Understanding Task-Technology Fit in Smartphone Appointment Booking System Adopted by Chinese Hospitals

DOI

10.2991/icmesd-18.2018.187How to use a DOI?

Keywords

Task-Technology Fit, Crowd Queue Management, Smartphone Appointment Booking System.

Abstract

Smartphone is improving the quality of public services in China. Queuing of hospitals is a big problem in the past. But now, with the population of smartphone, patients can easily log in the remote booking servers anywhere and anytime. This study applies the Task-Technology Fit (TTF) theory to reveal what is major factors lead to users’ experience. With the questionnaire and Structural Equation Modeling (SEM) approach, this study finds that multisource queuing, anti-cheating queuing, ubiquitous access, and universal interface are the major factors significantly impact on the TTF perception. And TTF perception is the predictor to the users’ booking performance. This study will give implications for the third-party appointment and booking companies to develop such a kind of hospital information system.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ci-Yong Wang
AU  - An-Ding Zhu
PY  - 2018/05
DA  - 2018/05
TI  - Understanding Task-Technology Fit in Smartphone Appointment Booking System Adopted by Chinese Hospitals
BT  - Proceedings of the 4th Annual International Conference on Management, Economics and Social Development (ICMESD 2018)
PB  - Atlantis Press
SP  - 1089
EP  - 1094
SN  - 2352-5428
UR  - https://doi.org/10.2991/icmesd-18.2018.187
DO  - 10.2991/icmesd-18.2018.187
ID  - Wang2018/05
ER  -