Examining behavioural intention of using smart health care technology among females: dynamics of social influence and perceived usefulness

Abstract

PurposeThe aim of this study is to comprehend the behavioural intention of females' perception toward smart healthcare technology. The study also examines the moderation effect of social influences between perceived smart healthcare technology and perceived usefulness among female users.Design/methodology/approachTo test the model, this study collected data from female respondents (n = 913) responses. The data were analyzed by structural equation modeling (SEM) using Smart-PLS 3.2. To complement the findings from structural equation modeling, the study also conducted a post-hoc test via experimental research design. The authors also applied a t-test and PROCESS macro analysis to re-confirm the relationship mentioned above.FindingsThe findings revealed that perceived ease of use significantly mediates the relationship between females' perceived smart healthcare technology and intention to use. The findings also show that social influence moderates between smart healthcare technology and the perceived usefulness relationship.Research limitations/implicationsSocial influence is one of the major issues while adopting smart healthcare technology because the respondents perceived that they are accustomed to the technologies related to smart health once their surroundings and social environment influence them.Originality/valueThe current study is a pioneer in the context of a developing country and unique in that it makes two contributions: it extends previous research on smart health technology adoption in the healthcare business by considering females, and it gives a broad knowledge of the female healthcare consumers from emerging nations which can be useful for developing technology-driven healthcare services strategies.

Determinants of adopting eCourier services: the moderating role of resistance to change

“…Because of the absence of reliable list of eCourier users, the study availed convenience sampling method. Convenience sampling is the most extensively used sample technique in psychological research as well as being affordable and widely recognized in information system (IS) research (Gani et al. , 2023).…”

“…Because of the absence of reliable list of eCourier users, the study availed convenience sampling method. Convenience sampling is the most extensively used sample technique in psychological research as well as being affordable and widely recognized in information system (IS) research (Gani et al, 2023). Initially, 500 questionnaires were distributed but a total of 298 people from Bangladesh responded to the survey, of these 38 respondents did not answer some questions, so 38 responses were excluded.…”

“…However, what are the factors that lead to the intention of adopting eCourier has not received much attention. Prior researchers of technology adoption have given attention to performance expectancy (PE) (Gani, Alam, Alam, Chowdhury, & Ahmed, 2022) and social influence (SI) (Gani, Rahman, Bag, & Mia, 2023). Contemporary to that in digital transformation of transportation adoption research, this study would like to offer three additional variables in Unified Theory of Acceptance and Use of Technology (UTAUT) model.…”

Modelling the mass adoption of mobile payment for e-hailing services using SEM-MGA

“…Social Influence (SI). SI can be defined as individuals' perception of how significant others view the use of a particular technology [40]. When it comes to m-payments, consumers often seek the approval and opinions of their family members, friends, or colleagues, which can influence their intention to adopt (IN) [41].…”

Factors of Increasing Intention to Use Information Systems

“…The development of the times and the current era of digitalization forces a situation to accept a technology-based management information system as a source of accurate information for the smooth operation of an organization (Calderon-Monge & Ribeiro-Soriano, 2023), The hospital is no exception as an organization that serves health, a technology-based management information system is implemented to support quality service for patients (Mohammadpour et al, 2021), but various obstacles experienced by hospital management in influencing the intention of its health workers to use the hospital management information system (Ljubicic et al, 2020), the training factor is one of the determinants of the intention of users of hospital information systems (Febrita et al, 2021), utility determines individual interest in using a hospital management information system (Gani et al, 2023), as well as the main driving force in increasing interest in using management information systems is work motivation (Kuo et al, 2018), and intention to use based on aspects of subjective norms and objective norms (Chaveesuk et al, 2022).…”