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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.

Towns and cities across Canada face rapidly changing economic circumstances and many are turning to a variety of strategies, including tourism, to provide stability in their communities. Community Economic Development (CED) has become an accepted form of economic development, with recognition that such planning benefits from a more holistic approach and community participation. However, much of why particular strategies are chosen, what process the community undertakes to implement those choices and how success is measured is not fully understood. Furthermore, CED lacks a developed theoretical basis from which to examine these questions. By investigating communities that have chosen to develop their tourism potential through the use of murals, these various themes can be explored. There are three purposes to this research: (1) to acquire an understanding of the “how” and the “why” behind the adoption and diffusion of mural-based tourism as a CED strategy in rural communities; (2) to contribute to the emerging theory of CED by linking together theories of rural geography, rural change and sustainability, and rural tourism; and (3) to contribute to the development of a framework for evaluating the potential and success of tourism development within a CED process.

Two levels of data collection and analysis were employed in this research. Initially, a survey of Canadian provincial tourism guides was conducted to determine the number of communities in Canada that market themselves as having a mural-based tourism attraction (N=32). A survey was sent to these communities, resulting in 31 responses suitable for descriptive statistical analysis, using Statistical Package for the Social Sciences (SPSS). A case study analysis of the 6 Saskatchewan communities was conducted through in-depth, in person interviews with 40 participants. These interviews were subsequently analyzed utilizing a combined Grounded Theory (GT) and Content Analysis approach.

The surveys indicated that mural development spread within a relatively short time period across Canada from Chemainus, British Columbia. Although tourism is often the reason behind mural development, increasing community spirit and beautification were also cited. This research demonstrates that the reasons this choice is made and the successful outcome of that choice is often dependent upon factors related to community size, proximity to larger populations and the economic (re)stability of existing industry. Analysis also determined that theories of institutional thickness, governance, embeddedness and conceptualizations of leadership provide a body of literature that offers an opportunity to theorize the process and outcomes of CED in rural places while at the same time aiding our understanding of the relationship between tourism and its possible contribution to rural sustainability within a Canadian context. Finally, this research revealed that both the CED process undertaken and the measurement of success are dependent upon the desired outcomes of mural development. Furthermore, particular attributes of rural places play a critical role in how CED is understood, defined and carried out, and how successes, both tangible and intangible, are measured.

This chapter analyzes the aggregate performance of Home Run Derby competitors’ performance both before and after the Home Run Derby for the time period 1999–2013. Regression to the mean suggests that in general, those players with outstanding performances in the first half of the season will regress to the mean. The findings here are consistent with regression to the mean, and the mean performance along four key analytics is statistically significantly worse for the competitors. However, the winners’ mean performance both before and after the Home Run Derby are not statistically significantly different. Thus, the results are consistent with previous research, but the results also find so-called “winner and loser” effects in Major League Baseball.

Much has been analyzed regarding the origins and the impact of rankings and metrics on policies, behaviors, and missions of universities. Surprisingly, little attention has been allocated to describing and analyzing the emergence of metrics as a new action field. This industry, fueled by the “new public management” policy perspectives that operate at the backstage of the contemporary pervasive “regime of excellence,” still remains a black box worth exploring in depth. This paper intends to fill this loophole. It first sets the stage for this new action field by stressing the differences between the policy fields of higher education in the United States and Europe, as a way to understand the specificities of the use of metrics and rankings on both continents. The second part describes the actors of the field, which productive organizations they build, what skills they combine, which products they put on the market, and their shared norms and audiences.

A little-known “lottery fever” has spread to many parts of rural China over the past 10 years. This is driven by participation in underground lotteries with local bookies. It is called liuhecai, which is the name of the Hong Kong lottery, and is based on guessing the bonus number of the Hong Kong Mark Six lottery. Such lotteries are illegal, but are an open secret. This chapter seeks to understand the meaning of this apparently irrational lottery fever: why people participate in it, why they believe the conspiracy theory that it is rigged (and yet still participate), and why similar lotteries have emerged in both capitalist Taiwan and post-socialist China at this particular time.

This chapter explicates the logic of a computational agent-based model bearing on the willingness of perpetrator agents to conduct genocidal actions against Jewish people during World War II. Given realistic distributions of benefits and costs and sufficient time, as a joint consequence of these distributions and interpersonal influence the model readily creates agents who are avowed anti-Semites, Nazis, and perpetrators of the genocide, even transforming agents characterized initially by lower levels of anti-Semitism. Although many agents initially exhibit dissonance (i.e., a disjunction) between their attitudes and choices, toward the end of this period their anti-Semitic attitudes and choices become consonant (i.e., internally consistent). Experiments and parameter studies using this model indicate that different distributions of benefits and costs, changed legitimacy of authority, and different values of anti-Semitism of influential agents can modify the growth of prejudice, Nazism, and genocidal choices in these random-number-based Monte Carlo trials. The results clarify the conflicting interpretations of Goldhagen and Browning concerning the genocidal actions of a battalion of perpetrators and the role of propaganda in reducing moral costs. Six hypotheses that focus the testing of the model can be generalized creating insights about other genocides.