Hybrid and remote work arrangements have weakened traditional mechanisms of sprint visibility, increasing the risk of delayed issue detection and reduced delivery predictability in Agile teams. This study presents an integrated organizational adoption framework and PPTO-based roadmap for AI-assisted, mobile-first sprint health monitoring. The proposed Sprint Pulse approach combines operational delivery metrics with human-centered signals, including sentiment, perceived workload, and reporting behavior, to enable earlier and more actionable risk detection.

Guided by three research questions, the study examined (1) visibility gaps and tool effectiveness in hybrid Agile environments, (2) feature and data requirements for a reliable Sprint Health Score and automated risk flagging, and (3) the organizational roadmap needed for responsible implementation. A mixed‑methods design was employed, combining a descriptive survey of 365 Agile practitioners from a defined population of 7,000, semi‑structured interviews with Agile leaders, and benchmarking of existing Agile and AI‑enabled tools.

Findings indicate that dashboards are most effective when supported by fresh, low‑friction inputs captured during the sprint. Results suggest that early risk detection is feasible when flow‑based indicators (e.g., blocker age and scope churn) are combined with lightweight sentiment and workload pulses and surfaced through explainable AI patterns. The study concludes that successful adoption depends less on analytics sophistication and more on organizational readiness across people, process, technology, and operations (PPTO), including psychological safety, governance transparency, workflow maturity, and low-friction reporting behaviors. Findings suggest that AI-assisted sprint health visibility becomes organizationally feasible only when supported by phased capability development and sustained trust-building mechanisms.

Over one and eight-tenths million people work in the Philippines' Information Technology – Business Process Outsourcing (IT-BPO) sector, and contribute about 7% to its Gross Domestic Product (GDP). However, the sector continues to utilize conventional approaches toward accessing operational knowledge. Operational knowledge is stored in various forms of documentation. Information regarding operational knowledge is difficult to locate unless adequate documentation exists. It is equally challenging to identify solutions to recurrent ticket requests. Only approximately 14.9 % of Philippine companies have employed Artificial Intelligence (AI) in some form. Therefore, the majority of knowledge operation activities including knowledge retrieval remain traditional. Enterprise Retrieval-Augmented Generation (RAG) provides an opportunity to resolve the access issue by aggregating standard operating procedures (SOP), run books, and resolution history into one search engine. This research has positioned RAG specifically as a knowledge access solution. RAG improves the rate at which employees can locate documented information; however, it does not substitute the mentoring, coaching and tacit learning that represent knowledge transfer itself.
To develop a decision-making framework for the adoption of enterprise RAG technology for knowledge operations within Philippine IT-BPO industry, this research used a ten-step intuitive logic scenario planning methodology based upon the original developed by Schoemaker (1995). A STEEPL environmental scan identified 23 factors or "drivers" that influenced the application of RAG technology. A structured survey was administered to 14 IT-BPO practitioners who rated the potential influence and uncertainty associated with each driver. Those drivers scoring high in terms of both dimension were clustered along two independent axes: Technical and Operational Readiness; Economic and Leadership Commitment. From these two axes, four distinct scenarios were created, each evaluated based upon knowledge transfer speed, service delivery quality, risk exposure and cost.
Three base-level strategies were found to be applicable across all four scenarios. Conditional strategies were also identified based upon each axis. Finally, early warning signs or indicators were identified that allow organizations to recognize whether their current environment is trending towards a specific future scenario. Organizations may therefore make adjustments prior to being left behind.

This project examines how the Quezon City Citizen ID (QCID) can evolve from an identity credential and registry mechanism into a foundation for integrated digital service access. While the QCID already exists in physical and digital forms and is connected to Quezon City's broader digital service environment, the study identifies a continuing identity-to-access gap: service access remains affected by platform fragmentation, service-specific validation, and the absence of a clearly defined Digital Access Layer. Using a qualitative and foresight-oriented methodology, the study reviews literature on digital identity, public sector digital transformation, interoperability, and technology roadmapping. It then assesses the current QCID-enabled digital ecosystem, analyzes emerging trends and access risks, and develops a phased strategic roadmap. The proposed roadmap recommends near-term foundations, medium-term integration, and long-term institutional positioning to support QCID-enabled access. The study argues that the main reform is not an app-centered rollout, but the development of a governance, data, process, and platform layer that connects identity to authentication, eligibility, service routing, and transaction visibility across Quezon City's service ecosystem.

Energy Development Corporation, through its digitalization program, has enhanced its business capabilities across its fleet. The adoption of IIoT into its field operations contributes to several operational efficiency outputs, such as asset performance monitoring, well-outage detection and prediction, remote data collection and analysis, and natural catastrophe resilience programs. Guided by its evolving digital roadmap, the organization seeks to create more innovative investments in emerging technologies to achieve its business goals. However, its IIoT network infrastructure is at risk for hardware unavailability and unscalability. This is due to the obsolescence of technology in the market and aging network infrastructure. Thus, there is a need to explore new technologies that can replace the current IIoT requirements while future-proofing the business towards digitalization.

This study aimed to assess EDC’s current WiMAX-based IIoT infrastructure and its position to migrate to a more resilient and scalable IIoT network. Furthermore, this study developed a strategic technology roadmap to manage the migration plan based on EDC’s financial, business, and technology standpoint.

A technology foresight approach, with a focus on technology roadmapping, is adopted in this study to understand EDC's current and future business requirements related to digitalization. This aligns with market and technology trends in EDC’s environmental landscape. Furthermore, the current business goals helped create a technology roadmap, with a primary focus on migrating EDC’s IIoT system. Through surveys, interviews, and focus group discussions, key projects and initiatives are identified to ensure a smooth migration of the IIoT system within the next ten years.

Overall, the results of this study recommend adopting a hybrid IIoT system as part of EDC’s digital roadmap. Furthermore, the technology roadmap identifies gaps in governance frameworks and workforce capabilities, as well as critical risk mitigation activities that EDC should consider to ensure the success of the IIoT migration and its associated initiatives. The technology roadmap should be revisited as frequently as possible to align each activity with EDC's evolving business goals. By doing so, the technology roadmap serves as a strategic basis for minimizing migration risks and strengthening EDC’s capacity for long-term digital transformation

The Philippine government’s push for digitalization and financial inclusion is hindered by fragmented payment systems in public transportation, where multiple proprietary cards and apps create cost, inefficiency, and usability burdens especially for low-income and unbanked commuters. Despite this, national payment rails such as InstaPay, PESONet, QR Ph, and open-loop pilots like MRT-3 demonstrate the feasibility of interoperable, account-based transit payments.

This study applies a Ten-Stage Scenario-Building Methodology to explore future pathways for interoperable transport payments over a 10-15 year horizon. Drawing on frameworks such as digital leapfrogging, inclusive innovation, and platform ecosystems, it develops four scenarios reflecting varying levels of institutional capacity, policy alignment, and public trust.

Findings highlight interoperability as a socio-technical and governance challenge. The study proposes a people-centered roadmap, including establishing a multi-agency AFCS governance body, embedding inclusion in standards, scaling pilots through regulatory sandboxes, and strengthening cybersecurity, data privacy, and consumer protection.