Acceptance and adoption of the innovative use of smartphone

Yangil Park · Victor Chen

539 citations0/0 files storedIndustrial Management & Data Systems

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Technology Adoption and User Behaviour Mobile Health and mHealth Applications Health, Technology, Consumer Behavior

Abstract

Purpose The purpose of this study is to investigate human motivations affecting an adoption decision for smartphone among medical doctors and nurses. Design/methodology/approach This study investigates smartphone users' perception based on users' perceived adoption under the self‐efficacy, technology acceptance model (TAM) and innovation attributes leading to an adoption attitude under innovation diffusion theory by providing research constructs for the domain of medical doctors and nurses, testing them with reliability and validity, and demonstrating their distinctiveness with hypothesis testing. Findings The results indicate that behavioral intention to use was largely influenced by perceived usefulness (PU) and attitude toward using smartphone. PU and perceived ease of use positively determine attitude toward using smartphone. Research limitations/implications For researchers, this study shows the possible and valuable adaptation of TAM constructs into the smartphone acceptance of doctors and nurses. The perceptions of smartphone adoption in this study are based on a one‐time survey. For better reliability a longitudinal study to show the measurement of attitudes will be needed. Practical implications One of the important implications is that organizational factors become a significant predictor of users' attitude toward innovative technologies. Originality/value The domain of research, smartphone, is a new technology in some industries; thus smartphone adoption deserves investigation in its own right. Although academic research of smartphone adoption in healthcare is limited, this study contributes to the field by adding an important new investigation.

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References

1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 2019Diffusion of Innovations 1 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies 1991Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation 1995Computer Self-Efficacy: Development of a Measure and Initial Test 1991Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior 1996A Model of the Antecedents of Perceived Ease of Use: Development and Test

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