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Influencing Factors of China’s Liquor Enterprises’ Communication Effect in Microblog

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Proceedings of the Fourteenth International Conference on Management Science and Engineering Management (ICMSEM 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1190))

Abstract

This paper is to explore the factors influencing communication effect of China’s liquor enterprises in microblog. According to the 5W model, the research subjects are divided into two parts: official microblog accounts and microblog content of liquor enterprises. From the liquor enterprise official microblog, the number of fans, brand awareness, the number of original microblogs are collected. From the microblog content, content attraction, content form and content interactivity are extracted. 4940 microblog data are obtained from Sina Weibo. The proposed hypotheses are tested through multiple linear regressions. The results show that the number of fans, brand awareness and promotions have a significant effect. By group regression according to the company, significant factors includes the number of multimedia, the number of promotions and the number of @ or urls. This research provides a better understanding of communication effect of China’s liquor enterprises in microblog. Liquor companies would like to adopt the microblog platform to improve marketing ability.

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References

  1. Alden, D.L., Mukherjee, A., Hoyer, W.: The effects of incongruity, surprise and positive moderators on perceived humor in television advertising. J. Advert. 29(2), 1–15 (2000)

    Article  Google Scholar 

  2. Baierova, P., Tate, M., Hope, G.: The impact of purpose foe web use on user preferences for web design features. In: PACIS, vol. 12 (2003)

    Google Scholar 

  3. Breschi, S., Malerba, F., Orsenigo, L.: Technological regimes and Schumpeterian patterns of innovation. Econ. J. 110(463), 388–410 (2000)

    Article  Google Scholar 

  4. Chris, M.: Social media measurement. J. Interact. Advert. 10(1), 94–99 (2009)

    Article  Google Scholar 

  5. Dabeer, O., Mehendale, P., Karnik, A.: Timing tweets to increase effectiveness of information campaigns (2011)

    Google Scholar 

  6. Han, M., He, Y.: Evaluation of marketing effect of enterprise microblog activities based on DEA - taking the official microblog of enterprise s as an example. Manag. Rev. 27(7), 137–145 (2015). (in Chinese)

    Google Scholar 

  7. Herr, P.M., Kardes, F.R., Kim, J.: Effects of word-of-mouth and product-attribute information on persuasion: an accessibility-diagnosticity perspective. J. Consum. Res. 17(4), 454–462 (1991)

    Article  Google Scholar 

  8. Jansen, B.J., Zhang, M., et al.: Twitter power: tweets as electronic word of mouth. J. Am. Soc. Inform. Sci. Technol. 60(11), 2169–2188 (2010)

    Article  Google Scholar 

  9. Jin, S., Phua, J.: Following celebrities’ tweets about brands: the impact of Twitter-based electronic word-of-mouth on consumers’ source credibility perception, buying intention, and social identification with celebrities. J. Advert. 43(2), 181–195 (2014)

    Article  Google Scholar 

  10. Kane, G.: The evolutionary implications of social media for organizational knowledge management. Inf. Organ. 27(1), 37–46 (2017)

    Article  Google Scholar 

  11. Kotler, P., Kller, K.: Marketing Management. China Renmin University Press, Beijing (2000)

    Google Scholar 

  12. Lindsey, M., Bonin, N.: Why strategy is key for successful social media sales. Bus. Horiz. 60(4), 473–482 (2017)

    Article  Google Scholar 

  13. Liu, J., Bi, Q., Rui, L.: Evaluation index system construction of weibo public opinion information dissemination effect - based on fuzzy data envelopment analysis. Inf. Theory Pract. 39(12), 31–38 (2016). (in Chinese)

    Google Scholar 

  14. Liu, X.Y., Chao, L.: Information diffusion and opinion leader mathematical modeling based on microblog. IEEE Access 6, 34736–34745 (2018)

    Article  Google Scholar 

  15. Liu, Z., Liu, L., Li, H.: Determinants of information retweeting in microblogging. Internet Res. 22(4), 443–466 (2012)

    Google Scholar 

  16. Lumsdaine, A.: Communication and persuasion. Audiov. Commun. Rev. 2(2), 135–142 (1954)

    Google Scholar 

  17. Pantano, E., Priporas, C.V., Stylos, N.: ‘you will like it!’ using open data to predict tourists’ attitude toward a tourist attraction. Tour. Manag. 60, 430–438 (2017)

    Article  Google Scholar 

  18. Pantano, E., Priporas, V.C., Migliano, G.: Reshaping traditional marketing mix to include social media participation. Eur. Bus. Rev. 31(2), 162–178 (2019)

    Article  Google Scholar 

  19. Pon, R.K., Crdenas, A.F., et al.: Measuring the interestingness of articles in a limited user environment. Inf. Process. Manag. 47(1), 97–116 (2011)

    Article  Google Scholar 

  20. Zhao, Q.: Research on influencing factors of enterprise Weibo communication effect. Ph.D. thesis, Central China Normal University, Beijing (2015). (in Chinese)

    Google Scholar 

  21. Romero, D.M., Meeder, B., Kleinberg, J.: Differences in the mechanics of information diffusion across topics: idioms, political hashtags, and complex contagion on Twitter (2011)

    Google Scholar 

  22. Ries, A., Trout, J.: Positioning the Battle for Your Mind 20th Anniversary. China Machine Press, Beijing (2017)

    Google Scholar 

  23. Suh B, Hong, L., Pirolli, P.: Want to be retweeted? Large scale analytics on factors impacting retweet in Twitter network. In: IEEE Second International Conference on Social Computing, pp. 177–184 (2010)

    Google Scholar 

  24. Xue, J.P., Yu, W.P., Niu, Y.G.: Research on Weibo brand communication effect of e-commerce enterprises - a case study of Yixun Weibo. Soft Sci. 27(12), 67–71 (2013). (in Chinese)

    Google Scholar 

  25. Zaman, T.R., Herbrich, R., et al.: Predicting information spreading in Twitter. In: Workshop on Computational Social Science and the Wisdom of Crowds, vol. 104, no. 45, pp. 17599–17601 (2010)

    Google Scholar 

  26. Zarrell, D.: Science of Reweets [EB/OL] (2009). http://danzarrella.com/the-science-ofretweets-report.html

  27. Zhao, J.J., Wu, W.L., et al.: A short-term trend prediction model of topic over Sina Weibo dataset. J. Comb. Optim. 28(3), 613–625 (2014)

    Article  MathSciNet  Google Scholar 

  28. Zhang, Y., Sun, X., Zhu, Q.H.: Research on influencing factors of Weibo public opinion communication based on ELM model - take Sina Weibo as an example. J. Intell. 33, 438 (2014)

    Google Scholar 

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Acknowledgements

The paper was supported by the National Key Social Science Foundation of China (Grant No. 18AGL010). The authors also declare that there are no conflicts of interest.

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Correspondence to Weiping Yu .

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Si, D., Zu, X., Yu, W. (2020). Influencing Factors of China’s Liquor Enterprises’ Communication Effect in Microblog. In: Xu, J., Duca, G., Ahmed, S., García Márquez, F., Hajiyev, A. (eds) Proceedings of the Fourteenth International Conference on Management Science and Engineering Management. ICMSEM 2020. Advances in Intelligent Systems and Computing, vol 1190. Springer, Cham. https://doi.org/10.1007/978-3-030-49829-0_16

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