| Issue |
ITM Web Conf.
Volume 47, 2022
2022 2nd International Conference on Computer, Communication, Control, Automation and Robotics (CCCAR2022)
|
|
|---|---|---|
| Article Number | 03032 | |
| Number of page(s) | 7 | |
| Section | Control Technology and Robotics Technology | |
| DOI | https://doi.org/10.1051/itmconf/20224703032 | |
| Published online | 23 June 2022 | |
Research on driving forces of service innovations in tourism enterprises–a case study on a tourism group in east China
Wuxi City College of Vocational Technology, Wuxi, China
* Corresponding author: sarah1826@126.com
This article uses case study of a very famous tourism enterprise in China to explore what motivates tourism enterprises to implement service innovations. On the base of literature review, through semi-structured interviews, on-site observation and secondhand data, driving forces of service innovation in Chinese tourism enterprises are concluded by data analysis. Major internal driving forces include development vision, enterprise leaders, and organizational culture. Major external driving forces include changing demand of Chinese residents, demand of the local government to enhance municipal influence, ccompetitive ppressure of surrounding attractions. These internal and external forces motivate Chinese tourism enterprises to carry out service innovations continuously to satisfy tourists’ demands.
Key words: Tourism enterprises / Service innovation / Driving forces / Wuxi Lingshan Cultural Tourism Co., Ltd
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.