User Acceptance of Predictive Analytics on Violence Against Women and Children at Risk: A Field Survey in the Philippines

Government agencies always need innovative technology solutions to cope with changes and manage critical processes, especially in creating policies and decision-making to benefit the vulnerable members of society. To address these needs, information technology solutions with analytics are introduced to government institutions. This study explores the user acceptance of information technology solution with analytics to aid in decision-making in the areas of children at risk, children in conflict with the law and violence against women. This study used the Technology Acceptance Model in assessing the users’ acceptance through a survey conducted among professionals working in a social welfare and development agency in the Philippines. Results show that several variables have significant relationships. Perceived usefulness and perceived ease of used plays an essential role in users’ intentions to use predictive analytics. Further, self-efficacy and facilitating condition positively influences perceived of usefulness and perceived ease of use, while technological complexity is not a significant factor to perceived usefulness. However, it positively influences the perceived ease of use. Overall, the respondents positively accept the predictive analytics on violence against women and children at risk. This work contributes by providing an understanding of user acceptance of innovation used in social welfare and development agency in the Philippines. Practical and research implications are presented.