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Food and social media: a research stream analysis

Author

Listed:
  • Ruth Areli García-León

    (University of Hamburg)

  • Thorsten Teichert

    (University of Hamburg)

Abstract

Interest in food and online communication is growing fast among marketing and business scholars. Nevertheless, this interest has been not exclusive to these areas. Researchers from different disciplines have focused their research on different concepts, target populations, approaches, methodologies, and theoretical backgrounds, making this growing body of knowledge richer, but at the same time difficult to analyze. In order to have a broader overview of this topic, this study analyzes the existent literature regarding food and social media in social sciences in order to identify the main research streams and themes explored. With this purpose, the present paper uses bibliometric methods to analyze 1356 journal articles by means of factor and social network analysis. The study contributes by revealing 4 clusters containing 11 dominant research streams within the social sciences, determining the linkages among the main research discourses, and recommending new future topics of research.

Suggested Citation

  • Ruth Areli García-León & Thorsten Teichert, 2024. "Food and social media: a research stream analysis," Management Review Quarterly, Springer, vol. 74(2), pages 1145-1183, June.
    • Handle: RePEc:spr:manrev:v:74:y:2024:i:2:d:10.1007_s11301-023-00330-y
    DOI: 10.1007/s11301-023-00330-y
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    1. Ladislav Pilař & Lucie Kvasničková Stanislavská & Jana Pitrová & Igor Krejčí & Ivana Tichá & Martina Chalupová, 2019. "Twitter Analysis of Global Communication in the Field of Sustainability," Sustainability, MDPI, vol. 11(24), pages 1-16, December.
    2. Ying Yang & Mingzhi Wu & Lei Cui, 2012. "Integration of three visualization methods based on co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 659-673, February.
    3. Yi Li & Xiuxiu Xu & Bo Song & Hong He, 2020. "Impact of Short Food Videos on the Tourist Destination Image—Take Chengdu as an Example," Sustainability, MDPI, vol. 12(17), pages 1-13, August.
    4. Simon, Adam F. & Xenos, Michael, 2004. "Dimensional Reduction of Word-Frequency Data as a Substitute for Intersubjective Content Analysis," Political Analysis, Cambridge University Press, vol. 12(1), pages 63-75, January.
    5. Shimiao Li & Nor Siah Jaharuddin, 2021. "Influences of background factors on consumers’ purchase intention in China’s organic food market: Assessing moderating role of word-of-mouth (WOM)," Cogent Business & Management, Taylor & Francis Journals, vol. 8(1), pages 1876296-187, January.
    6. Sahand Ashtab & Robert Campbell, 2021. "Explanatory Analysis of Factors Influencing the Support for Sustainable Food Production and Distribution Systems: Results from a Rural Canadian Community," Sustainability, MDPI, vol. 13(9), pages 1-13, May.
    7. Leigh Martindale, 2021. "‘I will know it when I taste it’: trust, food materialities and social media in Chinese alternative food networks," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 38(2), pages 365-380, June.
    8. Chunhua Niu & Zhixin Jiang & Hongbing Liu & Kehu Yang & Xuping Song & Zhihong Li, 2022. "The influence of media consumption on public risk perception: a meta-analysis," Journal of Risk Research, Taylor & Francis Journals, vol. 25(1), pages 21-47, January.
    9. S. Ravikumar & Ashutosh Agrahari & S. N. Singh, 2015. "Mapping the intellectual structure of scientometrics: a co-word analysis of the journal Scientometrics (2005–2010)," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 929-955, January.
    10. Anna Elizabeth Coates & Charlotte Alice Hardman & Jason Christian Grovenor Halford & Paul Christiansen & Emma Jane Boyland, 2020. "“It’s Just Addictive People That Make Addictive Videos” : Children’s Understanding of and Attitudes towards Influencer Marketing of Food and Beverages by YouTube Video Bloggers," IJERPH, MDPI, vol. 17(2), pages 1-18, January.
    11. Chunmei Gan & Weijun Wang, 2015. "Research characteristics and status on social media in China: A bibliometric and co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1167-1182, November.
    12. Mangold, W. Glynn & Faulds, David J., 2009. "Social media: The new hybrid element of the promotion mix," Business Horizons, Elsevier, vol. 52(4), pages 357-365, July.
    13. Datis Khajeheian & Amir Mohammad Colabi & Nordiana Binti Ahmad Kharman Shah & Che Wan Jasimah Bt Wan Mohamed Radzi & Hashem Salarzadeh Jenatabadi, 2018. "Effect of Social Media on Child Obesity: Application of Structural Equation Modeling with the Taguchi Method," IJERPH, MDPI, vol. 15(7), pages 1-22, June.
    14. Susanne Kummer & Rebecka Milestad, 2020. "The Diversity of Organic Box Schemes in Europe—An Exploratory Study in Four Countries," Sustainability, MDPI, vol. 12(7), pages 1-24, March.
    15. Kuntner, Tobias & Teichert, Thorsten, 2016. "The scope of price promotion research: An informetric study," Journal of Business Research, Elsevier, vol. 69(8), pages 2687-2696.
    16. Faheem Bukhari & Saima Hussain & Rizwan Raheem Ahmed & Dalia Streimikiene & Riaz Hussain Soomro & Zahid Ali Channar, 2020. "Motives and Role of Religiosity towards Consumer Purchase Behavior in Western Imported Food Products," Sustainability, MDPI, vol. 12(1), pages 1-22, January.
    17. Loet Leydesdorff & Ping Zhou, 2008. "Co‐word analysis using the Chinese character set," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(9), pages 1528-1530, July.
    18. Olga Bogolyubova & Philipp Upravitelev & Anastasia Churilova & Yanina Ledovaya, 2018. "Expression of Psychological Distress on Instagram Using Hashtags in Russian and English: A Comparative Analysis," SAGE Open, , vol. 8(4), pages 21582440188, November.
    19. Leydesdorff, Loet & Welbers, Kasper, 2011. "The semantic mapping of words and co-words in contexts," Journal of Informetrics, Elsevier, vol. 5(3), pages 469-475.
    20. Bei-Ni Yan & Tian-Shyug Lee & Tsung-Pei Lee, 2015. "Mapping the intellectual structure of the Internet of Things (IoT) field (2000–2014): a co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1285-1300, November.
    21. R. Filieri & D. Yen & Q. Yu, 2021. "#ILoveLondon: An exploration of the declaration of love towards a destination on Instagram," Post-Print hal-04779111, HAL.
    22. Leydesdroff, Loet, 1989. "Words and co-words as indicators of intellectual organization," Research Policy, Elsevier, vol. 18(4), pages 209-223, August.
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    More about this item

    Keywords

    Food; Social-media; Word-of-mouth; Social-network-analysis; Text-mining; e-WOM;
    All these keywords.

    JEL classification:

    • M00 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - General - - - General

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