How to measure customers perceived service quality of smart restaurants
Publication type: Journal Article
Publication date: 2025-01-01
scimago Q4
wos Q3
SJR: 0.133
CiteScore: 0.1
Impact factor: 1.1
ISSN: 1470949X, 17415217
Are you a researcher?
Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
0
Total citations:
0
Cite this
GOST |
RIS |
BibTex
Cite this
GOST
Copy
Cheng T. C. et al. How to measure customers perceived service quality of smart restaurants // International Journal of Mobile Communications. 2025. Vol. 1. No. 1.
GOST all authors (up to 50)
Copy
Cheng T. C., Chang Ya. Y., Tsai M. C., Cheng C. C. How to measure customers perceived service quality of smart restaurants // International Journal of Mobile Communications. 2025. Vol. 1. No. 1.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1504/ijmc.2025.10060709
UR - http://www.inderscience.com/link.php?id=10060709
TI - How to measure customers perceived service quality of smart restaurants
T2 - International Journal of Mobile Communications
AU - Cheng, Ta Chen
AU - Chang, Ya Yuan
AU - Tsai, Ming Chun
AU - Cheng, Ching Chan
PY - 2025
DA - 2025/01/01
PB - Inderscience Publishers
IS - 1
VL - 1
SN - 1470-949X
SN - 1741-5217
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2025_Cheng,
author = {Ta Chen Cheng and Ya Yuan Chang and Ming Chun Tsai and Ching Chan Cheng},
title = {How to measure customers perceived service quality of smart restaurants},
journal = {International Journal of Mobile Communications},
year = {2025},
volume = {1},
publisher = {Inderscience Publishers},
month = {jan},
url = {http://www.inderscience.com/link.php?id=10060709},
number = {1},
doi = {10.1504/ijmc.2025.10060709}
}