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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.

Although markets are intensely social, stock markets are peculiar in that they are normatively anonymous spaces. Anonymity is a difficult-to-achieve social accomplishment in which material identity information is successfully stripped from participants. The academic literature is conflicted regarding the degree to which equity markets are anonymous and how this influences traders’ behavior.

Based on focused, tape-recorded ethnographic interviews, this chapter investigates the work practices of professional investors and brokers to describe the conditions under which brokers veil or reveal investors’ identities to their competitors, and thereby shed light on how anonymity is socially produced (or eroded) in global stock markets.

The social structure of brokered financial markets places brokers in the awkward situation of sitting in an information-poor structural location for so-called “fundamental information” while being paid to share information with professional investors who sit in an information-rich structural location. A resolution to this material and social dilemma is that brokers can erode the market’s anonymity by gifting identity information (“order flow”) – the previous, prospective, or pending trades of their clients’ competitors – thereby providing traders a competitive advantage. They share identity information in three types of performances: transparent relationships, masked relationships, and the transformation of illicit material identity information into licit and sharable “fundamental” information. Each performance partly erodes transaction-level and market-level anonymity while simultaneously partially supporting anonymity.

Laws and regulations requiring brokers’ confidentiality of their clients’ trades are easily and systematically eluded. Policy makers and regulators may opt to respond by increasing surveillance and mechanization of brokers’ work so as to promote a normatively anonymous market. Alternatively, they may opt to question the value of promoting and policing anonymity in financial markets by revising insider trading regulations.

Even well-regulated markets are semi-anonymous spaces due to the systematic exposure of investors’ identities to competitors by their shared brokers on a daily basis. This finding provides an additional explanation for how professional investors can imitate one another (“herd”) as well as why subpopulations of investors often trade so similarly to one another.

To create circular economies, we need supply systems to convey materials between their use lives. Often, though, it is not possible to control an entire supply network. Without a coordinator to implement circular economy principles, how can circular supply systems come to be? This chapter sets out to build on complex adaptive systems (CAS) theory and circular economy research to conceptualize how information flows between actors can facilitate the emergence of a circular supply system. It begins by outlining why a supply network can be considered a CAS, as well as the CAS progression from information to adaptation to emergence. Next, it argues that information on local supply networks, extended supply systems, and biosphere impacts is particularly important for circular production. Finally, it concludes with two potential types of emergence that can stem from these information flows: (1) new actor roles and networks and (2) new spatial and temporal patterns. Ultimately, this conceptual overview aims to give researchers and practitioners a CAS frame for thinking about how continual adaptation to information flows can enable change toward circular supply systems.

I investigate the well-known educational gradient in smoking. It is well established that, at least in recent decades, people with higher levels of education are less likely to smoke and, conditional on being a smoker, are more likely to quit than are people with less education. Using longitudinal data on lifetime smoking histories, I explore whether the educational gradient changes when one accounts for differences in the amount of information smokers have about the health risks associated with smoking. At the core of the analysis is a new way to measure not only the flow of information a person receives but also a person’s stock of information in any year. I construct measures of the stock and flow of information with consumer magazine articles that discuss cigarette smoking and health. To calculate exposure, I predict individuals’ reading of particular magazines and link predicted exposure to data on individual smoking status in every year of life. The analysis sample includes many individuals who started smoking in the 1930s and 1940s – well before scientific evidence had accumulated. After replicating the education gradient in terms of smoking cessation, I show that it is mostly explained by the interaction between educational attainment and the stock of knowledge individuals possess. The findings suggest that education affects whether and how a stock of health risk information induces people to quit smoking.

The importance of tourism for France's economy and society means that proper knowledge of tourism flows is essential. But designing a measuring system and periodic gathering of statistical data raise several difficulties. First, tourism is, by definition, based on movement, and all phenomena involving movement are difficult to measure. Second, there are many different forms of tourism, including holidays and business trips, short and long stays and so forth. Third, the notion of tourism flows has different meanings for those in charge of road, rail or air traffic management, and for those in charge of tourist visits.

This paper first discusses the ambiguities of the notions used in tourism studies. It emphasises the distinction between tourist flows along transportation routes and those in specific places. It then reviews the proper calculation rules for each of the geographical objects used for measuring tourism phenomena, which are primarily lines and areas. It also addresses some of the problems raised by the failure to comply with these rules in published information.

Third, this paper presents the various systems used to measure tourist flows and inflows, and discusses their usefulness and limitations, before discussing some new developments in the field.

Finally, it examines the potential value of modern communication technologies for mobility studies. More specifically, it raises the issue of striking the right balance between statistical accuracy and individual freedom.

…In this issue, information is analysed not as a static resource, housed and managed by computers, but as dynamic flows on computer networks, networks which permit information to be communicated, shared, distributed and integrated (Taylor, 1992). As we have seen, what is distinctive in the information polity is, therefore, the changing nature of relationships both in and around governmental organizations, and their electronic mediation.

Recent research on immersive experiences in online environments for higher education has attributed a fundamental role to two distinct yet connected psychological phenomena: the feelings of being virtually present in the education environment, often simply called presence, and peak episodes of flow. The authors conceptually delimitate these two psychological facets of e-learners’ experiences and examine their interplay. The authors show how flow episodes are elicited by students’ sense of control over the online education environment, their attention being focussed on the learning tasks, and their feelings of being physically placed in the online education setting. Also, the interactivity created by the online education environment evokes an e-learner’s imagery, which in turn triggers presence feelings and episodes of flow. The authors further show that, although presence and flow are triggered by some common antecedents, they differ in the object of the individual’s immersion, and that presence feelings facilitate flow. Moreover, the authors provide practical recommendations for higher education institutions, policy makers and the academic and information and communication technology community involved in e-learning, to make sure e-learner experiences reach their fullest potential.

Purpose – I suggest that we conceptualize labor markets as observable social networks, in which workplaces are the nodes and people moving between workplaces are the edges. The movement of people delivers the actionable information as to what the supply, demand, and going wage for labor might be. Labor market networks are hypothesized to be quite thin thus leading to substantial wage setting autonomy within workplaces, consistent with contemporary observations in both economics and sociology as to the weakness of labor market signals.Method – This paper reviews theoretical and empirical work in economics, sociology, and network science and develops a network image of labor market structure and function. Hypotheses derived from economic, sociological, and network theories are proposed to explain workplace-level wage setting.Findings – Information flow, trust in information, information variance, collusion, and status beliefs are all proposed as important network properties of labor markets. The paper outlines an observational strategy to make labor markets scientifically observable.Originality – Economists and sociologists often refer to labor markets as mechanisms setting the price of labor but rarely observe them. This paper outlines a strategy for making the invisible hand of the market scientifically observable.

Food supply chain transparency and traceability is very important to address the issue regarding quality and safety. In traditional tracing system, with increasing the complexity of supply chain making product recalls difficult to manage and putting human lives at risk. To eliminate such types of risks, blockchain technology gives more efficient and reliable system for food tracing. Recently, there is an exponential rise in adoption of blockchain technology and most disparate IOT (Internet of things) devices in agriculture and food supply chain. It is an evolving technology that comforts the food supply chains by providing transparent data records and manage the food movement in the chain using distributed (P2P) network. That is more secured and there's no need for third party verifications. Our focus in this research will be on the Indian wheat supply chain and issues related to food losses caused by a lack of transparency and traceability. In order to improve the transparency of the wheat supply chain, we created an end-to-end smart wheat supply chain solution that combines blockchain technology, NFC tags, IoTs, and smart contracts. The solution is supported by entity relationship diagrams, information and money flow sequence diagrams, and a blockchain network diagram. We also used a security algorithm and the “NFC-Tag writer by NXP” program to validate and assess our system. This work could serve as a springboard for more in-depth research in this area. Depending on the existing situation in the industry, this research can also advise corporate procedures to deploy blockchain-based applications in the supply chain and logistics industry.

The chapter redefines the focus of the changes required to create sustainable healthcare away from fixing healthcare organizations and toward reconfiguring the constituent elements of the healthcare ecosystem and redefining how they interrelate to yield value more sustainably.

Based on a review of recent literature on healthcare reform, we argue that unlike other sectors, healthcare organizations cannot change themselves without changing their connections to the rest of the healthcare ecosystem, including other healthcare organizations, patients, governments, research institutions, vendors, and the citizenry at large. This is because these are not only stakeholders but also integral parts of healthcare processes.

Interventions intended to create more sustainable healthcare must bring together knowledge and perspectives from across the ecosystem, and must converge different sources of information and analysis to generate novel ways of connecting across the ecosystem. Change within a healthcare system cannot achieve the magnitude of transformation needed to become sustainable.

If the healthcare ecosystem evolves in the manner described in this chapter, the healthcare ecosystem will no longer center around particular institutions and doctors’ offices but rather be defined by flexible and variable interactions between co-acting elements of the ecosystem.

The chapter treats the context as the focus of change in order to change the healthcare system. It proposes three kinds of flows: knowledge, clinical, and resource that are already beginning to change and that will eventually result in fundamentally different approaches to healthcare.