IDEAS home Printed from https://ideas.repec.org/a/pal/pbapdi/v19y2023i1d10.1057_s41254-021-00250-2.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41254-021-00250-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1057/s41254-021-00250-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Xiang, Zheng & Gretzel, Ulrike, 2010. "Role of social media in online travel information search," Tourism Management, Elsevier, vol. 31(2), pages 179-188.
    5. 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.
    6. Pan, Steve & Tsai, Henry & Lee, Jinsoo, 2011. "Framing New Zealand: Understanding tourism TV commercials," Tourism Management, Elsevier, vol. 32(3), pages 596-603.
    7. 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.
    8. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Molinillo, Sebastian & Liébana-Cabanillas, Francisco & Anaya-Sánchez, Rafael & Buhalis, Dimitrios, 2018. "DMO online platforms: Image and intention to visit," Tourism Management, Elsevier, vol. 65(C), pages 116-130.
    2. David A. Ralston & Carolyn P. Egri & Charlotte M. Karam & Yongjuan Li & Ping Ping Fu, 2018. "Changes in work values across the regions of China," Asia Pacific Journal of Management, Springer, vol. 35(1), pages 145-179, March.
    3. Talavera, Oleksandr & Yin, Shuxing & Zhang, Mao, 2021. "Tournament incentives, age diversity and firm performance," Journal of Empirical Finance, Elsevier, vol. 61(C), pages 139-162.
    4. Talavera, Oleksandr & Yin, Shuxing & Zhang, Mao, 2016. "Managing the diversity: board age diversity, directors’ personal values, and bank performance," MPRA Paper 71927, University Library of Munich, Germany.
    5. Jackson, Vanessa & Stoel, Leslie & Brantley, Aquia, 2011. "Mall attributes and shopping value: Differences by gender and generational cohort," Journal of Retailing and Consumer Services, Elsevier, vol. 18(1), pages 1-9.
    6. Sabina Lissitsa & Ofrit Kol, 2021. "Four generational cohorts and hedonic m-shopping: association between personality traits and purchase intention," Electronic Commerce Research, Springer, vol. 21(2), pages 545-570, June.
    7. Siu To & Hau Tam, 2014. "Generational Differences in Work Values, Perceived Job Rewards, and Job Satisfaction of Chinese Female Migrant Workers: Implications for Social Policy and Social Services," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 118(3), pages 1315-1332, September.
    8. Song Yang & Bruce W. Stening, 2013. "Mao Meets the Market," Management International Review, Springer, vol. 53(3), pages 419-448, June.
    9. John, Surej P. & De'Villiers, Rouxelle, 2020. "Elaboration of marketing communication through visual media: An empirical analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    10. Lissitsa, Sabina & Kol, Ofrit, 2016. "Generation X vs. Generation Y – A decade of online shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 304-312.
    11. Fabian Froese, 2013. "Work values of the next generation of business leaders in Shanghai, Tokyo, and Seoul," Asia Pacific Journal of Management, Springer, vol. 30(1), pages 297-315, March.
    12. Robert Harmel & Yao-Yuan Yeh, 2015. "China's Age Cohorts: Differences in Political Attitudes and Behavior," Social Science Quarterly, Southwestern Social Science Association, vol. 96(1), pages 214-234, March.
    13. Hao, Ying & Huang, Yuxiu & Cui, Xuegang & Liu, Qiang & Zhang, Yuwen, 2021. "CEO experience and corporate financing decisions: Evidence from a natural experiment in China," China Economic Review, Elsevier, vol. 70(C).
    14. Talavera, Oleksandr & Yin, Shuxing & Zhang, Mao, 2018. "Age diversity, directors' personal values, and bank performance," International Review of Financial Analysis, Elsevier, vol. 55(C), pages 60-79.
    15. Anneli Douglas & Berendien Lubbe & Adrene Rooyen, 2018. "Business travellers’ use of mobile travel applications: a generational analysis," Information Technology & Tourism, Springer, vol. 18(1), pages 113-132, April.
    16. Desa Karamehmedovic, 2019. "Cultural Tourists And The Sources Of Information," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 28(2), pages 533-552, december.
    17. Parment, Anders, 2013. "Generation Y vs. Baby Boomers: Shopping behavior, buyer involvement and implications for retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 20(2), pages 189-199.
    18. Martin Obschonka & Mingjie Zhou & Yixin Zhou & Jianxin Zhang & Rainer K. Silbereisen, 2019. "“Confucian” traits, entrepreneurial personality, and entrepreneurship in China: a regional analysis," Small Business Economics, Springer, vol. 53(4), pages 961-979, December.
    19. Mahan, Joseph E. & Seo, Won Jae & Jordan, Jeremy S. & Funk, Daniel, 2015. "Exploring the impact of social networking sites on running involvement, running behavior, and social life satisfaction," Sport Management Review, Elsevier, vol. 18(2), pages 182-192.
    20. Tao Liu & Ying Zhang & Huan Zhang & Xiping Yang, 2021. "A Methodological Workflow for Deriving the Association of Tourist Destinations Based on Online Travel Reviews: A Case Study of Yunnan Province, China," Sustainability, MDPI, vol. 13(9), pages 1-15, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:pbapdi:v:19:y:2023:i:1:d:10.1057_s41254-021-00250-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.