically significant difference in the perceptions of the three categories of stakeholders in ranking all BIM barriers. Practical implications The outcomes will back policymakers and construction participants with the knowledge to develop policy propositions that can positively affect BIM adoption in the construction industry. The significance of this study lies in being one of the very first explorative investigations that comparatively and empirically explored BIM adoption barriers across the whole MENA developing countries. Originality/value While several research studies have examined BIM adoption barriers in various countries, none to the best of the authors' knowledge have attempted to study the whole MENA region as one entity, and none highlighted the impact of user's roles on their perception of adoption barriers within their community. The results contribute to the discussion of the relationship among practitioners' level of involvement in BIM projects and their perception of adoption barriers which is underrepresented in extant studies. The above can assist with prioritizing the barriers that are considered to be more significant given the characteristics of the community under study. The result revealed the value of the structural and human attributes in prioritizing BIM adoption barriers within the MENA construction industry.
Shin M., Kim H.
Applied Sciences (Switzerland) scimago Q2 wos Q2 Open Access
2021-09-27 citations by CoLab: 10 PDF Abstract  
The authors provide a holistic perspective to enhance BIM working environment for more efficient smart construction settlements. An in-depth survey with 40 questionnaires was distributed to 100 professionals in construction, design, engineering, government. Although 45% of the respondents have received a certain form of BIM education, more than 94% of the respondents have answered that there should be a formal BIM education. Both design and construction experts have reported that the biggest advantage of using BIM is in its error checking ability. It can reduce design errors and increase construction ability. More than 79% of the respondents agreed upon a proper compensation for BIM implementation. The majority of opinions have revealed that there should be an increase in construction and design fees. There are a number issues for a successful BIM application: (1) guidelines and details for BIM work and delivery; (2) more standardized BIM education; and (3) a proper compensation system for BIM work. The results show that BIM professionals are ready to adopt the consequences of using BIM, but administrative and institutional preparations are not available beforehand. There should be a higher level of regulatory concern and provision of administrative solutions for successful BIM applications.
Takyi-Annan G.E., Zhang H.
Heliyon scimago Q1 wos Q1 Open Access
2023-08-01 citations by CoLab: 5 Abstract  
Over the past 20 years, the phrase "Building Information Modelling" (BIM) has spread throughout the Architecture, Engineering and Construction (AEC) industries. BIM usage in the construction industry is vital in the revolution towards Industry 4.0 in the AEC Industry. BIM contributes to this change due to its automatization and sustainability features. However, there are growing concerns about its implementation in the developing world context. The BIM Implementation Barriers (BIMIBs) in individual countries and on a global scale have been examined in a variety of studies and works of literature, but two research questions are still open; (1) what specific BIMIBs are the AEC industries in the developing world encountering the most, and (2) what is the interrelationship between these barriers? Through a combination of expert interviews and a bibliometric analysis of published relevant empirical studies on the subject, the aim of this study is to identify these frequently occurring BIMIBs in the developing world and to determine the interrelationships between these barriers using an Interpretive Structural Modelling (ISM) approach and MICMAC analysis. The study identified the 14 BIMIBs with 'high associated cost' as the most fundamental of all. A comparison of the study's findings and a proposed 3-level barrier mitigation strategy with other studies identified the lack of governmental support for BIM implementation and research as a root cause of majority of the BIMIBs identified in the developing world. This study lays forth the knowledge base for future studies in the area of BIM implementation in the developing world.

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