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Aims to develop a greyscale “painting system” by enabling the physical reproduction of digital texture maps on arbitrary 3D objects selectively exposing “pixels” of photographic emulsion with a robot mounted light source.

After reviewing existing methods of “decorating” 3D components, the properties of photographic emulsion are introduced and the nature of the rendering process' pixels discussed. A proposed path planning algorithm, used to derive both the robot's movement and the exposure times directly from a VRML representation, is then presented.

Results obtained from successfully rendering images on the surface of a test object are presented.

Limitations of current system include the overall process time and the inability to handle objects with concave geometry.

The system requires no bespoke production tooling and fills an automation gap in rapid prototyping and manufacturing technology that is currently occupied by hand painting.

This paper aims to set out several of the key issues and areas of the inter‐disciplinary field of climate change research based in accounting and accountability, and to introduce the papers that compose this AAAJ special issue.

The paper provides an overview of issues in the science of climate, as well as an eclectic collection of independent and inter‐disciplinary contributions to accounting for climate change. Through additional accounting analysis, and a shadow carbon account, it also illustrates how organisations and nations account for and communicate their greenhouse gas (GHG) footprints and emissions behaviour.

The research shows that accounting for carbon and other GHG emissions is immensely challenging because of uncertainties in estimation methods. The research also shows the enormity of the challenge associated with reducing those emissions in the near future.

The paper surveys past work on a wide variety of perspectives associated with climate change science, politics and policy, as well as organisational and national emissions and accounting behaviour. It provides an overview of challenges in the area, and seeks to set an agenda for future research that remains interesting and different.

Organizational behavior scholars have long recognized the importance of a variety of emotion-related phenomena in everyday work life. Indeed, after three decades, the span of research on emotions in the workplace encompasses a wide variety of affective variables such as emotional climate, emotional labor, emotion regulation, positive and negative affect, empathy, and more recently, specific emotions. Emotions operate in complex ways across multiple levels of analysis (i.e., within-person, between-person, interpersonal, group, and organizational) to exert influence on work behavior and outcomes, but their linkages to human resource management (HRM) policies and practices have not always been explicit or well understood. This chapter offers a review and integration of the bourgeoning research on discrete positive and negative emotions, offering insights about why these emotions are relevant to HRM policies and practices. We review some of the dominant theories that have emerged out of functionalist perspectives on emotions, connecting these to a strategic HRM framework. We then define and describe four discrete positive and negative emotions (fear, pride, guilt, and interest) highlighting how they relate to five HRM practices: (1) selection, (2) training/learning, (3) performance management, (4) incentives/rewards, and (5) employee voice. Following this, we discuss the emotion perception and regulation implications of these and other discrete emotions for leaders and HRM managers. We conclude with some challenges associated with understanding discrete emotions in organizations as well as some opportunities and future directions for improving our appreciation and understanding of the role of discrete emotional experiences in HRM.

Single-family houses are a common form of housing in Europe. Most were built in the context of the suburbanization after World War II and are now facing challenges arising from generational changes as well as increasing living and energy standards. According to the hypothesis of this paper, in several EU regions, single-family houses may face future challenges arising from oversupply and lack of adaptation to current demand. To examine this, the paper analyses the present situation and discusses the prognosis for the challenges described above regarding the three neighbouring north-western European countries Belgium, Germany, and the Netherlands, based on available data and a review of country-specific characteristics of housing markets as well as national policies. Despite an impending mismatch between demand and supply, planning policies still support the emergence of new single-family houses. The comparison of Belgium, Germany, and the Netherlands shows the growing polarization between shrinking and growing regions and central and peripheral sites apparent at different stages in the three countries. While a high rate of vacancies is already registered for some regions in Germany, in the Netherlands this phenomenon can only be seen near the borders and in villages within the Randstad conurbation. In Belgium also, this phenomenon is not yet widespread, but in some suburban neighbourhoods dating from the 1950's and 1960's more and more single-family houses are becoming more difficult to sell, indicating an emerging mismatch between supply and demand. This article proposes some instruments which enable municipalities to intervene in single family housing neighbourhoods which are largely dominated by private ownership. These instruments are not yet widely established in single-family housing neighbourhoods but that may become important in the future.

This chapter seeks to investigate the ways individualistic versus collectivistic values moderate neural responses to social exclusion among African American and White respondents. The author hypothesized that the vmPFC – a key brain region for emotion regulation – would correspond to collectivistic value moderation and the dlPFC – the cognitive control center of the brain – would be associated with individualistic value moderation.

This study used a virtual ball tossing game (Cyberball), where 17 African American and 11 White participants were excluded or included with ball tosses, while inside an fMRI scanner. Before the start of each round the participants were primed with individualism, collectivism or a comparison condition.

Results showed that (1) African Americans showed stronger neural responses to exclusion and (2) offered support for the hypothesis that the dlPFC showed greater activation in African Americans (compared to Whites) when they were primed with individualism values during exclusion. There was no support for the collectivism hypothesis.

Research limitations included a relatively small sample size (N = 28), a comparison of only two racial groups and that the partners in the game were virtual (pre-programmed by the experimenter).

This research offers an empirical framework for sociologists seeking to apply social theories into neurological studies.

Identifying effective coping strategies for historically oppressed racial groups.

The chapter is original for demonstrating the moderating effects of values on neural responses to exclusion for the first time and by offering a novel neurosociological framework.

The purpose of this paper is to explore patterns as well as determinants of regional specialisation in China's biopharmaceutical industry. It identifies and characterizes different types of enterprises engaged in the biopharmaceutical sector in terms of their business organisation and regional set up.

Based on data compilations not yet employed in academic analysis as well as personal interviews in China, structural determinants and driving forces of development are analysed against the background of the innovation systems literature.

The geography of innovation in China's biopharmaceutical industry is determined by both, government policy and the strategic location decisions of entrepreneurs. While local‐government support of firm clustering has contributed to a dispersion of industrial activity throughout China, the firms” networks are spanning clusters. Effectively, domestic firms are turning into multi‐regional companies locating activities such as R&D and manufacturing at different clusters.

The paper adds to the literature in so far as it throws light on an until now under‐researched field of China's innovation system. It identifies the concept of multi‐regionalism among domestic non‐state enterprises as an important parameter for understanding success and regional distribution of the industry.

The study addresses the mechanism of how cultural dimensions influence the different dimensions of emotional intelligence. Building on the cascading model described by Joseph and Newman (2010), we extend our previous findings (Gunkel, Schlaegel, & Engle, 2014) by exploring the influence of cultural dimensions on a cascading model of emotional intelligence.

We use survey data from 2,067 business students in nine countries (China, Colombia, Germany, India, Italy, Russia, Spain, Turkey, and the United States), representing 8 of the 11 cultural clusters identified by Ronen and Shenkar (2013).

We find that uncertainty avoidance and long-term orientation have a positive influence on self-emotional appraisal, which in turn influence regulation of emotion, which then has a positive influence on the use of emotion. At the same time, others’ emotional appraisal mediates the relationship between all cultural dimensions except power distance and use of emotion. We also find that uncertainty avoidance, masculinity, and long-term orientation directly influence the use of emotion, suggesting a partial mediation effect.

Our findings have to be interpreted in the light of the limitations of our approach owing to the cross-sectional study design and the limited generalizability of the sample.

We contribute to the existing literature by examining the mechanism through which culture influences the different facets of emotional intelligence and whether and how the different facets affect each other. The proposed influence of culture on a cascading model of emotional intelligence provides a more detailed and nuanced understanding of the mechanism and the pathways in which culture affects emotional intelligence.

Purpose: Risk is a multifaceted concept, and its identification requires complex approaches that are often misunderstood. The consequence is that decisions are based on limited perception rather than the full value and meaning of what risk is, as a result, the way it is being tackled is incorrect. The individuals are often limited in their perceptions and ideas and do not embrace the full multifaceted nature of risk. Regulators and individuals want to follow norms and checklists or overuse models, simulations, and templates, thereby reducing responsibility for decision-making. At the same time, the wider use of technology and rules reduces the critical thinking of individuals. We advance the automation process by building robots that follow protocols and forget about the part of risk assessment that cannot be programed. Therefore, with this study, the objective of this study was to discover how people define risk, the influencing factors of risk perception and how they behave toward this perception. The authors also determine how the perception differed with age, gender, marital status, education level and region. The novelty of the research is related to individual risk perception during COVID-19, as this is a new and unknown phenomenon. Methodology: The research is based on the analysis of the self-administered purposely designed questionnaires we distributed across different social media platforms between February and June 2020 in Europe and in some cases was carried out as a interview over communication platforms such as “Skype,” “Zoom” and “Microsoft Teams.” The questionnaire was divided into four parts: Section 1 was designed to collect demographic information from the participants; Section 2 included risk definition statements obtained from literature and a preliminary discussion with peers; Section 3 included risk behavior statements; and Section 4 included statements on risk perception experiences. A five-point Likert Scale was provided, and participants were required to answer along a scale of “1” for “Strongly Agree” to “5” for “Strongly Disagree.” Participants also had the option to elaborate further and provide additional comments in an open-ended box provided at the end of the section. 466 valid responses were received. Thematic analysis was carried out to analyze the interviews and the open-ended questions, while the questionnaire responses were analyzed using various quantitative methods on IBM SPSS (version 23). Findings: The results of the analysis indicate that individuals evaluate the risk before making a decision and view risk as both a loss and opportunity. The study identifies nine factors influencing risk perception. Nevertheless, it must be emphasized that we can continue to develop models and rules, but as long as the risk is not understood, we will never achieve anything.