A multivariate regression approach toward prioritizing BIM adoption barriers in the Ethiopian construction industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shihunegn Alemayehu ◽  
Ali Nejat ◽  
Tewodros Ghebrab ◽  
Souparno Ghosh
Keyword(s):  
Regression Model ◽  
Construction Industry ◽  
Multivariate Regression ◽  
Information Modeling ◽  
Maturity Level ◽  
Major Barrier ◽  
Content Type ◽  
Project Complexity ◽  
Professional Attributes ◽  
The Impact

PurposeBuilding information modeling (BIM) is a process of creating an intelligent virtual model integrating project data from design to construction and operation. BIM models enhance the process of communicating the progress of construction to stakeholders and facilitate integrated project delivery, coordination and clash detection. However, barriers within the construction industry in Ethiopia has led to slow BIM adoption in the country. The aim of this paper is to identify perceived BIM barriers, provide a platform to quantify their importance and develop a regression model to link individual's personal/professional attributes to their perception of BIM barrier.Design/methodology/approachTo address the objectives of this research, an online survey was developed to collect feedback from construction professionals in Ethiopia on 20 major adoption barriers extracted from a thorough review of literature. Relative importance index and strength of consensus metric were employed to identify the significance of barriers. This was then succeeded by performing exploratory factor analysis to determine the major constructs of BIM barriers which was then used to develop a multivariate regression model linking respondents' personal attributes to their perception of BIM barrier.FindingsResults revealed the importance of project complexity and BIM maturity level in prioritizing barriers that are more relevant under various contexts. More specifically, results indicated the following study highlights: Project complexity led to higher perceived weights for lack of appropriate physical/cloud infrastructures, and a BIM standard. Higher levels of BIM maturity signified the importance of BIM internal issues such as liability, licensing and maintenance issues among other adoption barriers. Female participants tended not to consider intangibility of BIM benefits as a major barrier towards BIM adoption compared to male participants. Age of the participants turned out to be the least important factor in their prioritization of BIM perceived adoption barriers.Originality/valueWhile many research studies have explored BIM adoption barriers in various countries around the world, none to the best of the authors' knowledge have attempted to develop a model to highlight the impact of individuals' personal/professional attributes on their perception of adoption barriers within their community which can help with prioritizing the barriers that are deemed to be more important given the characteristics of the community under study. Our result indicated the importance of BIM maturity level and project complexity in prioritizing barriers associated with BIM adoption within Ethiopia's construction industry.

An overview of BIM adoption barriers in the Middle East and North Africa developing countries

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Claudette El Hajj ◽  
Germán Martínez Montes ◽  
Dima Jawad
Keyword(s):  
Developing Countries ◽  
Middle East ◽  
Construction Industry ◽  
North Africa ◽  
Research Work ◽  
Information Modeling ◽  
Financial Barriers ◽  
Content Type ◽  
Significant Difference ◽  
The Impact

PurposeIn 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/approachTo 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.FindingsThe 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 implicationsThe 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/valueWhile 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.

Risk paths in BIM adoption: empirical study of China

2018 ◽  
Vol 25 (9) ◽  
pp. 1170-1187 ◽  
Author(s):  
Xianbo Zhao ◽  
Peng Wu ◽  
Xiangyu Wang
Keyword(s):  
Risk Management ◽  
Construction Industry ◽  
Partial Least Square ◽  
Information Modeling ◽  
Equation Modeling ◽  
Clear Understanding ◽  
Content Type ◽  
Chinese Architecture ◽  
Potential Benefits ◽  
The Impact

Purpose The purpose of this paper is to model the paths of risks associated with building information modeling (BIM) adoption in the Chinese architecture, engineering and construction industry. Design/methodology/approach A total of 16 risks were identified from the literature review and grouped into nine categories. The data were collected through a questionnaire survey with 95 professionals in China. The partial least square structural equation modeling was used to analyze the data. Findings The results suggested the risk categorization was confirmed, and that 15 hypothetical risk paths were statistically significant, which formed 13 chains of risk paths. “Inadequate relevant knowledge and expertise” was the primary root risk category of all the 13 chains of risk paths. Additionally, “technological issues,” “poor information sharing and collaboration,” and “liability for data input” had direct effect on the “cost overrun with BIM,” while all the other risks indirectly influence cost via these three risk categories. Research limitations/implications Most of the respondents were designers because few clients and contractors have adopted BIM. In addition, the impact and likelihood of risks were accessed by respondents’ judgment based on their experience, which is a common problem of risk management research. As this study focuses on the Chinese architecture, engineering and construction industry, there would be geographical limitation on the findings. Practical implications This study provides practitioners with a clear understanding of the risks associated with BIM adoption and enables practitioners to take measures to mitigate the root risks and assure the potential benefits of BIM. Originality/value Although there have been studies on the risks associated with BIM adoption, most of them lacked empirical evidence and failed to examine the interactions between risks. This study is different from these prior studies, because it focuses on the interrelationships between risks and identifies the risk paths and root risks using the empirical data. Therefore, this study expands the literature relating to both BIM and risk management. Also, this study enables practitioners to take measures to mitigate the root risks and assure the potential benefits produced by BIM, thereby contributing to the practice.

An empirically verified project risk maturity model

2014 ◽  
Vol 7 (2) ◽  
pp. 263-284 ◽  
Author(s):  
Budi Hartono ◽  
Deo F.N. Wijaya ◽  
Hilya M. Arini
Keyword(s):  
Construction Industry ◽  
Convergent Validity ◽  
Discriminant Validity ◽  
Face Validity ◽  
Maturity Model ◽  
Maturity Level ◽  
Cross Sectional Survey ◽  
Project Risk ◽  
Content Type ◽  
Risk Maturity

Purpose – The purpose of this paper is to develop and to empirically verify a model of project risk management maturity (PRMM). Design/methodology/approach – Theoretical work to develop the initial model of risk maturity. Empirical study by a cross-sectional survey to the Indonesian construction industry. Findings – A new model of PRMM is developed and empirically tested. The model is valid (face validity, content validity, discriminant validity, convergent validity, and criterion validity) and reliable. Research limitations/implications – A more comprehensive, follow-up study is required to gain more insights on the actual maturity level of Indonesian construction industry. Practical implications – The model is applicable to assess the organizational maturity level which in turn could be used for improving organization performance. Originality/value – The work demonstrates a novel approach in developing models by emphasizing on the empirical verification.

Assessment of knowledge process capabilities toward project management maturity: an empirical study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Adnan Alghail ◽  
Liu Yao ◽  
Mohammed Abbas ◽  
Yahia Baashar
Keyword(s):  
Knowledge Management ◽  
Project Management ◽  
Public Universities ◽  
Equation Modeling ◽  
Success Factor ◽  
Research Model ◽  
Maturity Level ◽  
Knowledge Process ◽  
Content Type ◽  
The Impact

Purpose The reasons behind the project management failure of higher education institutions (HEIs) have been researched for the past few years. One of the reasons is the lack of tools to integrate their knowledge process capabilities (KPC) with their project management (PM) to measure maturity by assessing these capabilities. Various project management maturity (PMM) models exist. Yet, there is a limited number of empirical studies that support the four integrations of KPC and PMM. Therefore, this study aims to propose a new heretical model, namely, KPC-knowledge management (KM) and evaluates a research model that includes the four KPC as an antecedent to PMM. Design/methodology/approach The suggested research model is assessed by using partial least squares structural equation modeling. Furthermore, the study's hypotheses were examined based on a sample of 352 respondents from the project management departments in 10 public universities in Yemen. Findings Analysis revealed that the derived PMM status could be benchmarked with the project management maturity model. Also, the study found that integrating the KPC into PM enables the institutions to perform critical tasks and value chain activities and enhance the PM maturity level as well. In contrast, if one of the capabilities does not positively impact PMM, it affects the maturity level of the entire project. Research limitations/implications The findings are obtained concerning data collected from public universities and represent the Yemeni context, limiting the generalization on a different geographical area. Also, this proposed model can be evaluated in a practical way like conducting a focus group, a set of interviews with specialists, a case study or action research. The qualitative research will help academics to validate our proposal for future research purposes. Practical implications The proposed approach may be adapted to the characteristics of organizations involved in projects as external performers (project-based organizations) and not just the HEIs projects. This study provides managers and policymakers with insights into assessing PMM and improving their organizational effectiveness when deciding which KPCs to focus on in the future. Social implications This study contributes to the current PM awareness in Yemen and facilitates its success using the knowledge processes capabilities in Yemen's HEIs. It encourages organizations to take this opportunity to revive the projects and achieve a maximum level of maturity. Originality/value This study provides new insights into two domains through the link between knowledge management and PM. To the best of the authors' knowledge, this paper is among the first to empirically study the impact of the four KPC toward PMM. It enriches the theoretical perspective of PM. Also, it contributes to the literature on the success factor of KPC, which can be considered to improve organizational performance.

Comparing predictive performance of general regression neural network (GRNN) and hedonic regression model for factors affecting housing prices in “Pune-India”

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abhijat Arun Abhyankar ◽  
Harish Kumar Singla
Keyword(s):  
Neural Network ◽  
Regression Model ◽  
Multivariate Regression ◽  
Housing Prices ◽  
Predictive Performance ◽  
General Regression Neural Network ◽  
Multivariate Regression Model ◽  
Data Set ◽  
Content Type ◽  
General Regression

Purpose The purpose of this study is to compare the predictive performance of the hedonic multivariate regression model with the probabilistic neural network (PNN)-based general regression neural network (GRNN) model of housing prices in “Pune-India.” Design/methodology/approach Data on 211 properties across “Pune city-India” is collected. The price per square feet is considered as a dependent variable whereas distances from important landmarks such as railway station, fort, university, airport, hospital, temple, parks, solid waste site and stadium are considered as independent variables along with a dummy for amenities. The data is analyzed using a hedonic type multivariate regression model and GRNN. The GRNN divides the entire data set into two sets, namely, training set and testing set and establishes a functional relationship between the dependent and target variables based on the probability density function of the training data (Alomair and Garrouch, 2016). Findings While comparing the performance of the hedonic multivariate regression model and PNN-based GRNN, the study finds that the output variable (i.e. price) has been accurately predicted by the GRNN model. All the 42 observations of the testing set are correctly classified giving an accuracy rate of 100%. According to Cortez (2015), a value close to 100% indicates that the model can correctly classify the test data set. Further, the root mean square error (RMSE) value for the final testing for the GRNN model is 0.089 compared to 0.146 for the hedonic multivariate regression model. A lesser value of RMSE indicates that the model contains smaller errors and is a better fit. Therefore, it is concluded that GRNN is a better model to predict the housing price functions. The distance from the solid waste site has the highest degree of variable senstivity impact on the housing prices (22.59%) followed by distance from university (17.78%) and fort (17.73%). Research limitations/implications The study being a “case” is restricted to a particular geographic location hence, the findings of the study cannot be generalized. Further, as the objective of the study is restricted to just to compare the predictive performance of two models, it is felt appropriate to restrict the scope of work by focusing only on “location specific hedonic factors,” as determinants of housing prices. Practical implications The study opens up a new dimension for scholars working in the field of housing prices/valuation. Authors do not rule out the use of traditional statistical techniques such as ordinary least square regression but strongly recommend that it is high time scholars use advanced statistical methods to develop the domain. The application of GRNN, artificial intelligence or other techniques such as auto regressive integrated moving average and vector auto regression modeling helps analyze the data in a much more sophisticated manner and help come up with more robust and conclusive evidence. Originality/value To the best of the author’s knowledge, it is the first case study that compares the predictive performance of the hedonic multivariate regression model with the PNN-based GRNN model for housing prices in India.

Exploring the impact of abusive supervision on employee' voice behavior in Chinese construction industry: a moderated mediation analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Naseer Abbas Khan ◽  
Ali Nawaz Khan
Keyword(s):  
Construction Industry ◽  
Work Engagement ◽  
Self Efficacy ◽  
Abusive Supervision ◽  
Mediating Effect ◽  
Psychological Climate ◽  
Employee Voice ◽  
Voice Behavior ◽  
Content Type ◽  
The Impact

PurposeThe purpose of this study is to explore the impact of abusive supervision on employees' voice in China's construction industry. Moreover, the authors explore the mediating role of ethics-related self-efficacy and work engagement and the moderating influence of psychological climate in explaining the association between abusive supervision and employee voice behavior.Design/methodology/approachThis study used data in pairs collected from 402 supervisors and employees of construction companies in Anhui, China. In this study, the authors used the time-lag approach to collect data in three-time waves from different respondents. A structural equation modeling (SEM) approach was applied to test the hypothesized model.FindingsThe results of this study indicate that there is a significant association between abusive supervision and employee voice. Moreover, the results indicated that work engagement mediated the association between abusive supervision and employees' voice. In contrast, self-efficacy did not mediate the link between abusive supervision and employee voice. Furthermore, results also show that the contingent effect of psychological climate significantly influences the mediating effect of work engagement.Originality/valueThis study also has implications for the construction industry, allowing managers to create a favorable working atmosphere in which employees can reinforce their voices at work.

scholarly journals Integrated model for the stressors, stress, stress-coping behaviour of construction project managers in the UK

2018 ◽  
Vol 11 (3) ◽  
pp. 761-782 ◽  
Author(s):  
Shamil George Naoum ◽  
Carlos Herrero ◽  
Charles Egbu ◽  
Daniel Fong
Keyword(s):  
Construction Industry ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Construction Project ◽  
Project Managers ◽  
Stress Coping ◽  
Content Type ◽  
Equation Modelling ◽  
And Performance ◽  
The Impact

Purpose It is axiomatic that construction is a fast-paced and competitive industry, which goes hand in hand with many construction professionals suffering from stress including construction project managers (C-PMs). The role of C-PMs is crucial to achieving project success as they are responsible for planning the project, organising human resources, controlling operations and the budget, and forecasting probable difficulties. The purpose of this paper is to investigate the causal relationships between stressors, stresses, stress-coping behaviours and their impact on the performance of C-PMs. Design/methodology/approach To investigate the relationships between stress and performance among C-PMs, a questionnaire was designed based on the extensive literature, and was sent to 150 C-PMs who had amassed at least five years’ direct working experience in the construction industry. A total of 44 completed questionnaires were returned. Correlation analysis and structural equation modelling were employed to understand the integrated relationships between these factors. Based on the data collected and analysis of the results, an integrated structural equation model of the stresses and performances of C-PMs was developed using AMOS version 22.0. Findings The results of structural equation modelling reveal the following: burnout is the type of stress that has the highest impact on the performance of C-PMs, being detrimental to their interpersonal performance (IPP) and positive for their organisational performance (OP), whereas physiological stress worsens the task performance of C-PMs and objective stress improves their IPP. The most active stressor towards the performance of C-PMs is “workgroup cooperation”, which has an impact on the IPP in a positive way but is detrimental to the OP. Career-developing environment, poor organisational structure and role conflict affect both stress and performance together. Originality/value This study provides a comprehensive investigation into the impact of various types of stress on the performances of C-PMs. The result constitutes a significant step towards the stress management of C-PMs in the dynamic and stressful construction industry.

Analysing BIM implementation in the Egyptian construction industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamed Marzouk ◽  
Heba Elsaay ◽  
Ayman Ahmed Ezzat Othman
Keyword(s):  
Construction Industry ◽  
Design Methodology ◽  
Information Modeling ◽  
Survey Questionnaire ◽  
Review Of Literature ◽  
Strategy Formulation ◽  
Content Type ◽  
Practical Strategy ◽  
Building Information ◽  
International Strategies

PurposeThis 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.Design/methodology/approachThe 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.FindingsThe research presented recommendations to assist policymakers in Egypt to facilitate BIM implementation.Originality/valueAlthough 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.

BIM in the Saudi Arabian construction industry: state of the art, benefit and barriers

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdullah Al-Yami ◽  
Muizz O. Sanni-Anibire
Keyword(s):  
Saudi Arabia ◽  
Construction Industry ◽  
Construction Projects ◽  
State Of The Art ◽  
Pilot Project ◽  
Lessons Learned ◽  
Information Modeling ◽  
Perceived Benefits ◽  
Content Type

Purpose Although there is a boom in the construction industry in the Kingdom of Saudi Arabia (KSA), it is yet to fully adopt building information modeling (BIM), which has received a lot of attention in the US, UK and Australian construction industries. Thus, the purpose of this paper is to provide the current state of the art in BIM implementation in Saudi Arabia, as well as perceived benefits and barriers through a case study. Design/methodology/approach A broad overview of BIM, the construction industry in KSA and the research and implementation of BIM in KSA was presented in this study. The research further established the perceived benefits and barriers of BIM implementation through a case study of a local AEC firm. A questionnaire survey was used to obtain lessons learned from the BIM team of the pilot project and was further analyzed using the RII approach. Findings The study’s findings include the lack of policy initiatives in KSA to enforce BIM in the construction industry, as well as the lack of sufficient research in the domain of BIM in KSA. Furthermore, the case study also revealed that the most important benefit of BIM adoption is “detection of inter-disciplinary conflicts in the drawings to reduce error, maintain design intent, control quality and speed up communication,” whereas the most important barrier is “the need for re-engineering many construction projects for successful transition towards BIM.” Originality/value The study provides a background for enhanced research towards the implementation of BIM in Saudi Arabia and also demonstrates the potential benefits and barriers in BIM implementation.

A hybrid framework to model factors affecting construction labour productivity

2019 ◽  
Vol 24 (3) ◽  
pp. 630-654 ◽  
Author(s):  
Majid Parchami Jalal ◽  
Shahab Shoar
Keyword(s):  
Construction Industry ◽  
Labour Productivity ◽  
Content Type ◽  
Factors Affecting ◽  
Schedule Delay ◽  
Factors Influencing ◽  
Hybrid Framework ◽  
Novel Method ◽  
The Cost ◽  
The Impact

Purpose This paper aims to model different causal relations among factors interacting with labour productivity in order to recognize the most important factors influencing and influenced by it. Design/methodology/approach Top 60 factors affecting labour productivity were determined and grouped into 5 major groups by reviewing previous research and interviewing relevant experts. The interactions of factors were modelled using system dynamics (SD) approach. The resulting causal loop diagrams obtained from SD were then applied for identifying the most crucial factors influencing and influenced by labour productivity through the decision-making trial and evaluation laboratory (DEMATEL) method. The impact of factors on each other was finally determined based on the opinions of 63 experts selected from the Iranian construction industry. Findings The results indicated that factors such as fatigue, lack of labour motivation and lack of skill are the most influencing, and factors such as schedule delay and inflation in the cost of execution are the most influenced by labour productivity. In the end, a set of recommendations to improve construction labour productivity was also presented. Originality/value The main contribution of the study is proposing a novel method which is capable of providing insights into how causes and effects of construction labour productivity are interrelated. Furthermore, the proposed method makes this study distinct from previous research in the light of prioritizing factors and offering recommendations according to the interrelationships among factors.

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