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Generational homogeneity and heterogeneity in city image perception: an explorative study of Guangzhou

Author

Listed:
  • Dian Wang

    (University of Leicester)

  • Bowen Zhang

    (Shenzhen University)

  • Yingying Wu

    (Communication University of China)

  • Xinwen Zhang

    (Communication University of China)

Abstract

This study examines perceptions of Guangzhou and looks for generational differences in projected image and information channel preferences. Based on a content analysis of 47 official city image advertisements, 16 themes are extracted and tested as traits of Guangzhou’s city image. Targeting all of China, an online questionnaire is undertaken, returning 1601 valid responses covering five generational groups: post-60s, post-70s, post-80s, post-90s, and post-00s. Free factor analysis and Kendall correlation analysis are used. The results suggest that there are no significant differences among the generational groups for information channels or perceptions of Guangzhou, since the dimensions of image perception are similar. However, an emphasis on different traits is identified, suggesting different preferences among generational groups which requires the attention of the city image communication authorities. The purpose of this study is to examine audience perceptions of Guangzhou and to look for generational differences in projected image and information channel preferences. Based on a content analysis of 47 official city promotional videos, 16 themes are extracted and tested as traits of Guangzhou’s city image. Targeting all of China, an online questionnaire is undertaken, returning 1601 valid responses covering five generational groups: post-60s, post-70s, post-80s, post-90s, and post-00s. Free factor analysis and Kendall correlation analysis are used. The results suggest that there are no significant differences among the generational groups for information channels or perceptions of Guangzhou, since the dimensions of image perception are similar. However, an emphasis on different traits is identified, suggesting different preferences among generational groups which require the attention of the city image communication authorities. The similarities in perceptions of the dimensions of city image of the generational groups and the emphases on different traits are similar to existing research. However, a clear and theoretically based generational segmentation is required for future research. Consistency between the projected and perceived images of Guangzhou in all information channels suggest the need of continuous use of integrated marketing communication strategy.

Suggested Citation

  • Dian Wang & Bowen Zhang & Yingying Wu & Xinwen Zhang, 2023. "Generational homogeneity and heterogeneity in city image perception: an explorative study of Guangzhou," Place Branding and Public Diplomacy, Palgrave Macmillan, vol. 19(1), pages 128-142, March.
    • Handle: RePEc:pal:pbapdi:v:19:y:2023:i:1:d:10.1057_s41254-021-00250-2
    DOI: 10.1057/s41254-021-00250-2
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    References listed on IDEAS

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    1. Carolyn P. Egri & David A. Ralston, 2004. "Generation Cohorts and Personal Values: A Comparison of China and the United States," Organization Science, INFORMS, vol. 15(2), pages 210-220, April.
    2. David A Ralston & Carolyn P Egri & Sally Stewart & Robert H Terpstra & Yu Kaicheng, 1999. "Doing Business in the 21st Century with the New Generation of Chinese Managers: A Study of Generational Shifts in Work Values in China," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 30(2), pages 415-427, June.
    3. Pan, Steve & Tsai, Henry & Lee, Jinsoo, 2011. "Framing New Zealand: Understanding tourism TV commercials," Tourism Management, Elsevier, vol. 32(3), pages 596-603.
    4. Tseng, Chi & Wu, Bihu & Morrison, Alastair M. & Zhang, Jingru & Chen, Ying-chen, 2015. "Travel blogs on China as a destination image formation agent: A qualitative analysis using Leximancer," Tourism Management, Elsevier, vol. 46(C), pages 347-358.
    5. Pentecost, Robin & Andrews, Lynda, 2010. "Fashion retailing and the bottom line: The effects of generational cohorts, gender, fashion fanship, attitudes and impulse buying on fashion expenditure," Journal of Retailing and Consumer Services, Elsevier, vol. 17(1), pages 43-52.
    6. Kineta H Hung & Flora Fang Gu & Chi Kin (Bennett) Yim, 2007. "A social institutional approach to identifying generation cohorts in China with a comparison with American consumers," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 38(5), pages 836-853, September.
    7. Xiang, Zheng & Gretzel, Ulrike, 2010. "Role of social media in online travel information search," Tourism Management, Elsevier, vol. 31(2), pages 179-188.
    8. Tessitore, Tina & Pandelaere, Mario & Van Kerckhove, Anneleen, 2014. "The Amazing Race to India: Prominence in reality television affects destination image and travel intentions," Tourism Management, Elsevier, vol. 42(C), pages 3-12.
    9. Li, Xiangping & Li, Xiang (Robert) & Hudson, Simon, 2013. "The application of generational theory to tourism consumer behavior: An American perspective," Tourism Management, Elsevier, vol. 37(C), pages 147-164.
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