人格特征对销售员绩效的预测

This research aims to discuss it is the complexity of interpersonal association and job autonomy that influence the predictive validity of personality for job performance. In addition, for service profession, incumbents' personality can predict not only contextual performance, but also task performance. Salesclerks in shopping center and life insurance agents are selected as subjects. The job performance rating scale is produced by using Critical Incidents Technique. The research method is measuring NEO-PI and collecting direct supervisors' rating of salespeople's job performance. The research results are as follows: 1. The factor analysis result of job performance is different from the west. That is to say, the support for organizations which belongs to contextual performance in the west can not be distinguished from task performance. Therefore, in China, or to say in the shopping center selected, task performance includes both technical proficiency and the support for organizations, and contextual performance includes job dedication and interpersonal facilitation. 2. For salespeople, personality can be the antecedent of contextual performance and task performance as well. However, the predictive validity for task performance is very low. 3. The more complexity of interpersonal association, the stronger relationship between personality and job performance. 4a. The correlation between job performance and facets of Big Five is higher than the one between job performance and factors of Big Five, such as Agreeableness, whose facets have different impacts on job performance, some positive and others negative. 4b. The correlation between personality and the items of job performance rating scale is higher than the one between personality and the factors of job performance. 4. Working experience is the moderator of the relationship between personality and job performance. For salesclerks, only if the working experience of subjects is less than 3 years, achievement striving-one facet of conscientiousness-is significantly correlated with the ratio of finished sales volume at 0.01 level.

Amorphous Placement and Informed Diffusion for Timely Monitoring by Autonomous, Resource-Constrained, Mobile Sensors

Personal communication devices are increasingly equipped with sensors for passive monitoring of encounters and surroundings. We envision the emergence of services that enable a community of mobile users carrying such resource-limited devices to query such information at remote locations in the field in which they collectively roam. One approach to implement such a service is directed placement and retrieval (DPR), whereby readings/queries about a specific location are routed to a node responsible for that location. In a mobile, potentially sparse setting, where end-to-end paths are unavailable, DPR is not an attractive solution as it would require the use of delay-tolerant (flooding-based store-carry-forward) routing of both readings and queries, which is inappropriate for applications with data freshness constraints, and which is incompatible with stringent device power/memory constraints. Alternatively, we propose the use of amorphous placement and retrieval (APR), in which routing and field monitoring are integrated through the use of a cache management scheme coupled with an informed exchange of cached samples to diffuse sensory data throughout the network, in such a way that a query answer is likely to be found close to the query origin. We argue that knowledge of the distribution of query targets could be used effectively by an informed cache management policy to maximize the utility of collective storage of all devices. Using a simple analytical model, we show that the use of informed cache management is particularly important when the mobility model results in a non-uniform distribution of users over the field. We present results from extensive simulations which show that in sparsely-connected networks, APR is more cost-effective than DPR, that it provides extra resilience to node failure and packet losses, and that its use of informed cache management yields superior performance.

Project Manager

Le projet de construction au XXIe siècle :nouveaux acteurs, nouvelles responsabilités. L’apparition de nouveaux intervenants dans les projets de contruction bouleverse le schéma classique Maître d’ouvrage – Architecte – Entrepreneur. Parmi ceux-ci, le Project Manager occupe une place de premier rang, dès lors qu’il interviendra bien souvent dès l’entame du projet et jusqu’à complétion de celui-ci. L’ouvrage offre une première analyse complète de sa situation juridique, en mêlant littérature juridique (belge, française et américaine) et pratique de terrain. Envisagé ici à travers le prisme de sa relation contractuelle avec le Maître d’ouvrage, le Project manager reçoit une définition légale d’où sont déduits les éléments essentiels de se son contrat. Son statut, ses missions ainsi que ses responsabilités sont identiés précisément et articulés harmonieusement avec ceux d’autre professionnels (arhitectes et entrepreneurs). Spécialement sur la question des reponsabilités, l’ouvrage démontre que certains cas de responsabilité traditionnellement imputés à l’un de ces autres acteurs pourront être imputés au Project Manager, allant dans le sens d’un régime unifié de responsabilité pour l’ensemble de ces acteurs. L’ouvrage s’enrichit encore d’un modèle contractuel de base et d’une bibliographie.Incontestablement, l’ouvrage vient combler un vide doctrinal et constituera un guide essentiel, tant pour les Maîtres d’ouvrage que pour les Project Manager.

The influence of gender in the direction of Spanish cooperative societies on profitability and indebtedness: an empirical analysis

In this paper the claim for the market for a new business management to ensure the presence of women in decision -making to respond to new social needs addressed. Thus, this paper analyzes the influence of gender diversity of the directors on the profitability and the level of debt for a sample of 5,199 Spanish cooperatives. Unlike capitalist societies, these organizations have a number of peculiarities in their government, and that the partners are themselves major time, agents and customers. The study focuses on the Spanish context, where there is an open debate on the importance of women's business management, as in other countries, driven by the proliferation of legislation on gender equality, being, in addition, Spain, the pioneer in having specific legislation on Social Economy. The results show that cooperatives with greater female representation in theirs Boards have higher profitability. On the other hand, those Boards with a higher percentage of women show a lower level of indebtedness.

Effects of the Interaction Between Reaction Component of Personal Need for Structure and Role Perceptions on Employee Attitudes in Long-Term Care for Elderly People

This study examined the interaction of reaction component of personal need for structure (reaction to lack of structure, RLS) and role perceptions in predicting job satisfaction, job involvement, affective commitment, and occupational identity among employees working in long-term care for elderly people. High-RLS employees experienced more role conflict, had less job satisfaction, and experienced lower levels of occupational identity than did low-RLS employees. We found individual differences in how problems in roles affected employees' job attitudes. High-RLS employees experienced lower levels of job satisfaction, job involvement, and affective commitment, irrespective of role-conflict levels. Low-RLS employees experienced detrimental job attitudes only if role-conflict levels were high. Our results suggest that high-RLS people benefit less from low levels of experienced role conflicts.

Non-parametric bill of quantities estimation of concrete road bridges' superstructure: an artificial neural networks approach

Bridge construction responds to the need for environmentally friendly design of motorways and facilitates the passage through sensitive natural areas and the bypassing of urban areas. However, according to numerous research studies, bridge construction presents substantial budget overruns. Therefore, it is necessary early in the planning process for the decision makers to have reliable estimates of the final cost based on previously constructed projects. At the same time, the current European financial crisis reduces the available capital for investments and financial institutions are even less willing to finance transportation infrastructure. Consequently, it is even more necessary today to estimate the budget of high-cost construction projects -such as road bridges- with reasonable accuracy, in order for the state funds to be invested with lower risk and the projects to be designed with the highest possible efficiency. In this paper, a Bill-of-Quantities (BoQ) estimation tool for road bridges is developed in order to support the decisions made at the preliminary planning and design stages of highways. Specifically, a Feed-Forward Artificial Neural Network (ANN) with a hidden layer of 10 neurons is trained to predict the superstructure material quantities (concrete, pre-stressed steel and reinforcing steel) using the width of the deck, the adjusted length of span or cantilever and the type of the bridge as input variables. The training dataset includes actual data from 68 recently constructed concrete motorway bridges in Greece. According to the relevant metrics, the developed model captures very well the complex interrelations in the dataset and demonstrates strong generalisation capability. Furthermore, it outperforms the linear regression models developed for the same dataset. Therefore, the proposed cost estimation model stands as a useful and reliable tool for the construction industry as it enables planners to reach informed decisions for technical and economic planning of concrete bridge projects from their early implementation stages.