The DOI matches its Crossref record; 59 of the 60 references it cites were found in a registry or an index, and 1 are not checked yet.
Digital Influencers, Food and Tourism—A New Model of Open Innovation for Businesses in the Ho.Re.Ca. Sector
Open accessAbstract
The choice of influencer marketing as an endorser for promoting products and services is becoming a more and more effective communication strategy of open innovation.Their use of social media platforms, such as Instagram, allows them to be reached by millions of followers all over the world.As a response to the economic crisis that affected Italy after the first wave of the COVID-19 pandemic, Chiara Ferragni, one of the most endorsed influencers worldwide, started a communication campaign with the aim to promote Italian food and tourist destinations (cities of art, seaside, ski and countryside locations, thermal baths, museums, galleries, hotels, etc.).This study analyses Chiara Ferragni's activity and the dynamic of communication she used via her Instagram (IG) profile to enhance Italian tourist destinations and "local food & wine".Specifically, it measured the contribution of local food used as an evocative factor in the appreciation of a tourist destination and its power in different contexts.Hundreds of posts on the influencer's IG profile were observed using the netnographic analysis.Subsequently, the AGIL model (Adaption, Goal Attainment, Integration, and Latent pattern maintenance) was applied to measure the main dimensions of this communication campaign and its effectiveness to relaunch touristic catering sectors.The study offers a new model of open innovation for advertising and promoting food and catering businesses.
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“There is growing evidence of collaboration between destinations and social media influencers to promote food tourism (Ingrassia et al., 2022).”
From Ethical Veganism as the Future of Tourist Consumption (2026) · cites this paper as Ingrassia et al., 2022
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Cites
Users of the world, unite! The challenges and opportunities of Social Media
Kaplan, A. M., & Haenlein, M. (2010) · Business Horizons · doi:10.1016/j.bushor.2009.09.003 · Cited by 17,875
Why we buy what we buy: A theory of consumption values
Sheth, J. N., Newman, B. I., & Gross, B. L. (1991) · Journal of Business Research · doi:10.1016/0148-2963(91)90050-8 · Cited by 4,930
The Field behind the Screen: Using Netnography for Marketing Research in Online Communities
Kozinets, R. V. (2002) · Journal of Marketing Research · doi:10.1509/jmkr.39.1.61.18935 · Cited by 4,311
Who is the Celebrity Endorser? Cultural Foundations of the Endorsement Process
McCracken, G. (1989) · Journal of Consumer Research · doi:10.1086/209217 · Cited by 3,196
Lou, C., & Yuan, S. (2019) · Journal of Interactive Advertising · doi:10.1080/15252019.2018.1533501 · Cited by 2,795
Djafarova, E., & Rushworth, C. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.11.009 · Cited by 2,520
Business model innovation: it's not just about technology anymore
Chesbrough, H. W. (2007) · Strategy and Leadership · doi:10.1108/10878570710833714 · Cited by 1,886
Schouten, A. P., Janssen, L., & Verspaget, M. (2020) · International Journal of Advertising · doi:10.1080/02650487.2019.1634898 · Cited by 1,422
Ki, C.-W. C., Cuevas, L. M., Chong, S. M., & Lim, H. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102133 · Cited by 949
Choe, J. Y., & Kim, S. (2017) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2017.11.007 · Cited by 738
Research works printed but not linked: 6
- F. Cassia F. Magno Assessing the Power of Social Media Influencers: A Comparison Between Tourism and Cultural Bloggers Predicting Trends and Building Strategies for Consumer Engagement in Retail Environments IGI Global Available online: https://www.igi-global.com/chapter/assessing-the-power-of-social-media-influencers/228220 (accessed on 3 November 2021)
- 2017, LINQIA
- Bellia, 2015, Agri-food products and branding which distinguishes quality. Economic dimension of branded products such as pdo/pgi under EU legislation and value-enhancement strategies Prodotti agroalimentari e segni distintivi di qualità, Econ. Agro-Aliment./Food Econ., 17, 81
- Schomer, 2019, Influencer Marketing Report 2020: Industry Stats & Market Research—Business Insider
- 2019, Chiara Ferragni—Unposted, Directed by Elisa Amoruso—Documentary
- Keinan, 2015, The Blonde Salad
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Smart Production Workers in Terms of Creativity and Innovation: The Implication for Open Innovation
Gajdzik, B., & Wolniak, R. (2022) · Journal of Open Innovation Technology Market and Complexity · doi:10.3390/joitmc8020068 · Cited by 201
Kilipiri, E., Παπαϊωάννου, Ε., & Kotzaivazoglou, I. (2023) · Sustainability · doi:10.3390/su15086374 · Cited by 181
Digital transformation and the new combinations in tourism: A systematic literature review
Gutierriz, I., Ferreira, J. J., & Fernandes, P. O. (2023) · Tourism and Hospitality Research · doi:10.1177/14673584231198414 · Cited by 140
Orea-Giner, A., & Fusté‐Forné, F. (2023) · British Food Journal · doi:10.1108/bfj-11-2022-0962 · Cited by 139
Stecuła, K., & Wolniak, R. (2022) · Journal of Open Innovation Technology Market and Complexity · doi:10.3390/joitmc8020089 · Cited by 128
Metadata
- Authors
- Ingrassia, M., Bellia, C., Giurdanella, C., Columba, P., & Chironi, S.
- Affiliations
- University of Palermo (IT)
- University of Catania (IT)
- Corresponding author
- Ingrassia, Marzia
- Venue
- Journal of Open Innovation: Technology, Market, and Complexity
- Publisher
- Elsevier BV
- Published
- 2022-03
- Volume
- 8
- Issue
- 1
- Pages
- 50
- ISSN
- 2199-8531 (ISSN-L)
- OpenAlex
- W4220921021
- Cited by
- 112
- References
- 59
- Citations by year
- 2026: 20 · 2025: 33 · 2024: 28 · 2023: 16 · 2022: 15
- FWCI
- 33.10
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Journal of Open Innovation Technology Market and Complexity (publishedVersion, cc-by-nc-nd)
- Nova Science Publishers (Nova Science Publishers, Inc.) (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Econstor (Econstor) (submittedVersion, cc-by)
- Funders
- Università di Catania (2020-22, 5A722192154)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Tourism, Leisure and Hospitality Management › Culinary Culture and Tourism
- Social Sciences › Business, Management and Accounting › Tourism, Leisure and Hospitality Management › Diverse Aspects of Tourism Research
- Keywords
- social media influencers, influencer marketing, open innovation, food tourism, Instagram, destination promotion, AGIL model, netnography, COVID-19 economic crisis, tourism advertising
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