Attributes of Destination Competitiveness for Island Tourism: Application of Text Data Mining

ABSTRACT Island destinations attract international tourists seeking unique natural, cultural, and lifestyle experiences. However, due to geographical isolation and infrastructural limitations, they often become overdependent on tourism development, challenging sustainable competitiveness. Integrating push‐pull motivation theory and the resource‐based view, this study explores how text mining of tourist experiences can identify key attributes shaping island tourism competitiveness between Bali and Lombok. Results show Bali's competitiveness is driven by human services, cultural attractions, and food quality, while Lombok's strengths lie in natural serenity and marine tourism. Yet, Lombok faces infrastructural and environmental issues, especially cleanliness. The findings stress the value of regional collaboration through resource sharing and coordinated planning and suggest benefits of text mining analytics. As a result, this study contributes to tourism theory and offers actionable insights for enhancing the sustainability and competitiveness of island destinations.