International Journal of Research in Interdisciplinary Studies (IJRIS)
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Quality Assurance Review Among Independent CPAs: Basis for Improvement Plan
Get PDFThis study investigates the effectiveness of the Quality Assurance Review (QAR) among independent Certified Public Accountants (CPAs) in Laguna Province, Philippines, and its relationship with audit quality. The implementation of QAR is mandated under the Philippine Accountancy Act of 2004, yet micro and small CPA practitioners continue to face significant challenges. This research aimed to identify these barriers and assess how QAR impacts audit practices, to propose an improvement plan. Using a descriptive correlational research design, data were collected from CPAs through a questionnaire. The results revealed that QAR was perceived as generally effective. Audit quality was rated highly in terms of compliance with standards, client confidence, use of technology, and timeliness. A significant relationship was found between the effectiveness of QAR and audit quality. The study concludes that strengthening QAR implementation can significantly enhance audit practices among independent CPAs. It recommends an improvement plan focusing on communication, tailored training, accessible resources, and continuous professional development to uphold high standards of audit quality
The Digitalization Initiatives and Customer Satisfaction in the Logistics Management in the Philippines: Basis for an Action Plan
Get PDFThis study examined the impact of digitalization initiatives—specifically automation, real-time tracking, and data-driven decision-making—on customer satisfaction in the Philippine logistics industry. Using a descriptive-correlational design with data from 101 respondents, the research found that all digitalization initiatives significantly influenced customer satisfaction, with automation and real-tracking being the most effective in improving visibility, reducing delays, and building trust. The strong positive correlation between digitalization and satisfaction highlights the strategic importance of technology in enhancing service quality. The study provides actionable recommendations for logistics firms to strengthen digital systems and adopt customer-focused strategies to remain competitive
Virtual Tourism as a Tool for Improving Learners Tour Guiding Skills
Get PDFVirtual Tourism has paved its way in both the education and tourism industry as a result of travel restrictions during the pandemic, yet not long after the lockdowns were lifted, the idea of using technology in platforms like tourism has remained. Virtual environments have always been affected by three factors, immersion, presence and interactivity, which showed great effects on learners’ performance, especially in courses requiring high levels of communication skills like in tour guiding. A single group experimental study, involving forty (40) Grade 8 learners of San Jose Integrated High School S.Y. 2024-2025, taking up Tourism Promotion Services as the respondents, aiming to determine whether the application of virtual tourism as a tool would improve learners tour guiding skills as per their communication skills was created. Both pre-test and post-test administered to the respondents showed a notably high increase after the intervention was done. The results revealed that after being exposed to the virtual application the level of tour guiding skills of learners as per their communication skills under the following factors – building rapport, being informative, resolving conflict, creating a positive experience and promoting tourism product has significantly increased, with p<0.000 in all aspects. And furthermore, these results have revealed a great potential for virtual tourism as a tool for an improved learners’ tour guiding skills, equipping them to face real-world tour situation with ease and confidence
Unpacking Mentorship in Mathematics Education: A Systematic Review
Get PDFThis systematic literature review explores how mentorship, feedback, and standards-based professional development (PD) support the growth and instructional effectiveness of Highly Proficient Mathematics Teachers in the Philippines. Drawing on six Philippine-based peer-reviewed studies published between 2016 and 2025, the review identifies key practices and persistent gaps in mentoring frameworks aligned with the Philippine Professional Standards for Teachers (PPST) and the Results-Based Performance Management System (RPMS). Thematic synthesis reveals five major themes: mentoring practices and technical assistance, feedback-driven professional development, peer and collaborative learning, standards-based CPD, and the impact of mentorship on teacher competence and student outcomes. The findings highlight the importance of formative, dialogic feedback, structured mentoring protocols, and localized PD programs that reflect actual classroom needs. Despite consistent evidence of positive instructional outcomes, current mentoring systems remain underutilized, inconsistently implemented, and limited to public school contexts. This study emphasizes the need for a scalable, feedback-driven mentorship framework adaptable to both public and private school settings and tailored to the unique demands of mathematics education in the Philippines
Retaining Wall Designs for Soil Instability Control: A Case Study in Sapang Bato, Angeles City, Pampanga
Get PDFThis study focuses on the recurring issue of soil instability in Sapang Bato, Angeles City, Pampanga, a region that is known for its steep slopes and high susceptibility to monsoon rains and typhoons. As a preventative precaution against more soil erosion and infrastructure damage along a roadside embankment next to Rizal Street, the research focuses on developing an optimal reinforced concrete retaining wall. The study employs a mixed-methods approach that combines field surveys, qualitative interviews, and analysis using GIS, HEC-HMS, AutoCAD, and PLAXIS 2D. Different reinforced concrete retaining wall designs, particularly cantilever and counterfort designs, were assessed based on site compatibility, cost-effectiveness, and structural performance. Peak discharge and runoff were estimated using HEC-HMS, and slope stability under site-specific loading circumstances was ensured by acceptable lateral displacements validated by finite element modeling using PLAXIS 2D. These results confirm that the suggested construction is appropriate for reducing erosion and improving the impacted embankment\u27s long-term safety and resilience. The cantilever wall design was suggested as the best option following comparative study, establishing a balance between structural soundness and practicality. This study serves as a model for comparable hazard-prone locations in semi-urban contexts and offers a workable, site-specific approach for slope stabilization and erosion management
The Relationship of Prime-HRM Implementation on Employee Work Performance of Prime-HRM Level II (Bronze) Agencies in General Santos City
Get PDFThe purpose of the study was to determine the extent of implementation of Program to Institutionalize Meritocracy and Excellence in Human Resource Management (PRIME-HRM) and its correlation to employee work performance in government agencies of General Santos City. Descriptive-correlational research design was employed, involving 335 respondents coming from GSCWD, DepEd, and LGU-GSC through the use of survey questionnaires and key informant interviews. Descriptive statistics, Mann-Whitney U, Kruskal-Wallis, and Spearman Rank Correlation tests were used to analyze quantitative and thematic analysis was used to explore qualitative responses. Results indicates that PRIME-HRM practice is relatively high across all HRM functions, especially recruitment, selection and placement, and that this is positively and significantly associated with employee work performance. Work quality, efficiency, and timeliness were highly rated and there were no significant differences among demographic factors. Challenges on capacity gaps as well as technological resistance, lack of information and resource limitations are identified. The research finds that PRIME-HRM has a significant impact on increasing work performance among employees across their demographic background but it is recommended that there should be ongoing communications, training and resource support for the continued enhancements. These results suggest for policymakers and HR practitioners to build meritocracy systems and to boost the productivity of the public sector
Impact of Numerical Abilities and Socio-Economic Backgrounds on Entrepreneurial Intentions of Business Education Students in Nigeria
Get PDFRecognizing entrepreneurship as a vital driver of economic growth and job creation, the research addresses why many aspiring entrepreneurs still face barriers despite government initiatives and business education programs. This study explores how numerical abilities and socio-economic backgrounds influence the entrepreneurial intentions of business education students in Nigeria. Using a quantitative, cross-sectional survey, data were collected from 300 business education students and 12 lecturers across three tertiary institutions in South-West Nigeria. The study assessed students’ proficiency in numeracy, their socio-economic backgrounds, and their intentions to pursue entrepreneurship. Results revealed that students generally exhibited low numeracy skills, particularly in applied business mathematics and financial literacy, with only about 41% demonstrating adequate financial knowledge. Socio-economic background was found to be a much stronger predictor of entrepreneurial intentions than numerical ability; students from wealthier families and with more educated parents were significantly more likely to express entrepreneurial ambitions. The findings suggest that while improving numeracy and financial literacy is important, addressing socio-economic disparities is even more crucial for fostering entrepreneurial ambition among students. The study recommends targeted interventions, such as financial support and numeracy mentoring for students from less privileged backgrounds, as well as curriculum reforms to enhance practical business mathematics
A Review on the Computational Tools for Predicting the Functional Impact of Missense Mutation
No full textAdvances in genomic sequencing have left us with millions of genetic variants, the highest percentage of which constitutes missense mutation. Missense mutations are responsible for more than 50% of human-inherited diseases. The accurate characterization of which mutations lead to disease is an indispensable asset for the genomic era. Besides the endless potential for precision and personalized medicine, is the opportunity for timely and appropriate clinical interventions. To this end, the development of tools for predicting the functional impact of missense mutation remains an active area of research. In this review, we present a brief introduction and discussion on the state-of-the-art computational tools for predicting the functional impact of missense mutation. The focus is on the principles, features and methods employed by each tool. The methods employed were grouped into three; -Sequence-based methods, Machine learning methods and Graph-based methods. It was found that graph-based methods were able to capture the spatial structure of the protein in addition to features used by sequence-based and machine learning methods. Besides, graph-based models create opportunities for structure comparison of the wildtype and mutant protein by leveraging on the emerging field of graph representation learning
The Iran Conundrum: Unraveling India’s Strategic Imperatives in a Shifting Regional Landscape
Get PDFThe paper explores the complex nature of India\u27s foreign policy involving Iran and the challenges it poses. The paper presents two fundamental ideas—Iran\u27s location as a geopolitical linchpin and India\u27s extended neighborhood—in order to offer a framework for understanding New Delhi\u27s obligations toward Iran in the light of a changing regional and international security environment. The article highlights India\u27s multifaceted considerations in its ties with Iran by discussing five key strategic interests: Engagement with West Asia, Security Dynamics and Stability in the Persian Gulf, Over land access to Central Asia and Russia, Energy Security and Geopolitics of Afghanistan. However, there are a number of complex factors that complicate Indo-Iranian engagement, including Iran\u27s regional activity, the Gulf countries, Israel and the US\u27s reactions to Iranian acts, and the strengthening of strategic ties between China and Iran. As a result, Iran becomes an important strategic puzzle that shapes New Delhi\u27s foreign policy. The present article enhances the sophisticated comprehension of the Iran dilemma and its consequences for India\u27s foreign policy determinations within the Indo-Pacific area
IoT and AI Integration for Climate‑Smart Farming: A Predictive and Adaptive System for Smallholder Farmers
Get PDFClimate variability increasingly threatens the stability and productivity of smallholder farming systems. Traditional decision-making approaches cannot reliably address rapid shifts in rainfall, soil moisture, pest pressure, and crop stress. This research presents an integrated Internet of Things (IoT) and Artificial Intelligence (AI) based climate-smart farming system that continuously monitors environmental conditions, predicts crop responses, and generates adaptive management recommendations. IoT nodes collect soil moisture, temperature, humidity, rainfall, and nutrient-level data and transmit them to a cloud-based analytics engine. Machine learning models including Random Forest for irrigation prediction, Long Short-Term Memory (LSTM) networks for yield forecasting, and Gradient Boosting for disease-risk estimation form the predictive core of the system. A rule-based adaptive module converts model outputs into actionable recommendations. Experiments using 11,200 sensor-hours, 240 field observations, and 90 climate reports demonstrate irrigation prediction accuracy of 96.2%, disease-risk detection accuracy of 93.7%, and a yield-prediction RMSE of 0.18. Field deployment results indicate 27% water savings and 12-18% productivity gains. The findings show that combining IoT sensing with AI-driven analytics significantly enhances decision-making, reduces resource waste, and supports climate-smart agriculture for smallholder farmers