Empirical Analysis of Quantum-Driven Destination Personalization (QDDP) Technique for Enhancing Tourism Experience: A Quantitative Study

Abstract

In this paper, an explorative study of Quantum-Driven Destination Personalization (QDDP) and its effects on improving tourist satisfaction through recommendation is conducted. QDDP is best described as a quantum computing strategy aimed at creating personalized tourist experiences based on customer preferences and behavior in real-time. The aim of this study was to examine the impact of perceived relevance, demographic characteristics and travel experience level on satisfaction as moderated by QDDP in the context of tourists. The methodology employed included three main quantitative techniques: Multiple linear regression to determine the relationship between QDDP and tourist satisfaction, mediated moderation regression analysis to determine whether perceived relevance mediates the relationship between QDDP and tourist satisfaction while the demographic factors (age and income) and travel experience moderate the relationship. A survey was conducted on 500 tourists who had used QDDP-based recommendations, which can be considered sufficient for statistical analysis. The results show that QDDP implementation has a positive impact on tourist satisfaction with a regression coefficient of (0.45), meaning that quantum personalization is in line with tourists’ preferences. Analysis of mediation revealed that perceived relevance only partially mediates this relation and the indirect effect (Sobel, z=4.58) shows that tourists are more satisfied when they consider recommendations as highly relevant. Moreover, moderation analysis also indicated that the interaction effects were significant indicating that younger and higher income tourists were more satisfied (ß = 0.03, p < 0.05 for age; ß = 0.02, p < 0.05 for income) and experienced travelers perceived higher relevance (ß = 0.01, p < 0.05).These results highlight the possibility of using QDDP to create a new generation of tourism recommendations that are tailored to the specific demographic and experience characteristics of the target consumers. The research provides recommendations for the application of QDDP for tourism providers to improve customers’ satisfaction by using personalization technologies with relevance and demographic variables.