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Short-Form Video Consumption among College Students: Perceived Academic Impact and Pedagogical Potential Ayo, Eliza B.; Tamayo, Josan D.; Tegio, Rexter G.; Sakay, Lani E.
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 6 No. 9 (2025): International Journal of Multidisciplinary: Applied Business and Education Rese
Publisher : Future Science / FSH-PH Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijmaber.06.09.05

Abstract

The pervasive adoption of short-form video (SFV) platforms, including TikTok, YouTube Shorts, and Instagram Reels, among college students has sparked considerable debate regarding their influence on academic performance. This study aimed to investigate the perceived relationship between SFV consumption (considering platforms, content types, and usage patterns) and academic performance among college students, while also exploring the platforms' potential for learning enhancement. A correlational quantitative design was employed, administering an online survey to 92 college students, primarily from a single university in Manila. Data were analyzed using descriptive and correlational statistics. The study found that general short-form video (SFV) consumption during academic periods had no significant negative effect on academic performance (M = 2.18, SD = 0.86, p > 0.05). However, educational SFV content showed a strong positive influence on learning outcomes (M = 3.34, Cohen’s d = 0.82, p < 0.001), demonstrating significant benefits for academic performance. This study highlights how short-form videos (SFVs) can serve as a valuable teaching tool, aligning with the United Nations Sustainable Development Goal (SDG) 4 and 10 on Quality Education and Reducing Inequalities. It provides evidence-based strategies for using these digital platforms to develop 21st-century skills. The findings also back innovative pedagogical approaches that prepare students for digital citizenship and lifelong learning. By making educational content more accessible, SFVs can help reduce educational inequalities and contribute to SDG 10 on social inclusion.
AI Literacy Among University Students and Faculty: Similarities and Differences Ayo, Eliza B.; Tamayo, Josan D.; Asur, Dan Erico
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 6 No. 9 (2025): International Journal of Multidisciplinary: Applied Business and Education Rese
Publisher : Future Science / FSH-PH Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijmaber.06.09.33

Abstract

This study assessed AI literacy levels among 111 respondents at Centro Escolar University using a four-dimensional framework (Kong, 2024). Despite widespread AI adoption (99.1%), only 5.4% received formal training, revealing a critical educational gap. Faculty demonstrated significantly higher literacy in metacognitive (p = 0.02), affective (p < 0.01), and social dimensions (p < 0.01) compared to students. Both groups showed similar cognitive understanding and tool usage patterns. The research aligns with UN Sustainable Development Goals 4 (Quality Education) and 8 (Decent Work and Economic Growth) by identifying barriers to equitable AI education. Findings indicate urgent need for structured AI literacy programs, ethical curriculum integration, and institutional policy development to prepare students for an AI-driven workforce. This study contributes to understanding AI literacy disparities in higher education and provides evidence-based recommendations for comprehensive educational reform supporting sustainable development objectives.
Innovation Strategies: A Case Study of Leading Philippine Corporations Ayo, Eliza B.; Tamayo, Josan D.; Flores, Joever Joseph C.; Xiao, Yao
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 6 No. 7 (2025): International Journal of Multidisciplinary: Applied Business and Education Rese
Publisher : Future Science / FSH-PH Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijmaber.06.07.13

Abstract

Innovation is pivotal for corporate sustainability in competitive emerging markets. This study examines the innovation management strategies of leading Philippine corporations in finance, real estate, retail, and technology from 2020 to 2024, utilizing the Input-Process-Output-Outcome (IPOO) framework, which maps how inputs are transformed into processes, outputs, and outcomes. Through qualitative content analysis of corporate reports and industry publications, we identify context-specific strategies, such as digital transformation (e.g., online platforms), sustainability initiatives (e.g., carbon neutrality), and customer-centric approaches (e.g., AI-driven tools), as key drivers of growth. For instance, SM Prime Holdings achieved a 14% net income increase in 2024 through sustainable mall expansions (SM Prime, 2024), while BDO Unibank’s AI-driven tools enhanced customer engagement by an estimated 20% (based on corporate reports). The study contributes to innovation management literature by demonstrating how these strategies drive financial and environmental outcomes in emerging markets, offering insights for policymakers and business leaders.
Measuring Organizational Commitment of Boomers, Gen X, Gen Y, and Gen Z: Basis for Engagement and Retention Policies Ayo, Eliza B.; Sumande, Caroline T.; Tamayo, Josan D.; Isip, Maria Luisa G.; Wibowo M. S. , Aryo De
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 6 No. 7 (2025): International Journal of Multidisciplinary: Applied Business and Education Rese
Publisher : Future Science / FSH-PH Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijmaber.06.07.27

Abstract

This study examined the organizational commitment levels of employees across four generational cohorts: Boomers, Gen X, Gen Y, and Gen Z utilizing the Three-Component Model (TCM) of Commitment. The research investigated affective, continuance, and normative commitment to identify generational differences and their influencing factors among healthcare professionals using a mixed-methods approach. The study provided insights for tailored human resource strategies to enhance employee engagement, retention, and organizational performance, setting the stage for future empirical analysis. This study explored generational differences in organizational commitment among hospital employees using a mixed-methods, cross-sectional design. Quantitative data were collected through a structured survey, assessing affective, continuance, and normative commitment. Due to small sample sizes and non-normal data distribution, the Kruskal-Wallis H test was used to compare generational groups. Qualitative data from open-ended responses were thematically analyzed to identify key factors influencing commitment, such as value alignment and workplace support. Employees show high affective commitment, driven by emotional connection, shared values, and meaningful work. Continuance and normative commitment were moderate, influenced by job stability, benefits, and a sense of loyalty. There are no significant generational differences in commitment levels, most likely due to a shared mission in healthcare. Intrinsic, value-based factors play a stronger role in commitment than external pressures.
Health Metrics of P.E. Teachers from Direct and Smart Phones App Measurements: Their Relationship with Gender, Age, and Areas Handled Ayo, Eliza B.; Lim, Anabel G.; Alejandro, Rosalie P.; Peralta, Richard Niel B.; Peralta, Raymond L.; Florentino, Ma. Christina A.; Cruz, Joel H.; Parcher, Jean Bernadette C.
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 6 No. 12 (2025): International Journal of Multidisciplinary: Applied Business and Education Res
Publisher : Future Science / FSH-PH Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijmaber.06.12.06

Abstract

This study investigated the relationship between demographic and professional factors—specifically gender, age, and physical education (P.E.) areas handled—and health and sleep metrics among P.E. teachers. A quantitative cross-sectional design was employed among 374 P.E. teachers. Data were collected using validated instruments, including the Pittsburgh Sleep Quality Index (PSQI) and International Physical Activity Questionnaire (IPAQ), along with direct and smart app health measurements. Statistical analyses included independent t-tests, Pearson correlations, ANOVA, and chi-square tests. The sample comprised 58.8% males with a mean age of 38.9 years. Gender showed minimal relationships with health metrics except for daily steps (females higher, p = 0.05). Age was significantly associated with sleep quality (r = 0.15, p = 0.03), sleep disorder prevalence (χ2 = 10.5, p = 0.03), BMI category (χ2 = 12.3, p = 0.02), and blood pressure (systolic: r = 0.20, p = 0.01; diastolic: r = 0.18, p = 0.02). Most notably, P.E. areas handled showed the strongest associations with health metrics, particularly physical activity levels, daily steps, sleep quality, and BMI categories (all p < 0.05). Professional specialization within P.E. teaching emerged as the most significant predictor of health and sleep outcomes, surpassing demographic factors. These findings inform institution for targeted wellness interventions to revisit and review institutional policies for P.E. educators.
MiniXplorer Technical Performance Evaluation and SDG Alignment Assessment Ayo, Eliza B.; Tamayo, Josan D.; Mijares, Teresita S.; Bustamante, Rosemarivic A.; Peralta, Raymond
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 6 No. 12 (2025): International Journal of Multidisciplinary: Applied Business and Education Res
Publisher : Future Science / FSH-PH Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijmaber.06.12.09

Abstract

Artificial intelligence (AI) is increasingly being integrated into education, offering new ways to address global learning challenges. This study examines the development and effectiveness of MiniXplorer, a mobile application powered by Google’s Machine Learning Kit (ML Kit) for image recognition and Text-to-Speech (TTS) technology. The project also considers how the app contributes to the United Nations Sustainable Development Goal 4 (Quality Education). The study followed a descriptive-developmental design using a mixed-methods approach. MiniXplorer was tested in different image conditions (e.g., resolution, format, lighting, and noise), underwent automated compatibility checks, and was assessed for security risks. User experiences were evaluated following the ISO/IEC 25010 quality standards, with data collected from surveys, interviews, and observations. MiniXplorer showed strong performance, working best with natural lighting, .jpg formats, and front or side object views (average ratings between 2.50–2.83 on a 3-point scale). It was also capable of handling partial obstructions and more complex image scenarios. Automated testing confirmed smooth compatibility with modern Android operating systems. Users gave positive feedback across all ISO 25010 criteria, with particularly high scores in functional suitability (1.42–2.00), usability (1.49), and reliability (1.75). Two minor security issues were detected but were promptly resolved. MiniXplorer has proven to be an engaging, accessible, and effective educational tool for young learners. Its design and performance support the goals of SDG 4, SDG 9 and SDG 10 by promoting inclusive, equitable, and high-quality education through the use of affordable AI technologies.