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In this study, a mode choice model explicitly considering travel time reliability is developed. This model quantifies travelers' attitudes towards travel time variability as well as average travel time. Data were collected from the morning commuters who have two or three alternative modes including some public transportation and private vehicles. The survey period includes both a normal period where all the transportation modes were available and an abnormal period where the main major public transportation service was closed. The model is applied to practical commuters' decision making, and one of the findings in the mode choice model is that they pay relatively large attention to the travel time variability. In this model, travel time variability is dealt with as the possibilities that the commuters arrive before or after their job starting time separately. The best-fit model indicates that the commuters pay more attention to early arrival and less to late arrival in the normal period. In the abnormal period, however, their attention shifts drastically to late arrival. This suggests that the commuters behave optimistically in the normal period and pessimistically in the abnormal period.

We use normal accident theory to analyze the financial sector, especially that part of the financial sector that processed home mortgages, and the mortgage meltdown. We maintain that the financial sector was highly complex and tightly coupled in the years leading up to the mortgage meltdown. And we argue that the meltdown exhibited characteristics of a system or normal accident; the result of a component failure (unusually high mortgage defaults) that, in the context of unique conditions (which included low interest rates and government policy encouraging home loans to less credit-worthy households), resulted in complex and tightly coupled interactions that financial elites and government officials were ill-equipped to control. We also consider the role that agency and wrongdoing played in the design of the financial system and the unfolding of the mortgage meltdown. We conclude that a fundamental restructuring of the financial system, so as to reduce complexity and coupling, is required to avert future similar financial debacles. But we also conclude that such a restructuring faces significant obstacles, given the interests of powerful actors and the difficulties of labeling those responsible for the meltdown as wrongdoers.

Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured supply chain practices, lack of awareness of the implications of the sustainability concept and failure to recycle poultry wastes. The current research thus attempts to develop an integrated supply chain model in the context of poultry industry in Bangladesh. The study considers both sustainability and supply chain issues in order to incorporate them in the poultry supply chain. By placing the forward and reverse supply chains in a single framework, existing problems can be resolved to gain economic, social and environmental benefits, which will be more sustainable than the present practices.

The theoretical underpinning of this research is ‘sustainability’ and the ‘supply chain processes’ in order to examine possible improvements in the poultry production process along with waste management. The research adopts the positivist paradigm and ‘design science’ methods with the support of system dynamics (SD) and the case study methods. Initially, a mental model is developed followed by the causal loop diagram based on in-depth interviews, focus group discussions and observation techniques. The causal model helps to understand the linkages between the associated variables for each issue. Finally, the causal loop diagram is transformed into a stock and flow (quantitative) model, which is a prerequisite for SD-based simulation modelling. A decision support system (DSS) is then developed to analyse the complex decision-making process along the supply chains.

The findings reveal that integration of the supply chain can bring economic, social and environmental sustainability along with a structured production process. It is also observed that the poultry industry can apply the model outcomes in the real-life practices with minor adjustments. This present research has both theoretical and practical implications. The proposed model’s unique characteristics in mitigating the existing problems are supported by the sustainability and supply chain theories. As for practical implications, the poultry industry in Bangladesh can follow the proposed supply chain structure (as par the research model) and test various policies via simulation prior to its application. Positive outcomes of the simulation study may provide enough confidence to implement the desired changes within the industry and their supply chain networks.

In an evaluation of a job training program, the causal effects of the program on wages are often of more interest to economists than the program's effects on employment or on income. The reason is that the effects on wages reflect the increase in human capital due to the training program, whereas the effects on total earnings or income may be simply reflecting the increased likelihood of employment without any effect on wage rates. Estimating the effects of training programs on wages is complicated by the fact that, even in a randomized experiment, wages are truncated by nonemployment, i.e., are only observed and well-defined for individuals who are employed. We present a principal stratification approach applied to a randomized social experiment that classifies participants into four latent groups according to whether they would be employed or not under treatment and control, and argue that the average treatment effect on wages is only clearly defined for those who would be employed whether they were trained or not. We summarize large sample bounds for this average treatment effect, and propose and derive a Bayesian analysis and the associated Bayesian Markov Chain Monte Carlo computational algorithm. Moreover, we illustrate the application of new code checking tools to our Bayesian analysis to detect possible coding errors. Finally, we demonstrate our Bayesian analysis using simulated data.

This chapter uses macro policy analysis conducted at the Center for Teacher Education Research (CTER), Beijing Normal University to analyze the decision-making concerning teacher internship from the perspective of national policy. Internship, a teacher preparation policy initiative in China, is both needed to ease the teacher shortages in rural and poor areas of China and to create new models of teaching practice. Attention is then given to two aspects in policy implementation – student teachers’ learning and teachers’ multiple forms of instruction – from the perspective of teacher preparation. To conclude, the chapter offers some summary statements having to do with the policy debate and the implementation of the internship in China.

Given the growing external value chain disruptions, there have been many studies seeking to propose methods for improving the resilience of global value chains (GVCs). This study complements previous studies by proposing the perspective of firm strategy in switching governance modes to improve the resilience of GVCs. Specifically, this study explores under what conditions MNCs are more likely to switch governance toward non-equity mode (NEM) from the alternative ones. This study introduces three industry-specific factors that affect MNCs’ decision for NEM. It then applies this framework to explain how Korean MNCs’ strategic governance change for the co-productions with Chinese firms when entering their film market which is highly restricted by the Chinese government. This study enriches the research on GVC resilience by arguing that MNCs can avoid unfavorable environmental impacts by flexibly changing their GVC governance modes under certain conditions. This study also contributes to the understanding on why some countries maintain their high attractiveness for foreign MNCs, whereas other countries do not, given the similar level of restrictive government regulations. The protectionist policies of the host government are valid only in an industry where the three conditions are met, as they increase the possibility of domestic firms’ participation by encouraging foreign MNCs to shift their entry mode from sole venture toward alliances with domestic firms.