Abstract
•A framework to capture factors influencing users’ motivation was developed and was empirically validated with real users of a teleconsultation system.•The framework can be used to understand factors influencing users’ motivation toward technology use.•Autonomy, competence and relatedness together explained 60.1% of the variance in users’ motivation.•Subjective norm, external and internal facilitating conditions explained 67.3% of the variance in users’ autonomy.•Attitude, performance expectancy, external and internal facilitating conditions explained 51.9% of the variance in the users’ competence and subjective norm explained 25.6% of the variance in the users’ relatedness.
The use of the teleconsultation system has increased in recent years, which enabled healthcare providers and patients to share, communicate and transfer information in real-time via different types of telemedicine services and applications. However, there is a lack of studies that underpin factors that motivate patients to use teleconsultation systems.
This study aimed to identify factors that influence consumers’ motivation to use teleconsultation systems by developing a theoretical framework and empirically testing the developed framework with a real-world teleconsultation system.
A cross-sectional study was used for this research to empirically validate the proposed model. The online survey consisted of 51 items, which were developed by the researchers. Partial least squares structural equation modelling (PLS-SEM) was used to analyze the measurement model and structural model.
485 participants completed the online survey, 471 of which were included in the model analysis. The measurement analysis indicated that convergent validity was achieved as all items' outer lording were well above the threshold of 0.70, all indicators reliability and AVEs were well above the threshold of 0.50. Also, the measurement analysis indicated that discriminate validity was achieved as the Heterotrait-Monotrait ratio of correlations for all constructs were below the threshold of 0.90. In the structural model analysis, the inner constructs of the model, autonomy, competence and relatedness explained 60.1% of the variance in users’ motivation toward the use of the teleconsultation system. The outer constructs of the model, subjective norm, external and internal facilitating conditions, explained 67.3% of the variance in users’ autonomy, whereas attitude, performance expectancy, external and internal facilitating conditions explained 51.9% of the variance in the users’ competence, and subjective norm explained 25.6% of the variance in the users’ relatedness.
The developed framework can explain why consumers are motivated to use teleconsultation systems for online medical consultations. The model indicated that a variety of internal and external factors can positively or negatively influence consumers’ perceived autonomy, competence and relatedness, which can impact their motivation toward the use of teleconsultation systems.