TY - JOUR
T1 - Willingness to provide personal information
T2 - Perspective of privacy calculus in IoT services
AU - Kim, Dongyeon
AU - Park, Kyuhong
AU - Park, Yongjin
AU - Ahn, Jae-Hyeon
PY - 2019/3
Y1 - 2019/3
N2 - Recent developments in the Internet of Things (IoT) technology provide an unprecedented opportunity for personalized services. To take advantage of this great potential, consumers are willing to provide their personal information at the risk of privacy breach. This paper examines factors affecting the willingness to provide privacy information based on the privacy calculus theory in several IoT services; healthcare, smart home and smart transportation. The proposed model is estimated using survey data collected from 154 people who know the concept of IoT. The results indicate that people do not pay much attention to perceived privacy risk when providing privacy information for a better personalized service. However, in healthcare service, where perceived privacy risk is high, people are not willing to provide their personal information despite the lower expected value from incomplete personalization. Analysis of privacy behavior in the context of IoT services provides implications for and insight into the tradeoff decision between perceived privacy risk and willingness to provide personal information.
AB - Recent developments in the Internet of Things (IoT) technology provide an unprecedented opportunity for personalized services. To take advantage of this great potential, consumers are willing to provide their personal information at the risk of privacy breach. This paper examines factors affecting the willingness to provide privacy information based on the privacy calculus theory in several IoT services; healthcare, smart home and smart transportation. The proposed model is estimated using survey data collected from 154 people who know the concept of IoT. The results indicate that people do not pay much attention to perceived privacy risk when providing privacy information for a better personalized service. However, in healthcare service, where perceived privacy risk is high, people are not willing to provide their personal information despite the lower expected value from incomplete personalization. Analysis of privacy behavior in the context of IoT services provides implications for and insight into the tradeoff decision between perceived privacy risk and willingness to provide personal information.
KW - Degree of personalization
KW - Internet of things
KW - Personal information
KW - Privacy calculus
KW - Degree of personalization
KW - Internet of things
KW - Personal information
KW - Privacy calculus
KW - Degree of personalization
KW - Internet of things
KW - Personal information
KW - Privacy calculus
UR - http://www.scopus.com/inward/record.url?scp=85059315902&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85059315902&origin=recordpage
U2 - 10.1016/j.chb.2018.11.022
DO - 10.1016/j.chb.2018.11.022
M3 - RGC 21 - Publication in refereed journal
SN - 0747-5632
VL - 92
SP - 273
EP - 281
JO - Computers in Human Behavior
JF - Computers in Human Behavior
ER -