Search results for "attribut"
showing 10 items of 355 documents
L'attribution des classes aux enseignants : le cas des écoles primaires
2007
Assigning teachers to classrooms: The case of French primary schools - This paper reports a study which focused on teachers'assignment in French elementary school whose headmasters have no decision-making powers. Using both in-depth interviews with 18 headmasters and data about teachers and classrooms within their schools, the analysis shows that the potential for problems is significant as far as teachers are sorted into classrooms based on their preference first. When those individual preferences compete, a few basic rules apply and some arrangements should be found amongst members of the staff. Actually, this study reveals that bargaining, or at times yielding to teachers'preferences abo…
Sustainable Value Creation in the Food Chain: A Consumer Perspective
2020
The growth of diet-related diseases is becoming an important societal concern and a challenge for a more sustainable society. This has developed important trends in food consumption, including the increasing demand for food with a natural attribute and with health claims (e.g., enriched food). Consumers tend to evaluate these two attributes as superior ones and tend to pay a premium price for them. Accordingly, the value added by producers also will upturn if they take into consideration the consumers&rsquo
Board of director attributes: effects on financial performance in SMEs
2021
This paper analyses the relationship between board of director (BoD) attributes and financial performance in small and medium-sized enterprises (SMEs). Although SMEs are the backbone of world economies, most studies on this relationship focused on large companies and did not consider many typical or recommended processes and activities carried out by SME BoDs. We monitored a set of variables related to BoD attributes such as composition, characteristics, structure and processes for 184 Italian SMEs along with their financials over a 4-year period (2014–2017). We controlled for enterprise-specific characteristics such as annual sales growth, assets value, sales turnover, leverage, com pany s…
L'intervention des représentants du personnel en cas de « grand » licenciement collectif dans une entreprise en difficulté
2014
International audience; Retour sur le jugement du tribunal administratif de Montreuil du 20 décembre 2013
Assessing the performance of GIS- based machine learning models with different accuracy measures for determining susceptibility to gully erosion
2019
Assessing the performance of GIS- based machine learning models withdifferent accuracy measures for determining susceptibility togully erosionYounes Garosia, Mohsen Sheklabadia,⁎, Christian Conoscentib, Hamid Reza Pourghasemic,d, Kristof Van Ooste,faFaculty of Agriculture, Department of Soil Science, Bu Ali Sina University, Ahmadi Roshan Avenue, 6517838695 Hamedan, IranbDepartment of Earth and Sea Sciences (DISTEM), University of Palermo, Via Archirafi22, 90123 Palermo, ItalycCollege of Marine Sciences and Engineering, Nanjing Normal University, Nanjing, 210023, ChinadDepartment of Natural Resources and Environmental Engineering, College of Agriculture, Shiraz University, Shiraz, IraneA- Fo…
Cognition and affect: A factors combination in clients dissatisfied with restaurants
2010
On the basis of an extensive literature review of the principal theories that explain consumer dissatisfaction, we try to analyse the effect of a set of cognitive and affective variables on dissatisfaction. Cognitive variables examined were performance, expectations, disconfirmation, causal attributions and inequity. Negative affects were considered as emotional variables. We developed an empirical research to examine customer dissatisfaction with restaurants. The results indicate that the best combination of variables to estimate dissatisfaction judgements is ‘performance–inequity–norms disconfirmation–attributions’. Therefore, dissatisfaction has a greater cognitive content because negati…
The atractiveness and competitiveness of tourist destinations: A study on Southern Italian regions
2009
The present paper aims to assess the relative attractiveness of competing tourist destinations on the basis of individual visitors' perceptions regarding a holiday destination. Using the feeling of tourist well-being achieved by individual tourists we evaluate indirectly the competitive ability of the tourist area to offer a compound tourist site attractiveness. The methodology employed here uses individual survey questionnaires on the tourists' evaluation of the quality of tourist facilities and attributes in a given area (the 'regional tourist profile') as the basis for constructing an aggregate expression for the relative attractiveness of that area. Using various multidimensional statis…
Vers une Europe des bourses ?
1998
International audience
The dynamics of motivation, emotion, and task performance in simulated achievement situations
2020
Abstract This study aimed to examine associations between motivation, emotion, and task performance in simulated achievement situations. A group of sixth grade students (n = 190) completed an achievement task. Situational information on task value, success expectations, emotions, effort, task performance, and causal attributions was collected and information on subsequent academic achievement was obtained from school registers. The results showed, first, that high task value, high expectancy of success, and high positive emotions before a task contributed to a higher level of effort during the task. This, in turn, was related to better task performance. Second, high expectancy of success pr…
A First Experiment on Including Text Literals in KGloVe
2018
Graph embedding models produce embedding vectors for entities and relations in Knowledge Graphs, often without taking literal properties into account. We show an initial idea based on the combination of global graph structure with additional information provided by textual information in properties. Our initial experiment shows that this approach might be useful, but does not clearly outperform earlier approaches when evaluated on machine learning tasks.