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The Influence of Pedagogical Methods and The Use of Digital Tools on Perceived Competencies and Preparation for The Job Market of Students In Digital Marketing Mohamed, Bouaddi
TECHNOVATE: Journal of Information Technology and Strategic Innovation Management Vol. 2 No. 1 (2025): January 2025
Publisher : PT.KARYA GEMAH RIPAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52432/technovate.2.1.2025.31-38

Abstract

This study investigates the impact of pedagogical methods, the use of digital tools, and educational levels on the perceived competencies and job market readiness of digital marketing students in Morocco. A quantitative approach was employed, involving a sample of 250 students evenly divided between License’s and Master's programs. Data were collected via a structured questionnaire. Results indicate that students who engaged in practical courses reported higher job market preparedness compared to those in theoretical courses. A significant positive correlation was found between the use of digital tools and perceived competencies. Additionally, ANOVA analysis revealed that Master's students perceived their competencies more positively than Bachelor's students. These findings suggest a need for enhanced practical learning opportunities and greater integration of digital tools in curricula, along with stronger industry partnerships to better prepare students for market demands.
Understanding Consumer Behavior Through Big Data Analytics: Evidence from the Smartphone Industry Mohamed, Bouaddi; Mohammed, Beddaa; Siham, Khaldi
TECHNOVATE: Journal of Information Technology and Strategic Innovation Management Vol. 3 No. 1 (2026): January - February 2026
Publisher : PT.KARYA GEMAH RIPAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52432/technovate.3.1.2026.1-16

Abstract

In an era dominated by digital interactions, the utilization of Big Data has become essential for businesses striving to comprehend and anticipate consumer behavior. This study investigates the impact of Big Data on understanding consumer behavior and enhancing customer satisfaction within the smartphone market. A quantitative research design was employed, involving a sample of 300 smartphone users surveyed through a structured questionnaire. Utilizing Structural Equation Modeling (SEM), the analysis revealed significant positive relationships: Big Data positively influences the understanding of consumer behavior and consumer satisfaction, while a deeper understanding of consumer behavior also enhances satisfaction. The strong statistical significance of these findings underscores the strategic value of Big Data for businesses aiming to optimize customer experiences and maintain competitive advantage. Furthermore, the study highlights key recommendations for organizations looking to leverage Big Data effectively. Companies should invest in robust data analytics platforms, implement advanced analytics tools for effective customer segmentation, and utilize machine learning algorithms to anticipate consumer trends. Ethical considerations are paramount; organizations must ensure transparency in data collection and comply with privacy regulations to foster consumer trust. Future research should explore the long-term effects of Big Data utilization on consumer satisfaction and examine its applications across different industries. Overall, this study affirms that effective data analytics not only enhances consumer insights and satisfaction but also strengthens relationships between businesses and their customers in an increasingly competitive market landscape.