This article articulates the prospect of improving megaproject execution and performance via digital project delivery. Various digitalization options, such as cloud computing, automation, artificial intelligence, information modeling, and data analytics and their recent usage in megaprojects, are critically reviewed. Prospective future developments and forthcoming challenges of digitalization in megaprojects have also been identified based on the current progress of these technologies. In terms of theory, we suggest information economics and organizational economics as a starting place to develop a research approach to artificial intelligence and megaprojects.

Data Analytics and Artificial Intelligence in the Complex Environment of Megaprojects: Implications for Practitioners and Project Organizing Theory

PurposeStakeholder assessment is based on attributes possessed by stakeholders, making the process heavily reliant on evaluating attribute weights. The present assessment methods are based on Analytical Hierarchy Process, Analytical Network Process, and pairwise comparisons that heavily rely on decision-makers’ skills and knowledge. An objective evaluation of attribute weight needs to be done to overcome this challenge.Design/methodology/approachA Multi Criteria Decision Making (MCDM) based approach, through the combined use of Criteria Importance Through Intercriteria Correlation (CRITIC) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods has been incorporated to objectively evaluate the weights of the stakeholder attributes and their ranking with a specific focus on construction megaprojects. Five stakeholder attributes and twelve commonly associated stakeholders with megaprojects were considered to achieve this.FindingsThe new model presented power, durability and legitimacy as three important stakeholder attributes, further used to determine stakeholder importance. The client, contractor and project manager were identified as the top three internal stakeholders, and customers, local community and utility service providers as three crucial external stakeholders.Research limitations/implicationsThe findings from the proposed method provide the practitioners with updated information about the attributes they need to look into when planning stakeholder involvement and management. Further, it also leads them to the established framework for the provided stakeholder ranking when planning their management strategies.Originality/valueThe use of CRITIC method allowed to address the possibility of any correlation between the attributes in their weight determination. This was one of the advantages as co-relation between the attributes during their weight determination has not been addressed in previous methods.

Stakeholder assessment in construction projects using a CRITIC-TOPSIS approach

Carrying out correctly and objectively a CBA (Cost Benefit Analysis) means planning and designing sustainable infrastructures. For the case of infrastructures, it is very important to demonstrate in the most efficient way the impacts that would result from its construction, and to show them to all the involved stakeholders. In this context, the marriage between the CBA and BIM (Building Information Modeling) becomes a powerful visualization tool for stakeholders providing them a transparent summary of the costs and benefits of the project, within the evaluation analysis of the decision-making process. CBA-BIM is the union between infrastructural and transport planning which place Stakeholder Engagement as a central planning activity aiming at reducing the subjectivity of the analyses. The motivations lying behind the integrated use of the CBA with BIM are the transparency, standardization, and automatization of the decision-making process. Indeed, from their union, there should be a decrease of the costs related to the protests of the stakeholders not involved bringing unnecessary delays in the construction works. This paper shows an application of this framework, with a BIM based design approach, to the case of the Napoli-Bari High-Speed Rail corridor, currently under construction. The BIM based procedure proposed can be easily adapted to different uses according to the objectives. This work provides a contribution to the current literature since it is one of the first which considers the integration between BIM and CBA in the infrastructural context. 

Marrying cost-benefit analysis (CBA) with building information modeling (BIM): The case study of the Napoli-Bari High Speed Rail corridor

Context: Denial-of-Service Attack countermeasure techniques (DoS A-CTs) evaluation is a Multi-criteria decision-making (MCDM) problem based on different MPSoCs of IoT platform design, performance, and design overhead. Therefore, the Fermatean by fuzzy decision opinion score method (F-FDOSM) for prioritizing the powerful countermeasure technique against Denial-of-Service (DoS) attack is the best approach because it employs the most efficient MCDM ranking technique. Nonetheless, the FDOSM method needs to weight the criteria before being submitted for the ranking process. In order to address this theoretical challenge, the Criteria-importance through inter-criteria correlation (CRITIC) technique can be applied as an effective MCDM weighting technique to offer an explicit weight for a set of criteria with no inconsistency based on the standard deviation, which uses correlation analysis to determine the relevance of each criterion. Objectives: This research proposes a Fermatean-FDOSM framework for evaluating DoS A-CTs in the context of MPSoCs-based IoT and CRITIC techniques to weight the criteria. Methods: The methodology is presented in three phases. Firstly, a proposed countermeasure techniques dataset was collected that included eighteen defense approaches (e.g., Sniffer, SeRA, and RLAN) based on thirteen criteria (e.g., size, power, latency, and effectiveness…etc.). Then, the Decision matrix (DM) was built based on an intersection of the countermeasure techniques as an alternative and MPSoC design and performance criteria. Then, the multi-criteria decision-making methods were integrated. The CRITIC method for criteria weighting was followed by the development of the Fermatean-FDOSM method for ranking. Results: (1) CRITIC weighting shows that MPSoC NoC Routing Algorithm (XY and YX) is the highest weight criterion, whereas latency (clock/cycle) is the less weight criterion. (2) The Fermatean-FDOSM-based group ranking shows that the Collision Point Router Detection (CPRD) countermeasure technique is the first-ranked alternative compared to the Secure Model Checkers (SMCs) approach. (3) The DoS A-CTs priority ranks were subjected to a systematic ranking that was confirmed by solid correlation results throughout thirteen criterion weight values. A comparison with recent studies confirmed the feasibility of the proposed framework. Conclusion: The results of this research are expected to provide a specific understanding and guide for those who want to engage in MPSoCs-based IoT and NoC communication security research with decision theory.

https://ieeexplore.ieee.org/ielx7/6287639/6514899/10001827.pdf

Evaluation Approach for Efficient Countermeasure Techniques Against Denial-of-Service Attack on MPSoC-Based IoT Using Multi-Criteria Decision-Making

PurposeCompleting construction projects within the planned schedule has widely been considered as one of the major project success factors. This study investigates the use of technologies to address delays in construction projects and aims to address three research questions (1) to identify the adopted technologies and proposed solutions in the literature, (2) to explore the reasons why the delays cannot be prevented despite disruptive technologies and (3) to determine the major strategies to prevent delays in construction projects.Design/methodology/approachIn total, 208 research articles that used innovative technologies, methods, or tools to avoid delays in construction projects were investigated by conducting a comprehensive literature review. An elaborative content analysis was performed to cover the implemented technologies and their transformation, highlighted research fields in relation to selected technologies, focused delay causes and corresponding delay mitigation strategies and emphasized project types with specific delay causes. According to the analysis results, a typological framework with appropriate technological means was proposed.FindingsThe findings revealed that several tools such as planning, imaging, geo-spatial data collection, machine learning and optimization have widely been adopted to address specific delay causes. It was also observed that strategies to address various delay causes throughout the life cycle of construction projects have been overlooked in the literature. The findings of the present research underpin the trends and technological advances to address significant delay causes.Originality/valueDespite the technological advancements in the digitalization era of Industry 4.0, many construction projects still suffer from poor schedule performance. However, the reason of this is questionable and has not been investigated thoroughly.

Exploring the adoption of technology against delays in construction projects

Building information modeling (BIM) is a technology that promotes increased levels of collaboration among teams involved in projects. This research work aims to map the advantages of BIM wi...

Investigating the Role of BIM in Stakeholder Management: Evidence from a Metro-Rail Project

Risk management is an essential process for the successful execution of the project, and it is pertinent in achieving the project objectives and leading to its successful outcome. The nature of the construction industry, which is full of uncertainty and high capital investment, makes it notably more critical to address and manage the risks promptly. The most important part of the risk management process is identifying and assessing risks. However, the traditional Probability (P)-Impact (I) matrix used in their evaluation fails to account for the uncertainties witnessed in the determination of both P and I. This paper, therefore, uses a fuzzy approach to develop a risk assessment model. Further, the results of the generated model are compared with the conventional P-I matrix to show the effectiveness of the adopted fuzzy system. The data for the model development was collected from one of the metro-rail projects through a questionnaire. Subsequently, semi-structured interviews were conducted to identify the advantages of BIM in the project. The recognized BIM advantages were then correlated with the critical project risks to present it as the process for mitigating these risks. The study findings present the use of FIS to overcome the uncertainty in the risk management process, followed by the applicability of BIM as a risk mitigation tool. Establishing the role of BIM in the risk mitigation process can help in its wider acceptance in the construction industry.

Establishing the role of BIM towards mitigating critical project risks assessed using a fuzzy inference system

Challenges and Benefits of BIM Adoption in a Metrorail Project

A continuous evaluation of the stakeholder management process can be achieved using definitive key performance indicators (KPIs). An exhaustive literature survey in this direction provided a set of 26 indicators assessed through a questionnaire survey for their possible implications on the stakeholder management process. The survey was conducted among 55 respondents with experience in using building information modeling (BIM) in mega-construction projects. The data were initially analyzed through factor analysis to establish six KPIs. Fuzzy synthetic evaluation (FSE) was used to evaluate the index values of the established KPIs to assess their importance levels. The results presented the KPIs in decreasing order of their index values: asset performance (4.27), open innovation (4.04), project O&M expenses (3.97), design process efficiency (3.95), project execution efficiency (3.90), and stakeholder concerns (3.59). The results generated a stakeholder management process assessment framework and model that provides a clear insight into using an indicator in measuring the specific stakeholder management dimension. The findings of this work can provide definite insight amongst planning managers about the stakeholder management process through the posited indicators. Further, they can adopt measures to improve the stakeholder management process in their respective projects.

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Sulakshya Gaur

Papers

Investigating the Role of BIM in Stakeholder Management: Evidence from a Metro-Rail Project

Stakeholder assessment in construction projects using a CRITIC-TOPSIS approach

Establishing the role of BIM towards mitigating critical project risks assessed using a fuzzy inference system

Challenges and Benefits of BIM Adoption in a Metrorail Project

Development of a Performance Index Model for Evaluation of BIM-Based Stakeholder Management Using Fuzzy Synthetic Evaluation