doi: 10.1633/JISTAP.2025.13.2.1 Citation BibTeX RIS Mendeley

Factors Influencing the Use of Recommendation Systems for Elderly Research in Thailand

• A-Phorn Molee (Department of Information Science, Faculty of Humanities and Social Sciences, Khon Kaen University, Khon Kaen, Thailand)
• Wirapong Chansanam (Department of Information Science, Faculty of Humanities and Social Sciences, Khon Kaen University, Khon Kaen, Thailand)

This study examines factors influencing the use of recommendation systems for elderly research in Thailand through a quantitative research design. The target population comprises researchers experienced in elderly studies from 2012 to 2022, totaling 348 participants. Data were collected via a validated questionnaire (Cronbach’s alpha=0.955). Employing an extended the Unified Theory of Acceptance and Use of Technology 2 model, the study investigates system use behavior (SUB) based on seven core factors: Performance expectancy (PEF), effort expectancy (EFF), social influence, personal innovativeness (INN), hedonic motivation (MOT), facilitating conditions (FAC), and intention behavior (IBV), alongside three additional factors—system quality (SQU), information quality (IQU), and trust. Multiple correlation and regression analyses reveal statistically significant influences (p<0.05) from eight factors. SQU, PEF, EFF, MOT, FAC, and IBV positively influence SUB. Conversely, IQU and INN negatively affect system usage. The predictive model is expressed as: SUB=1.195+0.116 (SQU)-0.268 (IQU)+0.134 (PEF)+0.181 (EFF)-0.406 (INN)+0.137 (MOT)+0.097 (FAC)+0.866 (IBV). These findings underscore the importance of optimizing system features and recognizing the distinct needs and expectations of elderly research communities to enhance the effectiveness of these recommendation systems.