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Marketing Automation: How to Effectively Lead the Advertising Promotion for Social Reconstruction in Hotels

Author

Listed:
  • Xue Sun

    (School of Business and Management, Shanghai International Studies University, Shanghai 200083, China)

  • Yuhao Li

    (School of Business and Management, Shanghai International Studies University, Shanghai 200083, China)

  • Bo Guo

    (School of Business and Management, Shanghai International Studies University, Shanghai 200083, China)

  • Li Gao

    (SILC Business School, Shanghai University, Shanghai 200444, China)

Abstract

With many outdated hotels in urgent need of refurbishment in China, chain hotel groups are under mounting pressure to expand their market share by strengthening advertising performance. This study aims to explore the effects of sender types and anonymous clues on advertising exposure as well as the impacts of the above factors and content narratives on service conversion (e.g., link clicks) for hotel franchise promotion. In addition to increasing exposure action, use of the AA-IDA model can effectively increase the possibility of hotel advertising conversion. Two experiments were employed to examine the impacts of advertising design factors on exposure and conversion rates of hotel franchise promotion. A behavioral experiment and a field experiment were carried out to examine the critical effect of advertising design factors on advertising exposure and conversion. The Wald tests for parameters show that the effect of anonymity on advertising conversion was significant (β = 0.479, p < 0.01). Objective content narratives had a significant positive impact on advertising conversion (β = 0.594, p < 0.01). Furthermore, The ANOVA results show that hoteliers in groups with different design elements applied had significant differences in post-conversion service usage (F = 33.809, p < 0.001). The AA-IDA model provides a new framework for future hotel franchise promotion research. Additionally, the important design factors of promotional ads and their reorganization (e.g., sender types, anonymous clues, and content narratives) had a significant impact on the view action and conversion action.

Suggested Citation

  • Xue Sun & Yuhao Li & Bo Guo & Li Gao, 2023. "Marketing Automation: How to Effectively Lead the Advertising Promotion for Social Reconstruction in Hotels," Sustainability, MDPI, vol. 15(5), pages 1-20, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4397-:d:1084721
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    References listed on IDEAS

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    1. Tsai Chiao Wang & Chia Liang Tsai & Ta Wei Tang, 2018. "Exploring Advertising Effectiveness of Tourist Hotels’ Marketing Images Containing Nature and Performing Arts: An Eye-Tracking Analysis," Sustainability, MDPI, vol. 10(9), pages 1-13, August.
    2. Xueming Luo & Xianghua Lu & Jing Li, 2019. "When and How to Leverage E-commerce Cart Targeting: The Relative and Moderated Effects of Scarcity and Price Incentives with a Two-Stage Field Experiment and Causal Forest Optimization," Information Systems Research, INFORMS, vol. 30(4), pages 1203-1227, December.
    3. Muk, Alexander & Chung, Christina, 2015. "Applying the technology acceptance model in a two-country study of SMS advertising," Journal of Business Research, Elsevier, vol. 68(1), pages 1-6.
    4. Krzysztof Stepaniuk, 2017. "Blog content management in shaping pro recreational attitudes," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(1), pages 146-162, January.
    5. Dickinger, Astrid & Kleijnen, Mirella, 2008. "Coupons going wireless: Determinants of consumer intentions to redeem mobile coupons," Journal of Interactive Marketing, Elsevier, vol. 22(3), pages 23-39.
    6. Chiang-Ming Chen & Yu-Chen Lin & Ho-Wen Yang, 2017. "The effect of advertising on market share instability in the hotel industry," Tourism Economics, , vol. 23(1), pages 214-222, February.
    7. Iii, Randolph J. Trappey & Woodside, Arch G., 2005. "Consumer Responses to Interactive Advertising Campaigns Coupling Short-Message-Service Direct Marketing and TV Commercials," Journal of Advertising Research, Cambridge University Press, vol. 45(4), pages 382-401, December.
    8. Yi-Jen (Ian) Ho & Sanjeev Dewan & Yi-Chun (Chad) Ho, 2020. "Distance and Local Competition in Mobile Geofencing," Information Systems Research, INFORMS, vol. 31(4), pages 1421-1442, December.
    9. Chuan-Hoo Tan & Juliana Sutanto & Chee Wei Phang & Anar Gasimov, 2014. "Using Personal Communication Technologies for Commercial Communications: A Cross-Country Investigation of Email and SMS," Information Systems Research, INFORMS, vol. 25(2), pages 307-327, June.
    10. Hana Choi & Carl F. Mela & Santiago R. Balseiro & Adam Leary, 2020. "Online Display Advertising Markets: A Literature Review and Future Directions," Information Systems Research, INFORMS, vol. 31(2), pages 556-575, June.
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