Emerging technologies adoption in healthcare: A SOHI model

Abstract

The internet and emerging technologies have increased the utilisation of digital platforms. This study aims to draw on performance expectancy, social influence, and satisfaction to investigate a proposed model which is geared toward social media healthcare information (SOHI) adoption. The proposed model uses a structured online questionnaire, and 300 responses were evaluated using partial least squares and structural equation modelling [PLS-SEM]. From the findings, performance expectancy of social media (PESM) and satisfaction with social media (SATSM) were revealed to be significant predictors of behavioural intention towards social media (BISM). Satisfaction with social media (SATSM) had the greatest impact on BISM, accounting for 63.8 per cent of the variance in users' intentions to utilise SOHI. Similarly, PESM and social influence on social media (SISM) had the most predictive influence on SATSM, accounting for 50.5 per cent of the variance in users' social media satisfaction, which led to SOHI adoption. Unlike others, the social influence on social media (SISM) did not have a significant effect on BISM. BISM and satisfaction with social media (SATSM) were significant predictors of SOHI adoption, accounting for 54.5 per cent of the variance in SOHI adoption. The recommendations in this study would help healthcare professionals change their approach to digital healthcare engagement.

Empirical Investigation of User Attitudes toward Emerging Technologies in Healthcare: Using the SOHI Model

“…Our major theoretical contribution is extending the SOHI model by integrating it with another construct. The previous study focused on BISM and SATSM as the main predictors of SOHI (Ofori and Wang, 2022). In the case of extending the model, another driver comes to the fore.…”

“…In developing the SOHI model, the primary constructs that were adapted were performance expectancy, social influence, behavioural intention (Venkatesh et al, 2003), and satisfaction (Silver, Subramaniam, and Stylianou, 2020; Ofori, Antwi, and Owusu-Ansah, 2021). In their study, Ofori and Wang (2022) recommended that new variables be added to increase the explanatory power of the model. Hence, this study seeks to fill that gap with an expansion of the SOHI model to include an extra variable.…”

Expectant mothers' social media emotional support-seeking behavior

“…In recent years, mobile applications have emerged as a powerful tool for delivering services that can promote and enhance an active lifestyle [1]. The ubiquity and pervasiveness of social media have revolutionized the way individuals interact and obtain information [2]. Social media has emerged as a pervasive and powerful tool that has transformed the way individuals and organizations communicate with one another [3], [4].…”

“…The utilization and implementation of social media within the healthcare sector have garnered noteworthy interest from researchers across the globe [5]. The popularity of social media platforms has grown exponentially, with users relying on them to access a wide range of information, including health-related information [2]. These applications have transformed into decisive devices that enable individuals to access health and fitness-related services in a convenient and personalized manner [1].…”

Using Extraversion to Investigate Social Media Purchase Adoption

“…Interactive websites have risen in popularity since the evolution of the internet. Internet use and new technological changes have enhanced the use of social media (SM) platforms [1]. According to Ofori, Antwi, and Owusu-Ansah [2], the internet has brought a new mode of interaction through social networking sites.…”