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This chapter of the book seeks to use famous mathematical functions (statistical distribution functions) in evaluating and analyzing supply chain network data related to supply chain management (SCM) elements in organizations. In other words, the main purpose of this chapter is to find the best-fitted statistical distribution functions for SCM data. Explaining how to best fit the statistical distribution function along with the explanation of all possible aspects of a function for selected components of SCM from this chapter will make a significant attraction for production and services experts who will lead their organization to the path of competitive excellence. The main core of the chapter is the reliability values related to the reliability function calculated by the relevant chart and extracting other information based on other aspects of statistical distribution functions such as probability density, cumulative distribution, and failure function. This chapter of the book will turn readers into professional users of statistical distribution functions in mathematics for analyzing supply chain element data.

In markets, audiences generally discount offerings that fail to fit established product categories, but when misfit offerings change category meaning, the effects of conformity and deviation can reverse so that previously overlooked or unappealing offerings become popular while previously appealing products fall into disfavor. After introducing the idea of category currency to explain how the value of conformity changes with ongoing meaning construction, we use it to make sense of the emergence of nanotechnology. In conclusion, we argue that category currency is useful for explaining the changing value of conformity both in and beyond markets.

Social networks are not just patterns of interaction and sentiment in the real world; they are also cognitive (re)constructions of social relations, some real, some imagined. Focusing on networks as mental entities, our essay describes a new method that relies on stylized network images to gather quantitative data on how people “see” specific aspects of their social worlds. We discuss the logic of our approach, present several examples of “visual network scales,” discuss some preliminary findings, and identify some of the problems and prospects in this nascent line of work on the phenomenology of social networks.

It is now well-established that good water quality is associated with economic prosperity, reduced incidence on public health and the good functioning of the various ecosystems found in our environment. Water contamination is mostly related to both diffused (agricultural lands and geologic rock degradations) and point sources of pollution. Mauritius has many water resources which depend solely on precipitation for their replenishment. Water parameters which are of relevance include total dissolved solids (TDS), temperature, pH, electrical conductivity, turbidity, dissolved oxygen, dissolved and particulate organic carbon and major cations and anions. The traditional methods of analysis for these parameters are mostly using electrical and optical methods (probes and sensors in the field), while chemical titrations, Flame AAS and High-Performance Liquid Chromatography techniques are carried out in the laboratory. Image Classification techniques using neural networks can also be used to detect the presence of contaminants in water. In addition to basic water quality parameters, the field sensors range have been extended to cover important major ions and can now be integrated with Artificial Intelligence (AI)-based models for the prediction of variations in water quality to better protect human health and the environment, reduce operation costs of water and wastewater treatment plant unit processes.

This chapter describes the theoretical contributions of Fractal Change Management (FCM) in relation to Quantum Storytelling theory and practice. Building on the application of complexity theory in the hard sciences as well as social contexts, this chapter considers the areas of overlap and difference between FCM and its theoretical fellows, summarizing selected concepts from FCM, considering the strengths and weaknesses of the method in various contexts, as well as its development over time. Prior studies in the yoga and nonprofit communities are briefly discussed along with ongoing work with software developers. Areas for further study are examined in detail, as a way to establish an antenarrative for this line of inquiry that honors its lineage as well as its contributions to the body of knowledge.

There is growing public interest in alternatives to intellectual property including, but not limited to, prizes and government grants. We collect various historical and contemporary examples of alternative incentives, and show when they are superior to intellectual property. We also give an explanation for why federally funded R&D has moved from an intramural activity to largely a grant process. Finally, we observe that much research is supported by a hybrid system of public and private sponsorship, and explain why this makes sense in some circumstances.