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This study aimed to investigate the relationship between teachers' perceptions on diversity perspectives in schools and their happiness at work (HAW) levels.

A correlational survey model was used in the study, and the stratified sample consisted of 768 teachers in public high schools in a province in the west of Turkey.

The result of hierarchical regression analysis showed that integration-and-learning, colour blindness and fairness diversity perspectives significantly predicted HAW. However, reinforcing homogeneity and access perspectives did not predict HAW. While positive affect, one of the dimensions of HAW, was predicted by integration-and-learning, colour blindness and fairness perspectives, negative affect was predicted by integration-and-learning and colour blindness perspectives. Moreover, fulfilment, the other dimension of HAW, was predicted by integration-and-learning and fairness perspectives.

School administrators can use the findings to increase teacher happiness at schools, developing proactive diversity management perspectives.

The purpose of this study is to determine barriers to intergenerational learning.

The research design is phenomenological, which is a qualitative research method. The study was carried out in a large-scale production facility in the Central District of Kocaeli, Turkey, and the study group of the research consists of 61 participants determined using the maximum diversity technique, one of the purposeful sampling techniques. Significant attention was paid to the examination of employees from all levels and every generation within the hierarchical structure of the company while selecting the working groups for the study. Data were collected through semi-structured interviews, and content analysis method was applied in the analysis of the data. Participants were questioned about barriers to their prejudices.

As a result of the research, it was observed that barriers “to being a leader for intergenerational learning” were gathered under three distinct themes: personal factors, relational factors and managerial factors. The most frequently stated subthemes of these were: “seeing knowledge and experience as a power” and “lack of job commitment and motivation” under personal factors, “communication problems” under relational factors and “insufficient support or not being supported or encouraged by management” under managerial factors.

This study should be of interest to researchers interested in educational organization use of barriers to intergenerational learning: a case of a workplace in Turkey, use of intergenerational learning by organization and management.

The purpose of this paper is to characterize the agricultural activities and past experiences in professional training in the context of mobile learning in different countries (Portugal, Spain, Slovakia, Hungary, UK, Italy and Turkey).

For the survey, a questionnaire was prepared in English and Portuguese and then translated into the languages of the participating countries. It was delivered electronically for answering online by adults only. The participation was voluntary and in the end 133 consented valid questionnaires were obtained. For the treatment of the data, SPSS was used and basic descriptive statistics tools were applied, together with tests, namely, crosstabs and χ² tests, considering a level of significance of 5 percent.

The results showed that the majority of the participants presently have some agricultural activity and one-third is thinking about starting one in the future. Most of the participants want to produce food organically, with significant differences among the countries studied in this paper. Most of the participants were enrolled in training activities in agriculture, especially those with higher education. This participation showed significant differences between countries as well as according to the dimension of the farms owned by the participants. A significant association was found between being a teacher in forming activities related to agriculture and being a farmer. When compared to distance learning, the training activities in classroom were the most frequent, with significant differences among the countries.

This study allowed characterizing the learning activities in the field of organic agriculture and established vision for planning of future training programs, in different countries, with maybe different social, educational and cultural realities.

Because the study included the participation of people from several countries all around Europe, the results obtained enrich the scientific area of training in organic farming, in view of distance learning vs classroom learning on a more global basis.

The purpose of this paper is to obtain information to characterize potential trainees seeking training programs about organic farming in the form of mobile learning. This information is expected to allow for establishing a set of guidelines to design mobile training opportunities that could match the potential clients’ wishes.

For this survey an on-line questionnaire was used, translated into the languages of the participating countries (Portugal, Spain, Slovakia, Hungary, UK, Italy and Turkey), and in the end 133 consented valid questionnaires were obtained. The data analysis was made with SPSS and included basic descriptive statistics, crosstabs and χ2 tests, considering a level of significance of 5 per cent.

The results obtained in the present study indicate that designing training programs in organic farming for a wide target population should attend to the differences between countries, which showed to significantly influence the preferences of the possible clients for this type of training.

This study provided valuable information for use in the preparation of training programs for adults who want to expand their knowledge on organic farming, in order to prepare courses more in accordance with their preferences.

The fact that the study was undertaken in several countries, including North, Central and South Europe, is a positive indicator that globally accepted courses could be implemented successfully. To the knowledge no such work was undertaken up to the present, thus confirming the originality of the study presented.

This research focuses on suggesting an optimized model for selecting best employees using advanced multi-criteria decision making method to a supply chain firm, who is planning to start a new cold chain business vertical.

Study has been conducted in a supply chain firm in North India, who wants to expand its business with the help of efficient team members. In total 38 applicants were considered for the study, as selected by the firm after initial screening from pool of talent. AHP-LP and TOPSIS-LP integrated approach were applied separately for evaluation and implementation of personnel selection model. Further, both the approaches were compared to find the best fit and optimized model.

As per the findings, both AHP and TOPSIS can be used to select the best candidate among the alternatives available. TOPSIS was found easier to implement as it involves ranking of applicants with respect to each skills required for respective job profile only once, whereas AHP involves pair-wise comparison among candidates with respect to each skills required for respective job profile and normalization of each comparison, resulting in the formation of number of comparison matrices. However, AHP is more reliable as it considers consistency check for each level of pair-wise comparison. Hence, there is a chance to avoid or revise the human judgment error. Integrated ranking and optimization approach minimizes the cost by suggesting the relevant positions to be filed to make an efficient team.

Group of interviewers are involved in the decision-making process, hence there are chances of biasness in ranking method which can influence the group decision. Research is limited to a particular geography of North India therefore needs to be tested for other regions also in order to generalize. The research will help the third party logistics (3PL) and other related firms in efficient team selection.

The researcher focuses on formalizing a method for potential candidate selection by considering the constraints of the organization. It has been observed that limited researches have been done on the application of AHP-LP or TOPSIS-LP integrated approach for selection process. Hence, this research proposes two integrated ranking-optimization method and suggests the best fit by comparing both the approaches.

This study aims to determine the ranking of the 81 provinces at the NUTS-3 level in Turkey with respect to the personal satisfaction and public services satisfaction by applying Fuzzy Multi-Criteria Decision-Making methods to the Life Satisfaction Survey Results.

Fuzzy TOPSIS, Fuzzy MULTIMOORA and Fuzzy ARAS are implemented to assess life satisfaction of the individuals who lived in provinces, based on Life Satisfaction Survey 2013 for Turkey’s national comparison. In the solution process, 14 indicators for personal satisfaction and 38 indicators for public services satisfaction were considered.

The results showed that personal health satisfaction, earnings from work satisfaction and monthly income satisfaction are the most important criteria in terms of personal satisfaction. Also, healthcare services satisfaction, judicial services satisfaction and education services satisfaction have the highest importance in terms of public services satisfaction. The final ranking of the 81 provinces is obtained by considered methods. According to the ranking results, there is no significant difference between the east and the west part of Turkey in terms of personal satisfaction, whereas there is a distinct difference between them in terms of satisfaction with public services.

This study is the first research for evaluating the ranking of the provinces at the NUTS-3 level in Turkey according to the Life Satisfaction Survey 2013 results considering 14 indicators for personal satisfaction and 38 indicators for public services satisfaction by using FMCDM approaches that have not been applied before.