Family is regarded as the foundation having the primary responsibility in both supporting individual's care and development, and values education. Individuals first start to acquire values from their families, and views of the individuals reflect on their behaviors and attitudes. Thus, in this study, it has been aimed to analyze views of the adults about family values according to some personal variables. The study was designed in accordance with descriptive survey model. Sample group of this study composed of 201 participants over the age of 18. While gathering the data, there was used the Family Values Scale. The data was analyzed through t-test and One-way Analysis of Variance (ANOVA). As a result, it has been detected that gender, age, education, job and number of children have effect on family values. It has been found that scores of the females are significantly higher than males' in the sub-dimensions of Decision-making Process, Marital View, Roles of the Women, Emotional Bond, and Violence; and scores of the males are significantly higher than females' in the sub-dimension of Mother-Child Relationship. It has been discovered that scores of the Mother-Child Relationship sub-dimension is significantly higher in individuals at the age of 30 and below than individuals at the age of 31 and above. Also, it has been found that scores of the Violence sub-dimension is higher bachelor's degree than primary school graduates; and scores of Marital View and Roles of the Women sub-dimensions are higher for the adults having professional occupations than the adults being civil servant or having no job. For those having 3 or more children, it is found that scores of View of Sexuality sub-dimension are significantly much higher than those having only one child. While the scores of Mother-Child Relationship sub-dimension are significantly lower for those having 2 children, it has been found that scores of Relationship with Relatives sub-dimension are significantly lower for those having no child.
In today’s intensive competition conditions, it is an inevitable necessity for the companies operating in the e-commerce sector to manage their physical distribution processes efficiently and effectively. The most important step in e-commerce logistics processes is the last step delivery operations in the city. In order for these operations to be carried out quickly and efficiently, delivery vehicles and personnel must be optimally led. These problems, referred to as vehicle routing problem (VRP) in the literature, include determining the least cost routes that vehicles will cover to meet customer needs. In this study, the urban delivery problems of the enterprises operating in the online retail sector are examined. In line with these problems, VRP for urban e-commerce deliveries has been modified; open, multi-depot, distribution aggregation, time-window VRP is discussed. A mathematical model for the modified VRP has been developed and a new heuristic algorithm consisting of two stages has been developed for large-scale problems. The developed algorithm was tested on three different cases. The results are compared with the solution of the nearest neighbor method and the performance of the proposed algorithm is presented.
In parallel with the developments in the yachting sector, the need for qualified yacht masters has increased. Their qualifications are important not only for meeting customers’ demands but also for ensuring maritime safety. In this direction, they play an important role in the sustainability of the sector. However, unlike other seafarers, there is a wide variation in the certification categories and training of countries due to the lack of a worldwide standard. Therefore, the equivalence of qualifications between different countries is indeed a confusing problem. It is especially important to identify similarities for the sake of harmonization and standardization efforts. In this regard, this study aims to analyze the similarities of qualifications for operating commercial yachts. First, licenses that are similar to each other in terms of a category are identified based on proficiency, distance limitations, and vessel sizes. Then, the similarity of their training is detected based on given courses. Towards this aim, a methodology based on hierarchical clustering methods is used. As a result, the levels of similarity between licenses, including internationally recognized licenses, are discussed to reveal the current situation. In addition, a classification method is proposed for standardization of the yacht license categories.
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