Min Zhang1, Meifen Luo2, Rui Nie2, Yan Zhang3. 1. School of Information Management, Wuhan University, 299 Bayi Road, Wuhan, 430072, PR China. Electronic address: zhangmin@whu.edu.cn. 2. School of Information Management, Wuhan University, 299 Bayi Road, Wuhan, 430072, PR China. 3. School of Public Policy and Management, University of Chinese Academy of Sciences, 19A Yuquanlu Road, Shijingshan District, Beijing, 100049, PR China. Electronic address: zhy@ucas.ac.cn.
Abstract
PURPOSE: This paper aims to explore factors influencing the healthcare wearable technology adoption intention from perspectives of technical attributes (perceived convenience, perceived irreplaceability, perceived credibility and perceived usefulness), health attribute (health belief) and consumer attributes (consumer innovativeness, conspicuous consumption, informational reference group influence and gender difference). DESIGN/METHODOLOGY/APPROACH: By integrating technology acceptance model, health belief model, snob effect and conformity and reference group theory, hypotheses and research model are proposed. The empirical investigation (N=436) collects research data through questionnaire. FINDINGS: Results show that the adoption intention of healthcare wearable technology is influenced by technical attributes, health attribute and consumer attributes simultaneously. For technical attributes, perceived convenience and perceived credibility both positively affect perceived usefulness, and perceived usefulness influences adoption intention. The relation between perceived irreplaceability and perceived usefulness is only supported by males. For health attribute, health belief affects perceived usefulness for females. For consumer attributes, conspicuous consumption and informational reference group influence can significantly moderate the relation between perceived usefulness and adoption intention and the relation between consumer innovativeness and adoption intention respectively. What's more, consumer innovativeness significantly affects adoption intention for males. ORIGINALITY/VALUE: This paper aims to discuss technical attributes, health attribute and consumer attributes and their roles in the adoption intention of healthcare wearable technology. Findings may provide enlightenment to differentiate product developing and marketing strategies and provide some implications for clinical medicine.
PURPOSE: This paper aims to explore factors influencing the healthcare wearable technology adoption intention from perspectives of technical attributes (perceived convenience, perceived irreplaceability, perceived credibility and perceived usefulness), health attribute (health belief) and consumer attributes (consumer innovativeness, conspicuous consumption, informational reference group influence and gender difference). DESIGN/METHODOLOGY/APPROACH: By integrating technology acceptance model, health belief model, snob effect and conformity and reference group theory, hypotheses and research model are proposed. The empirical investigation (N=436) collects research data through questionnaire. FINDINGS: Results show that the adoption intention of healthcare wearable technology is influenced by technical attributes, health attribute and consumer attributes simultaneously. For technical attributes, perceived convenience and perceived credibility both positively affect perceived usefulness, and perceived usefulness influences adoption intention. The relation between perceived irreplaceability and perceived usefulness is only supported by males. For health attribute, health belief affects perceived usefulness for females. For consumer attributes, conspicuous consumption and informational reference group influence can significantly moderate the relation between perceived usefulness and adoption intention and the relation between consumer innovativeness and adoption intention respectively. What's more, consumer innovativeness significantly affects adoption intention for males. ORIGINALITY/VALUE: This paper aims to discuss technical attributes, health attribute and consumer attributes and their roles in the adoption intention of healthcare wearable technology. Findings may provide enlightenment to differentiate product developing and marketing strategies and provide some implications for clinical medicine.
Authors: Qing Yang; Abdullah Al Mamun; Naeem Hayat; Mohd Fairuz Md Salleh; Anas A Salameh; Zafir Khan Mohamed Makhbul Journal: Front Public Health Date: 2022-04-28
Authors: Man Lai Cheung; Ka Yin Chau; Michael Huen Sum Lam; Gary Tse; Ka Yan Ho; Stuart W Flint; David R Broom; Ejoe Kar Ho Tso; Ka Yiu Lee Journal: Int J Environ Res Public Health Date: 2019-06-26 Impact factor: 3.390
Authors: Zachary R Gould; Jose Mora-Gonzalez; Elroy J Aguiar; John M Schuna; Tiago V Barreira; Christopher C Moore; John Staudenmayer; Catrine Tudor-Locke Journal: Int J Behav Nutr Phys Act Date: 2021-07-16 Impact factor: 6.457
Authors: Ka Yin Chau; Michael Huen Sum Lam; Man Lai Cheung; Ejoe Kar Ho Tso; Stuart W Flint; David R Broom; Gary Tse; Ka Yiu Lee Journal: Health Psychol Res Date: 2019-09-24