2021
DOI: 10.1108/jices-07-2021-0072
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Exploring the factors influencing adoption of health-care wearables among generation Z consumers in India

Abstract: Purpose The purpose of this study is to identify the major factors influencing the adoption of health-care wearables in generation Z (Gen Z) customers in India. A conceptual framework using push pull and mooring (PPM) adoption theory was developed. Design/methodology/approach Data was collected from 208 Gen Z customers based on 5 constructs related to the adoption of health-care wearables. Confirmatory factor analysis and structural equation modelling was used to analyse the responses. The mediation paths we… Show more

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Cited by 14 publications
(6 citation statements)
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“…Generation Z individuals in emerging economies like India form the largest proportion of the young population (Hameed & Mathur, 2020). A study shows how Generation Z has been proactive in adopting healthcare wearables (Nayak et al, 2021). Including other generations in this study might have made the results insignificant based on their lack of awareness and readiness for using disruptive technologies like blockchain.…”
Section: Methodsmentioning
confidence: 99%
“…Generation Z individuals in emerging economies like India form the largest proportion of the young population (Hameed & Mathur, 2020). A study shows how Generation Z has been proactive in adopting healthcare wearables (Nayak et al, 2021). Including other generations in this study might have made the results insignificant based on their lack of awareness and readiness for using disruptive technologies like blockchain.…”
Section: Methodsmentioning
confidence: 99%
“…Several frameworks have been utilized to study these contexts, such as the Cost-Benefit analysis and Technology Acceptance Model (Chang and Hsu, 2019), Stress-Coping Perspective framework (Lim and Choi, 2017), Uses and Gratifications Theory (Kim and Atkin, 2019), and Perceived value literature (Lin and Wang, 2017). These studies, and especially those related to social media, examined the effect of different factors such as service/system quality, dissatisfaction, regret, privacy invasion, alternative attractiveness, peer influence, critical mass, perceived usefulness, enjoyment, switching cost, social influence, habit, social and emotional values (Hou et al ., 2009; Wu et al ., 2017; Guo et al ., 2021; Liao et al ., 2021; Nayak et al ., 2021; Lin and Wang, 2017) (see Table A1 in Appendix 1 for a summary). Although several factors related to social media switching intention have been discussed in the literature, there is room to explore the effects of other important factors such as firm reputation, trust, privacy subjective norm, and affective condition, which have note received the due attention.…”
Section: Background and Theoretical Modelmentioning
confidence: 99%
“…Generasi Z menunjukkan minat dan kesadaran yang cukup baik terhadap kesehatan dan kesejahteraan (Maziriri et al, 2023;Nayak et al, 2022;Su et al, 2019). Mereka cenderung memprioritaskan makanan segar dan alami, serta lebih memilih makanan organik, bersumber lokal, dan berkelanjutan (Julianty, et.al, 2021;Kabir, 2023).…”
Section: Perilaku Makan Pada Generasi Zunclassified