TY - JOUR
T1 - Managing Change with the Support of Smart Technology
T2 - A Field Investigation of Ride-hailing Services
AU - Kang, Lele
AU - Jiang, Qiqi
AU - Peng, Chih-Hung
AU - Sia, Choon Ling
AU - Liang, Ting-Peng
PY - 2020
Y1 - 2020
N2 - With the support of smart technology, IT-enabled services have become “smart” and have progressively disrupted existing markets. Ride-hailing services (RHSs) are widely regarded as representative of these IT-enabled services. However, few studies on IT-enabled services investigate how the technological attributes of smart technology influence service performance in a continuously changing environment. We developed our research model according to Wixom and Todd’s model, the literature on change management, and the literature on information system postadoption behavior. We conducted a large-scale field study by surveying 380 drivers from major metropolises in mainland China and a post hoc qualitative interpretation to validate our model. We found that smart technological attributes of RHS systems (i.e., monitoring, control, advisory support, and responsive support) positively influence functionality and content quality, which in turn influence service quality. In addition, service quality positively influences drivers’ postadoption attitudes and behaviors, including openness to RHS change, job satisfaction, and continuous usage intentions. Our findings provide important theoretical and practical implications.
AB - With the support of smart technology, IT-enabled services have become “smart” and have progressively disrupted existing markets. Ride-hailing services (RHSs) are widely regarded as representative of these IT-enabled services. However, few studies on IT-enabled services investigate how the technological attributes of smart technology influence service performance in a continuously changing environment. We developed our research model according to Wixom and Todd’s model, the literature on change management, and the literature on information system postadoption behavior. We conducted a large-scale field study by surveying 380 drivers from major metropolises in mainland China and a post hoc qualitative interpretation to validate our model. We found that smart technological attributes of RHS systems (i.e., monitoring, control, advisory support, and responsive support) positively influence functionality and content quality, which in turn influence service quality. In addition, service quality positively influences drivers’ postadoption attitudes and behaviors, including openness to RHS change, job satisfaction, and continuous usage intentions. Our findings provide important theoretical and practical implications.
KW - Smart services
KW - Ride-hailing services
KW - Smart technology
KW - Postadoption behaviors
KW - Openness to RHS change
KW - Mixed data and method
KW - Smart services
KW - Ride-hailing services
KW - Smart technology
KW - Postadoption behaviors
KW - Openness to RHS change
KW - Mixed data and method
U2 - 10.17705/1jais.00647
DO - 10.17705/1jais.00647
M3 - Journal article
SN - 1558-3457
VL - 21
SP - 1594
EP - 1620
JO - Journal of the Association for Information Systems
JF - Journal of the Association for Information Systems
IS - 6
ER -