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The purpose of this study is to investigate the effects of globalisation on educational institutions in Turkey (to be specific, in the provinces of Amasya, Samsun and Tokat) by means of a series of inquiries carried out among secondary school administrators.

A qualitative method has been used in the study which attempts to lay bare the effects of globalisation on education via questions directed to school principals. A “configured questionnaire” has been employed as the method for collecting data, and all the administrators have been asked the same questions. The configured questionnaire form is made up of six open‐ended questions focusing on the effects of globalisation on education policies.

The findings gathered demonstrate that school administrators entertain different attitudes towards the effects of globalisation.

The most striking upshot is the finding that school administrators do have an awareness of the effects of globalisation, whether they hold a negative or positive stance towards the issue.

This study aims to create a model for defining the best supplier for a company and allocating order that considers sustainability criteria beyond the traditional selection criteria.

In this paper, sustainable supplier Selection and order allocation (SSS and OA) problem is managed based on a multiobjective linear programming (MOLP) model that incorporates sustainability dimensions. First, an interval type-2 fuzzy analytic hierarchy process (FAHP) method is applied for the main criteria and subcriteria to determine the weight of the selected criteria. Then, these values are used to convert the proposed MOLP model into a single-objective model.

The economic criterion (0.438) was the most important criterion for SSS in the agricultural machinery sector, followed by the social criterion (0.333) and the environmental criterion (0.229).

The results show that the proposed framework can be utilized by the agricultural machinery industry for SSS and OA.

The proposed framework provides to develop an integrated model by interval type-2 fuzzy sets for SSS and OA, taking into account the relationships between qualitative and quantitative evaluation criteria with different priorities. The validity of the developed model is confirmed by a case study of the agricultural machinery industry in Turkey.

State policies have played a significant role in shaping the structure of agrarian economy in both advanced and under‐developed capitalist societies.(1) The influence of the state over the rural sector is not simply confined to its agricultural policies but covers a large array of policies and actions that may have direct as well as indirect effects on the rural population. This paper deals with the factors that influence agricultural policies of the state in the specific case of state policies towards Oriental tobacco production in Turkey.