Perceptual content analysis for city image: a case study of Hong Kong

This paper presents a case study investigating the most salient impressions and unique attractions of Hong Kong, perceived by government officials, inbound visitors and local residents. The study utilizes neural network analytical content analysis as a tool to understand the shared and disparate images and perceptions of the uniqueness of Hong Kong by quantifying the occurrence of open-ended self-reported textual answers by the respondents. The clustering of the answers and perceptual mapping confirms that the stakeholder groups think of Hong Kong as a conventional tourist destination and as a cosmopolitan metropolis. This strong stereotype, which displays an obvious knowledge gap between visitors and residents, as well as inter-group discrepancies, has created obstacles to innovating Hong Kong's image and branding.