An acceptance model for smart watches: Implications for the adoption of future wearable technology

By Ki Joon Kim, Donghee Don Shin. Internet Research, 2015

494 citations recorded by the source corpus.

Purpose – The purpose of this paper is to identify the key psychological determinants of smart watch adoption (i.e. affective quality (AQ), relative advantage (RA), mobility (MB), availability (AV), subcultural appeal) and develops an extended technology acceptance model (TAM) that integrates the findings into the original TAM constructs. Design/methodology/approach – An online survey assessed the proposed psychological determinants of smart watch adoption. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were conducted on collected data (n=363) using the AMOS 22 statistical software. The reliability and validity of the measurement assessing the proposed factor structure were examined via CFA, while the strength and direction of the hypothesized causal paths among the constructs were analyzed via SEM. Findings – The AQ and RA of smart watches were found to be associated with perceived usefulness, while the sense of MB and AV induced by smart watches led to a greater perceived ease of the technology’s use. The results also indicated that the devices’ subcultural appeal and cost were notable antecedents of user attitude (AT) and intention to use, respectively. Originality/value – Though smart watches are becoming increasingly popular, empirical studies on user perceptions of and ATs toward – them remain preliminary. This paper is one of the first scholarly attempts at a systematic prediction of smart watch usage, with implications for the adoption of future wearable technology.

Subfields: Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/f812127c1218346d2df1f2595d155c109c6448c7

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Citations in the corpus

Why do small and medium enterprises use social media marketing and what is the impact: Empirical insights from India (2020, background): “Earlier research also highlights that there is a casual relationship, between cost and adoption of technology (Acquity Group, 2014; Alam & Noor, 2009; Kim & Shin, 2015).”
A systematic review of the smart home literature: A user perspective (2019, background): “Monitoring Health and Lifestyle monitoring Infrared Sensors Wearable sensors Wearable accelerometer Internal sensors (to monitor physiological signs) EGG (epileptic seizure, sleep disorder) Heart rate Blood oxygen level Blood pressure Blood glucose level Temperature [1, 4, 9-15, 17, 18, 49, 6770, 73”
Wearable technologies: The role of usefulness and visibility in smartwatch adoption (2016, methodology): “Second, although TAM is recognized as a very robust framework, some of the previously established TAM hypotheses could not be replicated: While Kim and Shin (2015) found a direct effect between ease of use and attitude toward using smartwatches, this direct effect is not validated in the current stu”