2023
DOI: 10.1108/ejmbe-04-2022-0121
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B2B value co-creation influence on engagement: Twitter analysis at international trade show organizer

Abstract: PurposeThis paper studies, based on the theory of service-dominant logic, the effect of value co-creation practices (linking and materializing) on engagement dimensions (popularity, commitment and virality). The main objective is to analyze the influence of value co-creation practices on engagement at international trade shows organizer association on Twitter.Design/methodology/approachThis paper studies the usage of Twitter by the Specialty Food Association, which organizes one of the top five foods and bever… Show more

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Cited by 2 publications
(2 citation statements)
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References 67 publications
(147 reference statements)
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“…Focusing on Twitter, tourism studies have utilised this data source for sentiment analysis to identify tourist preferences and opinions on tourist services (Nadeau et al, 2022;Philander and Zhong, 2016), geographic information (Chua et al, 2016;Piramanayagam and Seal, 2022;Xin and MacEachren, 2020), promotion of tourist attractions (Bokunewicz and Shulman, 2017;Meehan et al, 2016) and international trade show organisation (Geldres-Weiss et al, 2023). However, only a few studies have analysed the usefulness of big data from Twitter to Twitter and tourism demand analyse tourism demand (e.g.…”
Section: Social Media As a Source Of Prediction Datamentioning
confidence: 99%
See 1 more Smart Citation
“…Focusing on Twitter, tourism studies have utilised this data source for sentiment analysis to identify tourist preferences and opinions on tourist services (Nadeau et al, 2022;Philander and Zhong, 2016), geographic information (Chua et al, 2016;Piramanayagam and Seal, 2022;Xin and MacEachren, 2020), promotion of tourist attractions (Bokunewicz and Shulman, 2017;Meehan et al, 2016) and international trade show organisation (Geldres-Weiss et al, 2023). However, only a few studies have analysed the usefulness of big data from Twitter to Twitter and tourism demand analyse tourism demand (e.g.…”
Section: Social Media As a Source Of Prediction Datamentioning
confidence: 99%
“…As Santiago de Compostela is an international pilgrimage destination, the decision to use hashtags was supported by an exhaustive search for hashtags related to tourism. Previous literature has supported the idea that the use of hashtags on Twitter is a powerful and helpful source of data (Geldres-Weiss et al, 2023;Wang et al, 2016). According to Carvache-Franco et al (2023), using hashtags to gather information is advantageous because it allows the concentration of users' opinions on a specific topic.…”
Section: Twitter and Tourism Demandmentioning
confidence: 99%