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This chapter reviews recent developments in the density discontinuity approach. It is well known that agents having perfect control of the forcing variable will invalidate the popular regression discontinuity designs (RDDs). To detect the manipulation of the forcing variable, McCrary (2008) developed a test based on the discontinuity in the density around the threshold. Recent papers have noted that the sorting patterns around the threshold are often either the researcher’s object of interest or may relate to structural parameters such as tax elasticities through known functions. This, in turn, implies that the behavior of the distribution around the threshold is not only informative of the validity of a standard RDD; it can also be used to recover policy-relevant parameters and perform counterfactual exercises.

Problems such as information asymmetry and a lack of trust among construction practitioners damage the quality and progress of construction projects. The decentralization, transparency, traceability and temper-proof nature of blockchain technology (BCT) can provide solutions and facilitate multiparty cooperation. However, BCT acceptance in the construction industry is relatively low, and there are few pilot projects adopting BCT. Most relevant literature focuses on BCT acceptance at the industry and organizational levels, but the impact of non-managerial practitioners executing BCT or the traditional approach in day-to-day work tends to be disregarded. This study aims to establish a theoretical model of BCT acceptance, identify key influencing factors and paths of behavioral intention to adopt BCT and promote strategies to enhance BCT adoption.

A new BCT acceptance model for construction practitioners was proposed. A survey was performed with 203 construction practitioners in Shenzhen, China and post-survey interviews were conducted with four BCT experts for validation. Covariance-based structural equation modeling was used to examine the influence paths and moderating effect analysis was performed to check practitioners’ differential perceptions.

Performance expectancy, social influence, facilitating conditions and perceived behavioral control significantly and positively influence behavioral intention to accept BCT, while impacts from effort performance and risk are negative. Overcoming obstacles related to the effort required for BCT adoption and effective risk management will be essential to unlocking BCT’s transformative potential. Then, the moderating effects of respondents’ gender, degree and BCT knowledge as well as the project type involved were analyzed. Continued adoption of BCT in the construction industry has the potential to revolutionize project management, transparency and trust among stakeholders.

The findings of this research can help practitioners and government agencies understand crucial influencing factors and pathways of BCT acceptance. Targeted measures, such as increasing practitioners’ benefits and sense of BCT usefulness, conducting pilot projects and increasing publicity, were proposed for project leadership teams to enhance BCT adoption. This may lead to increased efficiency, reduced disputes and more streamlined and secure construction processes, ultimately enhancing the industry’s overall performance.

Few studies have explored BCT acceptance from the perspective of non-managerial construction practitioners. The BCT acceptance model proposed in this study is a novel adaptation of previous technology acceptance models, with new factors (risk and perceived behavioral control) and moderating variables (degree, BCT knowledge and project type) added for better understanding of non-managerial practitioners’ perceptions and differences.

Lack of knowledge-sharing behavior (KSB) among construction project members hinders propagation of expertise, working methods, and lessons learned within an organization, and deprives the organization of a sustainable competitive edge. The present study investigates the combined effect of organizational antecedents of construction projects on members' KSB and provides a reference for developing management initiatives to motivate KSB.

Based on organizational theory and organizational behavior literature, five organizational antecedents associated with KSB from organizational culture and structure were identified. Subsequently, the authors used survey data from 152 organization members in Chinese construction enterprises to conduct the fuzzy-set qualitative comparative analysis (fsQCA) and reveal configurations of organizational antecedents influencing KSB.

This study identifies five configuration paths that are sufficient for shaping the KSB of construction project members, integrated into two types of driving modes, namely “trust-driven” and “incentive-driven”. Relevant discussions can guide managers of construction project organizations to position the driving strategies of KSB that match different organizational scenarios or constraints.

By analyzing the configuration effects of organizational antecedents on KSB, novel clues are provided for governing the deficiency of KSB among construction project members. This contributes to the literature on knowledge transfer and organizational behavior. The findings provide actionable insights for improving knowledge flow in construction project organizations and designing KSB guidance regimes.

Under the background that engineering, procurement and construction (EPC) contracting model is introduced to adapt to the highly fragmented characteristics of prefabricated construction, the schedule management of general contractor is faced with the challenge of dynamic transmission and interaction of construction scheduling-related risk. The purpose of this paper is to develop the hierarchy of prefabricated construction scheduling-related risks from the perspective of the general contractor, and to analyze the transmission mechanism between risks. The paper also aims to further distinguish the difference of the impact degree of scheduling-related risks, and provide reference for formulating the strategy to alleviate the construction delay.

Based on a review of the literature on prefabricated buildings, this paper identifies 22 scheduling-related risks in construction from the perspective of the general contractor. Semi-structured interviews were then conducted to obtain experts' views on the interrelationships among these risks. Following this, their overall structure was determined by using a hierarchical structure established by using interpretive structural modeling (ISM), and Matrice d'Impacts Croisés Multiplication Appliqués à un Classement (MICMAC) technique was applied to classify them into four groups according to their driving and dependence powers.

The results indicate that the 22 scheduling-related risks in construction followed the inherent path of step-by-step transmission, and all of them could cause different degrees of delays in prefabricated construction. Among them, general experience in contracting projects, the use of emerging technologies and the completeness of the relevant standards and specifications were strong drivers of scheduling delays in construction, and should be prioritized by the general contractor in schedule management. The transitive link between scheduling risks can guide them in developing prevention strategies.

Data quality and reliability risks are the major drawbacks of semi-structured interviews. These were minimized by engaging experts with rich theoretical and hands-on experience in prefabricated construction projects. The hierarchical model only reflects static influence relationships, and so dynamic interactions among scheduling-related risks should be studied in future.

The primary value of this study is in its development of a hierarchical model by using the integrated ISM–MICMAC approach that reflects the interaction between scheduling risks in the construction of prefabricated buildings. The hierarchy of these risks and the results of a “driving-dependence power” analysis can guide the general contractor in taking targeted preventive measures to avoid scheduling delays in the construction of prefabricated buildings.

Malaysia is recognised as an emerging country with a large Muslim population, making the Malaysian Takaful industry the largest Takaful market in the Southeast Asia region and, notably, one of the fastest growing markets globally. Malaysia is also the first country globally to implement a risk-based capital framework for Takaful. Therefore, the purpose of this paper is to identify the factors that influence the efficiency level (cost efficiency and technical efficiency) of the Takaful industry and to examine the effects of Takaful insurance firms’ specific factors and corporate governance factors that influence the efficiency of Takaful insurance in Malaysia.

In this paper, the efficiency level of the Malaysian Takaful industry was examined between 2011 and 2015. The sample consisted of 11 family Takaful and 8 general Takaful operators. Two-stage Data Envelopment Analysis (DEA) was used by first, conducting non-parametric frontier data envelopment analysis to obtain a DEA score for each operator. This was followed by panel regression with the DEA scores as the dependent variable and the insurance firms’ specific factors and corporate governance factors as the independent variables.

The results of DEA indicate that Takaful operators in general have allocative inefficiency but family Takaful is more cost efficient than general Takaful. Results of panel data analysis reveal that corporate governance factors do influence the cost efficiency but find no evidence on the firm-specific factors towards the cost efficiency and technical efficiency on Takaful operators. Board size and the proportion of non-executive directors impose a negative and significant relationship with cost efficiency, while proportion of Muslim directors in the board is not significant.

This paper focused solely on Malaysia which uses strict regulations governing the Takaful insurance market. Due diligence was also performed to minimise any limitation in the paper. It is proposed that future studies should examine this issue in greater detail by incorporating more data from other Muslim countries.

The findings of this paper have significant implications for policymakers to understand the efficiency condition in the Takaful market. Takaful operators should maintain a small board size with a higher proportion of executive directors, given they could improve the level of effective decision-making to enhance the cost efficiency. As corporate governance factors are significant, Takaful operators in Malaysia should also undertake transparent disclosure practice and reporting such as providing adequate and relevant information related to Shariah compliance and principles to provide a robust foundation as the Takaful market leader regarding Takaful regulations globally.

The consumer is able to make a better decision when choosing Takaful insurance company to protect their interests.

No similar paper has been undertaken to the best of the researcher’s knowledge using similar research design and scope to investigate the efficiency of Takaful insurance as in this paper. Takaful insurance is a rapidly growing industry in Malaysia, setting a prime example to other countries globally. Malaysia was selected for this study, as it is the only nation that has implemented the most extreme regulation in the Takaful insurance market.

The purpose of this paper is to examine the impact of free cash flow (FCF) on the agency costs and how these FCF and agency costs affect the performance of REITs in Asia. Unlike previous studies that focus on conventional public listed companies and non-regulated industry, the Asian REIT industry being a highly regulated industry provides a new context for further research.

The samples for this study comprise REIT data from four major Asian REIT countries, namely, Japan, Singapore, Hong Kong and Malaysia. These countries are the leaders in Asian REITs which account for 94 percent of the total market capitalization of REITs in Asia. The study period is from 2002 to 2012 using panel data. This study employs GMM method which is more robust compared to previous studies that used pooled ordinary least squares (OLS) and other panel data methods.

The results indicate that FCF and agency costs persist over time in Asian REITs even though REITs are in a highly regulated industry. The findings also imply that REIT managers face substantial costs when they wish to adjust to the equilibrium level of agency costs, whereby the optimum level is always dynamic and not constant over time and moves with the changes in the determinants of agency costs. These agency costs persist over time and have significant impacts on the performance of REITs in Asia.

There are limited data in selling, general and administrative expenses in Asian REITs which render only limited use of selling, general and administrative expenses ratio in this empirical study on Asian REITs. For future research, researchers can embark on research studies on issues that might determine the speed of adjustment toward the equilibrium level of agency costs in Asian REITs.

For REIT regulators in Asia, this empirical study helps to provide useful information for policy planning and formulation in REIT corporate governance; and to transform the inherent satellite structure of the externally managed REIT structure into internally managed REIT structure. For REIT managers and practitioners, this empirical study serves as a reflection for them which helps them to be more aware of the dynamism of FCF and agency costs in REITs; and alert them that these FCF and agency costs persist over time which can have significant impacts on the REIT performance, return on assets and return on equity, REIT value and REIT return, respectively in Asia. Thus, they could consider internalizing their REIT management structure for better and more efficient management in REITs in order to mitigate the agency costs that are persistent over time. As a whole, this empirical study contributes significant benefits to all level of the REIT industry in Asia.

This implies that the REITs in Asia should consider internally managed REIT structure since the agency costs persist over time and there are always dynamic and not constant over time and moves with the changes in the determinants of agency costs. The findings also imply that the regulators in Asian REITs should enforce absolute stringent corporate governance rules and regulations in order to govern the existing inherent satellite structure of the externally managed REITs in Asia.

This empirical study contributes significant benefits to all levels of the REIT industry in Asia and the current limited literature on Asian REITs by examining the impact of FCF and agency costs on the performance of REITs in Asia. This is the first research to embark on FCF and agency costs on REITs in Asia. Furthermore, this study employs GMM method which is more robust compared to previous studies that used pooled OLS and other panel data methods.

The purpose of this paper is to examine how corporate governance moderates the relationship between macroeconomic uncertainty and corporate capital structure.

This paper employs the two-step system generalized method of moments regression, considering a sample of 907 listed non-financial firms from seven Asia Pacific countries during the period 2004-2014.

This study finds that macroeconomic uncertainty has a significant negative impact on the capital structure decisions of firms. The results also reveal that the overall effect of macroeconomic uncertainty on capital structure among firms with better governance quality is significantly negative. The evidence suggests that corporate governance acts as an effective mechanism to curb the usage of leverage during times of high volatility. Further analysis shows that board independence, the separation between the roles of CEO and chairman of the board and blockholders’ ownership are effective governance mechanisms, whereas similar observations do not hold for board size and institutional ownership.

The findings of this study may be useful to policy makers to formulate appropriate policies to mitigate the adverse effects caused by macroeconomic uncertainty. This is important because macroeconomic uncertainty may have potential destabilizing effects on a country’s or region’s development by jeopardizing the firms’ ability to formulate sound investment, production and financing decisions. Additionally, the results suggest that good governance quality can act as a check and balance to ensure that firms use less leverage when they are facing volatility in the macroeconomic environment. These findings could help to reinforce the importance of good governance among policy makers of a country as well as managers of firms.

The authors make the first attempt to examine the moderating effect of corporate governance on the relationship between macroeconomic uncertainty and corporate capital structure.

A regression kink design (RKD or RK design) can be used to identify casual effects in settings where the regressor of interest is a kinked function of an assignment variable. In this chapter, we apply an RKD approach to study the effect of unemployment benefits on the duration of joblessness in Austria, and discuss implementation issues that may arise in similar settings, including the use of bandwidth selection algorithms and bias-correction procedures. Although recent developments in nonparametric estimation (Calonico, Cattaneo, & Farrell, 2014; Imbens & Kalyanaraman, 2012) are sometimes interpreted by practitioners as pointing to a default estimation procedure, we show that in any given application different procedures may perform better or worse. In particular, Monte Carlo simulations based on data-generating processes that closely resemble the data from our application show that some asymptotically dominant procedures may actually perform worse than “sub-optimal” alternatives in a given empirical application.

The construction sector has significantly evolved in recent decades, in parallel with a huge increase in the amount of data generated and exchanged in any construction project. These data need to be managed in order to complete a successful project in terms of quality, cost and schedule in the the context of a safe project environment while appropriately organising many construction documents.

However, the origin of these data is very diverse, mainly due to the sector’s characteristics. Moreover, these data are affected by uncertainty, complexity and diversity due to the imprecise nature of the many factors involved in construction projects. As a result, construction project data are associated with large, irregular and scattered datasets.

The objective of this chapter is to introduce an approach based on a fuzzy multi-dimensional model and on line analytical processing (OLAP) operations in order to manage construction data and support the decision-making process based on previous experiences. On one hand, the proposal allows for the integration of data in a common repository which is accessible to users along the whole project’s life cycle. On the other hand, it allows for the establishment of more flexible structures for representing the data of the main tasks in the construction project management domain. The incorporation of this fuzzy framework allows for the management of imprecision in construction data and provides easy and intuitive access to users so that they can make more reliable decisions.

Purpose: The study aims to explore the wider acceptance of blockchain technology and growing faith in this technology among all business domains to mitigate the chances of fraud in various sectors.

Design/Methodology/Approach: The authors focus on studies conducted during 2015–2022 using keywords such as blockchain, fraud detection and financial domain for Systematic Literature Review (SLR). The SLR approach entails two databases, namely, Scopus and IEEE Xplore, to seek relevant articles covering the effectiveness of blockchain technology in controlling financial fraud.

Findings: The findings of the research explored different types of business domains using blockchains in detecting fraud. They examined their effectiveness in other sectors such as insurance, banks, online transactions, real estate, credit card usage, etc.

Practical Implications: The results of this research highlight (1) the real-life applications of blockchain technology to secure the gateway for online transactions; (2) people from diverse backgrounds with different business objectives can strongly rely on blockchains to prevent fraud.

Originality/Value: The SLR conducted in this study assists in the identification of future avenues with practical implications, making researchers aware of the work so far carried out for checking the effectiveness of blockchain; however, it does not ignore the possibility of zero to less effectiveness in some businesses which is yet to be explored.