scholarly journals Study of expenditure and stay in the segmentation of the international tourist with religious motivation in Galicia

2021 ◽  
Vol 30 (3) ◽  
pp. 1-18
Author(s):  
Pere Mercadé-Melé ◽  
Jesús Barreal Pernas
Keyword(s):  
Latent Class ◽  
Latent Class Model ◽  
Personal Characteristics ◽  
Local Economies ◽  
Religious Motivation ◽  
International Tourist ◽  
The Social ◽  
Religious Reasons ◽  
International Visitors ◽  
Class Segmentation

Tourist expenditure is an element that is gaining weight in the local economies of many regions throughout the world and that conditions income levels. This has a positive effect on local economies through the diversification of their traditional activities, but it also has an impact on the social and environmental context. This work carries out a latent class segmentation model (Latent Class Model -LCM) in which tourists who travelled to the region of Galicia for religious reasons are segmented in order to differentiate the groups, variables on personal characteristics and also on the activities they carried out were used. Six different groups were obtained by segmentation, showing significant differences between the variables of stay and daily expenditure. The study has important implications for management, as it helps to focus companies according to the attributes of international visitors and to relate them to their levels of expenditure

Impact of Project Manager Competencies on Project Success: Case of Social Projects in the City of Agadir, Morocco

2019 ◽  
Vol 10 (5) ◽  
pp. 456-469
Author(s):  
Habiba Abou Hafs ◽  
◽  
Fadila Boutora ◽  
Keyword(s):  
Leadership Skills ◽  
Personal Characteristics ◽  
Self Esteem ◽  
Project Managers ◽  
Project Manager ◽  
Self Control ◽  
Behavioral Skills ◽  
Professional Characteristics ◽  
The Social ◽  
The City

The question of project manager competencies and especially in social projects is a key issue for social organizations seeking to progress and achieve success. If the manager has an important role to play with regard to the social organization, he’s however dependent on his behavioral, professional and personal capacities. The purpose of this paper is to show, on the basis of a quantitative study carried out among 120 managers of social projects in cooperatives located in the city of Agadir (Morocco), that the success of projects is conditioned by the leadership skills. Consequently, factors related to behavioral skills such as Solidarity; Involvement; Patience; Creativity; Empathy; Motivation; Trust; Commitment; Self-esteem; Transparency; Self-control; Discipline and other factors related to professional characteristics and personal characteristics of project managers prove a positive and significant relationship with the criterion of success studied.

Organization of Individual Counselling of Children Brought up in Foster Families (on the example of the «Family» Centre»)

2020 ◽  
pp. 42-50
Author(s):  
Aygul Fazlyeva ◽  
Aliya Akhmetshina
Keyword(s):  
Interpersonal Relationships ◽  
Personal Characteristics ◽  
Social Situation ◽  
Individual Counseling ◽  
Emotional Instability ◽  
Foster Families ◽  
Individual Counselling ◽  
The Social ◽  
The Family ◽  
The Relationship

Children, brought up in foster families, experience various problems (diffi culties in interpersonal relationships with parents, diffi culties in communicating with peers, emotional instability), which lead to confl icts, quarrels, running away from home, destructive phenomena, etc. One of the eff ective forms of working with children brought up in foster families is individual counselling. Individual counselling is used by various specialists (psychologists, educators, psychotherapists), where a special place is taken by a social educator. His or her activity involves the implementation of social-protective, preventive, educational, informational, advisory functions. In the process of organizing individual counseling, the social educator takes into account the social situation of the family and the child, personal characteristics, social conditions, social and cultural characteristics and the nature of the relationship with the social environment. To organize individual counseling, a social educator needs to master various and eff ective techniques, and take into account a number of recommendations. An analysis of the literature and practical socio-pedagogical experience led to an understanding of the insuffi cient degree of elaboration of this issue. The purpose of this article was the solution to this problem.

scholarly journals Consumer Preferences for Private Label Brand vs. National Brand Organic Juice and Eggs: A Latent Class Approach

2021 ◽  
Vol 13 (13) ◽  
pp. 7028
Author(s):  
Ellen J. Van Loo ◽  
Fien Minnens ◽  
Wim Verbeke
Keyword(s):  
Orange Juice ◽  
Latent Class ◽  
Consumer Preferences ◽  
Latent Class Model ◽  
Organic Food ◽  
Food Products ◽  
Organic Production ◽  
Private Label ◽  
National Brand ◽  
Major Barrier

Many retailers have expanded and diversified their private label food product assortment by offering premium-quality private label food products such as organic products. With price being identified as the major barrier for organic food purchases, private label organic food products could be a suitable and more affordable alternative for many consumers. While numerous studies have examined consumer preferences for organic food, very few organic food studies have incorporated the concept of private labels. This study addresses this research gap by studying consumer preferences and willingness to pay for national brand and private label organic food using a latent class model. Specifically, this study analyzes consumer preferences for organic eggs and orange juice and the effect of national branding versus private label. Findings show heterogeneity in consumer preferences for production method and brand, with three consumer segments being identified based on their preferences for both juice and eggs. For eggs, about half of the consumers prefer private label and organic production, whereas one-quarter clearly prefers organic, and another quarter is indifferent about the brand and the organic production. For orange juice, the majority (75%) prefer the national brand. In addition, one-quarter of the consumers prefers organic juice, and about one-third values both organic and the national brand.

scholarly journals Head-to-head comparison of clustering methods for heterogeneous data: a simulation-driven benchmark

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Gregoire Preud’homme ◽  
Kevin Duarte ◽  
Kevin Dalleau ◽  
Claire Lacomblez ◽  
Emmanuel Bresso ◽  
...  
Keyword(s):  
Hierarchical Clustering ◽  
Latent Class ◽  
Latent Class Model ◽  
Real Life ◽  
Heterogeneous Data ◽  
Mixed Data ◽  
Categorical Variables ◽  
Clustering Methods ◽  
Model Based ◽  
Partitioning Around Medoids

AbstractThe choice of the most appropriate unsupervised machine-learning method for “heterogeneous” or “mixed” data, i.e. with both continuous and categorical variables, can be challenging. Our aim was to examine the performance of various clustering strategies for mixed data using both simulated and real-life data. We conducted a benchmark analysis of “ready-to-use” tools in R comparing 4 model-based (Kamila algorithm, Latent Class Analysis, Latent Class Model [LCM] and Clustering by Mixture Modeling) and 5 distance/dissimilarity-based (Gower distance or Unsupervised Extra Trees dissimilarity followed by hierarchical clustering or Partitioning Around Medoids, K-prototypes) clustering methods. Clustering performances were assessed by Adjusted Rand Index (ARI) on 1000 generated virtual populations consisting of mixed variables using 7 scenarios with varying population sizes, number of clusters, number of continuous and categorical variables, proportions of relevant (non-noisy) variables and degree of variable relevance (low, mild, high). Clustering methods were then applied on the EPHESUS randomized clinical trial data (a heart failure trial evaluating the effect of eplerenone) allowing to illustrate the differences between different clustering techniques. The simulations revealed the dominance of K-prototypes, Kamila and LCM models over all other methods. Overall, methods using dissimilarity matrices in classical algorithms such as Partitioning Around Medoids and Hierarchical Clustering had a lower ARI compared to model-based methods in all scenarios. When applying clustering methods to a real-life clinical dataset, LCM showed promising results with regard to differences in (1) clinical profiles across clusters, (2) prognostic performance (highest C-index) and (3) identification of patient subgroups with substantial treatment benefit. The present findings suggest key differences in clustering performance between the tested algorithms (limited to tools readily available in R). In most of the tested scenarios, model-based methods (in particular the Kamila and LCM packages) and K-prototypes typically performed best in the setting of heterogeneous data.

scholarly journals An ecological latent class model of adolescent risk and protective factors: Implications for substance use and depression prevention

2021 ◽  
pp. 016502542110055
Author(s):  
Benjamin L. Bayly ◽  
Sara A. Vasilenko
Keyword(s):  
Substance Use ◽  
Native American ◽  
Latent Class ◽  
Latent Class Model ◽  
Single Parent ◽  
Low Risk ◽  
Heavy Episodic Drinking ◽  
Health Study ◽  
Adolescent Risk ◽  
Parent Relationship

To provide a comprehensive view of the unique contexts shaping adolescent development in the U.S., we utilized latent class analysis (LCA) with indicators of risk and protection across multiple domains (family, peers, school, neighborhood) and examined how latent class membership predicted heavy episodic drinking, illicit substance use, and depression in adolescence and 6 years later when participants were young adults. Data came from Wave 1 (W1) and Wave 3 (W3) of the nationally representative U.S.-based Add Health study ( N = 6,649; Mage W1 = 14.06; Mage W3 = 20.38; 53.8% female; 56.1% White/European American, 22.8% Black/African American, 9.5% Hispanic, 6.7% Biracial, Asian or Pacific Islander 4.2%, American Indian/Native American 0.7%). A six-class solution was selected with classes named: Two Parent: Low Risk, Two Parent: Relationship Risks, Two Parent: Neighborhood Risks, Single Parent: Low Risk, Single Parent: Relationship Risks, and Single Parent: Multidimensional Risk. Subsequent analyses suggested that adolescent social relationships are particularly important for prevention interventions as the classes marked by substance using peers and a lack of closeness to parents and teachers in adolescence (Two Parent: Relationship Risks and Single Parent: Relationship Risks) had consistently poorer outcomes in adolescence and young adulthood.

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