Details
| Original language | English |
|---|---|
| Pages (from-to) | 107-123 |
| Number of pages | 17 |
| Journal | Electronic markets |
| Volume | 29 |
| Issue number | 1 |
| Early online date | 30 Oct 2017 |
| Publication status | Published - 12 Mar 2019 |
Abstract
The recent boom in wearable technologies generates enormous vital data sets, which are the ideal starting point for new service offers by Big Data Analytics. In a Pay-As-You-Live (PAYL) service, insured track activities, transfer current data on the lifestyles of users, who receive rewards from their insurance companies. The aim of this study is to investigate the readiness of customers to adopt PAYL services using wearable technology by comparing perceived privacy risks and perceived benefits. The research model is developed on a basis of a literature review and expert interviews. By conducting an online survey involving 353 participants, a structural equation modelling approach is used to test the research model. The results show that current privacy risk factors dominate the perceived value of an individual to use PAYL services. Insurance companies, service providers and manufacturers of wearables must therefore primarily work together and offer solutions for greater data security and data protection before focusing on gamification and functional congruence.
Keywords
- intention to use, Pay-As-You-Live service, perceived benefit, perceived privacy risk, Wearable technologies
ASJC Scopus subject areas
- Business, Management and Accounting(all)
- Business and International Management
- Economics, Econometrics and Finance(all)
- Economics and Econometrics
- Computer Science(all)
- Computer Science Applications
- Business, Management and Accounting(all)
- Marketing
- Business, Management and Accounting(all)
- Management of Technology and Innovation
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In: Electronic markets, Vol. 29, No. 1, 12.03.2019, p. 107-123.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Smart services in healthcare
T2 - A risk-benefit-analysis of pay-as-you-live services from customer perspective in Germany
AU - Wiegard, Rouven B.
AU - Breitner, Michael
PY - 2019/3/12
Y1 - 2019/3/12
N2 - The recent boom in wearable technologies generates enormous vital data sets, which are the ideal starting point for new service offers by Big Data Analytics. In a Pay-As-You-Live (PAYL) service, insured track activities, transfer current data on the lifestyles of users, who receive rewards from their insurance companies. The aim of this study is to investigate the readiness of customers to adopt PAYL services using wearable technology by comparing perceived privacy risks and perceived benefits. The research model is developed on a basis of a literature review and expert interviews. By conducting an online survey involving 353 participants, a structural equation modelling approach is used to test the research model. The results show that current privacy risk factors dominate the perceived value of an individual to use PAYL services. Insurance companies, service providers and manufacturers of wearables must therefore primarily work together and offer solutions for greater data security and data protection before focusing on gamification and functional congruence.
AB - The recent boom in wearable technologies generates enormous vital data sets, which are the ideal starting point for new service offers by Big Data Analytics. In a Pay-As-You-Live (PAYL) service, insured track activities, transfer current data on the lifestyles of users, who receive rewards from their insurance companies. The aim of this study is to investigate the readiness of customers to adopt PAYL services using wearable technology by comparing perceived privacy risks and perceived benefits. The research model is developed on a basis of a literature review and expert interviews. By conducting an online survey involving 353 participants, a structural equation modelling approach is used to test the research model. The results show that current privacy risk factors dominate the perceived value of an individual to use PAYL services. Insurance companies, service providers and manufacturers of wearables must therefore primarily work together and offer solutions for greater data security and data protection before focusing on gamification and functional congruence.
KW - intention to use
KW - Pay-As-You-Live service
KW - perceived benefit
KW - perceived privacy risk
KW - Wearable technologies
UR - http://www.scopus.com/inward/record.url?scp=85032708686&partnerID=8YFLogxK
U2 - 10.1007/s12525-017-0274-1
DO - 10.1007/s12525-017-0274-1
M3 - Article
AN - SCOPUS:85032708686
VL - 29
SP - 107
EP - 123
JO - Electronic markets
JF - Electronic markets
SN - 1019-6781
IS - 1
ER -