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Chan, Soon Chee (2023) Factors affecting the perception and intention of Singaporeans to adopt mHealth application: An Empirical study. [Dissertation (University of Nottingham only)]

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Abstract

This research provides empirical evidence on the relationship among various factors which affect the intention of mobile health application(mHealth) adoption among Singaporean users. Mobile Health applications have become ubiquitous in the healthcare industry, covering a wide range of disease and clinical use cases.

Therefore, this paper aims to examine the factors that influence mHealth adoption among users in Singapore using a modified conceptual model. The constructs of the conceptual model are extracted from various technology acceptance models, including Unified Theory of Acceptance & Usage of Technology(UTAUT), Technology Acceptance Model(TAM), Theory of Reason Action (TRA), Theory of Planned Behaviour(TPB), Innovation Diffusion Theory (IDT). Research has shown that mHealth has enormous potential to grow. Despite the mHealth usage record being low, most users held a positive attitude toward mHealth adoption. This study will provide insight for health system & mHealth Industry players to understand users’ perceptions towards mHealth adoption and beneficial in strategizing marketing plans and improving the adoption rate. Secondly, it aims to identify users’ concerns which can be the barrier for innovation health institutions & mHealth industry players to achieve a competitive advantage in the health care industry. This study is conducted using Qualtric online survey platform, to comprehend users' perceptions toward intention to adopt mHealth. The regression model is employed to test the hypothesis on the influence of selected constructs Perceived Usefulness (PU), Perceived Ease of Use (PEU), Social Influence (SI), Facilitating Condition (FC), Trust, and Price Value (PV) on local users mHealth adoption decision. The study result shows that Perceived Ease of Use (PEU) and Price Value (PV) has a significant influence on Singaporean users’ intention to adopt mHealth, whereby Price Value (PV) is the strongest predictor among them. The study recommended that mHealth industry player formulate strategies that focus on two constructs that tested significantly affect mHealth adoption decision to improve profitability. On the other hand, regulators are advised to reference other countries that have developed matured mHealth system adoption to improve healthcare delivery.

Item Type:	Dissertation (University of Nottingham only)
Depositing User:	Chan, Soon
Date Deposited:	23 Feb 2023 02:44
Last Modified:	23 Feb 2023 02:44
URI:	https://eprints.nottingham.ac.uk/id/eprint/69853

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