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PurposeThe primary objective of this study is to understand how gamification elements, perceived teacher support and boredom relate to academic performance and how these relationships are mediated by perceived enjoyment while pointing out such influence on educational outcomes.Design/methodology/approachA quantitative survey methodology was conducted with 350 Lebanese university students specializing in digital marketing. This study used structural equation modeling (SEM) to analyze the data and provide exciting insights into the complex ties between variables.FindingsThe results indicate that well-implemented gamification elements significantly increased perceived enjoyment and positively influenced academic performance. Furthermore, perceived teacher support enhanced the effectiveness of gamification by increasing student engagement and enjoyment. Conversely, boredom negatively affects perceived enjoyment and academic performance, underscoring the need for well-designed gamification strategies that sustain interest and motivation.Research limitations/implicationsStructural equation modeling and other quantitative tools excel at discovering connections but may not reveal the origins of the patterns they uncover. Given the complexity of causation, quantitative studies examining the mediating role of subjective satisfaction may gain more insight using a mixed or qualitative approach. Although the data supplied by the 350 responders were interesting, the sample size was insufficient to make any definitive conclusions. These findings may not be generalizable because Lebanon’s student bodies are diverse. The ability to detect tiny changes in the target variables requires researchers to consider how much time and energy they can dedicate to gathering data while structuring their investigations.Practical implicationsThis study contributes to understanding gamification as a powerful tool for innovation in education and reshaping learning into motivating, engaging and sustaining productive experiences to improve educational quality. Therefore, our recommendations shed light on such improvements' impact on society. In this vein, we enrich this path by highlighting the crucial role of teachers and decision-makers in developing new professional programs.Originality/valueThis study demonstrates the importance of perceived enjoyment in the transformative gamification process in education. This study emphasizes the value of effective gamification implementation supported by teachers as a powerful tool for enhancing learning experiences and improving the quality of education.
PurposeThe primary objective of this study is to understand how gamification elements, perceived teacher support and boredom relate to academic performance and how these relationships are mediated by perceived enjoyment while pointing out such influence on educational outcomes.Design/methodology/approachA quantitative survey methodology was conducted with 350 Lebanese university students specializing in digital marketing. This study used structural equation modeling (SEM) to analyze the data and provide exciting insights into the complex ties between variables.FindingsThe results indicate that well-implemented gamification elements significantly increased perceived enjoyment and positively influenced academic performance. Furthermore, perceived teacher support enhanced the effectiveness of gamification by increasing student engagement and enjoyment. Conversely, boredom negatively affects perceived enjoyment and academic performance, underscoring the need for well-designed gamification strategies that sustain interest and motivation.Research limitations/implicationsStructural equation modeling and other quantitative tools excel at discovering connections but may not reveal the origins of the patterns they uncover. Given the complexity of causation, quantitative studies examining the mediating role of subjective satisfaction may gain more insight using a mixed or qualitative approach. Although the data supplied by the 350 responders were interesting, the sample size was insufficient to make any definitive conclusions. These findings may not be generalizable because Lebanon’s student bodies are diverse. The ability to detect tiny changes in the target variables requires researchers to consider how much time and energy they can dedicate to gathering data while structuring their investigations.Practical implicationsThis study contributes to understanding gamification as a powerful tool for innovation in education and reshaping learning into motivating, engaging and sustaining productive experiences to improve educational quality. Therefore, our recommendations shed light on such improvements' impact on society. In this vein, we enrich this path by highlighting the crucial role of teachers and decision-makers in developing new professional programs.Originality/valueThis study demonstrates the importance of perceived enjoyment in the transformative gamification process in education. This study emphasizes the value of effective gamification implementation supported by teachers as a powerful tool for enhancing learning experiences and improving the quality of education.
PurposeBuilding upon the resource-based view (RBV) and related research, this paper empirically examines the impact and specific mechanisms of artificial intelligence transformation on corporate innovation capabilities. It provides micro-level evidence of AI’s influence on innovation behavior.Design/methodology/approachDrawing upon data from Chinese listed companies spanning the period from 2011 to 2022, this study employs a dual fixed-effects model and a mediation effects model to empirically analyze the influence of enterprise AI transformation on its innovation capability as well as the specific mechanisms involved.FindingsThe research reveals that AI transformation significantly enhances the innovation capability of enterprises. Heterogeneity analysis indicates that AI transformation exerts a stronger promoting effect on the innovation capability of non-technology firms, large enterprises and those within the manufacturing sector. Mechanism analysis further reveals that AI transformation enhances innovation capability by boosting enterprise profits, reducing costs and reinforcing internal control mechanisms. Further examination demonstrates that AI transformation elevates the quality, efficiency and eco-friendliness of enterprise innovation.Originality/valueFirstly, this study employs text analysis methods from machine learning to construct artificial intelligence indicators at the firm level, providing stronger evidence of AI’s impact on corporate innovation capabilities. Secondly, it extends corporate innovation behavior to include innovation quality, efficiency and green innovation practices, offering a more comprehensive validation of AI’s role in fostering corporate innovation.
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