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"This book provides a forum for the cybernetics field in critical emerging technologies, including research into design, engineering, and technological aspects of cyborg creation and existence alongside humankind for issues in their potential acceptance, participation, policy, governance, and requisite socialization between individualization and corporate, global, networked, mechanized human and humanized machine experiences"--

Abstract
In this paper, I discuss some of the wider uses of adaptive and network sampling designs. Three uses of sampling designs are to select units from a population to make inferences about population values, to select units to use in an experiment, and to distribute interventions to benefit a population. The most useful approaches for inference from adaptively selected samples are design-based methods and Bayesian methods. Adaptive link-tracing network sampling methods are important for sampling populations that are otherwise hard to reach. Sampling in changing populations involves temporal network or spatial sampling design processes with units selected both into and out of the sample over time. Averaging or smoothing fast-moving versions of these designs provides simple estimates of network-related characteristics. The effectiveness of intervention programs to benefit populations depends a great deal on the sampling and assignment designs used in spreading the intervention.

Few industries are buffeted from as many strong forces as healthcare. The industry is highly regulated, thus dramatically increasing costs and sometimes even interfering with the ability to deliver healthcare. New drugs, treatments, and medical technologies are so common that keeping track of them can be overwhelming, and incorporating them into patient care or administration can be costly and complicated. On the social side, different groups have different opinions on any given topic and often the right thing to do depends on your point of view. Third party payers add another level of complexity, and competition adds yet another layer of difficulty as organizations seek to grow patient volume by positioning themselves as distinguished in terms of cost, quality, accessibility, and quality of patient experience.

Coalmining was a notoriously dangerous industry and many of its workers experienced injury and disease. However, the experiences of the many disabled people within Britain's most dangerous industry have gone largely unrecognised by historians. This book examines the British coal industry through the lens of disability, using an interdisciplinary approach to examine the lives of disabled miners and their families.The book considers the coal industry at a time when it was one of Britain's most important industries, and follows it through a period of growth up to the First World War, through strikes, depression and wartime, and into an era of decline. During this time, the statutory provision for disabled people changed considerably, most notably with the first programme of state compensation for workplace injury. And yet disabled people remained a constant presence in the industry as many disabled miners continued their jobs or took up 'light work'. The burgeoning coalfields literature used images of disability on a frequent basis and disabled characters were used to represent the human toll of the industry.A diverse range of sources are used to examine the economic, social, political and cultural impact of disability in the coal industry, looking beyond formal coal company and union records to include autobiographies, novels and oral testimony. It argues that, far from being excluded entirely from British industry, disability and disabled people were central to its development. The book will appeal to students and academics interested in disability history, disability studies, social and cultural history, and representations of disability in literature.

PurposeWhile much existing research on multinational corporation (MNC) digital transformation has followed a linear design and implementation logic using cross-sectional data, the multiple and divergent needs of headquarters (HQ) and subsidiaries suggest that MNC digital transformation actually involves a more iterative journey. The purpose of this paper is to apply the theoretical perspective of embeddedness to better define the complexities of MNC digital transformation, and identify how HQ and subsidiaries can navigate the complexities.Design/methodology/approachThis paper presents a longitudinal multi-case study of fiveForbes Global 2000firms that are HQ in Europe with large subsidiaries in the USA. The authors conducted in-depth interviews with 26 senior executives at HQ and subsidiaries over a 15-month period.FindingsThe process of digital transformation is significantly influenced by internal embeddedness (relationship of HQ with subsidiaries and across subsidiaries) and external embeddedness (relationship of subsidiaries with their local markets), and also by strategy, financial and technology considerations. While HQ and subsidiaries have different perspectives, an understanding of these influences can help HQ and subsidiaries navigate digital transformation.Research limitations/implicationsHQ and subsidiaries can apply insights from this research to navigate the complexities of digital transformation.Originality/valueThis paper demonstrates that embeddedness is a useful theory to understand the complexities of MNC digital transformation.