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In this chapter we provide analytical and Monte Carlo evidence that Chow and Predictive tests can be consistent against alternatives that allow structural change to occur at either end of the sample. Attention is restricted to linear regression models that may have a break in the intercept. The results are based on a novel reparameterization of the actual and potential break point locations. Standard methods parameterize both of these locations as fixed fractions of the sample size. We parameterize these locations as more general integer-valued functions. Power at the ends of the sample is evaluated by letting both locations, as a percentage of the sample size, converge to 0 or 1. We find that for a potential break point function, the tests are consistent against alternatives that converge to 0 or 1 at sufficiently slow rates and are inconsistent against alternatives that converge sufficiently quickly. Monte Carlo evidence supports the theory though large samples are sometimes needed for reasonable power.

This paper aims to present collection and analysis of heterogeneous urban traffic data, and integration of them through a kernel-based approach for assessing performance of urban transport network facilities. The recent development in sensing and information technology opens up opportunities for researching the use of this vast amount of new urban traffic data. This paper contributes to analysis and management of urban transport facilities.

In this paper, the data fusion algorithm are developed by using a kernel-based interpolation approach. Our objective is to reconstruct the underlying urban traffic pattern with fine spatial and temporal granularity through processing and integrating data from different sources. The fusion algorithm can work with data collected in different space-time resolution, with different level of accuracy and from different kinds of sensors. The properties and performance of the fusion algorithm is evaluated by using a virtual test bed produced by VISSIM microscopic simulation. The methodology is demonstrated through a real-world application in Central London.

The results show that the proposed algorithm is able to reconstruct accurately the underlying traffic flow pattern on transport network facilities with ordinary data sources on both virtual and real-world test beds. The data sources considered herein include loop detectors, cameras and GPS devices. The proposed data fusion algorithm does not require assumption and calibration of any underlying model. It is easy to implement and compute through advanced technique such as parallel computing.

The presented study is among the first utilizing and integrating heterogeneous urban traffic data from a major city like London. Unlike many other existing studies, the proposed method is data driven and does not require any assumption of underlying model. The formulation of the data fusion algorithm also allows it to be parallelized for large-scale applications. The study contributes to the application of Big Data analytics to infrastructure management.

Vietnam is a land that has seen turbulent past and has faced huge damage as being a land for proxy war between the USA and the USSR, but yet it has risen and liberated itself out by adapting renovation or Doi-Moi as it is formally called in Vietnam. The purpose of this chapter is to identify the major impact of trade liberalization and trade integration on the Vietnamese economy. Through this chapter we have tried to bring out the changes that took place in the Vietnamese economy post liberalization. The structural change that took place in the Vietnamese economy due to liberalization is analyzed in this chapter. We have used paired sample T-test and Chow Test (F-Test) to observe the change as Vietnam joined the WTO. The effect that the various policy and FTA that Vietnam had after joining the WTO will be analyzed through this chapter.

We examine the empirical relationship between direct equity agency costs measures and corporate governance control mechanisms to control equity agency costs. We measure the three direct agency cost proxies commonly used in the literature: the operating expense; asset turnover; and selling, general, and administrative (SGA) ratios. Internal corporate governance control mechanisms examined are inside ownership (IO), outside ownership concentration (OC), the size of the board of directors (BODs), and the composition of the BODs (proportion of nonexecutive (NE) directors and separation of chief executive officer (CEO) and board chair). The external corporate governance control mechanism examined is the size of bank debt (short-term debt). Univariate and multivariate tests reveal that the only statistically significant relationship between corporate governance control mechanisms and direct equity agency cost measures is the negative relationship between the proportion of IO and direct agency costs. The asset utilization ratio (asset turnover) ratio is the best proxy for direct equity agency costs and can be useful for event studies of announcement period excess returns.

Aligning the project management methodology (PMM) to a particular project is considered to be essential for project success. Many outsourced software projects fail to deliver on time, budget or do not give value to the client due to inappropriate choice of a PMM. Despite the increasing range of available choices, project managers frequently fail to seriously consider their alternatives. They tend to narrowly tailor project categorization systems and categorization criterion is often not logically linked with project objectives. The purpose of this paper is to develop and test a contingency fit model comparing the differences between critical success factors (CSFs) for outsourced software development projects in the current context of traditional plan-based and agile methodologies.

A theoretical model and 54 hypotheses were developed from a literature review. An online Qualtrics survey was used to collect data to test the proposed model. The survey was administered to a large sample of senior software project managers and practitioners who were involved in international outsourced software development projects across the globe with 984 valid responses.

Results indicate that various CSFs differ significantly across agile and traditional plan-based methodologies, and in different ways for various project success measures.

This study is cross-sectional in nature and data for all variables were obtained from the same sources, meaning that common method bias remains a potential threat. Further refinement of the instrument using different sources of data for variables and future replication using longitudinal approach is highly recommended.

Practical implications of these results suggest project managers should tailor PMMs according to various organizational, team, customer and project factors to reduce project failure rates.

Unlike previous studies this paper develops and empirically validates a contingency fit model comparing the differences between CSFs for outsourced software development projects in the context of PMMs.

The study improves current understanding concerning the implications of digital corporate reporting technology on the informativeness of accounting information.

It looks at how XBRL, an exemplar digital corporate financial reporting technology, affects value relevance of accounting information in the US and Japan, two key jurisdictions where XBRL has been mandated. We operationalise stock price and return value relevance models to assess and compare predicted associations between selected accounting measures and market value of equity in these countries.

We predict that the selected accounting measures are more value relevant after XBRL was mandated than before. We find evidence to support our prediction for the US sample. We also predict and find that the contribution of XBRL to the value relevance of the selected accounting measures is greater in the US than in Japan. Overall, our evidence provides support that digital corporate reporting technology enhances relevance and reliability of accounting measures.

The study appears to be the first to have examined the impact of XBRL on value relevance whilst comparing between two major jurisdictions. The study extends emerging but limited literature concerning the benefits of digital corporate financial reporting for enhancing the communication between firms and users of financial information. The findings are useful to both users of financial information and standard setters.

This study investigates effects of corporate governance on the financial performance of family-controlled firms and how these effects differ between common law and civil law jurisdictions.

This study applies a number of corporate governance measures to the largest 243 publicly listed family-controlled businesses worldwide from 2009 to 2018. The corporate governance measures include board independence, board gender diversity, corporate governance index (CGI) and the percentage of family ownership.

The empirical evidence indicates that board independence improves financial performance; this positive effect is more pronounced in common law than civil law jurisdictions. Board gender diversity has a negative impact on financial performance under common law but a positive impact in civil law jurisdictions. Moreover, the CGI and family ownership structure are positively associated with financial performance, and no difference is found between the two jurisdiction types. In addition, family ownership negatively moderates CGI in civil law countries only.

This study provides new insight on the relevance of considering jurisdictional differences when examining the effect of corporate governance on performance. The study also addresses important concerns in family business research relating to unobserved heterogeneity and endogeneity. Implications of these for research and practice are discussed in the paper.

The idea of implementing supply chain management (SCM) principles for the construction industry was embraced by construction stakeholders to enhance the sector's performance. The analysis from the literature revealed that the implementation of SCM in the construction industry enhances the industry's value in terms of cost-saving, time savings, material management, risk management and others. The construction supply chain (CSC) can be managed using the pull or push system. This chapter also discusses the origin and proliferation of SCM into the construction industry. The chapter revealed that the concept of SCM has passed through five different eras: the creation era, the use of ERP, globalisation stage, specialisation stage and electronic stage. The findings from the literature revealed that we are presently in the fourth industrial revolution (4IR) era. At this stage, the SCM witnesses the adoption of technologies and principles driven by the 4IR. This chapter also revealed that the practice of SCM in the construction industry is centred around integration, collaboration, communication and the structure of the supply chain (SC). The forms and challenges hindering the adoption of these practices were also discussed extensively in this chapter.