Digital Influencers, Food and Tourism—A New Model of Open Innovation for Businesses in the Ho.Re.Ca. Sector
Abstract
:1. Introduction
2. Literature Review
2.1. Influencers vs. Celebrities in the Social Media Era
2.2. Credibility, Value Perception, and Purchase Intentions
2.3. Social Media and Destination Image
2.4. Experience of “Local”/“Typical” and Social Media
2.5. Instagram and Influencers
2.6. The Chiara Ferragni Case
3. Materials and Methods
3.1. Netnographic Analysis
3.2. AGIL Method
3.3. Data Collection
3.4. Data Analysis
3.4.1. Netnographic Analysis
- Data from these posts were stored using the Airtable software to create a hybrid spreadsheet–database. In the database, each row was one post extracted from C.F.’s account, and the columns were all data considered (relevant information) for the in-depth examination. Specifically, for each single post the following data were extracted:
- Publishing date;
- Place showed (by geolocation);
- Number of “like”;
- Comments;
- Photo caption;
- “hashtag” or “tag” (to other people or referred to the visited place);
- Number of pictures in the post (from a minimum of 1 to a maximum of 10 photos in total);
- Link associated to the original post.
3.4.2. AGIL Analysis
- Number of posts/stories (also with other involved people such mother, sisters, husband, children, and friends), caption, and use of special tags to identify tour operators or brands of facilities visited (how many times does it show to do unconcealed advertising);
- Number of posts for all categories and number of hashtags with #supplied and @ifexeperience tags, @destination tags, @food tags, @restaurant tags, etc. (for calculation out of total posts published over the weekend to measure the relative frequency);
- Number of feedback (positive/negative) for each post;
- Number of comments (positive/negative) between influencer and followers, from followers to influencer, among followers, and number of comments in the English language;
- Number of posts containing precise information on the characteristics of the product/service presented (information) and relative feedback (n. of emoji and comments such as positive/negative “feedback” that shows that the user has understood the message (about the product/service proposed), number of informational posts provided to followers for each type of topic observed;
- Number of comments of appreciation such as “me too” and appreciations about the place/product of a sharing type of latent content to the post published by the influencer (e.g., “I’ve been there”, “I got married there”, “I’d like to go there”, “I’ve been there too”, etc.).
- 1.
- For each topic, the total score assigned to all dimensions of the AGIL scheme was divided by the maximum score assignable all dimensions (tot. max.) (10 pts for each dimension multiplied by 4 dimensions, which is equal to 40 pts) indicated as TEmax.
- 2.
- For all the topics considered together, DEmax was calculated as the SUM scores assigned to each dimension divided by the maximum score (max,) assignable to each dimension, (max. 5 pts for 2 indicators multiplied by the n° of key-findings observed).
- 3.
- For all the topics considered together, DEΣ was calculated as the SUM scores assigned to each dimension divided by the sum of scores assigned to all dimensions
- 4.
- For each topic, DEmax was calculated as the total score assigned to each dimension of the AGIL scheme divided by the maximum score assignable to each dimension (5 pt × 2 = 10 pt)
- 5.
- For each topic, DEΣ was calculated as the total score assigned to each dimension of the AGIL scheme divided by the SUM of scores assigned to all dimensions (of the same topic)
4. Results
4.1. Results of the Netnographic Analysis
- C.F. on the road to visit a touristic destination (one-day trip or weekend trip, rarely for more than 3 days);
- Presentation of landscapes during travel and of final destination;
- Presentation of the accommodation where C.F. is staying as a comfortable, stunning, and unique place to stay;
- Presentation of C.F.’s room, usually with something impressive (e.g., panoramic view from the window, luxurious bathroom, etc.);
- Presentation of food C.F. is eating at the hotel during breakfast or lunch;
- Storytelling of tourist visits at locations of interest in the selected destination, sometimes with a tourist guide (e.g., City, Museums, sites of historical, architectural, cultural or natural interest;
- C.F. at a traditional restaurant of the visited location eating local food prepared following typical local recipes;
- C.F. back in Milan, seated at a typical or traditional restaurant, often expensive (e.g., Marchesi 1824, in Milan) eating Italian food (very often pizza or pasta).
4.2. Results of AGIL Scheme
4.3. AGIL Dimensions in Each Key Factor
5. Discussion
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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AGIL Dimension | Meaning of AGIL Dimensions | Sub-Dimension | Indicator | DEmax 1 | DEƩ 2 |
---|---|---|---|---|---|
Dimension A ADAPTION | Persuasion (ability of the influencer to persuade followers and change preferences and behaviors) | Brand recognition | Number of “like” over each post | 76.67% | 27.71% |
Value added to touristic destination and typical local food | Promotion and advertising | Number of “hashtag” and “tag” used in the caption post | |||
Dimension G GOAL ATTAINMENT | Advertising and Promotion (information about product/service) | Content quality | Clarity and explicit references about promotional messages | 85.00% | 30.72% |
Feedback about information on touristic destination and typical local food provided | Information quality | Number of positive and negative followers’ feedback | |||
Dimension I INTEGRATION | Power of Community | Interactions and bonds among followers | Number of followers’ interactions | 55.00% | 19.88% |
Interaction and bonding among followers | Interactions and bonds among followers worldwide (international profiles) | Number of interactions among followers of different countries (not only Italian followers) | |||
Dimension L LATENT PATTERN MAINTENANCE | Identification of followers with the Influencer | Identification with the influencer’s post/situation published | Number of comments with regard to the influencer | 60.00% | 21.69% |
Peer-to-peer recommendations on tourist destination and typical local food | Interaction between the influencer and her followers | Number of influencer interactions with regard to her followers |
Topic | TEmax 1 | Dimension Effectiveness | Tot. | |||
---|---|---|---|---|---|---|
A | G | I | L | |||
Posts of Touristic Destinations | 78% | 26% 2 | 29% 2 | 16% 2 | 29% 2 | 100% |
80% 3 | 90% 3 | 50% 3 | 90% 3 | - | ||
Posts of Typical Food in Accommodations | 70% | 25% 2 | 29% 2 | 29% 2 | 18% 2 | 100% |
70% 3 | 80% 3 | 80% 3 | 50% 3 | - | ||
Posts of Touristic Accommodations | 68% | 33% 2 | 33% 2 | 15% 2 | 19% 2 | 100% |
90% 3 | 90% 3 | 40% 3 | 50% 3 | - | ||
Posts of Typical Local Food | 65% | 23% 2 | 35% 2 | 19% 2 | 23% 2 | 100% |
60% 3 | 90% 3 | 50% 3 | 60% 3 | - | ||
Posts of Typical Food in a Touristic Destination | 60% | 29% 2 | 25% 2 | 25% 2 | 21% 2 | 100% |
70% 3 | 60% 3 | 60% 3 | 50% 3 | - | ||
Posts of Accessories exhibition with a Touristic Background | 75% | 30% 2 | 33% 2 | 17% 2 | 20% 2 | 100% |
90% 3 | 100% 3 | 50% 3 | 60% 3 | - |
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Ingrassia, M.; Bellia, C.; Giurdanella, C.; Columba, P.; Chironi, S. Digital Influencers, Food and Tourism—A New Model of Open Innovation for Businesses in the Ho.Re.Ca. Sector. J. Open Innov. Technol. Mark. Complex. 2022, 8, 50. https://doi.org/10.3390/joitmc8010050
Ingrassia M, Bellia C, Giurdanella C, Columba P, Chironi S. Digital Influencers, Food and Tourism—A New Model of Open Innovation for Businesses in the Ho.Re.Ca. Sector. Journal of Open Innovation: Technology, Market, and Complexity. 2022; 8(1):50. https://doi.org/10.3390/joitmc8010050
Chicago/Turabian StyleIngrassia, Marzia, Claudio Bellia, Chiara Giurdanella, Pietro Columba, and Stefania Chironi. 2022. "Digital Influencers, Food and Tourism—A New Model of Open Innovation for Businesses in the Ho.Re.Ca. Sector" Journal of Open Innovation: Technology, Market, and Complexity 8, no. 1: 50. https://doi.org/10.3390/joitmc8010050
APA StyleIngrassia, M., Bellia, C., Giurdanella, C., Columba, P., & Chironi, S. (2022). Digital Influencers, Food and Tourism—A New Model of Open Innovation for Businesses in the Ho.Re.Ca. Sector. Journal of Open Innovation: Technology, Market, and Complexity, 8(1), 50. https://doi.org/10.3390/joitmc8010050