The impact of smart tourism applications in destinations on destination brand equity and competitiveness: The case of Istanbul
14 sie 2025
O artykule
Data publikacji: 14 sie 2025
Zakres stron: 120 - 133
Otrzymano: 12 cze 2024
Przyjęty: 28 sty 2025
DOI: https://doi.org/10.2478/ejthr-2025-0009
Słowa kluczowe
© 2025 Murat Ödemiş, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Figure 1:

Confirmatory factor analysis (CFA)
−0.501 | 0.941 | 0.47 | 0.88 | ||||
STD15 | 0.779 | ||||||
STD17 | 0.740 | ||||||
STD16 | 0.789 | ||||||
STD14 | 0.710 | ||||||
STD13 | 0.685 | ||||||
STD20 | 0.657 | ||||||
STD19 | 0.648 | ||||||
STD18 | 0.639 | 0.911 | |||||
STD12 | 0.511 | ||||||
−0.154 | −0.167 | 0.64 | 0.90 | ||||
STD6 | 0.796 | ||||||
STD8 | 0.849 | ||||||
STD9 | 0.833 | ||||||
STD7 | 0.738 | ||||||
STD10 | 0.809 | ||||||
x2/df = 2.877, RMSEA = 0.075, GFI = 0.922, IFI = 0.946, CFI = 0.946 | |||||||
Destination Brand Equity (DBE) | −2.047 | 5.127 | 0.72 | 0.91 | |||
DBE2 | 0.905 | ||||||
DBE3 | 0.925 | ||||||
DBE4 | 0.822 | ||||||
DBE1 | 0.742 | ||||||
−0.357 | 0.154 | 0.56 | 0.86 | 0.916 | |||
DBE18 | 0.761 | ||||||
DBE19 | 0.815 | ||||||
DBE21 | 0.802 | ||||||
DBE17 | 0.687 | ||||||
DBE20 | 0.699 | ||||||
−0.331 | −0.109 | 0.62 | 0.87 | ||||
DBE7 | 0.806 | ||||||
DBE8 | 0.803 | ||||||
DBE5 | 0.786 | ||||||
DBE6 | 0.770 | ||||||
−0.066 | 0.156 | 0.48 | 0.82 | ||||
DBE13 | 0.675 | ||||||
DBE14 | 0.842 | ||||||
DBE16 | 0.551 | ||||||
DBE15 | 0.749 | ||||||
DBE11 | 0.641 | ||||||
x2/df = 2.968, RMSEA = 0.077, GFI = 0.889, IFI = 0.929, CFI = 0.929 | |||||||
−1.131 | −0.048 | 0.62 | 0.93 | ||||
DC12 | 0.805 | ||||||
DC14 | 0.864 | ||||||
DC13 | 0.826 | ||||||
DC15 | 0.777 | ||||||
DC10 | 0.845 | ||||||
DC8 | 0.837 | ||||||
DC9 | 0.680 | ||||||
DC11 | 0.674 | ||||||
−0.048 | −0.086 | 0.51 | 0.85 | ||||
DC35 | 0.616 | ||||||
DC23 | 0.800 | ||||||
DC34 | 0.744 | ||||||
DC33 | 0.711 | ||||||
DC24 | 0.773 | ||||||
DC36 | 0.608 | ||||||
−0.327 | 0.291 | 0.49 | 0.85 | ||||
DC19 | 0.751 | 0.948 | |||||
DC20 | 0.713 | ||||||
DC18 | 0.708 | ||||||
DC21 | 0.788 | ||||||
DC17 | 0.635 | ||||||
DC16 | 0.617 | ||||||
−0.232 | −0.361 | 0.56 | 0.86 | ||||
DC28 | 0.777 | ||||||
DC29 | 0.862 | ||||||
DC30 | 0.843 | ||||||
DC27 | 0.652 | ||||||
DC7 | 0.602 | ||||||
−1.435 | 2.795 | 0.68 | 0.89 | ||||
DC2 | 0.804 | ||||||
DC3 | 0.929 | ||||||
DC1 | 0.780 | ||||||
DC4 | 0.782 | ||||||
x2/df = 2.504, RMSEA = 0.067, GFI = 0.851, IFI = 0.919, CFI = 0.918 |
Correlation analysis
TI | 3.0903 | 0.70318 | 1 | ||||||||
AC | 2.8137 | 0.80175 | .537 |
1 | |||||||
DBA | 4.3906 | 0.80561 | .311 |
1 | |||||||
DBL | 3.6101 | 0.75406 | .368 |
.225 |
.542 |
1 | |||||
DBI | 3.5610 | 0.86170 | .360 |
.294 |
.495 |
.641 |
1 | ||||
DBQV | 3.1095 | 0.76811 | .386 |
.383 |
.254 |
.491 |
.479 |
1 | |||
STDs | 2.9915 | 0.65213 | .929 |
.811 |
.262 |
.354 |
.378 |
.436 |
1 | ||
DBE | 3.6336 | 0.62177 | .457 |
.328 |
.710 |
.859 |
.831 |
.729 |
.461 |
1 | |
DC | 3.6370 | 0.66135 | .512 |
.358 |
,541 |
.602 |
.575 |
.582 |
.513 |
.735 |
1 |
Regression analysis
AC | DBI | 0.294 | 0.086 | 0.316 | 0.294 | 5.615 | 31.526 | 0.000 |
AC | DBQV | 0.383 | 0.147 | 0.367 | 0.383 | 7.587 | 57.556 | 0.000 |
AC | DBL | 0.225 | 0.051 | 0.211 | 0.225 | 4.215 | 17.764 | 0.000 |
TI | DBA | 0.311 | 0.097 | 0.357 | 0.311 | 5.989 | 35.866 | 0.000 |
TI | DBI | 0.360 | 0.129 | 0.441 | 0.360 | 7.045 | 49.630 | 0.000 |
TI | DBQV | 0.386 | 0.149 | 0.422 | 0.386 | 7.646 | 58.458 | 0.000 |
TI | DBL | 0.368 | 0.135 | 0.394 | 0.368 | 7.229 | 52.260 | 0.000 |
STDs | DBE | 0.461 | 0.212 | 0.439 | 0.461 | 9.484 | 89.938 | 0.000 |
DBA | DC | 0.541 | 0.292 | 0.444 | 0.541 | 11.745 | 137.944 | 0.000 |
DBI | DC | 0.575 | 0.330 | 0.441 | 0.575 | 12.831 | 164.635 | 0.000 |
DBQV | DC | 0.582 | 0.339 | 0.501 | 0.582 | 13.086 | 171.249 | 0.000 |
DBL | DC | 0.602 | 0.363 | 0.528 | 0.602 | 13.785 | 190.038 | 0.000 |
DBE | DC | 0.735 | 0.541 | 0.782 | 0.735 | 19.827 | 393.099 | 0.000 |
AC | DC | 0.358 | 0.128 | 0.296 | 0.358 | 7.014 | 49.202 | 0.000 |
TI | DC | 0.512 | 0.263 | 0.482 | 0.512 | 10.905 | 118.911 | 0.000 |
STDs | DC | 0.513 | 0.263 | 0.520 | 0.513 | 10.908 | 118.988 | 0.000 |
Dimensions and sub-dimensions of smart tourism
Urban planning | |
Urban mobility | |
City-wide electricity supply | |
Attention to garbage collection across the city | |
Protection of public structures | |
Accessibility | |
Public transport | |
Accessibility to tourist attractions | |
Information services | |
Electronic appliances/facilities | |
Access to Wi-Fi services throughout the city | |
Access to high-speed internet throughout the city | |
Travel apps providing information to tourists | |
Websites providing information to tourists | |
Social media accounts providing information to tourists | |
Adaptation of local tourism organisations to innovation | |
Innovative projects to improve touristic goods and services | |
Adaptation of tourism enterprises to innovative technologies, such as QR codes, NFC, and RFID | |
Promotion of touristic goods and services | |
Distinctiveness of tourism services compared to other tourist destinations |