Author:
Nayak Bishwajit,Bhattacharyya Som Sekhar,Kumar Saurabh,Jumnani Rohan Kumar
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 were analysed using bootstrapping method and examination of the standardized direct and indirect effects in the model.
Findings
The study results indicated that the antecedent factors consisted of push (real-time health information availability), pull (normative environment) and mooring (decision self-efficacy) factors. The mooring factor (MOOR) was related to the push factor but not the pull factor. The MOOR, in turn, was related to the switching intention of Gen Z customers for health wearables adoption.
Research limitations/implications
The research study extended the literature related to the PPM theory in the context of the adoption of health wearables among Gen Z customers in India.
Practical implications
The study outcome would enable managers working in health wearable organizations to understand consumer behaviour towards health wearables.
Social implications
The use of health wearables among Gen Z individuals would lead to future generations adopting a healthy lifestyle resulting in an effective workforce and better economy.
Originality/value
This was one of the few studies which have explored the PPM theory to explore the factors for the adoption of health wearables among Gen Z customers in India.
Subject
Computer Networks and Communications,Sociology and Political Science,Philosophy,Communication
Reference143 articles.
1. From intentions to actions: a theory of planned behavior,1985
2. A bayesian analysis of attribution processes;Psychological Bulletin,1975
3. Remote health monitoring of elderly through wearable sensors;Multimedia Tools and Applications,2019
4. Personalized health monitoring using predictive analytics,2019
5. Persuasive wearable technology design for health and wellness,2012
Cited by
10 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献