Using Extended Technology Acceptance Model to Assess the Adopt Intention of a Proposed IoT-Based Health Management Tool

Abstract

Advancements in IoT technology contribute to the digital progress of health science. This paper proposes a cloud-centric IoT-based health management framework and develops a system prototype that integrates sensors and digital technology. The IoT-based health management tool can collect real-time health data and transmit it to the cloud, thus transforming the signals of various sensors into shared content that users can understand. This study explores whether individuals in need tend to use the proposed IoT-based technology for health management, which may lead to the new development of digital healthcare in the direction of sensors. The novelty of this research lies in extending the research perspective of sensors from the technical level to the user level and explores how individuals understand and adopt sensors based on innovatively applying the IoT to health management systems. By organically combining TAM with MOA theory, we propose a comprehensive model to explain why individuals develop perceptions of usefulness, ease of use, and risk regarding systems based on factors related to motivation, opportunity, and ability. Structural equation modeling was used to analyze the online survey data collected from respondents. The results showed that perceived usefulness and ease of use positively impacted adoption intention, Perceived ease of use positively affected perceived usefulness. Perceived risk had a negative impact on adoption intention. Readiness was only positively related to perceived usefulness, while external benefits were positively related to perceived ease of use and negatively related to perceived risk. Facilitative conditions were positively correlated with perceived ease of use and negatively correlated with perceived risk. Technical efficacy was positively related to perceived ease of use and perceived usefulness. Overall, the research model revealed the cognitive mechanism that affects the intention of individuals to use the system combining sensors and the IoT and guides the digital transformation of health science.

Framework analysis on the adoption of digital healthcare services among senior citizens by using the extended technology acceptance model (ETAM)

“…A model called the technology acceptance model (TAM) was created to show the relationship of one's adoption towards technology based on perceive usefulness, perceive ease of use, and actual use of system (Zin et al 2023). Over the years, this model has been improved and now includes external variables, attitude, and behavioral intention as additional factors of technology adoption (Liu et al, 2022). ETAM is derived from the TAM that was initiated by Davis et al Venkatesh and Davis (2000) and highlights the importance for researchers to understand the driving factors of perceived usefulness.…”

“…The ETAM is the most appropriate theoretical model to measure user perceived usefulness, perceived ease of use, acceptance and adoption of technology, as well as the actual usage of the application. It is also the basis to several studies that are pertinent to technology adoption and usage of senior citizens (Zin et al 2023, Liu, D., Li, Q., andHan, S., 2022).…”

A Comparative Analysis of Non-Cyanide and Cyanide Gold Leaching Technologies: Lessons Learned from the Failed CLINN GEM Facility and Promising Results of the REVIVE SSMB Project in Itogon, Benguet

“…The Technology Acceptance Model (TAM) has gained widespread acceptance and serves as a precursor model to TRAM. Many researchers have utilized TAM to explore technology acceptance and adoption across various sectors, including smart city facilities, health management with state-of-the-art devices, and technology adoption for learning and teaching (Buyle et al, 2018;Liu et al, 2022;Ndebele & Mbodila, 2022), respectively. We believe that by using this model, we may be able to fully or partially understand why the CLINN GEM failed in Itogon, and in addition, we have comparatively propose to leach the complex gold ore common in the locality which CLINN GEM was unable to recover appreciable Au from hence, the REVIVE SSMB uses the cyanidation method.…”

Adoption of Internet of Things: A systematic literature review and future research agenda

“…organizations from different industries have implemented these technologies into their business models to gain a competitive edge and survive in the market (Bhatt & Chakraborty, 2020). For instance: Healthcare industry has employed IoT devices to track the real‐time location of hospital equipment and communicate with their patients offsite through viable data collection and management (Liu et al, 2022; Umair et al, 2021), agriculture sector used IoT sensors to collect machine metrics and environmental data (Ayaz et al, 2019; Raj et al, 2021), retail sector has tremendously reduced their operational costs by applying IoT technology that helped in automated checkout, smart inventory management, better supply chain management and operating fully automated stores (Lee et al, 2022; Tu, 2018), and IoT for consumers attempts to offer efficiency and convenience on a personal level. Although the smart phone can be viewed as the pinnacle of consumer IoT technology, there are other prominent examples.…”