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Information Clues and Emotional Intentions: A Case Study of the Regional Image of the Cultural and Creative Community

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  • Yulin Chen

    (Department of Mass Communication, Tamkang University, New Taipei City 25137, Taiwan)

Abstract

In order to capture the value of cultural creativity, this study explored regional cultural creativities with different creative forms to understand how people interpret and interact with various regional cultural creative images. This was done by analyzing the abstract (performance) type of cultural creativity and the figurative (commodity) type of cultural creativity, in order to understand how existing regional cultural creativities operate information threads in social media, and how the different forms of content may lead to different levels of participation and feedback. The Cloud Gate Dance Theater can be taken as an example of an abstract cultural creation (performance type), and Green-in-hand as an example of a figurative cultural creativity (commodity type). In this study, all user page content for the period 1 January 2011, to 31 December 2018, and the number of user comments for each post were analyzed, for a total of 4784 posts. Computer science, data mining, big data, and social network analysis were combined to verify the findings of the analyses. Through an application programming interface (API), data and information in social media is extracted. Then data filtering, storage, and analysis is performed with meaningful information extracted for interpretation and for use in text mining to explore the relationship with the public based on content attributes. This study first verifies that the regional image is consistent with the social image location. Second, the information cues results found that information cues could be organized into region personality through any direct or indirect contact. Third, emotional clues can evoke emotions and self-expression, which is seen as an important clue to region emotions. In addition, this study also provides a conceptual framework for understanding how different forms of information, in regards to social management of existing regional cultural creativities, leads to varying levels of participation. Understanding the form of information is a key factor in the acceptance of information by the public. It is a reminder for cultural and creative institutions of the importance of text and images, and of figurative and abstract information planning in social content. In order to improve the competitiveness of the destination, using content interaction through social media to create and enhance a strong brand image is important.

Suggested Citation

  • Yulin Chen, 2019. "Information Clues and Emotional Intentions: A Case Study of the Regional Image of the Cultural and Creative Community," Administrative Sciences, MDPI, vol. 9(2), pages 1-27, May.
    • Handle: RePEc:gam:jadmsc:v:9:y:2019:i:2:p:39-:d:234110
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    as
    1. Papathanassis, Alexis & Knolle, Friederike, 2011. "Exploring the adoption and processing of online holiday reviews: A grounded theory approach," Tourism Management, Elsevier, vol. 32(2), pages 215-224.
    2. Stepchenkova, Svetlana & Zhan, Fangzi, 2013. "Visual destination images of Peru: Comparative content analysis of DMO and user-generated photography," Tourism Management, Elsevier, vol. 36(C), pages 590-601.
    3. Matteucci, Xavier, 2013. "Photo elicitation: Exploring tourist experiences with researcher-found images," Tourism Management, Elsevier, vol. 35(C), pages 190-197.
    4. Chew, Elaine Yin Teng & Jahari, Siti Aqilah, 2014. "Destination image as a mediator between perceived risks and revisit intention: A case of post-disaster Japan," Tourism Management, Elsevier, vol. 40(C), pages 382-393.
    5. Liu, Zhiwei & Park, Sangwon, 2015. "What makes a useful online review? Implication for travel product websites," Tourism Management, Elsevier, vol. 47(C), pages 140-151.
    6. Kaplan, Andreas M. & Haenlein, Michael, 2010. "Users of the world, unite! The challenges and opportunities of Social Media," Business Horizons, Elsevier, vol. 53(1), pages 59-68, January.
    7. Hosany, Sameer & Ekinci, Yuksel & Uysal, Muzaffer, 2006. "Destination image and destination personality: An application of branding theories to tourism places," Journal of Business Research, Elsevier, vol. 59(5), pages 638-642, May.
    8. 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.
    9. Eroglu, Sevgin A. & Machleit, Karen A. & Davis, Lenita M., 2001. "Atmospheric qualities of online retailing: A conceptual model and implications," Journal of Business Research, Elsevier, vol. 54(2), pages 177-184, November.
    10. D. Veena Parboteeah & Joseph S. Valacich & John D. Wells, 2009. "The Influence of Website Characteristics on a Consumer's Urge to Buy Impulsively," Information Systems Research, INFORMS, vol. 20(1), pages 60-78, March.
    11. Netemeyer, Richard G. & Krishnan, Balaji & Pullig, Chris & Wang, Guangping & Yagci, Mehmet & Dean, Dwane & Ricks, Joe & Wirth, Ferdinand, 2004. "Developing and validating measures of facets of customer-based brand equity," Journal of Business Research, Elsevier, vol. 57(2), pages 209-224, February.
    12. Hansen, Flemming, 1976. "Psychological Theories of Consumer Choice," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 3(3), pages 117-142, December.
    13. 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.
    14. Pan, Steve & Lee, Jinsoo & Tsai, Henry, 2014. "Travel photos: Motivations, image dimensions, and affective qualities of places," Tourism Management, Elsevier, vol. 40(C), pages 59-69.
    15. Lo, Iris Sheungting & McKercher, Bob & Lo, Ada & Cheung, Catherine & Law, Rob, 2011. "Tourism and online photography," Tourism Management, Elsevier, vol. 32(4), pages 725-731.
    16. Kim, Hany & Stepchenkova, Svetlana, 2015. "Effect of tourist photographs on attitudes towards destination: Manifest and latent content," Tourism Management, Elsevier, vol. 49(C), pages 29-41.
    17. Munar, Ana María & Jacobsen, Jens Kr. Steen, 2014. "Motivations for sharing tourism experiences through social media," Tourism Management, Elsevier, vol. 43(C), pages 46-54.
    18. Mariani, Marcello M. & Di Felice, Marco & Mura, Matteo, 2016. "Facebook as a destination marketing tool: Evidence from Italian regional Destination Management Organizations," Tourism Management, Elsevier, vol. 54(C), pages 321-343.
    19. Campbell, Margaret C & Keller, Kevin Lane, 2003. "Brand Familiarity and Advertising Repetition Effects," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 292-304, September.
    20. Vu, Huy Quan & Li, Gang & Law, Rob & Ye, Ben Haobin, 2015. "Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos," Tourism Management, Elsevier, vol. 46(C), pages 222-232.
    21. Kim, Angella J. & Ko, Eunju, 2012. "Do social media marketing activities enhance customer equity? An empirical study of luxury fashion brand," Journal of Business Research, Elsevier, vol. 65(10), pages 1480-1486.
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