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Tracing knowledge evolution flows in scholarly restaurant research: a main path analysis.
Rejeb, Abderahman; Abdollahi, Alireza; Rejeb, Karim; Mostafa, Mohamed M.
  • Rejeb A; Department of Management and Law, Faculty of Economics, University of Rome Tor Vergata, Via Columbia, 2, 00133 Rome, Italy.
  • Abdollahi A; Department of Business Administration, Faculty of Management, Kharazmi University, Tehran, Iran.
  • Rejeb K; Faculty of Sciences of Bizerte, University of Carthage, Tunis, Tunisia.
  • Mostafa MM; Gulf University for Science and Technology, Hawally, Kuwait.
Qual Quant ; : 1-27, 2022 Jun 22.
Article in English | MEDLINE | ID: covidwho-2325805
ABSTRACT
Restaurant research has received significant attention globally. This article aims to examine the evolution and the knowledge structure of restaurant research over the past decades. We also investigate the restaurant research hotspots and knowledge diffusion paths based on 1489 articles extracted from the Web of Science database. Furthermore, we conduct a keyword co-occurrence network analysis and four different types of main path analyses to scrutinize the historical formation of the restaurant research. Results revealed that restaurant research mainly focused on five research themes consumer behavior, consumer satisfaction, social media, green restaurants, and authenticity. While consumer behavior has been the mainstream topic, the focus of this line of research has recently shifted from traditional to luxury and ethnic restaurants. Furthermore, our analysis has detected several recent changes in response to the COVID-19 pandemic. By examining the knowledge structure of restaurant research, we reveal its knowledge diffusion paths and provide avenues for future research in this vast and interdisciplinary research field.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Qual Quant Year: 2022 Document Type: Article Affiliation country: S11135-022-01440-7

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Qual Quant Year: 2022 Document Type: Article Affiliation country: S11135-022-01440-7