Value Co-creation

The current research was conducted with the aim of providing a conceptual framework for the development of relations with suppliers in Abadan Oil Refining Company. The research method is qualitative and based on the data theory of the foundation. To collect data, semi-structured interview was used and data analysis was done by Strauss and Corbin method and paradigm model. The statistical population was experts and managers with experience in Abadan Oil Refining Company, from which a sample of 21 people was selected after reaching theoretical saturation. Sampling has been done theoretically and using targeted (judgmental) techniques. The results of the analysis of the data obtained from the interviews, during the process of open, central and selective coding, led to the creation of models of the development model of the relationship with the suppliers of consumer products in the Abadan Oil Refining Company based on the data theory of the foundation, which ultimately provided a model for the development model. Communication with suppliers was identified. The findings of this research indicate that for the success of the development model of the relationship with the suppliers of consumer products, company managers can pay attention to the identified categories and subcategories and if they match the conditions of the company, from this category. use In addition, this research shows the need to pay attention to the development patterns of relationships with suppliers.

Introduction: The aim of the present study was to investigate the role of artificial intelligence in value co-creation in virtual learning environments, with a focus on the moderating role of ethical behavior. Material and Methods: The research method was correlational. The statistical population consisted of primary school teachers in Istanbul during the COVID-19 pandemic (year unspecified), from which 200 individuals were selected using simple random sampling as the study sample. The data collection tool was an electronic questionnaire. Data analysis was conducted using structural equation modeling (SEM). Results: The results indicated that the direct effects of artificial intelligence (β = 0.21) and ethical behavior (β = 0.37) on value co-creation in virtual learning environments were positive and significant at the level of P < 0.01. Furthermore, the moderating role of ethical behavior in the relationship between artificial intelligence and value co-creation in virtual learning environments was significant at the level of P < 0.01. Conclusion: The findings demonstrated that the proposed model had a relatively good fit with the data and was able to explain 64% of the variance in value co-creation in virtual learning environments.