THE EFFECT OF PERFORMANCE EXPECTATIONS AND EFFORT EXPECTATIONS ON TELEMEDICINE ADOPTION THROUGH WORKLOAD AND SELF-EFFICACY

Abstract

This study aims to analyze the factors influencing healthcare workers' intention to adopt Telemedicine, emphasizing the roles of performance expectancy, effort expectancy, social Influence, facilitating conditions, self-efficacy, and Workload. The development of digital health technology has made Telemedicine a crucial solution for increasing the accessibility and efficiency of healthcare services. Therefore, understanding the factors influencing healthcare workers' readiness and intention to use Telemedicine is crucial for optimal implementation of this technology. This study employed a quantitative, cross-sectional survey design. Data were collected through a structured questionnaire distributed to 320 healthcare workers. Data analysis was conducted using the Structural Equation Modeling–Partial Least Squares (SEM-PLS) method to examine the relationships between the variables. The analysis included measurement model evaluation, structural model testing, and an Importance–Performance Map Analysis (IPMA) to identify the constructs with the highest importance for increasing telemedicine adoption. This study found that Workload was the most dominant factor influencing intention to adopt Telemedicine, followed by self-efficacy. Effort expectancy, performance expectancy, and facilitating conditions significantly influenced both variables, while social Influence was insignificant. These results confirm that workload management, ease of use of the system, and increased confidence among healthcare workers are key factors in driving successful telemedicine adoption and increasing adoption intentions.