Analyzing project data in BIM with descriptive analytics to improve project performance

2019 ◽  
Vol 9 (4) ◽  
pp. 476-488
Author(s):  
Mohamed Marzouk ◽  
Mohamed Enaba
Keyword(s):  
Data Analytics ◽  
Construction Project ◽  
Project Performance ◽  
Information Modeling ◽  
Descriptive Data ◽  
Raw Data ◽  
Content Type ◽  
Research Hypothesis ◽  
Hidden Patterns ◽  
Project Data

Purpose The purpose of this paper is to expand the benefits of building information modeling (BIM) to include data analytics to analyze construction project performance. BIM is a great tool which improves communication and information flow between construction project parties. This research aims to integrate different types of data within the BIM environment, then, to perform descriptive data analytics. Data analytics helps in identifying hidden patterns and detecting relationships between different attributes in the database. Design/methodology/approach This research is considered to be an inductive research that starts with an observation of integrating BIM and descriptive data analytics. Thus, the project’s correspondence, daily progress reports and inspection requests are integrated within the project 5D BIM model. Subsequently, data mining comprising association analysis, clustering and trend analysis is performed. The research hypothesis is that descriptive data analytics and BIM have a great leverage to analyze construction project performance. Finally, a case study for a construction project is carried out to test the research hypothesis. Findings The research finds that integrating BIM and descriptive data analytics helps in improving project communication performance, in terms of integrating project data in a structured format, efficiently retrieving useful information from project raw data and visualizing analytics results within the BIM environment. Originality/value The research develops a dynamic model that helps in detecting hidden patterns and different progress attributes from construction project raw data.

Using issue logs to improve construction project performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amirali Shalwani ◽  
Brian Lines
Keyword(s):  
Best Practice ◽  
Management Practices ◽  
Construction Project ◽  
Pairwise Comparison ◽  
Performance Outcomes ◽  
Project Performance ◽  
Project Teams ◽  
Project Schedule ◽  
Building Projects ◽  
Content Type

PurposeThe Project Management Body of Knowledge recommends the use of issue logs as a best practice to minimize the potential project cost and schedule growth. Although the broader topic of project control has been widely studied in the construction literature, the specific application of issue logs has remained relatively understudied. This study aims to analyze the extent and consistency with which construction teams utilize issue logs and the corresponding project performance outcomes.Design/methodology/approachA dataset of 5,635 individual issues was gathered from the final issue logs of 881 small building projects delivered via the design–bid–build method. Differences between groups were determined using the Kruskal–Wallis H test with post hoc testing via the Mann–Whitney U test with pairwise comparison.FindingsThe results showed that, on average, project teams who used issue logs to a greater extent achieved a 3.1 to 4.3% reduction in cost growth and a 5.3 to 12.3% reduction in schedule growth. This result shows that issue logs can be used to improve construction project performance in the areas of cost and schedule.Originality/valueThis result provides a contribution to practitioners, wherein project teams should be encouraged to establish their issue management practices early in the project schedule to encourage greater issue log usage for the remainder of the project.

Modeling and performance evaluation of PPP projects utilizing IFC extension and enhanced matter-element method

2020 ◽  
Vol 27 (8) ◽  
pp. 1763-1794
Author(s):  
Zhao Xu ◽  
Xiang Wang ◽  
Ya Xiao ◽  
Jingfeng Yuan
Keyword(s):  
Performance Evaluation ◽  
Evaluation Model ◽  
Indicator System ◽  
Project Performance ◽  
Information Modeling ◽  
Content Type ◽  
Evaluation Indicator ◽  
Performance Evaluation Model ◽  
Element Method

PurposeThere is often a lack of accurate performance evaluation in Public–Private Partnership (PPP) projects. It is a challenging issue to effectively use Building Information Modeling (BIM) for PPP project performance evaluation. The objective of this study is to develop a PPP project performance evaluation model based on Industry Foundation Classes (IFC) and an enhanced matter-element method to more precisely evaluate PPP project performance.Design/methodology/approachThe performance evaluation of PPP projects in the construction and operation period was explored. The PPP project performance evaluation indicator system was first established based on a literature review and PPP project practice. Then, the evaluation indicator information was expressed through IFC mapping and extension. After that, an IFC-based PPP project performance evaluation model was developed, and a case study was provided to validate the use of the proposed performance evaluation model.FindingsThe results of the case study show that the proposed approach can accurately and efficiently evaluate PPP projects, and it could favorably contribute to performance evaluation in PPP projects.Research limitations/implicationsThis study only concerns the performance evaluation of one type of PPP project. Further research is required to study different types of PPP projects; the model needs to be more efficient and intelligent.Originality/valueThe performance evaluation of PPP projects utilizing IFC extension and the enhanced matter-element method provides guidance for the government and private parties to accurately and efficiently evaluate PPP project performance.

Exploring influential factors leading to the poor performance of public construction project in Ethiopia using structural equation modelling

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Benti Gadisa ◽  
Hong Zhou
Keyword(s):  
Construction Industry ◽  
Construction Projects ◽  
Construction Project ◽  
Poor Performance ◽  
Project Performance ◽  
Influential Factors ◽  
Project Design ◽  
Content Type ◽  
Factors Affecting ◽  
Public Construction

PurposeIt is well recognized that the construction industry is characterised by inefficient and ineffective service delivery due to various causative factors. Thus this study aims to examine the influential factors affecting public construction project performance in Ethiopia to improve the industry's service delivery.Design/methodology/approachFrom the extensive literature reviewed, 58 potential factors affecting construction project performance have been compiled. Based on the evidence accumulated, the conceptual model of this paper has been developed. By using survey questionnaires, valuable data were collected from the construction industry professionals in Ethiopia; analysed and interpreted with the use of both SPSS and AMOS software.FindingsIt is concluded that failure factors related to the “performance” of the contractor, the “capability” of the owner, the “project design-procurement process,” and project contract management can significantly contribute to the poor performance of public construction projects in Ethiopia. Ten key factors include inadequate contractor capacity, weak project site management and supervision, weak project management skills and capabilities of the owner, additional work orders, delayed payment, lack of comprehensive project plans between parties and incomplete project design, rising material prices, ineffective project schedules, and cost management, rising market prices and devaluation of the currency.Research limitations/implicationsThe scope of this study confined to public projects in Ethiopia. It suggests that further research needs to consider public and private construction from a comprehensive perspective in the developing countries.Practical implicationsIt provides practitioners with information and guidance on the factors that affect the performance of construction projects.Originality/valueIt provides inclusive evidence related to many factors that affect the performance of public construction projects.

Identification of knowledge assets in construction projects and their impact on project performance

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Harish Kumar Singla ◽  
Abhishek Shrivas ◽  
Ashu Sharma
Keyword(s):  
Human Capital ◽  
Construction Projects ◽  
Conceptual Models ◽  
Construction Project ◽  
Project Performance ◽  
Relational Capital ◽  
Knowledge Assets ◽  
Content Type ◽  
Structural Capital ◽  
Building Process

PurposeThe previous researchers have identified human capital, relational capital and structural capital as knowledge assets in knowledge-driven organizations. The current study is an attempt to identify and validate the knowledge assets in construction projects. The study also aims to understand the interrelation of these knowledge assets and their impact on project performance through the development of a conceptual model.Design/methodology/approachThe study is divided into three phases. In phase I, the constructs of “knowledge assets” and “project performance” in construction projects are identified using the exploratory factor analysis. In phase II, these constructs are validated using confirmatory factor analysis. Two separate surveys are conducted for phase I and phase II, respectively. In phase III, the authors develop two conceptual models based on the literature review and two construction project cases in India. The models examine the inter-relationship of knowledge assets and measures their impact on project performance. The models are empirically tested using the responses of the second survey through a structural equation model.FindingsThe study extracts four knowledge asset constructs and one performance construct which are named human capital, structural capital, relational capital, human capital capacity building process and project performance, respectively. The study finds that both the conceptual models are statistically excellent fit. The results of the models suggest that relational capital and structural capital have a direct positive impact on project performance, whereas human capital has an indirect effect on project performance mediated through relational capital, structural capital and human capital capacity building process.Research limitations/implicationsThe items for knowledge asset constructs and measurement of project performance are moderated by experts, working in construction projects in India, hence the process may contain subjective bias. Further, two construction project cases were selected by authors in the study that originate from India.Practical implicationsThe study has implications for the project executors (contractors) as well as for project owners. The contractors must maintain healthy relations with all the stakeholders in a project like a client, suppliers, architects, etc. They must develop systems that are people-friendly to avoid the problems of time and cost overruns in projects. The owners must also maintain healthy relations. This can result in a win-win situation for both parties and can lead to superior project performance.Originality/valueThe study develops and empirically tests two conceptual models that explain the interrelations of knowledge assets and how it benefits the construction project performance in India. Therefore, the generalization of the results is difficult; however, the results can be replicated in projects with similar settings.

Planning, management and administration of HS contents with BIM and VR in construction: an implementation protocol

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vito Getuli ◽  
Pietro Capone ◽  
Alessandro Bruttini
Keyword(s):  
Management Practices ◽  
Construction Project ◽  
Building Design ◽  
Construction Safety ◽  
Safety Training ◽  
Information Modeling ◽  
Construction Site ◽  
Content Type ◽  
Vr Training ◽  
Training Protocol

PurposeBuilding construction is considered a complex, dynamic and highly hazardous process, which embraces many factors that are potentially dangerous to workers. Many studies proved that the improvement of preventive and proactive measures – dynamically included in the building design, planning and construction – could reduce site accidents as well as increase the site productivity. In this context, process management models and information visualization techniques such as building information modeling (BIM) and virtual reality (VR) seem to be devoted to strongly contribute to the advancement of the current safety management practices. For these reasons, the presented contribution is based on the assumption that a more nuanced approach for construction worker's safety training is warranted and the authors propose a safety training protocol based on BIM-enabled VR activity simulations.Design/methodology/approachThe methodology comprised a safety training protocol based on BIM-enabled VR activity simulations. The protocol addresses three methodological issues: (1) Planning in terms of training typologies and related health and safety contents to be implemented in the VR construction site scenarios; (2) Management regarding the solution to integrate BIM and game technologies to deliver VR training experiences; (3) Administration in terms of definition of standardized rules to define a safety training schedule in a given construction project.FindingsThis work contributes to provide a standardized protocol for a viable integration of BIM and VR technologies for construction safety training in real projects.Practical implicationsThe VR training protocol was applied to a construction project based in Italy that served as case study for the development of the training sessions' contents and their implementation. This case demonstrated the feasibility of the protocol's implementation and pointed out the drawbacks and limitations on which further efforts need to be spent in order to take the proposed protocol from a prototypical stage to a maturity for its larger-scale adoption from the practitioners involved in construction safety training.Originality/valueThe research gives a contribution to reduce the currently existing knowledge gap regarding how BIM and VR can be simultaneously integrated in real projects for construction safety training by using standardized rules to be extensively reproduced in different construction projects. It uses a customized toolkit with a mobile smartphone solution to administer Safety Training Scenarios which increases its portability in construction site compared to PC-based VR solutions.

The impact of interpersonal conflict on construction project performance

2015 ◽  
Vol 26 (4) ◽  
pp. 479-498 ◽  
Author(s):  
Lianying Zhang ◽  
Xiaoyan Huo
Keyword(s):  
Interpersonal Conflict ◽  
Negative Emotions ◽  
Construction Project ◽  
Mainland China ◽  
Political Skill ◽  
Project Performance ◽  
Empirical Literature ◽  
Content Type ◽  
The Impact ◽  
The Relationship

Purpose – The purpose of this paper is to examine the relationship between interpersonal conflict and construction project performance. The authors test the proposition that this relationship is mediated by negative emotions and moderated by political skill. Design/methodology/approach – This study used a structured questionnaire survey and gathered 266 completed data from 45 construction project teams in mainland China. To test the hypotheses, bootstrapping procedures were used. Findings – The results show that interpersonal conflict and negative emotions all have inverse relationships with project performance. Additionally, negative emotions mediated the relationship between interpersonal conflict and project performance, and this indirect relationship will be mitigated when team members have a high level of political skill. Research limitations/implications – These findings indicate that interpersonal conflict has a detrimental influence on project performance and should attract broad attention for future empirical literature. Furthermore, political skill is an effective contingent factor to suppress the detrimental influence of interpersonal conflict. Practical implications – The findings imply that managers should highlight the importance of interpersonal conflict in construction projects. Originality/value – This paper addresses a moderated mediation model to examine the relationship among interpersonal conflict, negative emotions and construction project performance, and it takes into account the moderating role of political skill. The paper also offers practical assistance to construction project managers in managing interpersonal conflict.

The effects of cost-based contractor selection on construction project performance

2015 ◽  
Vol 20 (3) ◽  
pp. 235-251 ◽  
Author(s):  
Olugbenga Jide Olaniran
Keyword(s):  
Construction Projects ◽  
Construction Project ◽  
Poor Performance ◽  
Project Performance ◽  
The Body ◽  
Contractor Selection ◽  
Content Type ◽  
Body Of Knowledge ◽  
The Impact ◽  
Practical Implications

Purpose – This paper aims to present the outcome of a study conducted on the impact that cost-based contractor selection (CBCS) might have on construction project performance. Several criteria are normally used to select construction contractors, competitiveness of the quoted prices of the prospective contractors is one such important criterion. However, choosing contractors solely on the basis of the quoted price may cause poor performance in the construction project. Design/methodology/approach – A quantitative approach was adopted. A critical review of the literature was conducted to develop 50 survey questions relating to the problems that CBCS might have on construction project performance. Findings – Analysis of close data obtained from the survey of construction experts showed the nature of project performance problems associated with the CBCS to be project time delays and non-compliance with construction standards. The major reason they occurred was found to be the reduced profit margin for contractors. Research limitations/implications – The research sample size is small and restricted to construction professionals in Brunei. Practical implications – The study findings present updated information to construction professionals about the inherent impacts of choosing contractors based on cost. Furthermore, this study enhances the approach of selecting contractors within the construction industry. Originality/value – The study made strong and unique arguments about the problems associated with choosing construction contractors based on cost. This study contributes to the body of knowledge relevant to the management of construction projects.

Mediating effect of big data analytics on project performance of small and medium enterprises

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sachin K. Mangla ◽  
Rakesh Raut ◽  
Vaibhav S. Narwane ◽  
Zuopeng (Justin) Zhang ◽  
Pragati priyadarshinee
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Project Performance ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Content Type ◽  
Operational Capabilities ◽  
Green Purchasing

PurposeThis study aims to investigate the mediating role of “Big Data Analytics” played between “Project Performance” and nine factors including top management, project knowledge management focus on sustainability, green purchasing, environmental technologies, social responsibility, project operational capabilities, project complexity, collaboration and explorative learning, and project success.Design/methodology/approachA sample of 321 responses from 106 Indian manufacturing small and medium-scaled enterprises (SMEs) was collected. Data were analyzed using empirical analysis through structural equation modeling.FindingsThe result shows that project knowledge management, green purchasing and project operational capabilities require the mediating support of big data analytics. The adoption of big data analytics has a positive influence on project performance in the manufacturing sector.Practical implicationsThis study is useful to SMEs managers, practitioners and government policymakers to develop an understanding of big data analytics, eliminate challenges in the adoption of big data, and formulate strategies to handle projects efficiently in SMEs in the context of Indian manufacturing.Originality/valueFor the first time, big data for manufacturing firms handing innovative projects was discussed in the Indian SME context.

scholarly journals Reality Capture of Buildings Using 3D Laser Scanners

CivilEng ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 214-235
Author(s):  
Avar Almukhtar ◽  
Zaid O. Saeed ◽  
Henry Abanda ◽  
Joseph H.M. Tah
Keyword(s):  
Point Cloud ◽  
Laser Scanning ◽  
Construction Project ◽  
Data File ◽  
Information Modeling ◽  
Point Cloud Data ◽  
Cloud Data ◽  
Laser Scanners ◽  
Project Data

The urgent need to improve performance in the construction industry has led to the adoption of many innovative technologies. 3D laser scanners are amongst the leading technologies being used to capture and process assets or construction project data for use in various applications. Due to its nascent nature, many questions are still unanswered about 3D laser scanning, which in turn contribute to the slow adaptation of the technology. Some of these include the role of 3D laser scanners in capturing and processing raw construction project data. How accurate are the 3D laser scanner or point cloud data? How does laser scanning fit with other wider emerging technologies such as building information modeling (BIM)? This study adopts a proof-of-concept approach, which in addition to answering the aforementioned questions, illustrates the application of the technology in practice. The study finds that the quality of the data, commonly referred to as point cloud data, is still a major issue as it depends on the distance between the target object and 3D laser scanner’s station. Additionally, the quality of the data is still very dependent on data file sizes and the computational power of the processing machine. Lastly, the connection between laser scanning and BIM approaches is still weak as what can be done with a point cloud data model in a BIM environment is still very limited. The aforementioned findings reinforce existing views on the use of 3D laser scanners in capturing and processing construction project data.

Understanding the effects of social media use on construction project performance: a project manager's perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guofeng Ma ◽  
Shan Jiang ◽  
Ding Wang
Keyword(s):  
Social Media ◽  
Knowledge Acquisition ◽  
Structural Equation ◽  
Media Use ◽  
Construction Project ◽  
Project Performance ◽  
Project Managers ◽  
Equation Modeling ◽  
Social Media Use ◽  
Content Type

PurposeAlthough social media has been increasingly applied and valued in the construction industry, there has been little evidence revealing the influence mechanism of social media use in the construction context. In this way, this paper aims to explore how different purposes of social media use affect project performance from a project manager's perspective.Design/methodology/approachDrawing on the mechanism–outcome–performance framework, this paper developed a research model to figure out the mechanism through which work-oriented and socialization-oriented social media use influences construction project performance. The empirical data were collected from a survey of 249 construction project managers, and the structural equation modeling technique was applied to test the proposed model.FindingsResults indicate that both work-oriented and socialization-oriented social media use promote knowledge acquisition and project social capital, which both further positively impact the project performance. Additionally, the negative moderating role of information overload is identified on the relationship between social media use and knowledge acquisition.Originality/valueThis study fulfills the need for an in-depth investigation of social media use on construction project performance, contributing to the project management and social media literature. Furthermore, this study provides recommendations for project managers to advance social media applications in the construction domain.

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