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Many current video games feature virtual worlds inhabited by autonomous 3D animated characters. These characters often fall short in their ability to participate in social interactions with each other or with people. Increasing the social capabilities of game characters could increase the potential of games as a platform for social learning. This article presents advances in the area of social autonomous character design. Specifically, a computational model of social relationship formation is described. This model formed the basis for a game entitled “AlphaWolf” that allows people to play the role of newborn pups in a pack of virtual wolves, helping the pups to find their place in the social order of the pack. This article offers the results from a 32‐subject user study that assessed the social relationship model, showing that it effectively represents the core elements of social relationships in a way that is perceivable by people. Additionally, this article proposes a game that will allow parents, teachers and children to experiment with computational social behavior through social virtual characters. This research contributes to the development of games for social learning by offering a set of viable algorithms for computational characters to form social relationships, and describing a project that could utilize this model to enable children to learn social skills by interacting with game characters.

University–industry collaborations are an important driver of innovation that highlights the benefits of collaborative processes across organizational boundaries. However, like in most collaborative processes, many challenges remain when trying to manage the process of knowledge sharing and interaction in university–industry partnerships. In this chapter, the authors specifically investigate how leadership as a managerial dimension facilitates collaboration within university–industry joint laboratories. The authors present an explorative and inductive case study of eight joint laboratories set up by Telecom Italia within five major Italian universities. The results show that the laboratory directors play a crucial role in providing a dynamic and socially active working environment, which is enabled through a process of sensemaking and sensegiving. The authors, moreover, find that this process plays a crucial role by shaping effective communication channels that facilitate knowledge sharing and transfer of information. The authors find that this process ultimately acts as a mediator between charismatic leadership on the individual level and distributed leadership on the collective level.

The “New Paradigm” of disability and the International Classification of Function Disability and Health both describe an ecological model of disability that has significantly influenced policy and law, and this model is frequently cited as a background in published research. Given the central role of “the environment” in this ecological model, we asked, what is the status of research on the environment and disability? Specifically, is a scoping review warranted in this area of research?

We conducted a “rapid scan” of the National Rehabilitation Information Center (NARIC) database for articles reporting studies of the environment – defined as the arranged or built environment. We also scanned Google Scholar to ascertain the frequency of articles that might report research into the environment.

NARIC archived 12,486 items published from January 2007 to June 2012; 530 (4.2%) of which contained the search term “environment.” Of the 530 items, 78 (14.7%) also included the terms architecture space, accessibility, and ICF. Over the same time period, Google Scholar returned 109,000 entries to search terms “disability and environment,” 349 (0.3%) of which also included the terms architecture space, accessibility, and ICF.

This application of a method for rapidly assessing the status of the literature suggests that research into some aspects of the environment and disability may be under-represented. A more complete review, requiring more resources, is warranted.

In this chapter, we identify three distinct transformational performance improvement (TPI) approaches commonly used to redesign work processes in health care organizations. We describe the unique components or tools that each approach uses to improve the delivery of health services. We also summarize what is empirically known about the effectiveness of each TPI approach according to systematic reviews and recent studies published in the peer-reviewed literature. Based on examination of this research, we discuss what knowledge is still needed to strengthen the evidence for whole system transformation. This involves the use of conceptual frameworks to assess and guide implementation efforts, and facilitators and barriers to change as revealed in a recent evaluation of one major initiative, the Lean Enterprise Transformation (LET) at the Veterans Health Administration. The analysis suggests ways in which TPI facilitators can be developed and barriers reduced to improve the effectiveness and sustainability of quality initiatives. Finally, we discuss appropriate study designs to evaluate TPI interventions that may strengthen the evidence for their effectiveness in real world practice settings.

In order to solve the decision-making problem that the attributive weight and attributive value are both interval grey numbers, this paper tries to construct a multi-attribute grey decision-making model based on generalized greyness of interval grey number.

Firstly, according to the nature of the generalized gresness of interval grey number, the generalized weighted greyness distance between interval grey numbers is given, and the transformation relationship between greyness distance and real number distance is analyzed. Then according to the objective function that the square sum of generalized weighted greyness distances from the decision scheme to the best scheme and the worst scheme is the minimum, a multi-attribute grey decision-making model is constructed, and the simplified form of the model is given. Finally, the grey decision-making model proposed in this paper is applied to the evaluation of technological innovation capability of 6 provinces in China to verify the effectiveness of the model.

The results show that the grey decision-making model proposed in this paper has a strict mathematical foundation, clear physical meaning, simple calculation and easy programming. The application example shows that the grey decision model in this paper is feasible and effective. The research results not only enrich the grey system theory, but also provide a new way for the decision-making problem that the attributive weights and attributive values are interval grey numbers.

The decision-making model proposed in this paper does not need to seek the optimal solution of the attributive weight and the attributive value, and can save the decision-making labor and capital investment. The model in this paper is also suitable for the decision-making problem that deals with the coexistence of interval grey numbers and real numbers.

The paper succeeds in realizing the multi-attribute grey decision-making model based on generalized gresness and its simplified forms, which provide a new method for grey decision analysis.

This chapter is a speculative examination of the way in which theory is used in the social accounting literature. It is intended as an initial guide for those approaching the area for the first time; it is intended as a map for those in the field who would like to adopt a bigger picture for their work and it is intended as a wake-up call to those of us stuck in unconscious ruts. The chapter's departure point is the recognition that social accounting requires a reasonably sophisticated awareness of theory – not least because the subject matter itself is so contentious and conditional. The chapter's ambitions are to encourage a more evaluative and policy-based approach to the subject matter of social accounting; to offer a pedagogic basis to help others make some sense of theory in social accounting and to seek to empower and liberate social accounting scholars by assisting the range of their theorising. Social accounting scholars tend to approach the area with concerns and desires for liberation and possibility. Theory can help articulate those concerns and can support and encourage that desire. Above all, the chapter is explicitly partial, speculative and tentative, and it is not a formal or informed attempt to produce a theory of theories in social accounting. To articulate a range of the possible theories, we offer a simple heuristic through which we may navigate our way through the soup of concepts and perceptions that can blend into a potential infinity of ways of looking and seeing. We hope to encourage diversity and speculation rather than narrowness and alleged certainty.

The purpose of this paper is to advance a novel grey variable dual precision rough set model for grey concept.

To obtain the approximation of a grey object, the authors first define the concepts of grey rough membership degree and grey degree of approximation on the basic thinking logic of variable precision rough set. Based on grey rough membership degree and grey degree of approximation, the authors proposed a grey variable dual precision rough set model. It uses a clear knowledge concept to approximate a grey concept, and the output result is also a clear concept.

The result demonstrates that the proposed model may be closer to the actual decision-making situation, can effectively improve the rationality and scientificity of the approximation and reduce the risk of decision-making. It can effectively achieve the whitenization of grey objects. The model can be degenerated to traditional variable precision rough fuzzy set model, variable precision rough set model and classic Pawlak rough set, when some specific conditions are met.

The method exposed in the paper can be used to solve multi-criteria decision problems with grey decision objects and provide a decision rule. It can also help us better realize knowledge discovery and attribute reduction. It can effectively achieve the whitenization of grey object.

This method proposed in this paper implements a rough approximation of grey decision object and obtains low-risk probabilistic decision rule. It can effectively achieve a certain degree of whitenization of some grey objects.

Despite the important role of entrepreneurial implementation intentions for closing the intention-behavior gap, empirical evidence on their drivers and mechanisms is scant and inconclusive. In the case of college students’ technology-driven entrepreneurship, the objective of the present study is to examine whether implementation intentions are contingent on the university environment in which the progression from entrepreneurial intentions to subsequent actions unfolds. The sample for this study is composed of 299 Bulgarian STEM students, who reported technology-based entrepreneurial intentions. A binary logistic regression is applied to examine four specific mechanisms that facilitate or impede the students’ actual implementation intentions. Findings suggest that students enrolled in universities that provide greater concept development support are more likely to have formed specific implementation intentions, while students in more research-intensive universities are less likely to do so. Practitioner implications and recommendations for future research are provided.