140 resultados para D21 - Firm Behavior


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Using meta-analytic methods on a sample of 74 studies, we explore the links between CPA and public policy outcomes, and between CPA and firm outcomes. We find that CPA has at best a weak effect and that it appears to be better at maintaining public policy than changing them.

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Previous studies have shown that regulated firms diversify for reasons that are different than for unregulated firms. We explore some of these differences by providing a theoretical model that starts by considering the firm-regulator relationship as an incomplete information issue, in which a regulated incumbent has knowledge that the regulator does not have, but the firm cannot convey hard information about this knowledge. The incumbent faces both market and nonmarket competition from a new entrant. In that context, we show that when the firm faces tough nonmarket competition domestically, going abroad can create a mechanism that makes information transmission to the regulator more credible. International expansion can thus be a way to solve domestic nonmarket issues in addition to being a catalyst for growth.

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Plusieurs études suggèrent que les patients qui présentent un premier épisode psychotique et un passé délictueux présenteraient une clinique spécifique et nécessiteraient une prise en charge adaptée. A partir d'une cohorte de patients suivis pour un premier épisode psychotique dans la région de Melbourne {The Early Psychosis Prevention and Intervention Centre), nous avons analysé la prévalence d'actes délictueux dans leur passé (1), les caractéristiques cliniques à leur admission (2), l'évolution à court terme des patients ayant commis des délits par rapport aux autres patients (3). Nous avons également cherché à déterminer si des délits plus graves (atteinte à l'intégrité d'une personne) étaient corrélés à des caractéristiques cliniques particulières. Sur les 649 patients dont les données ont pu être analysées entre 1998 et 2000, 29% avaient un passé délictueux. Ils étaient en majorité des hommes et présentaient des difficultés sociales et scolaires plus importantes que les autres patients. Ils avaient également recours de manière plus régulière à des substances illicites et commis plus souvent des tentatives de suicide. Le tableau clinique qu'ils présentaient à leur admission dans le programme de soins était plus complexe et l'évolution globalement plus défavorable après 18 mois de traitement. Nous avons relevé aussi que la durée de psychose non traitée était plus longue que celle des autres patients. Enfin, les délits avec atteinte à l'intégrité d'une autre personne étaient plus fréquents en présence d'un insight faible et nécessitaient un plus grand nombre d'hospitalisation. Ces résultats confirment le besoin d'une recherche approfondie dans ce champ de la clinique et de stratégies de prévention et de soins plus spécifiques. Une détection précoce chez les jeunes hommes qui commettent des actes délictueux serait particulièrement importante puisque notre étude suggère que certains d'entre eux seraient dans une phase débutante et non reconnue d'un épisode psychotique. Une intervention plus rapide et adaptée pourrait avoir des conséquences positives à plusieurs niveaux.

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This study examines how plant closure affected individuals' careers and lives about two years after they lost their job. We analyze the displaced workers' reemployment prospects and study for reemployed workers the characteristics of their new jobs in terms of reemployment sectors, wages, and job quality. Additionally, we inquire how workers' sociability and subjective well-being were affected by job loss. Our analysis is based on our own survey conducted in Switzerland in 2011. The survey included the workforce of five manufacturing companies that had closed down two years earlier. We addressed the risk of biases typically prevailing with observational data by complementing it with register data from the public unemployment insurance. Moreover, we use a control group based on matched data from the Swiss Household Panel. We find that workers experience strongly diverging outcomes after plant closure: on the one hand, high proportions of the workers experience a smooth transition after plant closure. More than two-thirds of the workers returned to employment, more than half of them within less than six months. With respect to their social lives, we find that positive changes in relationships with their spouse, family and friends are more frequent than negative changes. On the other hand, for a small group of workers plant closure had a detrimental effect. Close to twenty percent remained unemployed. About ten percent of the workers were long-term unemployed and subsequently often were reemployed in jobs of lower quality. Unemployed workers and workers who dropped out of the labor force were particularly prone to find their subjective well-being decreasing. The most vulnerable subgroup in our study were workers over 55. This result stands in striking contrast to a large body of literature that considers labor market institutions to be primarily biased against young workers. Our findings show that older workers not only take longer to find a job but are also less likely to return to employment. Moreover, if they manage to find a job, they experience the severest cuts in wages and job quality of all cohorts. From a life-course perspective this result is remarkable since it shows that workers are not protected from hardship in their late careers. In light of the current demographic changes this finding may have important policy implications. -- Cette étude analyse l'impact des fermetures d'entreprises sur les travailleurs licenciés. Plus précisément, nous examinons les chances de réinsertion des travailleurs dans le marché du travail et - pour ceux qui l'ont fait avec succès - dans quels secteurs, pour quels salaires et avec quelle qualité d'emploi ils sont réengagés. Nous nous intéressons également aux répercussions engendrées par la perte de l'emploi sur la sociabilité et le bien-être subjectif des travailleurs concernés. Notre analyse se base sur les données d'une enquête que nous avons menée en 2011. Cette enquête cible le personnel de cinq entreprises industrielles suisses qui avaient fermé leurs portes deux ans auparavant. Pour dépasser les biais typiques liés aux données d'observation, nous utilisons en complément des données administratives issues de l'assurance chômage publique. De plus, nous utilisons un groupe de contrôle basé sur des données appariées provenant du Panel Suisse de Ménage. Nos analyses montrent des résultats fortement contrastés. D'un côté, la majeure partie des travailleurs ont vécu une transition professionnelle plutôt facile : plus des deux tiers des personnes ont retrouvé un travail et parmi elles plus de la moitié en moins de six mois. Par rapport aux relations sociales, tant avec leur partenaire, qu'avec les membres de leur famille et leurs amis, les changements expérimentés étaient plus fréquemment positifs que négatifs. De l'autre côté, cependant, pour une petite partie de travailleurs la fermeture de leur entreprise a eu des conséquences très négatives sur leur carrière et leur bien-être. Au moment de notre enquête, presque vingt pourcents des travailleurs étaient au chômage. Les personnes au chômage et celles qui avaient quitté le marché du travail ont été particulièrement affectées par une diminution de leur bien-être subjectif. Les plus vulnérables parmi les travailleurs licenciés étaient ceux qui étaient âgés de plus de 55 ans. Notre analyse montre que les travailleurs âgés ont beaucoup moins fréquemment retrouvé un travail. Pour les personnes de plus de 55 ans qui ont tout de même retrouvé un emploi, la réinsertion a durée plus longtemps, les pertes de salaire étaient plus conséquentes et la diminution de la qualité de l'emploi plus grande que pour les autres cohortes. Au vu des changements démographiques actuels, ce résultat interpellant peut avoir des implications politiques importantes.

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BACKGROUND: Lack of donor organs remains a major obstacle in organ transplantation. Our aim was to evaluate (1) the association between engaging in high-risk recreational activities and attitudes toward organ donation and (2) the degree of reciprocity between organ acceptance and donation willingness in young men. METHODS: A 17-item, close-ended survey was offered to male conscripts ages 18 to 26 years in all Swiss military conscription centers. Predictors of organ donation attitudes were assessed in bivariate analyses and multiple logistic regression. Reciprocity of the intentions to accept and to donate organs was assessed by means of donor card status. RESULTS: In 1559 responses analyzed, neither motorcycling nor practicing extreme sports reached significant association with donor card holder status. Family communication about organ donation, student, or academic profession and living in a Latin linguistic region were predictors of positive organ donation attitudes, whereas residence in a German-speaking region and practicing any religion predicted reluctance. Significantly more respondents were willing to accept than to donate organs, especially among those without family communication concerning organ donation. CONCLUSIONS: For the first time, it was shown that high-risk recreational activities do not influence organ donation attitudes. Second, a considerable discrepancy in organ donation reciprocity was identified. We propose that increasing this reciprocity could eventually increase organ donation rates.

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In this article, we show how the use of state-of-the-art methods in computer science based on machine perception and learning allows the unobtrusive capture and automated analysis of interpersonal behavior in real time (social sensing). Given the high ecological validity of the behavioral sensing, the ease of behavioral-cue extraction for large groups over long observation periods in the field, the possibility of investigating completely new research questions, and the ability to provide people with immediate feedback on behavior, social sensing will fundamentally impact psychology.

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The question of how to quantify insufficient coping behavior under chronic stress is of major clinical relevance. In fact, chronic stress increasingly dominates modern work conditions and can affect nearly every system of the human body, as suggested by physical, cognitive, affective and behavioral symptoms. Since freshmen students experience constantly high levels of stress due to tight schedules and frequent examinations, we carried out a 3-center study of 1,303 students from Italy, Spain and Argentina in order to develop socioculturally independent means for quantifying coping behavior. The data analysis relied on 2 self-report questionnaires: the Coping Strategies Inventory (COPE) for the assessment of coping behavior and the Zurich Health Questionnaire which assesses consumption behavior and general health dimensions. A neural network approach was used to determine the structural properties inherent in the COPE instrument. Our analyses revealed 2 highly stable, socioculturally independent scales that reflected basic coping behavior in terms of the personality traits activity-passivity and defeatism-resilience. This replicated previous results based on Swiss and US-American data. The percentage of students exhibiting insufficient coping behavior was very similar across the study sites (11.5-18.0%). Given their stability and validity, the newly developed scales enable the quantification of basic coping behavior in a cost-efficient and reliable way, thus clearing the way for the early detection of subjects with insufficient coping skills under chronic stress who may be at risk of physical or mental health problems.

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Nonverbal behavior coding is typically conducted by "hand". To remedy this time and resource intensive undertaking, we illustrate how nonverbal social sensing, defined as the automated recording and extracting of nonverbal behavior via ubiquitous social sensing platforms, can be achieved. More precisely, we show how and what kind of nonverbal cues can be extracted and to what extent automated extracted nonverbal cues can be validly obtained with an illustrative research example. In a job interview, the applicant's vocal and visual nonverbal immediacy behavior was automatically sensed and extracted. Results show that the applicant's nonverbal behavior can be validly extracted. Moreover, both visual and vocal applicant nonverbal behavior predict recruiter hiring decision, which is in line with previous findings on manually coded applicant nonverbal behavior. Finally, applicant average turn duration, tempo variation, and gazing best predict recruiter hiring decision. Results and implications of such a nonverbal social sensing for future research are discussed.

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Understanding the basis on which recruiters form hirability impressions for a job applicant is a key issue in organizational psychology and can be addressed as a social computing problem. We approach the problem from a face-to-face, nonverbal perspective where behavioral feature extraction and inference are automated. This paper presents a computational framework for the automatic prediction of hirability. To this end, we collected an audio-visual dataset of real job interviews where candidates were applying for a marketing job. We automatically extracted audio and visual behavioral cues related to both the applicant and the interviewer. We then evaluated several regression methods for the prediction of hirability scores and showed the feasibility of conducting such a task, with ridge regression explaining 36.2% of the variance. Feature groups were analyzed, and two main groups of behavioral cues were predictive of hirability: applicant audio features and interviewer visual cues, showing the predictive validity of cues related not only to the applicant, but also to the interviewer. As a last step, we analyzed the predictive validity of psychometric questionnaires often used in the personnel selection process, and found that these questionnaires were unable to predict hirability, suggesting that hirability impressions were formed based on the interaction during the interview rather than on questionnaire data.

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De nombreuses études ont mis en évidence le fait que les individus étaient prêts à commettre des actes discriminatoires pour autant qu'ils puissent les justifier (Crandall & Eshleman, 2003). Nous proposons de contribuer à la compréhension de ce phénomène grâce au concept de désengagement moral pour des actes discriminatoires (DMD). Nous définissons le désengagement moral comme le fait de justifier ses propres actes immoraux de manière à les rendre acceptable. Ce concept trouve ses origines dans les travaux de Bandura et al. (1996) portant sur les comportements agressifs chez des enfants. Il se compose de huit mécanismes (p.ex. le déplacement de responsabilité). Notre recherche dépasse le cadre théorique développé par Bandura et al. pour inscrire le désengagement moral dans le champ de la discrimination intergroupe. De plus, en conceptualisant le désengagement moral comme une différence individuelle, nous proposons également de présenter les premières étapes du développement d'une échelle permettant de mesurer le DMD. L'échelle de DMD a été développée en trois étapes en suivant la procédure proposée par Hinkin (1998). Tout d'abord, une liste de 72 items a été générée suivant une méthode déductive. Puis, suite à une étude (n = 13) portant sur la cohérence des items vis-à-vis du concept et de ses mécanismes, cette liste a été réduite à 40 items (5 par mécanisme). Enfin, 118 étudiants universitaires ont participé à une étude dans le but de mener des analyses factorielles (exploratoire et confirmatoire), ainsi que de tester les validités convergente, divergente et prédictive de l'échelle. La première partie de cette étude se composait de différentes échelles (p.ex. mesure de personnalité, préjugés anti-immigrés, etc.). La seconde partie de l'étude était une expérience portant sur l'évaluation d'idées de méthodes de sélection (discriminatoire versus méritocratique) des étudiants suisses et étrangers à l'université, ayant pour but de réduire la surpopulation dans les salles de cours. Les résultats obtenus sont prometteurs pour le développement de l'échelle, autant du point de vue de sa structure (p.ex. α = .82) que de sa validité. Par exemple, plus le niveau de DMD des participants était élevé, plus ils étaient favorables à une méthode de sélection discriminatoire des étudiants à l'université. L'ensemble des résultats sera présenté durant la conférence. Nous discuterons également des potentielles contributions de cette échelle pour de futurs projets de recherche. Référence : Bandura, A., Barbaranelli, C., Caprara, G. V., & Pastorelli, C. (1996). Mechanisms of moral disengagement of the exercise of moral agency. Journal of Personality and Social Psychology, 71 (2), 364-374. Crandall, C. S., & Eshleman, A. (2003). The Justification-suppression model of the expression and experience of prejudice. Psychological Bulletin, 129 (3), 414-446. Hinkin, T. R. (1998). A brief tutorial on the development of measures for use un survey questionnaires. Organizational Research Methods, 1 (1), 104.121.

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A long-standing question in biology and economics is whether individual organisms evolve to behave as if they were striving to maximize some goal function. We here formalize this "as if" question in a patch-structured population in which individuals obtain material payoffs from (perhaps very complex multimove) social interactions. These material payoffs determine personal fitness and, ultimately, invasion fitness. We ask whether individuals in uninvadable population states will appear to be maximizing conventional goal functions (with population-structure coefficients exogenous to the individual's behavior), when what is really being maximized is invasion fitness at the genetic level. We reach two broad conclusions. First, no simple and general individual-centered goal function emerges from the analysis. This stems from the fact that invasion fitness is a gene-centered multigenerational measure of evolutionary success. Second, when selection is weak, all multigenerational effects of selection can be summarized in a neutral type-distribution quantifying identity-by-descent between individuals within patches. Individuals then behave as if they were striving to maximize a weighted sum of material payoffs (own and others). At an uninvadable state it is as if individuals would freely choose their actions and play a Nash equilibrium of a game with a goal function that combines self-interest (own material payoff), group interest (group material payoff if everyone does the same), and local rivalry (material payoff differences).

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The fact that individuals learn can change the relationship between genotype and phenotype in the population, and thus affect the evolutionary response to selection. Here we ask how male ability to learn from female response affects the evolution of a novel male behavioral courtship trait under pre-existing female preference (sensory drive). We assume a courtship trait which has both a genetic and a learned component, and a two-level female response to males. With individual-based simulations we show that, under this scenario, learning generally increases the strength of selection on the genetic component of the courtship trait, at least when the population genetic mean is still low. As a consequence, learning not only accelerates the evolution of the courtship trait, but also enables it when the trait is costly, which in the absence of learning results in an adaptive valley. Furthermore, learning can enable the evolution of the novel trait in the face of gene flow mediated by immigration of males that show superior attractiveness to females based on another, non-heritable trait. However, rather than increasing monotonically with the speed of learning, the effect of learning on evolution is maximized at intermediate learning rates. This model shows that, at least under some scenarios, the ability to learn can drive the evolution of mating behaviors through a process equivalent to Waddington's genetic assimilation.