954 resultados para Causal attributions


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Causal mapping can help managers to think through the causal influence between issues, enabling them to base a decision on a more structured consideration. Even in regular meetings, learning and the integration of knowledge from diverse stakeholders can benefit from causal mapping. Four causal mapping meetings with management teams are analysed to assess how managers thought causally about their environment when strategy-making. We found that although managers can use other views to expand their environmental knowledge, some prefer to use familiar information rather than less familiar information. Despite this preference, many managers thought systemically about a raft of related issues. We discuss our findings in the context of regular meetings and offer improvements to the facilitation of group causal mapping.

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This paper proposes, and begins to evaluate, a format of brainstorming-type activity which aims to release the creativity of participants and encourage them to learn about a wider range of issues in more detail. The format does this through providing a two-stage brainstorming session. After the first brainstorm, participants have an opportunity to both piggy-back off other peoples ideas (i.e. create new ideas by synthesising other peoples' ideas into their own perspectives), and share causal links to build a causal map with the brainstormed ideas. Five causal mapping sessions with organisations have been analysed. Findings suggest that ideas shared when piggy-backing are often highly creative and unique for the participant who shared them. Also piggy-backing and causal linking seem to provide effective opportunities for individual learning as participants have time to reflect upon other peoples' perspectives and share their own views on those.

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. FDI, Trade and Growth, a Causal Link? (RP0710) Prof Nigel DRIFFIELD Dr Rakesh BISSOONDEEAL Mayang Pramadhani Non-technical Summary This paper explores the relationship between imports, exports, foreign direct investment and growth. For some time there has been a good deal of debate whether trade and foreign direct investment) FDI are substitutes and complements, with the existing literature generating some rather contradictory findings. We show, for Indonesia that inward FDI and both imports and exports are complementary, and further that FDI causes an increase in trade. This is of particular interest for a country such as Indonesia, that has attracted a high proportion of export-orientated inward investment. This, theoretically at least is associated with an increase in imports, in the form of capital goods and components, but a reduction in imports. We show that the previous literature that fails to find such a relationship does so because both trade and FDI are associated with growth, and previous work ignores these growth effects when seeking to isolate the relationship between trade and FDI.

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Based on the attributional reformulation of learned helplessness theory (Abramson, Seligman, & Teasdale, 1978) and Lazarus and Launier's (1978) primary-secondary appraisal theory of stress, the present study sought to examine teleworkers' reactions to their work-related problems. The role of attributions about the sources, and cognitions about the consesquences, of these problems in promoting positive adaptation was addressed. In particular, it was predicted that teleworkers who made optimistic attributions and cognitions would be more likely to employ problem-focused coping strategies and, as a result, report more positive psychological and job-related outcomes. Based on a survey sample of 192 teleworkers, the results indicated that a tendency to engage in self-blame was related to the use of emotion-focused coping strategies. In turn, there was evidence linking emotion-focused coping strategies to negative outcomes and problem-focused coping strategies to positive outcomes. The results are discussed in relation to attributional approaches to stress which highlight the importance of cognitions about the consequences of negative events. Finally, implications for the training of teleworkers are presented.

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Neuroimaging studies have consistently shown that working memory (WM) tasks engage a distributed neural network that primarily includes the dorsolateral prefrontal cortex, the parietal cortex, and the anterior cingulate cortex. The current challenge is to provide a mechanistic account of the changes observed in regional activity. To achieve this, we characterized neuroplastic responses in effective connectivity between these regions at increasing WM loads using dynamic causal modeling of functional magnetic resonance imaging data obtained from healthy individuals during a verbal n-back task. Our data demonstrate that increasing memory load was associated with (a) right-hemisphere dominance, (b) increasing forward (i.e., posterior to anterior) effective connectivity within the WM network, and (c) reduction in individual variability in WM network architecture resulting in the right-hemisphere forward model reaching an exceedance probability of 99% in the most demanding condition. Our results provide direct empirical support that task difficulty, in our case WM load, is a significant moderator of short-term plasticity, complementing existing theories of task-related reduction in variability in neural networks. Hum Brain Mapp, 2013. © 2013 Wiley Periodicals, Inc.

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Blending insights from the contingency theory, the resource-based view, and the AMO theory, the purpose of this paper is to investigate the HRM-performance causal relationship in the Greek context. The empirical research is based on a sample of 178 organisations operating in the Greek manufacturing sector. Using structural equation modelling the results of the study revealed that the ability to perform (resourcing and development), motivation to perform (compensation and incentives), and opportunity to perform (involvement and job design) HRM policy domains are moderated by business strategies (cost, quality, innovation), and additionally, the motivation to perform is further moderated by managerial style and organisational culture. Further, the results indicate that the impact of HRM policies on organisational performance is fully mediated by employee skills, attitudes, and behaviour. The paper concludes that although the motivation to perform HRM policy domain causes organisational performance, through employee attitudes, it may be supported that organisational performance positively moderates the effectiveness of this HRM policy domain, raising thus the question of reverse causality.

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We investigate the effects of organizational culture and personal values on performance under individual and team contest incentives. We develop a model of regard for others and in-group favoritism that predicts interaction effects between organizational values and personal values in contest games. These predictions are tested in a computerized lab experiment with exogenous control of both organizational values and incentives. In line with our theoretical model we find that prosocial (proself) orientated subjects exert more (less) effort in team contests in the primed prosocial organizational values condition, relative to the neutrally primed baseline condition. Further, when the prosocial organizational values are combined with individual contest incentives, prosocial subjects no longer outperform their proself counterparts. These findings provide a first, affirmative, causal test of person-organization fit theory. They also suggest the importance of a 'triple-fit' between personal preferences, organizational values and incentive mechanisms for prosocially orientated individuals.

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This dissertation addresses how the cultural dimensions of individualism and collectivism affect the attributions people make for unethical behavior at work. The moderating effect of ethnicity is also examined by considering two culturally diverse groups: Hispanics and Anglos. The sample for this study is a group of business graduate students from two universities in the Southeast. A 20-minute survey was distributed to master's degree students at their classroom and later on returned to the researcher. Individualism and collectivism were operationalized as by a set of attitude items, while unethical work behavior was introduced in the form of hypothetical descriptions or scenarios. Data analysis employed multiple group confirmatory factor analysis for both independent and dependent variables, and subsequently multiple group LISREL models, in order to test predictions. Results confirmed the expected link between cultural variables and attribution responses, although the role of independent variables shifted, due to the moderating effect of ethnicity, and to the nuances of each particular situation. ^

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The goal of this study was twofold: (1) to introduce a model explaining how attitudes, subjective norms, internal and external attributions about bribery affect the way managers' deal with bribery in organizations, and (2) to clarify the role of the individualism-collectivism cultural dimension in managers' attributions of employees' behavior related to bribery. Twenty-six internal and external attributions related to bribery were identified through a series of structural interviews with 65 subject matter experts, and then evaluated by three hundred fifty-four (n = 354) Ecuadorian managers. Hierarchical regression analyses indicated that attitudes and external attributions significantly predicted managers' intentions to discipline employees' who accepted a bribe, and that those with a collectivist orientation were more likely to make external attributions of bribery. Implications for the eradication of bribery in organizations are discussed. ^

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This dissertation addresses how the cultural dimensions of individualism and collectivism affect the attributions people make for unethical behavior at work. The moderating effect of ethnicity is also examined by considering two culturally diverse groups: Hispanics and Anglos. The sample for this study is a group of business graduate students from two universities in the Southeast. A 20-minute survey was distributed to master's degree students at their classroom and later on returned to the researcher. Individualism and collectivism were operationalized as by a set of attitude items, while unethical work behavior was introduced in the form of hypothetical descriptions or scenarios. Data analysis employed multiple group confirmatory factor analysis for both independent and dependent variables, and subsequently multiple group LISREL models, in order to test predictions. Results confirmed the expected link between cultural variables and attribution responses, although the role of independent variables shifted, due to the moderating effect of ethnicity, and to the nuances of each particular situation.

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El estudio de las relaciones causales y su expresión lingüística ha sido comúnmente estudiado desde diferentes perspectivas en los años recientes. Sin embargo, pocos estudios han intentado combinar diferentes enfoques para establecer el significado de estas relaciones, y han investigado de manera contrastiva las señales usadas para expresarlas. Este trabajo de fin de master es un proyecto para avanzar el conocimiento en este área mediante la investigación de: a) la posibilidad de caracterizar las relaciones causales en diferentes tipos, usando características que combinan un enfoque funcional y cognitivo; b) los tipos de relaciones causales preferidas en los textos expositivos en inglés y sus traducciones al español; c) las expresiones lingüísticas preferidas para expresar dichas relaciones causales en los textos originales en inglés y sus traducciones al español. La metodología usada en esta investigación se basa en la anotación manual de un corpus bilingüe compuesto de un total de 37 textos expositivos (incluyendo los textos originales en inglés y sus traducciones al español) extraídos del corpus MULTINOT, un corpus de alta calidad, con registros diversificados y multifuncional bilingüe inglésespañol, actualmente compilado y anotado multidimensionalmente por los miembros del grupo de investigación FUNCAP con el proyecto MULTINOT (véase Lavid et al.2015) El estudio se llevó a cabo en cuatro pasos principales: primero, un esquema de anotación para las relaciones causales en inglés y español fue diseñado constando de tres sistemas interrelacionados y sus correspondientes características; tras ello, se compiló un inventario de señales para las relaciones causales en inglés y español, y una categorización en diferentes tipos; seguidamente, el esquema de anotación fue implementado en la herramienta UAM Corpus Tool y el conjunto de textos bilingües fue anotado por el autor de este estudio; finalmente, los datos extraídos de la anotación fueron analizados estadísticamente para comprobar las posibles diferencias entre los textos originales en inglés y sus traducciones al español respecto a la selección del tipo de relación de causa y sus señales. El análisis estadístico de los datos anotados sugiere que los tipos de relaciones de causa preferidos en los textos originales en inglés y son los tipos de contenido y no volitivos, que el orden de aparición de estos tipos de señales preferido es la segunda posición, y las señales más recurrentes usadas para expresar dichas relaciones son las conjunciones, seguidas de los sintagmas verbales. El análisis de las traducciones al español revela un alto grado de similitud con los datos de los textos originales en inglés, lo que sugiere que en las traducciones al español se conservan las preferencias de los textos originales en la mayoría de los casos y que estas elecciones pueden considerarse un indicativo de los textos expositivos en inglés. Proyectos futuros se centraran en el análisis de los textos originales en español para comprobar si las tendencias observadas en los textos originales en inglés y sus traducciones al español son también validas en textos originales en español, y en la especificación de patrones que puede ayudar al análisis automático de estas relaciones

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Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

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Human genetics has been experiencing a wave of genetic discoveries thanks to the development of several technologies, such as genome-wide association studies (GWAS), whole-exome sequencing, and whole genome sequencing. Despite the massive genetic discoveries of new variants associated with human diseases, several key challenges emerge following the genetic discovery. GWAS is known to be good at identifying the locus associated with the patient phenotype. However, the actually causal variants responsible for the phenotype are often elusive. Another challenge in human genetics is that even the causal mutations are already known, the underlying biological effect might remain largely ambiguous. Functional evaluation plays a key role to solve these key challenges in human genetics both to identify causal variants responsible for the phenotype, and to further develop the biological insights from the disease-causing mutations.

We adopted various methods to characterize the effects of variants identified in human genetic studies, including patient genetic and phenotypic data, RNA chemistry, molecular biology, virology, and multi-electrode array and primary neuronal culture systems. Chapter 1 is a broader introduction for the motivation and challenges for functional evaluation in human genetic studies, and the background of several genetics discoveries, such as hepatitis C treatment response, in which we performed functional characterization.

Chapter 2 focuses on the characterization of causal variants following the GWAS study for hepatitis C treatment response. We characterized a non-coding SNP (rs4803217) of IL28B (IFNL3) in high linkage disequilibrium (LD) with the discovery SNP identified in the GWAS. In this chapter, we used inter-disciplinary approaches to characterize rs4803217 on RNA structure, disease association, and protein translation.

Chapter 3 describes another avenue of functional characterization following GWAS focusing on the novel transcripts and proteins identified near the IL28B (IFNL3) locus. It has been recently speculated that this novel protein, which was named IFNL4, may affect the HCV treatment response and clearance. In this chapter, we used molecular biology, virology, and patient genetic and phenotypic data to further characterize and understand the biology of IFNL4. The efforts in chapter 2 and 3 provided new insights to the candidate causal variant(s) responsible for the GWAS for HCV treatment response, however, more evidence is still required to make claims for the exact causal roles of these variants for the GWAS association.

Chapter 4 aims to characterize a mutation already known to cause a disease (seizure) in a mouse model. We demonstrate the potential use of multi-electrode array (MEA) system for the functional characterization and drug testing on mutations found in neurological diseases, such as seizure. Functional characterization in neurological diseases is relatively challenging and available systematic tools are relatively limited. This chapter shows an exploratory research and example to establish a system for the broader use for functional characterization and translational opportunities for mutations found in neurological diseases.

Overall, this dissertation spans a range of challenges of functional evaluations in human genetics. It is expected that the functional characterization to understand human mutations will become more central in human genetics, because there are still many biological questions remaining to be answered after the explosion of human genetic discoveries. The recent advance in several technologies, including genome editing and pluripotent stem cells, is also expected to make new tools available for functional studies in human diseases.