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Quality Function Deployment (QFD) proposes to take into account the “voice of the customer,” through a list of customer needs, which are (qualitatively) mapped to technical requirements in House One. But customers do not perceive products in this space, nor do they not make purchase decisions in this space. Marketing specialists use statistical models to map between a simpler space of customer perceptions and the long and detailed list of needs. For automobiles, for example, the main axes in perceptual space might be categories such as luxury, performance, sport, and utility. A product’s position on these few axes determines the detailed customer requirements consistent with the automobiles’ position such as interior volume, gauges and accessories, seating type, fuel economy, door height, horsepower, interior noise level, seating capacity, paint colors, trim, and so forth. Statistical models such as factor analysis and principal components analysis are used to describe the mapping between these spaces, which we call House Zero.

This paper focus on House One. Two important steps of the product development process using House One are: (1) setting technical targets; (2) identifying the inherent tradeoffs in a design including a position of merit. Utility functions are used to determine feature preferences for a product. Conjoint analysis is used to capture the product preference and potential market share. Linear interpolation and the slope point formula are used to determine other points of customer needs. This research draws from the formal mapping concepts developed by Nam Suh and the qualitative maps of quality function deployment, to present unified information and mapping paradigm for concurrent product/process design. This approach is the virtual integrated design method that is tested upon data from a business design problem.

The BEKK GARCH class of models presents a popular set of tools for applied analysis of dynamic conditional covariances. Within this class the analyst faces a range of model choices that trade off flexibility with parameter parsimony. In the most flexible unrestricted BEKK the parameter dimensionality increases quickly with the number of variables. Covariance targeting decreases model dimensionality but induces a set of nonlinear constraints on the underlying parameter space that are difficult to implement. Recently, the rotated BEKK (RBEKK) has been proposed whereby a targeted BEKK model is applied after the spectral decomposition of the conditional covariance matrix. An easily estimable RBEKK implies a full albeit constrained BEKK for the unrotated returns. However, the degree of the implied restrictiveness is currently unknown. In this paper, we suggest a Bayesian approach to estimation of the BEKK model with targeting based on Constrained Hamiltonian Monte Carlo (CHMC). We take advantage of suitable parallelization of the problem within CHMC utilizing the newly available computing power of multi-core CPUs and Graphical Processing Units (GPUs) that enables us to deal effectively with the inherent nonlinear constraints posed by covariance targeting in relatively high dimensions. Using parallel CHMC we perform a model comparison in terms of predictive ability of the targeted BEKK with the RBEKK in the context of an application concerning a multivariate dynamic volatility analysis of a Dow Jones Industrial returns portfolio. Although the RBEKK does improve over a diagonal BEKK restriction, it is clearly dominated by the full targeted BEKK model.

As the role and uptake of digital media, devices and other technologies increases, so has their presence in our lives. Technology has revolutionised the speed, type and extent of communication and contact between individuals and groups, transforming temporal, geographic and personal boundaries. There have undoubtedly been benefits associated with such shifts, but technologies have also exacerbated existing patterns of gendered violence and introduced new forms of intrusion, abuse and surveillance. In order to understand and combat harm and, protect and empower women, criminologists must investigate these practices. This chapter discusses how technology has transformed the enactment of violence against women.

Typically, studies have focussed on particular types of technology-facilitated violence as isolated phenomenon. Here, the author examines, more holistically, a range of digital perpetration: by persons unknown, who may be known and are known to female targets. These digital harms should, the author contends, be viewed as part of what Kelly (1988) conceptualised as a ‘continuum of violence’ (and Stanko, 1985 as ‘continuums of unsafety’) to which women are exposed, throughout the course of our lives. These behaviours do not occur in a vacuum. Violence is the cause and effect of inequalities and social control, which manifests structurally and institutionally, offline and online. Technologies are shaped by these forces, and investigating the creation, governance and use of technologies provides insight how violence is enacted, fostered and normalised.

The authors contribute to scholarly understanding of the interplay between macro-level institutions and micro-level action by focusing attention on the ways the power of institutions works through mundane organizational spaces to constrain individuals as they interact with organizations. The authors explore these macro- and micro-connections between institutions and organizational spaces through a qualitative inductive study of an emergency department in a public hospital in Australia. Analyzing observational and interview data related to a waiting room and a corridor, their findings show how the systemic power of the state and the medical profession impacts micro-level action through organizational spaces. The authors find that the medical profession exerted power in a system of domination over marginalized patients through the waiting room as an exclusion space. At the same time, the state exerted discipline power over professional subjects through the corridor as a surveillance space. Individual resistance to institutional power over the ED was controlled by policing deviance in the surveillance space and ejecting resisters to the exclusion space. Their findings contribute to the literature by opening up new insight into how mundane organizational spaces convey institutional power by dominating and disciplining micro-level actions.

The purpose of this chapter is to examine the presence of abuse enacted through virtual mediums with a specific focus on how athletes can become the targets of online hate. The chapter introduces social media and explores the role it has played in the increasing reliance on virtual worlds. The impact of digital technology on sport in particular is framed in order to demonstrate how digital technologies are now a vital component in our consumption of sport. The primary focus of the chapter is on how virtual spaces can pose significant risk(s). Freedom of speech, shifting power and the lack of safety and regulation in virtual spaces are all presented. Finally, recommendations are made for future research in the area in order to develop understanding of abuse augmented by virtual environments and to develop the focus on virtual safeguarding in sport and beyond.

This chapter synthesises and discusses existing literature from the disciplines of sport, social media and abuse, with a view to understand and address prominent issues encountered by athletes in the virtual world.

By examining abuse through a sociological lens, this chapter focusses on the factors that promote or enable abuse to occur online (often without regulation). The types of abuse experienced in virtual spaces are legion and this adds to the complexity of policing and/or safeguarding online environments.

The chapter makes recommendations for a number of future areas of study that will extend the current understanding of abuse in virtual environments.

The chapter provides a synthesis of the emerging area of virtual abuse and its links to sociology as a discipline. It offers insight into power in virtual spaces as a critical frame of reference for understanding virtual interactions and parasocial relationships.