Philippine agriculture continues to be hindered by the ongoing risks of climate change such as progressive extreme weather, shifting rainfall, and pest outbreaks. The productivity and climate resilience in farming practices are offered solutions through the promising smart agriculture technologies encompassing the Internet of Things, Artificial Intelligence, and predictive analytics.

This study used technology foresight to evaluate the potential of these technologies, generating three future scenarios: (1) SA-ming Pagsubok (Struggling for Stability), which captures the effects of erratic policy implementation and funding constraints; (2) SA-mantala (Slow but Steady Transformation), which reflects farmer resistance and institutional inertia; and (3) SA-nib Pwersa (Strength in Partnership), which examines how public-private collaboration can drive rapid adoption. A Grand Scenario was then synthesized to integrate key drivers—policy stability, financial accessibility, stakeholder engagement, and innovation—to support long-term adoption.

Through collaborative integrated cross-sectoral policies and specific digital literacy campaigns, the technological gap in Philippine agriculture has to be bridged. This study proposes a strategic technology roadmap for responsive, accessible, and sustainable adoption aimed toward smallholder farmers to foster agri-food system transformation. Supporting the enabling environment strengthens agricultural resilience, national food security, and economic stability while advancing climate change adoption.

The rapid advancement of Generative Artificial Intelligence (GenAI) has generated considerable interest in its prospective applications across many sectors, including software quality engineering. This study examines the potential use of GenAI in software quality engineering across selected firms in the Philippines, using scenario building as a methodological framework for technology management. This study seeks to provide future scenarios by examining current trends, challenges, and possibilities, illustrating how GenAI may revolutionize software quality assurance procedures, improve productivity, and mitigate existing deficiencies within the Philippine software quality assurance landscape. The study identifies key drivers such as technological advancements, organizational readiness, and regulatory frameworks, while also considering potential barriers like ethical concerns, and skill shortages. This paper presents a forward-looking perspective on the integration of GenAI in software quality engineering through expert interviews with software QA professionals, a literature review, and scenario analysis, providing strategic insights for businesses, policymakers, and software quality engineering practitioners in the Philippines. The results seek to enhance the wider discussion on AI adoption in software quality engineering, emphasizing the distinct possibilities and problems encountered by Philippine companies in the age of Artificial Intelligence.

This technology foresight explored the future development of a unified scholarship management system in the Philippines, assessing infrastructure readiness, stakeholder engagement, and key considerations over the next 8–10 years. Using surveys, literature reviews, and scenario building, the study examined key variables and uncertainties to identify possible challenges and opportunities.

Three scenarios emerged: one addressing internet reliability, another focusing on data privacy and security, and a third examining the impact of national digital literacy. The study also integrated concepts from R&D management, technology commercialization, and adoption lifecycles at various levels.

Strategic recommendations included partnering with technology hubs or universities, developing a lightweight application for low-end devices, obtaining government endorsement, and implementing a tiered adoption model. Public-private collaboration and technology management were deemed essential for success.

Biometric authentication in digital banking transactions in the Philippines continues to increase in popularity and traction due to its security and convenience, which address the issues associated with traditional authentication methods such as passwords, PINs, and OTPs. This study assesses user adoption and the security of biometric authentication in digital banking, with a focus on user perspectives and preferences, as well as key factors influencing adoption, such as existing gaps, barriers, and challenges.

The approach used in this study is mixed-methods research, combining quantitative and qualitative research methods to ensure a thorough analysis by integrating numerical data from a research survey with an open-ended question, as well as expert insights gathered through interviews. The research survey uses the Technology Acceptance Model (TAM) to assess the users’ perceptions of ease of use, perceived usefulness, attitude toward use, and behavioral intention to use. In addition, an open-ended question in the survey allows respondents to share insights and feedback. The qualitative research contains interviews with data privacy experts and a digital banking user to better understand their perspectives and insights on biometric authentication in digital banking transactions.

The findings reveal that security, ease of use, and trust are the key drivers of biometric authentication adoption in digital banking, while privacy concerns, technological limitations, and regulatory challenges are key barriers. Most respondents find biometric authentication secure, convenient, easy to use, and can enhance the overall security of their digital banking transactions. However, despite owning devices with biometric authentication, some users still prefer traditional authentication methods such as passwords, PINs, and OTPs. This hesitation is related to data privacy concerns, as well as the accuracy and reliability of this technology in digital banking transactions.

Some of the recommendations highlighted in this study include raising awareness and education, strengthening regulatory requirements, improving security and reliability, implementing strong encryption protocols, strengthening security in third-party vendors, and leveraging emerging technologies such as artificial intelligence, machine learning, and blockchain. This also includes a Technology Roadmap to help the Bangko Sentral ng Pilipinas (BSP) and the banking industry in tracking progress and making informed decisions at various stages of the development and implementation process.

This study proposes a standardized project management framework for the company. The research examines the company’s current project management practices, identifies challenges and gaps, benchmarks best practices from similar organizations, and integrates the proposed framework into existing processes.

A qualitative methodology was used, focusing on insights from subject matter experts, particularly the company’s project managers. Gap analysis was performed based on related literature and best practices from comparable organizations.

Key findings reveal the absence of a unified project management baseline, misalignment between project outcomes and client expectations, and incomplete deliverables or incompatibility in the proposed solutions that arises during the execution phase. To address these issues, the proposed framework integrates hybrid project management approach and proposes risk management practices. The framework is designed to align with the company’s current processes and practices while introducing the proposed project management framework to enhance project efficiency and success.

The conclusion of this study is the importance of having a standard process combined with tailoring to ensure project success. The proposed framework offers a comprehensive yet flexible solution for improving project management processes, ultimately contributing to achieve greater consistency, efficiency, transparency among project team and project success, ultimately enhancing its overall project management capabilities.