Engineering Construction & Architectural Management

Arabpour Roghabadi, Mohammadjavad; Moselhi, Osama

2021 Engineering Construction & Architectural Management

doi: 10.1108/ecam-10-2019-0590

The purpose of this paper is to identify optimum crew formations at unit execution level of repetitive projects that minimize project duration, project cost, crew work interruptions and interruption costs, simultaneously.Design/methodology/approachThe model consists of four modules. The first module quantifies uncertainties associated with the crew productivity rate and quantity of work using the fuzzy set theory. The second module identifies feasible boundaries for activity relaxation. The third module computes direct cost, indirect cost and interruption costs, including idle crew cost as well as mobilization and demobilization costs. The fourth module identifies near-optimum crew formation using a newly developed multi-objective optimization model.FindingsThe developed model was able to provide improvements of 0.2, 16.86 and 12.98% for minimization of project cost, crew work interruptions and interruption costs from US$1,505,960, 8.3 days and US$8,300, as recently reported in the literature, to US$1,502,979, 6.9 days and US$7,222, respectively, without impacting the optimized project duration.Originality/valueThe novelty of this paper lies in its activity-relaxation free float that considers the effect of postponing early finish dates of repetitive activities on crew work interruptions. The introduced new float allows for calculating the required crew productivity rate that minimizes crew work interruptions without delaying successor activities and without impacting the optimized project duration. It safeguards against assignment of unnecessary costly resources.

Liu, Hui; Skibniewski, Miroslaw J.; Ju, Qianqian; Li, Junjie; Jiang, Hongbing

2021 Engineering Construction & Architectural Management

doi: 10.1108/ecam-03-2020-0181

This study aims to explore the innovative capabilities of building information modeling (BIM) in construction projects. The objectives are to construct an inclusive conceptual framework of BIM-enabled construction innovation, identify the status and trends of innovation-related research in BIM publications, synthesize research pertaining to BIM-enabled construction innovation and discover core research requirements in the related body of knowledge.Design/methodology/approachThis study proposes a comprehensive theoretical framework, named innovation pyramid, comprising context, actor, artifact, process, structure and innovative task for exploring and analyzing the innovative capability of BIM in construction projects. Accordingly, mixed methods were used to perform a systematic review of research on the topic of BIM-enabled construction innovation.FindingsThe findings reveal that BIM innovation-related articles have predominantly considered BIM as an innovation from a technological standpoint, while the innovative capabilities of BIM have remained under-researched with a fragmented research focus. Fertile grounds for research have emerged and call for research pertaining to entities of “structure” and “innovative task” as well as interaction, interrelations and mutually adjusting effect among the entities.Practical implicationsThe framework proposed may be useful for subsequent research design and for assisting project management practitioners in the use of BIM to achieve innovation more efficiently.Originality/valueThis research provides an insight into the innovative capabilities of BIM based on the BIM–collaboration–construction innovation logic chain. It contributes to the body of knowledge by devising an inclusive conceptual framework of BIM-enabled construction innovation, synthesizing the state of the art and exposing the research needs in this area.

Cong, Xuhui; Wang, Liang; Ma, Li; Skibnewski, M.

2021 Engineering Construction & Architectural Management

doi: 10.1108/ecam-12-2019-0709

This study aims to explore the critical influencing factors that lead to the site selection failure of waste-to-energy (WtE) projects in China under the influence of the “Not In My Back Yard” (NIMBY) effect, which can provide references to improve the decision-making process of similar projects in the future.Design/methodology/approachThe fuzzy decision-making trial and evaluation laboratory (DEMATEL) method was used to propose an analytical framework for exploring the critical influencing factors affecting the site selection failure of WtE projects. The causal relationship between different influencing factors is finally determined on the basis of the opinions of 12 experts from universities, government departments, consulting units, planning and design units, construction units and WtE enterprises.FindingsResults showed that six crucial factors resulted in the site selection failure of WtE projects from the NIMBY effect perspective: “Insufficient public participation,” “Near the place of residence,” “Nonstandard government decision-making processes,” “Low information disclosure,” “Destroys the surrounding environment,” and “Imperfect compensation scheme.”Originality/valueResults can determine the priorities and causal relationships among the various influencing factors. The decision-making optimization suggestions can provide reference for decision- makers, thereby possibly promoting the scientific and standardization of site selection decision process.

Liu, Jiawei; Ma, Guanghong

2021 Engineering Construction & Architectural Management

doi: 10.1108/ecam-03-2020-0163

The high uncertainty of technological innovation in megaprojects brings great challenges to the R&D institution and also acts as a trigger for moral hazard. The incentive and supervision are effective means to improve the performance of innovation. The purpose of this paper is to propose appropriate incentive and supervision mechanisms to reduce information asymmetry and improve the efficiency of incentives. Suggestions on technological innovation are put forward to megaprojects management.Design/methodology/approachAccording to the principal-agent theory, the research develops incentive models under three states, i.e. information symmetry, information asymmetry and information asymmetry based on supervision mechanism. The Bayesian theory is employed to prove the effectiveness of the novel supervision method based on risk assessment.FindingsThe results indicate that under the information asymmetry, the incentive intensity is positively correlated with the social benefits coefficient, and negatively correlated with the patent benefits coefficient. The R&D effort and the owner's incentive intensity decline with the increase of information asymmetry. The supervision of risks can effectively reduce the degree of information asymmetry, and the higher the uncertainty of innovations, the more significant the effect of supervision is. As the supervision intensity increases, the incentive intensity, the R&D effort and the innovation output will increase. In addition, the R&D institutions with high innovation capability, low unit cost of R&D and low risk-aversion are more willing to make efforts to innovate.Originality/valueThis study fills the research gap on incentive and supervision of technological innovation in megaprojects. The externality of innovation benefits is considered in the model. The traditional incentive model is extended through the introduction of supervision. Furthermore, a novel supervision method based on risk assessment is proposed. The results validate the importance of risk management in technological innovation and provide a new insight for project management.

Hassan, Abbas; El-Rayes, Khaled; Attalla, Mohamed

2021 Engineering Construction & Architectural Management

doi: 10.1108/ecam-05-2020-0304

This paper presents the development of a novel model for optimizing the scheduling of crew deployments in repetitive construction projects while considering uncertainty in crew production rates.Design/methodology/approachThe model computations are performed in two modules: (1) simulation module that integrates Monte Carlo simulation and a resource-driven scheduling technique to calculate the earliest crew deployment dates for all activities that fully comply with crew work continuity while considering uncertainty; and (2) optimization module that utilizes genetic algorithms to search for and identify optimal crew deployment plans that provide optimal trade-offs between project duration and crew deployment plan cost.FindingsA real-life example of street renovation is analyzed to illustrate the use of the model and demonstrate its capabilities in optimizing the stochastic scheduling of crew deployments in repetitive construction projects.Originality/valueThe original contribution of this research is creating a novel multiobjective stochastic scheduling optimization model for both serial and nonserial repetitive construction projects that is capable of identifying an optimal crew deployment plan that simultaneously minimizes project duration and crew deployment cost.

Okudan, Ozan; Budayan, Cenk; Dikmen, Irem

2021 Engineering Construction & Architectural Management

doi: 10.1108/ecam-01-2020-0071

The purpose of this paper is to develop a new conceptual life cycle performance measurement system (PMS) based on stage level key performance indicators (KPIs) to measure the performance of build–operate–transfer (BOT) projects.Design/methodology/approachThis study uses a literature review to reveal the deficiencies of existing PMSs for public–private partnership (PPP) projects. Based on these deficiencies, four recommendations were proposed for developing a PMS. The validation of these recommendations was performed via focus group discussion sessions conducted with 12 experts. Then, a conceptual framework was developed based on the validated recommendations and the additional recommendations emerged during focus group discussions. Finally, the recommendations proposed by the focus group were tested by a questionnaire survey, the findings of the Friedman test and descriptive analysis validated these recommendations.FindingsFindings of the focus group discussion, Friedman test and descriptive analysis indicated that the PMS should have four crucial features to develop an efficient, effective and comprehensible PMS for the BOT project. Firstly, non-financial and financial KPIs should be integrated. Secondly, the PMS should be developed as a process-based system with stage level KPIs. The performance of the BOT projects should be monitored and reviewed continuously, however the most important KPIs should be used for continuous performance measurement to increase the applicability of the system and allocate the resources more efficiently.Research limitations/implicationsThis survey was conducted on experts who have experience with BOT projects located in Turkey, therefore, judgments of experts might be affected by external factors specific to Turkey such as geopolitical situations, investment environment. However, due to the nature of BOT projects, the experience of experts can also be utilized at the international level.Originality/valueThis is the first time a PMS has been developed to measure the performance of a BOT project. In addition, this system has unique features when compared with the PMS proposed in the literature. Especially, the stage level KPIs and continuous performance measurement with the most important KPIs throughout each stage has never been used. This research provides both public sector and private entities with an insight into effectively measure, control and manage their BOT infrastructure projects' performances throughout their life cycles.

Li, Huaqiang; Zhong, Yiting; Fan, Chunmei

2021 Engineering Construction & Architectural Management

doi: 10.1108/ecam-04-2020-0232

The purpose of this paper is to explore the formation mechanism of the host country people's coping behavior regarding the construction of transnational railways to help engineering managers and decision makers improve their risk management and lead to sustainable transnational railway construction projects.Design/methodology/approachThis paper adopted the grounded theory methodology to analyze the news stories reported by “Belt and Road Portal” and “The New York Times” about eight transnational railways. They were China–Kyrgyzstan–Uzbekistan (Central Asia), Mecca-to-Medina (West Asia), Hungarian–Serbia (Europe), China–Nepal (South Asia), Bi-Oceanic (South America), Mombasa–Nairobi (Africa), China–Laos (Southeast Asia) and Panama railways (North America). The keywords for news search were the names of each railway. After eliminating the problem sentences with semantic repetition and ambiguity, 2,631 effective sentences were formed to screen the information and code. The process included open, axial and selective coding.FindingsIt was concluded that the core structure of the formation mechanism was “situation,” “influence factor,” “cognition” and “coping behavior.” The country-of-origin image has served as an adjustment function in the analysis for the host country people. Governance strategies were suggested focusing on risk prevention, risk mitigation and risk response according to social risk management.Research limitations/implicationsThe rise of transnational railway construction is encouraged by the process of globalization. But during the long construction period, the host country people's coping behavior would develop into social conflicts and mass incidents, becoming a significant obstacle to construction objectives. Thus, studying the formation mechanism of public coping behaviors can better take measures to prevent social risks.Originality/valueThe contributions of this research are three aspects: first, a formation mechanism of the host country people's coping behavior based on grounded theory is presented. Second, the country-of-origin image is found to be a factor that cannot be ignored in a transnational context. The formation mechanism of public coping behaviors is improved compared to risk management in the domestic situation. Finally, the host country people pay more attention to the motivations of country-of-origin's controlling interests and their own emotions compared with internal stakeholders.

Gadisa, Benti; Zhou, Hong

2021 Engineering Construction & Architectural Management

doi: 10.1108/ecam-12-2019-0689

It 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.

Zou, Xin; Wu, Guangchuan; Zhang, Qian

2021 Engineering Construction & Architectural Management

doi: 10.1108/ecam-11-2019-0595

Repetitive projects play an important role in the construction industry. A crucial point in scheduling this type of project lies in enabling timely movement of crews from unit to unit so as to minimize the adverse effect of work interruptions on both time and cost. This paper aims to examine a repetitive scheduling problem with work continuity constraints, involving a tradeoff among project duration, work interruptions and total project cost (TPC). To enhance flexibility and practicability, multi-crew execution is considered and the logic relation between units is allowed to be changed arbitrarily. That is, soft logic is considered.Design/methodology/approachThis paper proposes a multi-objective mixed-integer linear programming model with the capability of yielding the optimal tradeoff among three conflicting objectives. An efficient version of the e-constraint algorithm is customized to solve the model. This model is validated based on two case studies involving a small-scale and a practical-scale project, and the influence of using soft logic on project duration and total cost is analyzed via computational experiments.FindingsUsing soft logic provides more flexibility in minimizing project duration, work interruptions and TPC, especial for non-typical projects with a high percentage of non-typical activities.Research limitations/implicationsThe main limitation of the proposed model fails to consider the learning-forgetting phenomenon, which provides space for future research.Practical implicationsThis study assists practitioners in determining the “most preferred” schedule once additional information is provided.Originality/valueThis paper presents a new soft logic-based mathematical programming model to schedule repetitive projects with the goal of optimizing three conflicting objectives simultaneously.

Wang, Ran; Lee, Chia-Jung; Hsu, Shu-Chien; Chen, Jieh-Haur

2021 Engineering Construction & Architectural Management

doi: 10.1108/ecam-08-2019-0440

Corporate illegal activities may result in fatal injuries and economic losses and have been widely reported in the construction industry. This study is to investigate the relationship between top management team (TMT) compensation and corporate illegal activities with the moderating effects of aspiration–performance discrepancies.Design/methodology/approachUsing a multi-year sample of Chinese construction firms from 2011 to 2017, this paper employed a hierarchical logit regression model with fixed effects.FindingsThis study indicates that TMT compensation is positively related to the likelihood of corporate illegal activities. It also finds performance higher than aspirations would lower the probability of illegal activities while performance lower than aspirations also decreases the occurrence of illegal behaviors. Finally, the positive relationship between TMT compensation and illegal activities is strengthened by aspiration–performance discrepancies.Practical implicationsIt recommended the design of executive compensation may need to be reconsidered. Next, companies need to carefully monitor top management team, especially when performance is lower than the desired level. Finally, debt-to-equity ratio deserves more attention for Chinese construction firms in suppressing illegal activities.Originality/valueGiven the mixed effects of TMT compensation, this study confirms its positive impact on corporate illegal behaviors. Consistent with the behavioral theory of the firm, it unveils the direct and moderating effects of aspiration-performance discrepancies. The findings are beneficial for evaluating firms' performance and considering the prevention of corporate fraudulent activities.