TY - JOUR
T1 - Data vulnerability and privacy risk among hotel guests who share personal data
AU - Fakfare, Pipatpong
AU - Manosuthi, Noppadol
AU - Lee, Jin Soo
AU - Jin, Minkyoung
AU - Han, Heesup
AU - Kim, Jinkyung Jenny
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024/9/9
Y1 - 2024/9/9
N2 - This research explores the guests’ perception toward data vulnerability and its impact on the privacy risk, privacy concern, and the perceived benefits of sharing personal data with hotels, which is in response to rising concerns about the personal data collection for service facilitation in hotels. A proposed research framework that explains the antecedents and outcomes of hotel guests’ privacy risk and privacy concern that is related to personal data sharing was examined using the generalized structured component analysis with measurement errors incorporated (GSCAM), the necessary condition analysis (NCA), and a fuzzy-set qualitative comparative analysis (fsQCA). The results expand the antecedents → privacy concerns → outcomes (APCO) model by determining a set of salient variables, such as data access, data breach vulnerabilities, privacy risk, and concern in regards to determining hotel guests’ perceived benefits of sharing personal data. This study provides valuable insights into privacy dynamics, enabling hotel professionals to develop targeted marketing strategies prioritizing both data utilization and guest privacy. It also suggests enhancing data security measures to mitigate concerns and foster trust among guests.
AB - This research explores the guests’ perception toward data vulnerability and its impact on the privacy risk, privacy concern, and the perceived benefits of sharing personal data with hotels, which is in response to rising concerns about the personal data collection for service facilitation in hotels. A proposed research framework that explains the antecedents and outcomes of hotel guests’ privacy risk and privacy concern that is related to personal data sharing was examined using the generalized structured component analysis with measurement errors incorporated (GSCAM), the necessary condition analysis (NCA), and a fuzzy-set qualitative comparative analysis (fsQCA). The results expand the antecedents → privacy concerns → outcomes (APCO) model by determining a set of salient variables, such as data access, data breach vulnerabilities, privacy risk, and concern in regards to determining hotel guests’ perceived benefits of sharing personal data. This study provides valuable insights into privacy dynamics, enabling hotel professionals to develop targeted marketing strategies prioritizing both data utilization and guest privacy. It also suggests enhancing data security measures to mitigate concerns and foster trust among guests.
KW - APCO model
KW - benefits of sharing personal data
KW - Data vulnerability
KW - privacy calculus theory
KW - privacy risk
UR - http://www.scopus.com/inward/record.url?scp=85203516920&partnerID=8YFLogxK
U2 - 10.1177/13567667241276213
DO - 10.1177/13567667241276213
M3 - Journal article
AN - SCOPUS:85203516920
SN - 1356-7667
JO - Journal of Vacation Marketing
JF - Journal of Vacation Marketing
ER -