Overview

This HRIS research study and B2B online research study focused on understanding the evolving HR technology landscape, including HR information system (HRIS) usage, system integration, and adoption of automation and AI within HR operations. The objective was to gather deep insights from HR decision-makers on their organization’s enterprise HR systems, operational challenges, and future readiness for AI-driven processes. This delivered strong HRIS landscape research study B2B insights and valuable HR strategy insights for organizations navigating technology change.

The research explored:

• Current HRIS usage and system integration levels

• Adoption of automation and AI in HR functions

• Operational challenges within HR processes

• Technology consolidation plans and investment priorities

The study was conducted across Singapore and the Philippines, targeting HR professionals actively involved in HR technology decision-making within their organizations. This regional focus also contributed to understanding HR digital transformation trends in Southeast Asia and broader B2B research on HR software adoption trends.

Business Challenge

Capturing reliable insights from a specialized B2B audience such as HR decision-makers presents inherent challenges. The niche nature of the audience, combined with the need for high-quality and informed responses, required a carefully structured and targeted approach. This was especially important for generating meaningful HR decision makers research and reliable B2B market research outcomes.

Key challenges included:

• Accessing and engaging HR professionals with decision-making authority

• Ensuring respondents had meaningful involvement in decision making process for HR technology selection and usage

• Managing lower incidence rates typical of online B2B surveys

• Capturing detailed insights on complex enterprise systems within a short survey duration

Executing the study required precise targeting, strong respondent validation, and high-quality data collection protocols to ensure reliable and actionable insights. It also required a strong understanding of challenges in HR technology implementation research and HRIS system integration challenges and insights.

Our Approach

The study was executed with a focus on targeting precision, respondent quality, and depth of insight.

1. Advanced Sampling & Profiling

The study targeted HR decision-makers including managers, senior managers, directors, and senior HR leaders. Respondents were required to be actively involved in influencing or making decisions related to HR information systems within their organizations, ensuring relevance and expertise in responses. This strengthened the quality of online panel research for HR professionals insights and ensured credible B2B online survey for HR decision makers participation.

2. Structured Questionnaire Design

The questionnaire was designed to capture key aspects of HR technology adoption, including HRIS usage, system integration, automation, and AI readiness. It also explored operational challenges and future investment priorities, with an average interview length of approximately 15 minutes. This supported deeper analysis of AI adoption in HR operations research study, automation in HR processes adoption research, and enterprise HR technology investment priorities analysis.

3. High-Reliability Data Collection

The survey was deployed as a device-agnostic online study, allowing participation across desktop, mobile, and tablet devices. Strict screening criteria ensured only qualified respondents participated. The study was conducted without collecting personally identifiable information (PII), maintaining respondent privacy while ensuring robust data collection. This methodology supported reliable AI readiness in HR departments survey insights, while also contributing to broader HR analytics insights and system integration HR findings.

4. Seamless Execution at Scale

Initially scoped for 100 completed interviews, the study was expanded based on strong fieldwork performance and respondent quality, resulting in a final delivery of 202 completed interviews. The study achieved an estimated incidence rate of 30–40% and was executed as an adhoc project beginning in February 2026. The final dataset generated useful perspectives on HRIS usage patterns in organizations study, HR tech trends, and the evolving role of workforce technology in enterprise environments.

Results

The study delivered a comprehensive view of HR software adoption, AI in HR, and readiness across organizations in Singapore and the Philippines.

Key outcomes included:

• Insights into current HRIS usage and system integration levels

• Understanding of automation and AI adoption within HR operations

• Identification of operational challenges and inefficiencies

• Clear visibility into HR technology investment priorities and future readiness

The findings provided a strong foundation for understanding enterprise HR transformation, HR digital transformation, and supported data-driven decision-making in HR technology strategy. They also offered useful perspective on HR technology adoption trends in enterprises and HR analytics and system integration study outcomes across the two markets.

Partner with Xcel Global Panel to uncover actionable B2B insights on HR technology adoption, AI readiness, and enterprise transformation through research built for precision, quality, and decision-maker access.