St. Paul University Quezon City

Abstract: Predictive Sales Analytics for Enhancing Customer Relations Using Regression Analysis focuses on utilizing data-driven techniques to inform and improve business decision-making. By applying regression analysis, the system can identify significant relationships between customer behaviors and sales performance. This allows organizations to forecast future sales outcomes and adjust strategies based on reliable predictions. The integration of predictive analytics into customer relationship management (CRM) strengthens customer retention, loyalty, and satisfaction. It also helps managers allocate resources more effectively while personalizing services to meet customer needs. The use of predictive models transforms raw customer and sales data into actionable insights. Overall, this approach combines statistical accuracy with strategic value, enabling businesses to build stronger and more sustainable customer relationships. The goal of this project is to design and evaluate a predictive sales analytics system that leverages regression analysis to enhance customer relations. Specifically, the project aims to forecast sales outcomes, identify customer trends, and provide actionable insights for decision-makers. By integrating predictive analytics into CRM practices, the project seeks to improve customer retention, satisfaction, and loyalty. Furthermore, the system is expected to help businesses allocate resources more effectively and achieve sustainable growth. A total of 150 respondents participated in the evaluation of the system, consisting of 10 representatives from business organizations and 140 respondents from the academic community. The diverse respondent composition allowed the system to be assessed from both practical and academic perspectives. The development process was guided by the Agile methodology, ensuring iterative improvements and adaptability to user requirements. The evaluation of CRMBoost was conducted using ISO quality standards, specifically focusing on functionality, interaction capability, safety, security, and flexibility. Results showed that the system was functional in processing large amounts of customer data and flexible enough to accommodate different organizational needs. Respondents confirmed that interaction capability was intuitive and user-friendly, while safety and security measures were sufficient to protect customer information. The system outputs, which included sales forecasts, customer trend reports, and predictive insights, were validated as reliable tools for both decision-making and academic analysis. Findings revealed that regression analysis was effective in establishing relationships between independent variables such as demographics, purchasing history, and seasonal demand, and dependent variables such as sales outcomes. Business respondents highlighted the system’s practical usefulness in improving marketing strategies and customer engagement, while the academic community emphasized its contribution to advancing knowledge in predictive analytics. Overall, the system demonstrated its potential as both a technical solution and a strategic resource for organizations. In conclusion, CRMBoost bridges the gap between theory and practice by combining predictive analytics with CRM strategies. It contributes significantly to enhancing customer relationships while promoting sustainable business growth. The study recommends its adoption by organizations and further development by researchers, with continuous alignment to ISO standards to ensure long-term effectiveness and reliability.

The introduction of generative artificial intelligence (AI) in education has been so rapid that debates around its ethics, prevalence, reliability, and best practices continue to arise. The purpose of this study is to analyze perceptions of selected Filipino students towards generative AI in five major aspects: perceived risks and ethical issues, prevalence and acceptance, level of trust, current and intended use, and need for restriction. Building on the Technology Acceptance Model (TAM), this study investigates the influence of perceived usefulness, ethical implications, and trust on students' acceptance and use of generative AI within the context of their studies. Data were collected from 717 Filipino students using a quantitative, descriptive-correlational research design. The findings indicate that 95% of respondents use generative AI tools, with ChatGPT being the most frequently used. These students see the relevance and value of AI in improving tasks related to academic work, but they also express apprehensions in terms of academic integrity, misuse, and ethical risks. The researchers performed correlation analyses that showed perceived risk is significantly associated with perceived need for restrictions, perceived trust is significantly related to the acceptance of AI, and acceptance of AI is significantly associated with usage. The strong correlation between trust and the need for restrictions indicates that even those who trust AI recognize that ethical safeguards are needed. This study highlights the importance of AI literacy, ethical regulations, and clearly defined institutional policies in promoting AI advantages and maintaining academic integrity. Of particular interest are the implications of the findings for anyone who directly or indirectly contributes to shaping the integration of responsible AI in education systems, including teachers, policymakers, and institutions. Future studies could investigate AI use in the present and how regulations of AI will affect students and educators in the long term in academia.

Online learning education pedagogy is the trend at present in the educational system due to Covid 19 pandemic crises. It explores the pedagogical design in the academic competency of student development in various digital learning literacy on technology collaborative enhance learning. The study aims to identify the different transition of Covid 19 pandemic in the implementation and readiness of online learning for both teachers and students in terms of access to digital work, availability of technology, adequacy of technology, access to effective online learning platform, access to link of internet, and school practices to online teaching. Descriptive quantitative method is employed in the study because it provides a systematic and accuracy that describes the phenomenon of the current study. Purposive sampling technique is utilised in the study because it is subjective, selective, and judgmental sampling. The study compromised one hundred fifty (150) respondents. Results show that online learning fits the different pedagogy of learning tools, resources, course materials in the access to digital work, transform student responsibility and learning experience to new opportunity of learning and empowers student on technology to be more creative and connected in their online learning classes and activities in the availability of technology, accessibility to online learning process that enable to study or teach anywhere and anytime through internet connection as advantage for student and allow for a customise learning experience flexibility to study at their level and ability to improve learning dynamic in adequacy of technology, enhance professional skill in online learning and teaching through skill, attitude, and knowledge in a competitive world of e-learning tailored with the global demand of education due to Covid 19 pandemic in access to effective online learning platform, provide access to internet that use for online teaching to communicate, manage, create, gather, access, and distribute information for student learning in access to link of internet, and open for adjustment and constructive feedback in a novice teaching online and innovation to technology that will be helpful for student learning school practice online teaching. <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0623/a.php" alt="Hit counter" /></p>

The government attitude toward the informal sector in piracy-laden countries in Southeast Asian countries such as the Philippines and Vietnam has been ignored in media piracy studies. Investigations often focus on the deficient copyright laws and law enforcement. This chapter explores the relationship between the supportive and nonhostile government policy toward the informal sector and the difficulty of fully formalizing the optical media business, specifically the optical media retail piracy trade, as demanded by the United States Trade Representative (USTR) and corporate lobbying groups such as the International Intellectual Property Alliance (IIPA). To provide a context to this connection, this chapter first provides an overview and clarification on the definition and measurement of the informal sector, citing some current issues and problems encountered by the International Labor Organization (ILO) and researchers in dealing with this term. Then using some secondary data, it proceeds to illustrate some important contributions of this sector—which includes the informal optical media retail piracy trade—to the overall economy of Southeast Asian countries, particularly to those of piracy-laden ASEAN countries. Generally, it argues that the supportive or tolerant attitude of the Philippine and Vietnamese governments as reflected in their legislation and programs toward the informal sector supports informality in business and thus provides a friendly environment for informal employment and trade such as the optical media retail trade to flourish in the informal sector. Emerging economies such as the Philippines and Vietnam see the important role of the informal sector in employment generation and economic growth. Thus, they see no urgency to expedite the full formalization of the informal optical media trade and immediately comply with the IPR demands of the United States and the United States Trade Representative (USTR).

The article investigates the creation and performance of the peace operations in Darfur, the African Mission in Sudan (AMIS), conducted by the African Union, and the African Union-United Nations Hybrid Operation in Darfur (UNAMID) which replaced AMIS.The analysis is centered in three current tendencies of the doctrine and practice of peacekeeping: the development of regional capability in peace maintenance; the approval of more robust

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