International Journal of Research and Innovation Management

Factors Influencing the Intention to Use Social Media as Interactive Learning among Polytechnic Hulu Terengganu's Students

Nor Ayu binti Awang Siman — 2025-11-18

Social media is one of the most widely used technology-based applications nowadays. Social media serves as an effective tool for facilitating interactive learning, contributing significantly to the achievement of several Sustainable Development Goals (SDGs), notably SDG 4 (Quality Education) and SDG 17 (Partnerships for the Goals). There are numerous reasons that influence students in using social media as interactive learning. Therefore, understanding the determinants that influence the intention to use social media among higher education students in Malaysia is essential. This study seeks to examine the factors affecting students' intention to use social media for interactive learning at Polytechnic Hulu Terengganu, guided by the Unified Theory of Acceptance and Use of Technology (UTAUT). With regard to the intention to utilize social media, the study also seeks to analyze the relationship between performance expectancy, effort expectancy, and social influence. This quantitative research approach was conducted through an online survey involving 93 accounting students from Polytechnic Hulu Terengganu, Terengganu, and the data were processed using SPSS version 28. The result showed that 93 students (100%) were familiar with the social media in their learning process. Meanwhile, the finding concluded that performance expectancy, effort expectancy and social influence have significant positive relationship with the intention to use social media as learning interactive. This research demonstrates that students prefer to use a learning tool that is user-friendly, quick, and widely available. Overall, the results could potentially benefit Politeknik Hulu Terengganu, the government, and facility providers by enabling them to offer online facilities to students.

Adoption of SPOT-Me in Attendance Management: Assessing User Satisfaction and Continuance Intention

Laila binti Musa — 2025-11-18

This study focuses on implementation of SPOT-Me (Sistem Pemantauan Operasi Tugas), a digital attendance monitoring system which known as a part of the Malaysian public sector's transition to digital transformation. This study investigates the level of satisfaction and continuance intention among academic and non-academic staff at Politeknik Tuanku Syed Sirajuddin (PTSS) regarding their use of SPOT-Me. The study investigates the effect of compatibility, efficiency, perceived ease of use and perceived usefulness on the satisfaction and continuance intention of using the system by utilizing the Technology Acceptance Model (TAM) and Expectation-Confirmation Theory (ECT). Using a non-parametric approach due to non-normal data distribution, 250 academic and non-academic staff participated in the survey. Spearman’s rho analysis revealed strong positive correlations between all variables while the Mann-Whitney U test demonstrated substantial differences in satisfaction levels among user categories. The results confirm that technological and perceptual factors play a key role in fostering positive attitudes toward SPOT-Me. The findings highlight the system’s effectiveness in supporting attendance management and provide insights for future technological implementations in public sector’s institutions. In addition, these results also emphasize the significance of perceived usability and contextual fit in determining user satisfaction and continuance intention to use the system. This research enhances the discussions on digital transformation within the Malaysian public sector by providing evidence-based insights that might support policy refinement and lead future system improvements for sustainable technology integration.

Exploring the Moderating Effect of Technological Self-Efficacy in Metaverse-Enhanced TVET Education

Darren Peter — 2025-11-18

In the rapidly evolving educational landscape, Technical and Vocational Education and Training (TVET) emerges as a cornerstone for equipping learners with the practical skills required in the modern workforce. The advent of the Metaverse, an immersive digital ecosystem incorporating virtual and augmented reality, presents an unparalleled opportunity to revolutionize TVET by seamlessly integrating experiential learning with real-world applications. This study seeks to investigate the intricate dynamics within Metaverse-enhanced TVET education by focusing on the moderating role of technological self-efficacy. The research pursues three primary objectives: first, to explore the relationship between teacher development dimensions (comprising professional development, engagement with Metaverse tools, pedagogical training, and teachers’ readiness) and teaching effectiveness in a Metaverse context. Second, it evaluates the moderating influence of technological self-efficacy on the nexus between teacher development dimensions and teaching effectiveness. Anchored in a quantitative research methodology, the study proposed a web-based survey for data collection and PLS-SEM for data analysis. The findings of this study are expected to significantly enrich the academic discourse on TVET education and Metaverse technologies, a domain that remains nascent globally and remarkably underexplored in Malaysia. Furthermore, the finding expected to bridge existing knowledge gaps, offering fresh insights into how digitalization and sustainable practices can redefine educational strategies in Malaysia’s TVET sector.

Nutritional Enhancement of Frozen Cucurbita Puri Bread: A Comparative Analysis of Formulation and Consumer Acceptance

Rusyidah binti Mat Zin Boestami — 2025-11-18

Pumpkin (Cucurbita spp.) is a nutrient-dense crop rich in antioxidants and fibre, yet its underutilization in processed foods contributes to post-harvest losses in SDG 12: Responsible Consumption and Production. Besides, SDG 3: Good Health and Well-being by promoting nutrient-dense foods and industrial scalability supports SDG 9: Industry, Innovation and Infrastructure. This study aims to (1) develop Frozen Cucurbita Puri Bread with enhanced nutritional value and (2) validate consumer acceptability, targeting health-conscious consumers and food industries. Proximate analyses such as moisture, ash, phenolic and antioxidant content. For sensory evaluation by using 9-point hedonic scale were conducted to compare frozen cucurbita puri bread and plain puri bread. Frozen cucurbita puri bread exhibited superior nutritional properties were 20.19% to 25.23% moisture compared to 24.24% to 30.0% in plain bread. While 54.6 mg/mL phenolic compounds and 15.3 mg/mL antioxidants. For sensory tests confirmed higher acceptability was 5.53 compared to plain puri bread 4.37. The study successfully developed a nutrient-rich and addressing gaps in functional bakery products. Evaluate other nutritional value such as protein or vitamin profiling could further validate health claims and development on biodegradable packaging.

Development and Implementation of a ROS-Based Differential Drive Robot for Autonomous Navigation

Ku Mohammad Yusri Bin Ku Ibrahim1 — 2025-11-18

The development of autonomous mobile robots has gained significant attention due to their potential applications in navigation, surveillance and industrial automation. However, achieving precise localization and obstacle avoidance in dynamic environments remains a challenge, particularly for differential drive robots. This study focuses on the development of a ROS-based differential drive robot designed for autonomous navigation. The robot is equipped with a Teensy microcontroller, DC motors with encoders for motion control, an RPLIDAR A1 for mapping and obstacle detection and a GY-85 IMU for inertial sensing and orientation estimation. To address the challenges of localization and navigation, the system integrates ROS-based software packages for sensor data processing, motion control, and real-time path planning. The navigation framework employs a proportional-integral-derivative control strategy to ensure smooth and accurate movement. Additionally, simultaneous localization and mapping techniques are used to construct real-time maps of the environment while enabling autonomous path execution. Experimental evaluations demonstrate the robot’s ability to navigate predefined environments efficiently while avoiding obstacles. Preliminary results indicate that the system achieves reliable localization with minimal drift and effective trajectory tracking with position errors of 5.5-12.5 cm with traveled times of 96-123 s. This study contributes to the field of autonomous robotics by presenting a robust and adaptable navigation framework for differential drive robots. The findings highlight the effectiveness of ROS-based integration for autonomous navigation and provide insights into potential improvements for enhancing real-time decision-making, mapping accuracy and system robustness in complex environments