TY - JOUR
T1 - What to Do After a Data Breach?
T2 - Examining Apology and Compensation as Response Strategies for Health Service Providers
AU - Masuch, Kristin
AU - Greve, Maike
AU - Trang, Simon
PY - 2021/12
Y1 - 2021/12
N2 - Innovative IT-enabled health services promise tremendous benefits for customers and service providers alike. Simultaneously, health services by nature process sensitive customer information, and data breaches have become an everyday phenomenon. The challenge that health service providers face is to find effective recovery strategies after data breaches to retain customer trust and loyalty. We theorize and investigate how two widely applied recovery actions (namely apology and compensation) affect customer reactions after a data breach in the specific context of fitness trackers. Drawing on expectation confirmation theory, we argue that the recovery actions derived from practice, apology, and compensation address the assimilation-contrast model’s tolerance range and, thus, always lead to satisfaction with the recovery strategy, which positively influences customers’ behavior. We employ an experimental investigation and collect data from fitness tracker users during a running event. In the end, we found substantial support for our research model. Health service providers should determine specific customer expectations and align their data breach recovery strategies accordingly.
AB - Innovative IT-enabled health services promise tremendous benefits for customers and service providers alike. Simultaneously, health services by nature process sensitive customer information, and data breaches have become an everyday phenomenon. The challenge that health service providers face is to find effective recovery strategies after data breaches to retain customer trust and loyalty. We theorize and investigate how two widely applied recovery actions (namely apology and compensation) affect customer reactions after a data breach in the specific context of fitness trackers. Drawing on expectation confirmation theory, we argue that the recovery actions derived from practice, apology, and compensation address the assimilation-contrast model’s tolerance range and, thus, always lead to satisfaction with the recovery strategy, which positively influences customers’ behavior. We employ an experimental investigation and collect data from fitness tracker users during a running event. In the end, we found substantial support for our research model. Health service providers should determine specific customer expectations and align their data breach recovery strategies accordingly.
KW - Apology
KW - Assimilation-contrast model
KW - Compensation
KW - Data breach response strategies
KW - Expectation confirmation theory
KW - Health data breach recovery action
KW - Health data breach recovery action
KW - Data breach response strategies
KW - Compensation
KW - Apology
KW - Expectation confirmation theory
KW - Assimilation-contrast model
U2 - 10.1007/s12525-021-00490-3
DO - 10.1007/s12525-021-00490-3
M3 - Journal article
AN - SCOPUS:85117697454
SN - 1019-6781
VL - 31
SP - 829
EP - 848
JO - Electronic Markets
JF - Electronic Markets
IS - 4
ER -