مطالب

Introduction: Given the expansion of numerous applications of artificial intelligence in the daily activities of human societies and the ethical obstacles that may arise in this direction, the need for a detailed and comprehensive examination of these issues is felt more than ever. Therefore, this study was developed with the aim of examining the challenges of ethical use of artificial intelligence technology. Material and Methods: This study is applied in terms of purpose and descriptive-survey in terms of data collection. Library methods, searching through electronic sources, and field study were used to collect data. In the field method, a questionnaire was used. The research community is experts and specialists in the field of artificial intelligence, 15 of whom were selected through purposive sampling (snowball sampling). By reviewing the literature, 6 obstacles related to the ethical use of artificial intelligence were identified; the DEMATEL method and Excel and MATLAB software were used to analyze the data and evaluate the cause-and-effect relationships between the obstacles. Results: The results show that among the 6 identified barriers (lack of accountability, lack of transparency, lack of legal regulations, possibility of bias and discrimination, violation of data privacy, and violation of social justice and livelihood of individuals), the barrier of lack of transparency, followed by the lack of legal regulations, are considered to be the most important and influential barriers to the ethical use of AI. Also, the barriers of data privacy violation and violation of social justice and livelihood of individuals were identified as the most influential barriers among the aforementioned barriers. Conclusion: The findings of this study indicate the importance and causal relationships governing the existing barriers to the ethical use of AI and can help experts and managers in this field in designing AI systems and making decisions in order to comply with ethical principles.

Multi-channel marketing is an evolving strategy that encompasses various channels, aiming to facilitate customer access to products and streamline sales. Given that successful product sales are crucial for the development of multi-channel marketing and business; it is essential to identify the key factors that influence sales success within this framework. The method of this study is of a qualitative type and the nature of the applied method is that the statistical population includes 10 graduate students and professors of management and marketing. In this study, using a systematic review of literature in scientific databases ResearchGate, Google Scholar, ScienceDirect, Springer, articles and research were screened between 2016 and 2024, and according to the findings of the research, 7 factors (channel integrity and integration, customer experience, customer channel selection, organization of sales channels, marketing and sales alignment, logistics coordination, and digital capability) were identified as effective. Finally, using MICMAC qualitative software, the factors were analyzed and ranked based on the degree of effectiveness. According to data analysis in the effectiveness section, factors such as sales channel organization, customer channel selection, marketing and sales alignment, logistics coordination, digital capability, channel integration and integration, and customer experience were ranked 1 to 7, respectively, in the direct influence section, and the factors of sales channel organization, logistics coordination, customer channel selection, marketing and sales alignment, digital capability, channel integration, and customer experience were ranked 1 to 7, respectively, in the dependence or direct influence

Objective: This study aimed to investigate the predictive roles of co-parenting quality and parenting stress in relation to child behavioral adjustment among parents in Morocco. Methods: A correlational descriptive design was employed involving a sample of 396 parents selected based on Krejcie and Morgan’s sampling table. Participants completed three standardized instruments: the Child Behavior Checklist (CBCL) to assess child behavioral problems, the Parenting Stress Index–Short Form (PSI-SF) to measure perceived parenting stress, and the Co-parenting Relationship Scale (CRS) to evaluate co-parenting quality. Data were analyzed using SPSS version 27. Pearson correlation coefficients were computed to examine the bivariate associations between the dependent variable and each independent variable. Multiple linear regression was then conducted to evaluate the joint predictive power of parenting stress and co-parenting quality on child behavioral adjustment, with all assumptions for regression analysis thoroughly checked and confirmed. Findings: Results showed a significant positive correlation between parenting stress and child behavioral problems (r = .56, p < .01), and a significant negative correlation between co-parenting quality and child behavioral problems (r = –.42, p < .01). Multiple regression analysis revealed that parenting stress (β = .48, t = 8.60, p < .01) and co-parenting quality (β = –.31, t = –6.75, p < .01) were both significant predictors of child behavioral adjustment. The overall model was significant (F(2, 393) = 129.72, p < .01), explaining 40% of the variance in child behavioral outcomes (R² = .40, Adjusted R² = .39). Conclusion: The findings highlight the critical roles of both relational and psychological parenting factors in child development. Interventions aiming to reduce parenting stress and enhance co-parenting quality may be effective in improving behavioral outcomes in children, especially in non-Western cultural contexts like Morocco.