An empirical study of wearable technology acceptance in healthcare

被引:433
作者
Gao, Yiwen [1 ]
Li, He [2 ]
Luo, Yan [3 ]
机构
[1] Southwestern Univ Finance & Econ, Sch Econ Informat Engn, Chengdu, Peoples R China
[2] Univ Memphis, Fogelman Coll Business & Econ, Memphis, TN 38152 USA
[3] Southwestern Univ Finance & Econ, Chengdu, Peoples R China
关键词
Healthcare; Wearable technology; Adoption intention; Fitness wearable device; Medical wearable device; PRIVACY CALCULUS MODEL; INFORMATION-TECHNOLOGY; USER ACCEPTANCE; FEAR APPEALS; E-COMMERCE; PERCEPTIONS; ADOPTION; DETERMINANTS; SATISFACTION; INTEGRATION;
D O I
10.1108/IMDS-03-2015-0087
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Purpose - The purpose of this paper is to investigate the factors associated with consumer's intention to adopt wearable technology in healthcare, and to examine the moderating effects of product type on consumer's adoption intention. Design/methodology/approach - An integrated acceptance model was developed based on unified theory of acceptance and use of technology 2 (UTAUT2), protection motivation theory (PMT), and privacy calculus theory. The model was tested with 462 respondents using a survey. Findings - Consumer's decision to adopt healthcare wearable technology is affected by factors from technology, health, and privacy perspectives. Specially, fitness device users care more about hedonic motivation, functional congruence, social influence, perceived privacy risk, and perceived vulnerability, but medical device users pay more attention to perceived expectancy, self-efficacy, effort expectancy, and perceived severity. Originality/value - This study is among the first to investigate healthcare wearable device from behavioral perspective. It also helps to comprehensively understand emerging health information technology (HIT) acceptance from technology, health, and privacy perspectives.
引用
收藏
页码:1704 / 1723
页数:20
相关论文
共 44 条
[1]   STRUCTURAL EQUATION MODELING IN PRACTICE - A REVIEW AND RECOMMENDED 2-STEP APPROACH [J].
ANDERSON, JC ;
GERBING, DW .
PSYCHOLOGICAL BULLETIN, 1988, 103 (03) :411-423
[2]  
Angst CM, 2009, MIS QUART, V33, P339
[3]  
[Anonymous], 2014, IND MANAGEMENT DATA
[4]  
Awad NF, 2006, MIS QUART, V30, P13
[5]   The impact of personal dispositions on information sensitivity, privacy concern and trust in disclosing health information online [J].
Bansal, Gaurav ;
Zahedi, Fatemeh Mariam ;
Gefen, David .
DECISION SUPPORT SYSTEMS, 2010, 49 (02) :138-150
[6]  
Brown SA, 2005, MIS QUART, V29, P399
[7]   Smart wearable systems: Current status and future challenges [J].
Chan, Marie ;
Esteve, Daniel ;
Fourniols, Jean-Yves ;
Escriba, Christophe ;
Campo, Eric .
ARTIFICIAL INTELLIGENCE IN MEDICINE, 2012, 56 (03) :137-156
[8]   Gender differences in satisfaction with Facebook users [J].
Chan, Tommy K. H. ;
Cheung, Christy M. K. ;
Shi, Na ;
Lee, Matthew K. O. .
INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2015, 115 (01) :182-206
[9]   Attitudes and perceptions of adults of 60 years and older towards in-home monitoring of the activities of daily living with contactless sensors: An explorative study [J].
Claes, Veerle ;
Devriendt, Els ;
Tournoy, Jos ;
Milisen, Koen .
INTERNATIONAL JOURNAL OF NURSING STUDIES, 2015, 52 (01) :134-148
[10]   An extended privacy calculus model for E-commerce transactions [J].
Dinev, T ;
Hart, P .
INFORMATION SYSTEMS RESEARCH, 2006, 17 (01) :61-80