جستجوی مقالات مرتبط با کلیدواژه "شرکت توسعه نیشکر" در نشریات گروه "مدیریت"

more than 50% of the current costs of an organization are related to purchasing, which includes a large volume of the company's turnover, and by optimizing it, it can provide services with a lower cost and improve the level of competitiveness of the company's product/service. The purpose of this research is to present the optimal purchase model in the sugarcane development company and related industries, as well as to identify the antecedents and consequences of optimal purchase.

This research is among qualitative and quantitative research. In the qualitative part, a semi-structured interview was conducted with experts in the Sugarcane Development Company for data collection, and after conducting 12 interviews, the data were analyzed using a combination of thematic analysis and theoretical coding using Atlas T software. In the quantitative phase, the authors tested the model using structural equation method with the help of PLS software.

In the qualitative part, in order to collect data, the opinions of experts in sugarcane development company and ancillary industries were used. The selection of people in the qualitative section was based on the purposeful and snowball sampling method. In order to ensure the theoretical adequacy of the data, the researcher (12) has conducted an interview.

The results of the qualitative phase of the research showed that the most important antecedents of the optimal purchase model include quality improvement, coding system, order management, budget, human resources management, and competitiveness, management of information and communication technologies, and elimination of unnecessary administrative bureaucracy. In the qualitative section, it was also found that the most important consequences of purchasing optimization include improving performance, productivity, efficiency in production and improving the organizational brand. The results of the quantitative phase of the research also indicate the appropriate fit of the presented model.