Government policy as a key moderator to contractors’ risk attitudes among Malaysian construction companies

2020 ◽  
Vol 18 (6) ◽  
pp. 1543-1569
Author(s):  
Moshood D. Taofeeq ◽  
A.Q. Adeleke ◽  
Chia-Kuang LEE

Purpose The main parties in construction projects are the engineers, clients, architects, contractors, material suppliers, and consultants such as the project managers. They play the most important roles in implementing construction projects, and their activities have a significant impact on their risk attitudes during the execution of projects. Because each participant has their particular interests, by proprietary information, each participant is driven to achieve maximum benefit, which can result in improper behaviour concerning each other. The risk in this situation is that there would be a moral hazard and adverse selection based on information asymmetry among principal construction participants especially contractors; this outcome is called risk attitudes. Behaviour is affected by various risk factors and the successful implementation of construction projects depends on effective management of the key risk factors part of which is a personal factor. The purpose of this paper is to identify the critical factors affecting contractors’ risk attitudes among Malaysian construction companies with the moderating role of government policy. Organizational control theory and expected utility theory were used to develop the theoretical framework. The study investigated G7 contractors in the Malaysian construction industry. Data were collected through the use of a questionnaire. Design/methodology/approach The research analysis was based on structural equation modelling (SEM), and the research model was ascertained through the Smart PLS 3.0 software (Ringle et al., 2012). Partial least square-SEM is an appropriate analysis that was used to assess the results in the current research because its algorithm permits the unrestricted computation of cause-effect relationship models that use both reflective and formative measurement models. This study uses the quantitative method to identify the individual factors influencing contractors’ risk attitude and the moderating role of government policy among construction companies in Malaysia. This study also focussed on the G7 contractors operating in the Malaysia construction industry that specializes in building, bridge and road construction projects. The duration of the data collection was between two and three weeks. The questionnaire was prepared both in Malay and English languages to allow the respondents to respond most conveniently. Before the copies of the questionnaire were distributed, the selected contractors’ committees were duly informed about the details of the survey procedures. The adopted Likert scale was originally a five-point scale that ranges from “very low” to “very high” with “low or high” in between. Findings The result of this study moderately supports the hypothesized relationships proposed in the theoretical model. In particular, the results recommended that personal factors that affect risk attitudes (working experience, emotional intelligence, professional competence and physical health) have a significant relation with contractors’ risk attitudes in the construction companies in Malaysia. Also, it has been found that government policy (rules and regulations) are important determinants of risk attitudes. Research limitations/implications The study focussed on individual factors affecting contractors’ risk attitudes in the construction company’s in Malaysia. Therefore, the dimensions of factors affecting risk attitudes can be used in another aspect of construction projects such as management factors, economic factors and technical factors. Therefore, further research might investigate other grades of Malaysian construction companies apart from Grade 7 contractors to know if there is a similarity in the results; other grades of the contractors might have potential positive contributions to the construction industry as well. Practical implications With consider to the practical, the current research findings have several contributions for the contractors and project managers. The research results demonstrate that government policy plays an important role in the construction industry and organizational support will also help contractors to control their attitudes in working place. Individual factor has a direct relationship with contractor risk attitudes (CRA), project managers must ensure that the government policy has an impact in all their workers and offered is competitive, fair and by their employees’ contribution. Apart from that managers should also focus on organizational goals especially in managing professional and skilled contractors in the companies. Employees who perceived their employers as uncaring or not supporting their needs and well-being may not be happy working with the organization and the tendency for them to change their attitudes towards risk will be high. Social implications This study also contributes knowledge by lending empirical support to the organizational control theory and expected utility theory system’s effect on CRA and confirming that changing one individual attitude will change the whole equilibrium. This is useful to aid in further synthesis of organizational control theory and expected utility theory in construction companies. Originality/value This study is the first attempt at evaluating the direct and moderating effect relationships among individual factor affecting risk attitudes, government policy and CRA in Malaysian construction companies. These findings also prop up the applicability of the organizational control theory and expected utility theory within the context of construction companies in Malaysia. Also, this study contributed to the literature on psychology by subjective (psychological) measures of individuals’ behaviour and decisions. In the CRA literature, there has been much discussion on personal characteristics to understand behaviours such as attitudes of a contractor towards risk and morals.

Author(s):  
Lukumon O. Oyedele ◽  
Martin Regan ◽  
Jason von Meding ◽  
Ashraf Ahmed ◽  
Obas John Ebohon ◽  
...  

PurposeThe UK construction industry produces up to one third of all waste to landfill. This study aims to identify specific project practices impeding the reduction of waste in construction projects as well as uncovering potential waste solutions throughout the project delivery process. The rationale being that for such a drastic reduction in waste to landfill, holistic and extensive measures would be required.Design/methodology/approachA two‐way methodological approach was used. This comprised qualitative unstructured interviews and a quantitative questionnaire survey of three major stakeholders in the UK construction industry: clients, architects and contractors.FindingsDesign factors remain the major cause of impediments to waste reduction to landfill. Critical impediments include clients making waste prevention a top priority in projects, overly complex designs, waste taking a low priority compared to project time and costs, lack of concerns by designers for buildability, among others. Critical solutions include early supply chain involvement in design process, choosing materials for their durability, early communication of design changes to all parties, longer project programmes and better lead times, among others.Practical implicationsIn all, the target of halving construction waste to landfill based on the 2008 benchmark is achievable but would require construction companies to take it upon themselves to implement the proposed solutions suggested by this study.Originality/valueThe value of this research is to provide UK construction companies with solutions to reduce waste and aid the reaching of the landfill target, as landfill is decreasing as a solution to waste. In addition the cost savings on reducing waste could be crucial for companies in this current economic climate.


Author(s):  
Taofeeq Moshood ◽  
◽  
Adekunle Adeleke ◽  
Gusman Nawanir ◽  
Jibril Bamgbade ◽  
...  

One of the critical factors responsible for the successful management of construction projects is individual factors. These factors play a significant role in the decision-makers' attitudes towards risks management. Many previous studies regarding the management of construction projects have focusedon the factors contributing to the success of risk management. However, little attention has been given to factors severely affecting the decision-makers' risk attitudes with particular reference to an individual's risk factors in the construction industry. Therefore, this study aims to identify the factors affecting contractors' risk attitudes and then determine its relationship with government policy. Theoriesof planned behaviour and organisational control wereused to develop the theoretical framework that investigated G-7 contractors in the Kuantan Pahang, Malaysian construction industry. A review of relevant literature and questionnaire was employedto identify the factors affecting contractors' risk attitudes (personal factors). 112copies of a structured questionnaire were analysed with a response rate of 80%. Structural Equation Modelling SEM was utilised to test the hypotheses developed for the study. The results of this study,through SEM,proved that personal factors (working experience, professional competence and physical health) have a significant influence on contractor risk attitudes in the Malaysian construction industry. The findings of this research also confirm that government policy (rules and regulations) plays a moderating role in enhancing the relationship of personal factors affecting contractors’ risk attitudes in construction companies in Malaysia. The findings of the study provide more understanding of the personal factors that affect contractors' risk attitudes to facilitate contractors' decision-making process and serve as a useful reference for further studies in the field of construction project management.


2021 ◽  
Vol 21 (2) ◽  
pp. 218-243
Author(s):  
Manuel Alexander Silverio-Fernández ◽  
Suresh Renukappa ◽  
Subashini Suresh

Purpose The decentralisation of information and high rate of mobile content access in the construction industry provide an ideal scenario for improvement of processes via the implementation of the paradigm of the Internet of Things (IoT). Smart devices are considered as the objects interconnected in the IoT; therefore, they play a fundamental role in the digital transformation of the construction industry. Currently, there is a lack of guidelines regarding the implementation of smart devices for digitalisation in the construction industry. Consequently, this paper aims to provide a set of guidelines for implementing smart devices in the construction industry. Design/methodology/approach An empirical study was performed in the UK and the Dominican Republic (DR). Following a systematic approach, qualitative data collection and analysis was performed based on semi-structured interviews involving professionals from construction companies in the UK and the DR. Interviews were recorded and subsequently transcribed using Microsoft Word and exported to the software NVivo, where the software was used to find common thematic nodes across all interviews. Findings The findings encompass drivers, challenges and critical success factors (CSFs) for implementing smart devices in construction project. For both countries, the top five CSFs were leadership, staff training, culture, technology awareness and cost of implementation. These findings were used to develop a strategic framework for implementing smart devices in construction companies. The framework establishes the actors, elements and actions to be considered by construction companies when implementing smart devices. Originality/value This paper provides a richer insight into the understanding and awareness of implementing smart devices. A strategic framework for implementing smart devices in the construction industry and providing guidelines for adopting smart devices in construction projects was developed and validated. This study provides a better understanding of the key factors to be considered by construction companies when embedding smart devices into their projects.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xichen Chen ◽  
Alice Yan Chang-Richards ◽  
Antony Pelosi ◽  
Yaodong Jia ◽  
Xuesong Shen ◽  
...  

PurposeWith interest in modern construction methods and new technologies on the rise, construction companies globally are increasingly looking at how to embrace new ideas and engage with new approaches to do things better. A significant amount of work has been carried out investigating the use of individual technologies in the construction sector. However, there is no holistic understanding of the new and emerging technologies that have had proven benefits for construction projects. To fill this gap, this paper aims to provide a landscape of technologies that have been implemented in the construction industry and the benefits associated with their implementation.Design/methodology/approachA systematic review approach and PRISMA guidelines were used. A total of 175 articles published between 2001 and 2020 were identified and thoroughly reviewed.FindingsThe results show that a total of 26 technologies were identified from the literature, and these can be categorised into five groups in terms of their functionality in construction process, namely: (1) data acquisition, (2) analytics, (3) visualisation, (4) communication and (5) design and construction automation. Digital technologies, especially for data acquisition and visualisation, generally appear to underpin and enable innovation in many aspects of construction. Improvements in work efficiency, health and safety, productivity, quality and sustainability have been cited as being the primary benefits of using these technologies. Of these, building information modelling (BIM) appears to be the single most commonly used technology thus far. With the development of computer technology, BIM has constantly been used in combination with other technologies/tools such as unmanned aerial vehicles/systems (unmanned aerial vehicle (UAV)/UAS), geographic information systems (GIS), light detection and ranging (LiDAR) and multidimensional modelling to realise a specifically defined benefit.Practical implicationsThe findings from this review would help construction practitioners identify the types of technologies that can be implemented in different stages of construction projects to achieve desired outcomes, and thus, make appropriate decisions on technology investment and adoption. This review also suggests that to reap the full potential that these technologies offer, aside from construction companies changing their culture and business models, corresponding changes in the construction sector’s operating systems related to building regulation, education and training, as well as contracting and procurement are required.Originality/valueThis paper undertakes a comprehensive systematic review of studies on technology implementation in the construction sector published between 2001 and 2020. It is the first attempt internationally to provide a holistic picture of technologies that have been studied and implemented in construction projects.


2020 ◽  
Vol 27 (5) ◽  
pp. 1119-1143 ◽  
Author(s):  
Umer Zaman

Purpose The purpose of this paper is to argue that modern-day xenophobia has emerged as one of the high-risk factors for transnational mega construction projects (MCP’s). While research in transnational MCP’s remains surprisingly under-explored, this study aimed to examine how transformational leadership (TFL) and HPW practices can still achieve MCP success despite the rise of xenophobia in the global construction industry. Design/methodology/approach This study examined survey-based sample evidence from 220 respondents including project team members (operational, quality and technical), project stakeholders (e.g. regulatory authority, subcontractors, functional managers, etc.) and project clients/sponsors. Partial least squares structural equation modeling (PLS-SEM) technique was employed to test the theoretical hypotheses and to highlight significance of a holistic and novel framework of MCP success. Findings This study’s core finding unveiled a significantly negative effect of xenophobia on MCP success (ß=−0.389, t=5.574, p<0.000). Interestingly, PLS-SEM results also showed a significantly negative effect of TFL on MCP success (ß=−0.172, t=2.323, p<0.018), whereas HPW practices demonstrated a significantly positive effect on MCP success (ß=0.633, t=9.558, p<0.000). In addition, xenophobia and MCP success relationship were positively moderated by TFL (ß=0.214, t=2.364, p<0.018) and HPW practices (ß=0.295, t=3.119, p<0.002), respectively. Research limitations/implications This study underscores the importance of TFL and HPW practices in explaining the linkage between xenophobia and MCP success. Besides advancement of broader multi-disciplinary research and cross-pollination of research ideas, this study also offers unique research direction to explore the potential impact of TFL and HPW practices in demographically diverse project settings especially in countries where xenophobia has swiftly become inevitable. Practical implications As many countries undertake MCP’s with national pride and high strategic importance, this study provides an exemplary model of transnational MCP success. This study shows that conscious use of TFL and HPW practices could guard against escalating xenophobia in the global construction industry. Originality/value This study is first to provide an empirically grounded model of MCP success that collectively examines the role of xenophobia, TFL and HPW practices. This research has developed practical references for transnational construction companies in strategic planning and management of MCP’s.


2020 ◽  
Author(s):  
Mehrdad Salimitari ◽  
Shameek Bhattacharjee ◽  
Mainak Chatterjee ◽  
Yaser Fallah

<div>As Internet of Things (IoT) and Cyber-Physical systems become more ubiquitous in our daily lives, it necessitates the capability to measure the trustworthiness of the aggregate data from such systems to make fair decisions. However, the interpretation of trustworthiness is contextual and varies according to the risk tolerance attitude of the concerned application. In addition, there exist varying levels of uncertainty associated with an evidence upon which a trust model is built. Hence, the data integrity scoring mechanisms require some provisions to adapt to different risk attitudes and uncertainties.</div><div><br></div><div>In this paper, we propose a prospect theoretic framework for data integrity scoring that quantifies the trustworthiness of the collected data from IoT devices in the presence of adversaries who try to manipulate the data. In our proposed method, we consider an imperfect anomaly monitoring mechanism that tracks the transmitted data from each device and classifies the outcome (trustworthiness</div><div>of data) as not compromised, compromised, or undecided. These outcomes are conceptualized as a multinomial hypothesis of a Bayesian inference model with three parameters. These parameters are then used for calculating a utility value via prospect theory to evaluate</div><div>the reliability of the aggregate data at an IoT hub. In addition, to take into account different risk attitudes, we propose two types of fusion rule at IoT hub– optimistic and conservative.</div><div><br></div><div>Furthermore, we put forward asymmetric weighted moving average (AWMA) scheme to measure the trustworthiness of aggregate data in presence of On-Off attacks. The proposed framework is validated using extensive simulation experiments for both uniform and On-Off attacks. We show how trust scores vary under a variety of system factors like attack magnitude and inaccurate detection. In addition, we measure the trustworthiness of the aggregate data using the well-known expected utility theory and compare the results</div><div>with that obtained by prospect theory. The simulation results reveal that prospect theory quantifies trustworthiness of the aggregate data better than expected utility theory.</div>


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sevilay Demirkesen ◽  
Algan Tezel

PurposeThe purpose of this study is to explore the challenges hindering the adoption of Industry 4.0 (I4.0) among construction companies.Design/methodology/approachThe construction industry needs innovative technologies due to its complex and dynamic nature. In this respect, the latest trends such as digitalization, building information modeling (BIM), Internet of things (IoT) are of utmost importance in terms of fostering the change in managing projects and encouraging industry practitioners to adopt the change for better performance. This paper focuses on I4.0adoption among construction companies. In this respect, a questionnaire was designed and administered to construction professionals to reveal the challenges in I4.0 adoption among construction firms. The respondents were requested to fill in the questionnaire on the I4.0 efforts of their companies. The questionnaire was intended to collect the perceptions of industry practitioners working at large construction companies. Based on these, the challenges listed were ranked based on their relative importance and success indices. Finally, the Mann–Whitney U test was conducted to test whether statistically significant responses exist among groups of respondents (i.e. young and old companies, large and small, high and low revenue and main area of expertise).FindingsThe results of the study indicated that resistance to change, unclear benefits and gains and cost of implementation are the major important challenges in terms of I4.0 adoption in construction projects. On the other hand, the data analysis implied that the majority of construction organizations successfully deal with the problems arising from lack of standardization, legal and contractual issues and cost of implementing in terms of promoting I4.0 adoption.Research limitations/implicationsThe study is expected to guide construction practitioners in terms of benefitting from I4.0 applications and deliver projects with better outcomes. This study might be used as a guide for the companies aiming to start their I4.0 transformation knowing the challenges and develop strategies for how to handle them. A concrete plan would help them achieve greater performance and benefit from the I4.0 implementation at the maximum level. Finally, the study implies that construction firms shall prepare action plans for handling each challenge listed and monitor their performance based on the planned and actual data of their projects.Originality/valueThis study investigates the major challenges of I4.0 among construction companies. This is one of the important studies, which puts I4.0 focus forefront of the construction industry with a clear identification of challenges that construction organizations have to address to transform their organizations into construction 4.0. The study has the potential to guide both industry practitioners and researchers to develop awareness for the benefits of using the latest technology and fostering innovation. This is expected to create value for construction clients in terms of achieving the product with serious gains such as time and cost.


Author(s):  
Mehrdad Salimitari ◽  
Shameek Bhattacharjee ◽  
Mainak Chatterjee ◽  
Yaser Fallah

<div>As Internet of Things (IoT) and Cyber-Physical systems become more ubiquitous in our daily lives, it necessitates the capability to measure the trustworthiness of the aggregate data from such systems to make fair decisions. However, the interpretation of trustworthiness is contextual and varies according to the risk tolerance attitude of the concerned application. In addition, there exist varying levels of uncertainty associated with an evidence upon which a trust model is built. Hence, the data integrity scoring mechanisms require some provisions to adapt to different risk attitudes and uncertainties.</div><div><br></div><div>In this paper, we propose a prospect theoretic framework for data integrity scoring that quantifies the trustworthiness of the collected data from IoT devices in the presence of adversaries who try to manipulate the data. In our proposed method, we consider an imperfect anomaly monitoring mechanism that tracks the transmitted data from each device and classifies the outcome (trustworthiness</div><div>of data) as not compromised, compromised, or undecided. These outcomes are conceptualized as a multinomial hypothesis of a Bayesian inference model with three parameters. These parameters are then used for calculating a utility value via prospect theory to evaluate</div><div>the reliability of the aggregate data at an IoT hub. In addition, to take into account different risk attitudes, we propose two types of fusion rule at IoT hub– optimistic and conservative.</div><div><br></div><div>Furthermore, we put forward asymmetric weighted moving average (AWMA) scheme to measure the trustworthiness of aggregate data in presence of On-Off attacks. The proposed framework is validated using extensive simulation experiments for both uniform and On-Off attacks. We show how trust scores vary under a variety of system factors like attack magnitude and inaccurate detection. In addition, we measure the trustworthiness of the aggregate data using the well-known expected utility theory and compare the results</div><div>with that obtained by prospect theory. The simulation results reveal that prospect theory quantifies trustworthiness of the aggregate data better than expected utility theory.</div>


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