Food safety in supply chains remains a critical concern due to the complexity of global distribution networks. This study develops a conceptual framework to evaluate how food safety risks influence supply chain performance through predictive analytics. The framework identifies and minimizes food safety risks before they cause serious problems. The study examines the impact of food safety practices, supply chain transparency, and technological integration on adopting predictive analytics. To illustrate the complex dynamics of food safety and supply chain performance, the study presents supply chain transparency, technological integration, and food safety practices and procedures as independent variables and predictive analytics as a mediator. The results show that supply chain managers' capacity to anticipate and control risks related to food safety can be improved by predictive analytics, leading to safer food production and distribution methods. The research recommends that businesses create scalable cloud-based predictive model solutions, combine data sources, and employ cutting-edge AI and machine learning tools. Companies should also note that strong, data-driven approaches to food safety require cooperative data sharing, regulatory compliance, training initiatives and ongoing improvement.

This study investigates pedagogical content knowledge (PCK) among teachers teaching mathematics at the preschool level in Colombia, highlighting the importance of integrating mathematical knowledge with innovative and effective pedagogical strategies. Using a mixed exploratory and transactional methodology, the perceptions and practices of 82 teachers were examined, focusing on their understanding of mathematical content, pedagogical skills, and knowledge of children's cognitive development. The findings reveal a significant gap in teachers' understanding of these concepts, indicating a critical need to strengthen PCK among teachers. To this end, training should be provided to enable teachers to foster meaningful and contextualized mathematical learning in preschool students. The study suggests reviewing teacher training curricula and fostering the development of pedagogical strategies that prioritize conceptual understanding and mathematical reasoning. Additionally, it identifies critical areas for improvement and offers concrete recommendations for transforming mathematics teaching in preschool education. To enhance the quality of mathematics education, several measures are proposed: ensuring continued availability of training programs for teachers, encouraging collaboration between educators, adopting constructivist approaches, and helping teachers understand the value of mathematics learning outside the school.

The study employed a qualitative approach to determine the influence and effectiveness of storytelling in shaping the Alpha generation’s buying decisions and consumption behaviours. The students of the University of Lagos Junior Secondary School were selected for the study. The interview questions were set to focus on factors like experiences, sources of storytelling communication, the outcomes and the affective effects. Twenty-five students were purposively selected out of one hundred and twelve (112) population for the interview based on the conditions for selection. Thematic analysis was used and a total of 244 themes were identified. Four (4) major themes were later identified in thematic synthesis through coding translation. The findings revealed that storytelling is effective and strategic in brands targeted at the Alpha generation, hence, the generation relied on storytelling to choose brands in convenience, impulsive and shopping products, and radio and television were the main sources of storytelling campaigns among the generation. Storytelling wrapped in songs, entertainment, dancing, drama, etc. captivated and influenced the generation, and children used the information from the storytelling campaigns to influence family purchase decisions and parents’ buying decisions and behaviours.

Nowadays, customer service in telecommunications companies is often characterized by long waiting times and impersonal responses, leading to customer dissatisfaction, increased complaints, and higher operational costs. This study aims to optimize the customer service process through the implementation of a Generative AI Voicebot, developed using the SCRUMBAN methodology, which comprises seven phases: Objectives, To-Do Tasks, Analysis, Development, Testing, Deployment, and Completion. An experimental design was used with an experimental group and a control group, selecting a representative sample of 30 customer service processes for each evaluated indicator. The results showed a 34.72% reduction in the average time to resolve issues, a 33.12% decrease in service cancellation rates, and a 97% increase in customer satisfaction. The implications of this research suggest that the use of Generative AI In Voicebots can transform support strategies in service companies. In conclusion, the implementation of the Generative AI Voicebot has proven effective in significantly reducing resolution time and markedly increasing customer satisfaction. Future research is recommended to further explore the SCRUMBAN methodology and extend the use of Generative AI Voicebots in various business contexts.

In the recent years, with global warming and the change in climatic characteristics, buildings and interior arrangements in dry and cold climates, that previously did not have cooling problems, now require built and pre-planned cooling systems as well as heating. On the other hand, the enormous increase in energy consumption and the rapid depletion of energy resources causes concern and anxiety for future generations. In this regard, utilizing natural resources and incorporating sustainable solutions into building design are critical. Vernacular technical systems and design ideas can still be accepted and applied to create sustainable solutions. In this context, design strategies for energy efficiency and provision of physical and spatial comforts could be considered based on traditional architecture. In this study, sustainable building design solutions that have been used in Iran’s vernacular houses, which has four distinct climate zones, aimed to create a paradigm for the general modern passive house designs in the global context. Traditional Iranian residential architecture incorporates architectural features for physical, spatial, and climatic needs, as well as aesthetic comfort for the user. In this manner, user needs and interior space organization in vernacular residential architecture can be considered as a sustainable housing model that meets today’s technology requirements in passive house design.