Exploring behavioral factors and emotional mechanisms underlying older adult users' adoption of smart health services: evidence from PLS-SEM and fsQCA.

ABSTRACT:

Introduction

In a population aging society, home-based older adult care as the primary model have experienced a robust growth in demand for smart health services (SHS), reflecting an active response to evolving older adult care needs. However, older adult users' adoption rates are constrained by the interplay of technological and emotional factors, with the underlying mechanisms remain unclear.

Methods

To address this concern, this study integrates the Technology Acceptance Model (TAM) and Emotional Durable Design (EDD) theory to uncover the behavioral factors and emotional driving mechanisms behind older adult users' adoption of SHS. A total of 244 valid questionnaires from older adult users were collected. Partial Least Squares Structural Equation Modeling (PLS-SEM) was em

SUBMITTER: Sun MX 

PROVIDER: S-EPMC12512665 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature