164 resultados para Big Five

em Deakin Research Online - Australia


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Despite considerable research on personality and "hedonic" or subjective well-being, parallel research on "eudaimonic" or psychological well-being is scarce. The current study investigated the relationship between the Big Five traits and subjective and psychological well-being among 211 men and women. Results indicated that the relationship between personality factors and psychological well-being was stronger than the relationship between personality factors and subjective well-being. Extraversion, neuroticism, and conscientiousness correlated similarly with both subjective and psychological well-being, suggesting that these traits represent personality predispositions for general well-being. However, the personality correlates of the dimensions within each broad well-being type varied, suggesting that the relationship between personality and well-being is best modeled in terms of associations between specific traits and well-being dimensions.

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The aim of this study was to explore the relationship between consumer personality and brand personality as measured by constructs refl ecting The Big Five dimensions in the context of fashion products. The fi ndings of the study show that some dimensions of The Big Five constructs are signifi cantly related to preferences on particular dimensions of brand personality. It was found that consumers who exhibit a Conscientious personality demonstrate preferences towards ‘ Trusted ’ brands. In contrast, those who are Extrovert in nature are motivated by ‘ Sociable ’ brands. Findings related to gender reveal that male and female consumers differ in how they express their personality when it comes to brand personality. Male respondents who are dominant on the Neuroticism dimension prefer ‘ Trusted ’ brand, whereas ‘ Trusted ’ brand is preferred by females who are dominant on the Conscientiousness dimension. The results of this study will inform brand managers about how to tailor specifi c marketing strategies such that brand personalities communicated to consumers are congruent with their personalities.

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In recent years major European clubs have become conscious of the need to develop a wider, more global approach to their existence in order to increase revenues. There have increasingly been developments involving clubs attempting to forge relationships with major Asian markets. The essay focuses on factors influencing the international trade of input (talent) and output (football TV programmes) – covering both the supply and the demand sides. It illustrates how the development in recent years has widened the revenue gaps between the ‘big five’ European nations and the rest of the world – and its consequences for the distribution of talent in the football world.

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Having an eye catching and attractive website could help hotels to compete in the vigorous online market. This study attempts to examine the relationship between human personality and the web design preferences. Kohonen Networks were adopted to cluster people with similar personality characteristics and identify their differences on web design preferences. Empirical results indicated people with similar personality traits have similar design preferences. For example, to attract those who got high scores in agreeableness, conscientiousness and openness but low score in neuroticism, a web page should start with a language selection page with introductory movie, one large image on the web page showing hotel interior design with hotel guest in the photo, and with background music.

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This article aims to discover the differences among consumer personality clusters in regard to their extent of fashion consciousness and prestige sensitivity. Data were collected from 251 undergraduate students using self-administered questionnaires. Cluster analysis and MANOVA were employed to assess whether significant differences exist among four personality clusters. The study used the Big Five scale items to measure consumer personality and found that respondents who score low on the “openness to experience” dimension tend to be less prestige sensitive, and those who score high on “extraversion,” “agreeableness,” and “conscientiousness” tend to be highly fashion conscious.

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There have been a significant number of studies that investigate the antecedents to customers in forming their brand preferences. However, there is a dearth of research devoted to examining the role of customer personality in marketing. This conceptual paper attempts to cover this gap through examining the relationships between consumer personality and brand preference. We developed a conceptual model which is based on the Big Five theory of personality and show how this could be applied to the marketing context. It is proposed that human personality has a significant relationship with brand preferences.

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The purpose of this review is to evaluate the evidence for an association between the Big Five dimensions of personality, dietary intake, and compliance to dietary recommendations. Poor diet is a known risk factor for overweight and obesity and associated chronic lifestyle diseases and it has been proposed that personality may be linked to dietary choices. Findings from cross-sectional surveys from different countries and cultures show a positive association between Openness and consumption of fruits and vegetables and between Conscientiousness and healthy eating. Although no evidence has been found that personality dimensions are associated with adherence to dietary recommendations over time, Conscientiousness is associated with a number of prosocial and health-promoting behaviors that include avoiding alcohol-related harm, binge-drinking, and smoking, and adherence to medication regimens. With emerging evidence of an association between higher Conscientiousness and lower obesity risk, the hypothesis that higher Conscientiousness may predict adoption of healthy dietary and other lifestyle recommendations appears to be supported.

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Software testing is the process of an execution based investigation of some aspects of the software's quality. The efficiency of the process depends on the methods and technologies used, but crucially also on the human testers. Software testers typically attempt to anticipate and expose ways software may be defective, a fundamentally different task set to those of other software development practitioners. This raises the question of whether the personality of software testers may be different to other people involved in software development. To test this hypothesis, we collected personality profiles using the big five factor model of around 200 software development practitioners. Analysis of this data indicates that software testers are significantly higher on the conscientiousness factor than other software development practitioners, while other factors remain broadly consistent.

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As people have unique tastes, the way to satisfy a small group of targeted customers or to be generic to meet most people's preference has been a traditional question to many fashion designers and website developers. This study examined the relationship between individuals' personality differences and their web design preferences. Each individual's personality is represented by a combination of five traits, and 15 website design-related features are considered to test the users' preference. We introduced a data mining technique called targeted positive and negative association rule mining to analyze a dataset containing the survey results collected from undergraduate students. The results of this study not only suggest the importance of providing specific designs to attract individual customers, but also provide valuable input on the Big Five personality traits in their entirety.

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The aim of this study was to examine possible relationships between religious/spiritual well-being (RSWB), the Big Five personality factors, and stress coping strategies among Bosnian young adults. Therefore, a first Bosnian translation of the Multidimensional Inventory of Religious/Spiritual Well-being was applied on a sample of 290 (181 females) Bosnian undergraduate students. RSWB dimensions such as hope, forgiveness, or general religiosity were found to be substantially related with more favorable personality dimensions as well as with more adequate stress coping. As a conclusion RSWB dimensions were confirmed as being an important resource for mental health for this sample of Bosnian adolescents.

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This paper explores the use of purchasing power parity (PPP) in the comparison of construction costs between different countries, and whether the development of construction-specific indices will improve reliability.

The approach adopted is to compare the construction cost of a typical five star international hotel per square metre in each of ten major cities using a range of PPP methods and to comment on their variability. In particular, this paper looks at whether an index based on the price of a McDonalds Big Mac3 hamburger is a viable alternative when compared against the mainstream methods. The recent publication of construction-specific indices as part of the Eurostat-OECD joint PPP program is also compared against generic indices and the discrepancy is calculated.

The paper concludes with reflections about which approach is preferable when attempting to assess global construction relativities and what further research is needed.

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In this paper we will argue that the dominant discourse on young males 'at risk' focuses too narrowly on the adolescent and young adult years. There is a tendency to individualise, both practically and theoretically, behaviours that are thought to substantiate the application of this category. Against this backdrop, we report on a study undertaken with a group of 6-8 year old boys in a primary school setting. The research was compiled around the interactions of an 'affinity group' of five young males across a six-month period. Prominent in our discussion of this data will be, the contextual nature of behaviour and identity, the influential role of the peer group, and the desire to 'other' in defining the self. We conclude by considering some of the implications this work has for the way mainstream schooling is structured and practiced.

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Objective: This study assessed the degree to which NEO-PI-R facets contribute to understanding of Type D personality over and above the Big 5. Method: Healthy participants (n = 268) completed the DS14 and the NEO-PI-R. In addition to analyzing the Type D subscales of social inhibition and negative affectivity, we computed a continuous measure of Type D scored as the sum of the two subscales. Results: Facets provided moderate incremental prediction of Type D subscales. The facets of assertiveness, self- consciousness, and positive emotion provided incremental prediction of negative affectivity, and warmth, activity, and gregariousness provided incremental prediction of social inhibition. Facets provided minimal incremental prediction of continuous Type D. The Big 5 explained substantially more variance in continuous Type D (71%) than negative affectivity (59%) or social inhibition (61%). Conclusions: Overall, the facet-level analysis provided additional insights into the nature of Type D. The incremental prediction of the Type D subscales by facets supported the idea that Type D scales are narrower constructs than the Big 5. However, the strong prediction of continuous Type D by the Big 5 and the lack of incremental prediction by facets points to the overall Type D construct being well represented by the Big 5.

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Clustering of big data has received much attention recently. In this paper, we present a new clusiVAT algorithm and compare it with four other popular data clustering algorithms. Three of the four comparison methods are based on the well known, classical batch k-means model. Specifically, we use k-means, single pass k-means, online k-means, and clustering using representatives (CURE) for numerical comparisons. clusiVAT is based on sampling the data, imaging the reordered distance matrix to estimate the number of clusters in the data visually, clustering the samples using a relative of single linkage (SL), and then noniteratively extending the labels to the rest of the data-set using the nearest prototype rule. Previous work has established that clusiVAT produces true SL clusters in compact-separated data. We have performed experiments to show that k-means and its modified algorithms suffer from initialization issues that cause many failures. On the other hand, clusiVAT needs no initialization, and almost always finds partitions that accurately match ground truth labels in labeled data. CURE also finds SL type partitions but is much slower than the other four algorithms. In our experiments, clusiVAT proves to be the fastest and most accurate of the five algorithms; e.g., it recovers 97% of the ground truth labels in the real world KDD-99 cup data (4 292 637 samples in 41 dimensions) in 76 s.