Exploring user-generated content related to dining experiences of consumers with food allergies. (February 2020)
- Record Type:
- Journal Article
- Title:
- Exploring user-generated content related to dining experiences of consumers with food allergies. (February 2020)
- Main Title:
- Exploring user-generated content related to dining experiences of consumers with food allergies
- Authors:
- Wen, Han
Park, Eunhye
Tao, Chen-Wei
Chae, Bongsug
Li, Xiaoye
Kwon, Junehee - Abstract:
- Highlights: "Knowledgeable staff" was the most prevalent topic among the 40 topics identified from reviews on AllergyEats.com. Five groups of topics from topic correlation analyses: customized orders, staff efforts, menu options, fried foods and oil, and communication. "Staff efforts" had the highest positive impact on restaurant ratings, while two topics "communications" group had the strongest negative impacts. Abstract: The purpose of this research was to explore and assess factors influencing perceptions of consumers with food allergies toward restaurants when accommodating allergen-free requests. Mixed approaches, including big data analytics (i.e., topic modeling), content analysis, and multiple regression analyses were performed to analyze user-generated reviews for restaurants listed on AllergyEats.com, an information-sharing platform for consumers with food allergies. Among the 40 topics identified, "knowledgeable staff" was the most prevalent topic. Results of topic correlation analyses revealed five groups of topics: customized orders, efforts of staff, menu options, fried foods and oil, and communication with shared latent features. Four topics in the group of "efforts of staff" had the highest positive impact on restaurant ratings, while two topics in the group of "communications" had the strongest negative impacts. Foodservice managers and educators may use the results of this study to better accommodate consumers with food allergies and develop appropriateHighlights: "Knowledgeable staff" was the most prevalent topic among the 40 topics identified from reviews on AllergyEats.com. Five groups of topics from topic correlation analyses: customized orders, staff efforts, menu options, fried foods and oil, and communication. "Staff efforts" had the highest positive impact on restaurant ratings, while two topics "communications" group had the strongest negative impacts. Abstract: The purpose of this research was to explore and assess factors influencing perceptions of consumers with food allergies toward restaurants when accommodating allergen-free requests. Mixed approaches, including big data analytics (i.e., topic modeling), content analysis, and multiple regression analyses were performed to analyze user-generated reviews for restaurants listed on AllergyEats.com, an information-sharing platform for consumers with food allergies. Among the 40 topics identified, "knowledgeable staff" was the most prevalent topic. Results of topic correlation analyses revealed five groups of topics: customized orders, efforts of staff, menu options, fried foods and oil, and communication with shared latent features. Four topics in the group of "efforts of staff" had the highest positive impact on restaurant ratings, while two topics in the group of "communications" had the strongest negative impacts. Foodservice managers and educators may use the results of this study to better accommodate consumers with food allergies and develop appropriate training programs. … (more)
- Is Part Of:
- International journal of hospitality management. Volume 85(2020)
- Journal:
- International journal of hospitality management
- Issue:
- Volume 85(2020)
- Issue Display:
- Volume 85, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 85
- Issue:
- 2020
- Issue Sort Value:
- 2020-0085-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-02
- Subjects:
- Food allergy -- User-Generated Content (UGC) -- Dining experience -- Topic modeling -- Restaurant review
Hotel management -- Periodicals
Restaurant management -- Periodicals
Food service management -- Periodicals
Hôtels -- Gestion -- Périodiques
Restaurants -- Gestion -- Périodiques
Services alimentaires -- Gestion -- Périodiques
Food service management
Hotel management
Restaurant management
Periodicals
647.94 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02784319 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ijhm.2019.102357 ↗
- Languages:
- English
- ISSNs:
- 0278-4319
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.283000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20558.xml