237 resultados para deviance


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Using mixed-methods, this research investigated why consumers engage in deviant behaviors. It found that there is significant variation in how consumers perceive right and wrong, which calls for more tailored deterrence strategies to challenge how consumers justify deviant behaviours. Specifically, individuals draw on a number of factors when assessing right and wrong. While individuals agree on the polar acceptable and unacceptable behaviours, behaviours in between are questionable. When social consensus varies on a behaviour's acceptability, so to do the predictors of deviant behaviour. These findings contribute to consumer deviance and consumer ethics research.

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Spatial data are now prevalent in a wide range of fields including environmental and health science. This has led to the development of a range of approaches for analysing patterns in these data. In this paper, we compare several Bayesian hierarchical models for analysing point-based data based on the discretization of the study region, resulting in grid-based spatial data. The approaches considered include two parametric models and a semiparametric model. We highlight the methodology and computation for each approach. Two simulation studies are undertaken to compare the performance of these models for various structures of simulated point-based data which resemble environmental data. A case study of a real dataset is also conducted to demonstrate a practical application of the modelling approaches. Goodness-of-fit statistics are computed to compare estimates of the intensity functions. The deviance information criterion is also considered as an alternative model evaluation criterion. The results suggest that the adaptive Gaussian Markov random field model performs well for highly sparse point-based data where there are large variations or clustering across the space; whereas the discretized log Gaussian Cox process produces good fit in dense and clustered point-based data. One should generally consider the nature and structure of the point-based data in order to choose the appropriate method in modelling a discretized spatial point-based data.

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Australian households currently pay the second highest “honesty tax” in the world at $290 per household per year, levied by retailers to offset the $AU1.86 billion in losses they incur from customer theft. Theft is only one type of consumer deviance, which can include behaviours that are against the law, an organisation’s policy, or behaviours that violate normally accepted conduct. An individual’s “deviant behaviour” can vary from one person to the next. My research exploring consumer definitions of right and wrong has found a number of things can inform what an individual thinks is “deviant behaviour”, beyond what the law or organisational policy states as right or wrong. Consumers then use their own justifications to excuse their actions...

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Deviant behaviour is an ongoing problem in the consumer marketplace (Daunt and Harris, 2012). To investigate this issue, a number of authors have focused on empirically assessing consumer perceptions of right and wrong behaviours, such as the Muncy-Vitell (1992) consumer ethics scale. While studies like this have provided extensive empirical insights, qualitative insight into why consumers make these behaviour classifications remains underexplored. The aim of this paper is to extend on that literature by exploring the reasoning behind behavioural classifications. Using interviews, seven factors were identified in consumer definitions of acceptable, questionable, and unacceptable consumer behaviours including; official classification, prevalence, ease of justification, perceived fairness, consequences, risk, and values. These results also provide actionable insights for marketers in that multi-level deterrence strategies must be employed to more effectively deter consumer deviance, as opposed to traditional deterrence strategies based on cost-benefit analyses.

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This chapter introduces domestic and family violence. It defines the terms and the types of violence they encompass, and summarizes patterns in perpetration and victimisation. The chapter reviews the historical development of domestic and family violence as recognizable social problems. It also explains how domestic violence and family violence are shaped by gender norms. Finally, it explains some key differences between these and other crimes.

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Deterrence strategies for deviant consumer behavior are criticised for their ‘one size fits all’ approach. In two studies, this paper examines how the size of harm and size of victim influences consumer perceptions of deviant consumer behavior. Deterrence strategies are recommended that overcome the differences in consumer perceptions of deviance.

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Contents: 1. SOCIOLOGY: An Introduction to the Sociological Imagination. John Carl, Sarah Baker 2. SOCIOLOGICAL THEORY: An Introduction to the Theoretical Foundations of Sociology. John Carl, Sarah Baker 3. SOCIAL CLASS IN AUSTRALIA: Stratification in a Modern Society. John Carl, John Scott 4. RACE AND ETHNIC STRATIFICATION: Is it a Question of Colour? John Carl, John Scott 5. SEX AND GENDER: The Social Side of Sex. John Carl, Wendy Hillman 6. AGE AND AGEING: The Greying of Society. John Carl, Sarah Baker 7. CRIME AND THE LEGAL SYSTEM: How Do Societies Respond to Crime and Deviance? John Carl, John Scott 8. EDUCATION AND EMPLOYMENT: From the Classroom to the Workforce. John Carl, Sarah Baker and Brady Robards 9: MARRIAGE AND FAMILY: How Do Societies Perpetuate Themselves? John Carl, Wendy Hillman 10. THE BODY, HEALTH AND ILLNESS: A Weight on Australia’s Shoulder. John Carl, John Scott 11. GLOBALISATION: The Economy and Society. John Carl, Geoffrey Lawrence 12. CULTURE: A Framework for the Individual. John Carl, Sarah Baker and Brady Robards 13. RELIGION: Is Society Losing Faith? John Carl, Sarah Baker and Brady Robards 14. ENVIRONMENTAL SUSTAINABILITY AND SOCIAL MOVEMENTS: How Do Societies Connect with Nature? John Carl, Geoffrey Lawrence 15. SOCIOLOGICAL RESEARCH: How Do We Learn about Society? John Carl, Wendy Hillman

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In 1978 Donald Cressey commented on an emerging division in the study of crime with some scholars concentrating on the development of a “crime fi ghting coalition” and others concerned with the processes associated with “making laws, breaking laws, and the reaction to the breaking of laws” (1978: 175). Since Cressey’s paper, many others have refl ected on the distinction between criminology and the sociology of crime and deviance (Akers, 1992; Garland, 1999; Garland & Sparks, 2000; Konty, 2007). But does such a distinction actually exist? Adopting a pragmatic position, the immediate answer is yes, if we assume that these categories have substance on the basis that they are grounded in everyday beliefs, institutional preferences and research practice (Konty, 2007). Moreover, these are viable categories in that some people studying crime label themselves criminologists (or are given this label by others) while others prefer or are given the label sociologist. Of course, there are further labels that may apply to persons studying crime, which include psychologist, penologist, biologist, chemist, and so on. One could argue that such labels are unimportant, however, it remains that these categories have a practical character. For criminology and the sociology of crime in particular, scholarly discourse frames these categories as oppositional (Bader et al., 1996.; Bendle, 1989; Laub & Sampson, 1991; Sibley, 2002) and to the extent that this has occurred, the categories have social relevance.

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This book is an introduction to key issues in the area of crime as it connects to society. The book is divided into three parts: Understanding Crime and Criminality: introduces topics such as the social construction of crime and deviance, social control, the fear of crime, poverty and exclusion, white collar crime, victims of crime, race/gender and crime. Types of Crime and Criminality: explores examples including human trafficking, sex work, drug crime, environmental crime, cyber crime, war crime, terrorism, and interpersonal violence. Responses to Crime: looks at areas such as crime and the media, policing, moral panics, deterrence, prisons and rehabilitation.

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This study was designed to identify the neural networks underlying automatic auditory deviance detection in 10 healthy subjects using functional magnetic resonance imaging. We measured blood oxygenation level-dependent contrasts derived from the comparison of blocks of stimuli presented as a series of standard tones (50 ms duration) alone versus blocks that contained rare duration-deviant tones (100 ms) that were interspersed among a series of frequent standard tones while subjects were watching a silent movie. Possible effects of scanner noise were assessed by a “no tone” condition. In line with previous positron emission tomography and EEG source modeling studies, we found temporal lobe and prefrontal cortical activation that was associated with auditory duration mismatch processing. Data were also analyzed employing an event-related hemodynamic response model, which confirmed activation in response to duration-deviant tones bilaterally in the superior temporal gyrus and prefrontally in the right inferior and middle frontal gyri. In line with previous electrophysiological reports, mismatch activation of these brain regions was significantly correlated with age. These findings suggest a close relationship of the event-related hemodynamic response pattern with the corresponding electrophysiological activity underlying the event-related “mismatch negativity” potential, a putative measure of auditory sensory memory.

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As criminologists we are already very aware of the ways in which prejudice and moral panics can influence how criminal justice personnel engage certain populations in the criminal justice system (Hudson 2008). What may be less well-known is how similar ways of thinking and acting also occur in non-suspicious coronial death investigations. This is because these systems have a lot in common. Similar populations are over-represented in both and this tends to mean that the same populations come to the attention of police, magistrates and pathologists as offenders in the criminal justice system and when their families are victims in the coronial system (Carpenter and Tait 2009; Cuneen 2006). It is also the case that a criminal lens can pervade non-criminal death investigations especially when the experience and training of many coronial professionals is in the criminal justice system (Carpenter, Tait and Quadrelli 2013). This can mean that similar strategies are relied upon by personnel when dealing with families when they are both victims and offenders.

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This paper addresses the problem of identifying and explaining behavioral differences between two business process event logs. The paper presents a method that, given two event logs, returns a set of statements in natural language capturing behavior that is present or frequent in one log, while absent or infrequent in the other. This log delta analysis method allows users to diagnose differences between normal and deviant executions of a process or between two versions or variants of a process. The method relies on a novel approach to losslessly encode an event log as an event structure, combined with a frequency-enhanced technique for differencing pairs of event structures. A validation of the proposed method shows that it accurately diagnoses typical change patterns and can explain differences between normal and deviant cases in a real-life log, more compactly and precisely than previously proposed methods.

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Process improvement and innovation are risky endeavors, like swimming in unknown waters. In this chapter, I will discuss how process innovation through BPM can benefit from Research-as-a-Service, that is, from the application of research concepts in the processes of BPM projects. A further subject will be how innovations can be converted from confidence-based to evidence-based models due to affordances of digital infrastructures such as large-scale enterprise soft-ware or social media. I will introduce the relevant concepts, provide illustrations for digital capabilities that allow for innovation, and share a number of key takeaway lessons for how organizations can innovate on the basis of digital opportunities and principles of evidence-based BPM: the foundation of all process decisions in facts rather than fiction.

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This program of research investigated the harmful effects of mistreatment by the workgroup, and the role of perceived rejection as a critical mediator linking mistreatment and outcomes. This research program had three primary purposes. First, the research aimed to examine the important role of workgroup mistreatment as an independent predictor of negative outcomes, over and above the influence of supervisor mistreatment. Second, the research aimed to examine the effect of perceived rejection as an explanatory variable linking workgroup mistreatment and outcomes. Finally, the moderating effect of organizational norms on the relationship between workgroup mistreatment and perceived rejection was examined. The relationships of interest were examined over four studies, using multiple methods of data collection, across part-time and full-time working samples. In Study 1 (Chapter 2), the independent role of workgroup mistreatment and the mediating role of perceived rejection were examined. One hundred and forty two part-time working participants took part in the study. The participants completed a questionnaire on workplace behaviors in their organizations. The results of hierarchical regression analyses revealed a strong harmful effect of workgroup mistreatment, independent of mistreatment by the supervisor. In addition, the results showed that perceived rejection fully mediated the relationship between workgroup mistreatment and depression and organizational based self esteem. The study highlighted that perceived rejection acts as a key underlying psychological mechanism involved in the effect of workgroup mistreatment. This study has been published in the Journal of Occupational Health Psychology. Study 2 and Study 3 were presented as one paper in Chapter 3. The aims of these two studies was to explore the effects of workgroup mistreatment on a wider range of individual and organizational level outcomes, and to provide further evidence of the mediating role of perceived rejection as observed in Study 1. The results from both studies demonstrated that workgroup mistreatment had a significant and independent role in predicting negative individual and organizational level outcomes, providing support for the findings of Study 1. In the first study, 189 participants received scenarios manipulating workgroup mistreatment and supervisor mistreatment. The results of hierarchical regression analyses revealed that workgroup mistreatment harmfully affected participants, over and above that of the supervisor. The results also demonstrated that perceived rejection mediated the positive relationships between workgroup mistreatment and depression and organizational deviance, and also the negative relationships between workgroup mistreatment and organizational based self esteem and organizational citizenship behaviors. The second study included an additional aim, to examine the moderating role of supportive organizational norms. Two hundred and twenty nine participants read scenarios that manipulated workgroup mistreatment, supervisor mistreatment and organizational norms. The results of hierarchical regression analyses revealed the significant harmful effects of workgroup mistreatment, over and above the influence of supervisor mistreatment. The results also revealed the mediating role of perceived rejection. The direct effect of positive organizational norms also emerged, consistent with previous research. In addition, the result revealed that employees who experienced supportive organizational norms were more likely to reconcile with their workgroup members after experiencing mistreatment compared to employees who experienced hostile organizational norms. Finally, an unexpected pattern on the key affective variables of depression and organizational based self esteem emerged, such that mistreatment led to more negative outcomes in the supportive norms condition than in the hostile condition, where employees appeared to be desensitized. This paper is currently under review at the Journal of Applied Social Psychology. In Study 4 (Chapter 4), the overall model of workplace mistreatment was tested on a sample of full-time workers in an applied setting. One hundred and seventy two adults took part in the study. Participants were required to evaluate their workplace regarding mistreatment and organizational norms and to report their own psychological, behavioral and organizational outcomes. The results revealed that workgroup mistreatment was associated with increased depression, stress and avoidance, over and above supervisor mistreatment. In addition, the results revealed that perceived rejection acted as an explanatory variable linking workgroup mistreatment to a number of outcomes. Furthermore, the moderating role of hostile organizational norms emerged on depression, stress, reconciliation and avoidance. This paper is currently under review at the Journal of Occupational Health Psychology. Overall, the four studies provided empirical support for the majority of the hypotheses. The effects were demonstrated for a range of psychological, behavioral, and organizational level outcomes, using multiple methods of data collection, across part-time and full-time workers. At the conclusion of the thesis (Chapter 5), an overall summary is provided of the findings across all four studies, practical and theoretical implications and research directions.