A METHODOLOGICAL FRAMEWORK FOR AI-BASED REPUTATION MONITORING OF COUNTRY’S INTERNATIONAL IMAGE ACROSS TOURISM, INVESTMENT, EDUCATION, AND DIPLOMACY CHANNELS: EXPERIENCE OF COUNTRIES SUCH AS SWEDEN, JAPAN, SOUTH KOREA, SINGAPORE
DOI:
https://doi.org/10.5281/zenodo.19200741Abstract
Presently, there has been growing scholarly attention from policy researchers in public diplomacy studies on
the need to look into the analytical mechanisms that could systematically monitor international reputation dynamics of
nation states in digital communication environments. This study was an attempt to highlight the role of artificial intelligence
analytics and reputation monitoring frameworks in determining country image perceptions in tourism competitiveness &
foreign investment attraction (international perception indicators). Therefore, the methodological framework of the present
study can be used to better comprehend how AI-based monitoring systems could be implemented in enhancing national
reputation management in global communication channels. The previously developed reputation indicators, country
branding dimensions, and international perception variables in nation image studies were used to collect data from policy
analysts in tourism agencies and investment promotion institutions. Saaty’s Analytic Hierarchy Process and structural
equation modeling results on country reputation monitoring and stakeholder perception evaluation increased significantly
after integration with the framework of the AI monitoring model. Additionally, the results of AHP weighting analysis showed
that tourism reputation signals and media-diplomacy sentiment indicators were the main areas of priority to be addressed
by national reputation managers on the basis of tourism-brand perception and media-narrative influence, respectively.
Moreover, the results also showed that out of four dimensions, digital diplomacy engagement played a significant role in
mediating relationships between tourism reputation indicators and investment attractiveness perception. The framework
derived from this study can be used for enhancing AI-based reputation monitoring systems in the context of national
image management.
Keywords
AI-based reputation monitoring, Country reputation management, Digital diplomacy engagement, Tourism reputation signals, Investment sentiment perception, AHP–SEM integration, International perception indicators.References
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