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Tracing knowledge evolution flows in scholarly restaurant research: a main path analysis

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Listed:
  • Abderahman Rejeb

    (University of Rome Tor Vergata)

  • Alireza Abdollahi

    (Kharazmi University)

  • Karim Rejeb

    (University of Carthage)

  • Mohamed M. Mostafa

    (Gulf University for Science and Technology)

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.

Suggested Citation

  • Abderahman Rejeb & Alireza Abdollahi & Karim Rejeb & Mohamed M. Mostafa, 2023. "Tracing knowledge evolution flows in scholarly restaurant research: a main path analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2183-2209, June.
  • Handle: RePEc:spr:qualqt:v:57:y:2023:i:3:d:10.1007_s11135-022-01440-7
    DOI: 10.1007/s11135-022-01440-7
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    1. Manuel Portugal Ferreira & Cláudia Frias Pinto & Fernando Ribeiro Serra, 2014. "The transaction costs theory in international business research: a bibliometric study over three decades," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1899-1922, March.
    2. Shiv Ratan Agrawal & Divya Mittal, 2019. "How Does Transparency Complement Customer Satisfaction and Loyalty in the Restaurant Business?," Global Business Review, International Management Institute, vol. 20(6), pages 1423-1444, December.
    3. Jungwon Yoon & Han Woo Park, 2020. "Pattern and trend of scientific knowledge production in North Korea by a semantic network analysis of papers in journal titled technological innovation," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1421-1438, August.
    4. Henk. J. de Vries & Frank M. Go, 2017. "Developing a common standard for authentic restaurants," The Service Industries Journal, Taylor & Francis Journals, vol. 37(15-16), pages 1008-1028, December.
    5. Louis Y. Y. Lu & John S. Liu, 2013. "An innovative approach to identify the knowledge diffusion path: the case of resource-based theory," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 225-246, January.
    6. Thrane, Christer & Haugom, Erik, 2020. "Peer effects on restaurant tipping in Norway: An experimental approach," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 244-252.
    7. Jorge Mejia & Shawn Mankad & Anandasivam Gopal, 2019. "A for Effort? Using the Crowd to Identify Moral Hazard in New York City Restaurant Hygiene Inspections," Information Systems Research, INFORMS, vol. 30(4), pages 1363-1386, December.
    8. John S. Liu & Louis Y.Y. Lu, 2012. "An integrated approach for main path analysis: Development of the Hirsch index as an example," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(3), pages 528-542, March.
    9. Ben Zhang & Lei Ma & Zheng Liu, 2020. "Literature Trend Identification of Sustainable Technology Innovation: A Bibliometric Study Based on Co-Citation and Main Path Analysis," Sustainability, MDPI, vol. 12(20), pages 1-20, October.
    10. Arun T. M. & Puneet Kaur & Alberto Ferraris & Amandeep Dhir, 2021. "What motivates the adoption of green restaurant products and services? A systematic review and future research agenda," Business Strategy and the Environment, Wiley Blackwell, vol. 30(4), pages 2224-2240, May.
    11. Jang, SooCheong (Shawn) & Namkung, Young, 2009. "Perceived quality, emotions, and behavioral intentions: Application of an extended Mehrabian-Russell model to restaurants," Journal of Business Research, Elsevier, vol. 62(4), pages 451-460, April.
    12. Mindaugas Laužikas & Hailee Tindale & Lukas Tranavičius & Emilis Kičiatovas, 2015. "Effects of consumer behaviour on innovations in fast food industry," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 3(1), pages 85-103, September.
    13. John S. Liu & Louis Y.Y. Lu, 2012. "An integrated approach for main path analysis: Development of the Hirsch index as an example," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(3), pages 528-542, March.
    14. Theodoulidis, Babis & Diaz, David & Crotto, Federica & Rancati, Elisa, 2017. "Exploring corporate social responsibility and financial performance through stakeholder theory in the tourism industries," Tourism Management, Elsevier, vol. 62(C), pages 173-188.
    15. Sunny Ham & Seoki Lee, 2011. "US Restaurant Companies' Green Marketing via Company Websites: Impact on Financial Performance," Tourism Economics, , vol. 17(5), pages 1055-1069, October.
    16. Dejian Yu & Zhaoping Yan, 2021. "Knowledge diffusion of supply chain bullwhip effect: main path analysis and science mapping analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8491-8515, October.
    17. Dejian Yu & Libo Sheng, 2020. "Knowledge diffusion paths of blockchain domain: the main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 471-497, October.
    18. Alireza Abdollahi & Karim Rejeb & Abderahman Rejeb & Mohamed M. Mostafa & Suhaiza Zailani, 2021. "Wireless Sensor Networks in Agriculture: Insights from Bibliometric Analysis," Sustainability, MDPI, vol. 13(21), pages 1-22, October.
    19. Yu, Dejian & Sheng, Libo, 2021. "Influence difference main path analysis: Evidence from DNA and blockchain domain citation networks," Journal of Informetrics, Elsevier, vol. 15(4).
    20. Dixit, Saumya & Jyoti Badgaiyan, Anant & Khare, Arpita, 2019. "An integrated model for predicting consumer's intention to write online reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 112-120.
    21. Yingxue Xia & Hong-Youl Ha, 2021. "Does Customer Orientation Matter? Direct and Indirect Effects in a Service Quality-Sustainable Restaurant Satisfaction Framework in China," Sustainability, MDPI, vol. 13(3), pages 1-16, January.
    22. John S. Liu & Louis Y. Y. Lu & Mei Hsiu-Ching Ho, 2019. "A few notes on main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 379-391, April.
    23. Amer Rajput & Raja Zohaib Gahfoor, 2020. "Satisfaction and revisit intentions at fast food restaurants," Future Business Journal, Springer, vol. 6(1), pages 1-12, December.
    24. Tseng, Fang-Mei & Palma Gil, Eunice Ina N. & Lu, Louis Y.Y., 2021. "Developmental trajectories of blockchain research and its major subfields," Technology in Society, Elsevier, vol. 66(C).
    25. Yu, Dejian & Pan, Tianxing, 2021. "Tracing the main path of interdisciplinary research considering citation preference: A case from blockchain domain," Journal of Informetrics, Elsevier, vol. 15(2).
    26. Perianes-Rodriguez, Antonio & Waltman, Ludo & van Eck, Nees Jan, 2016. "Constructing bibliometric networks: A comparison between full and fractional counting," Journal of Informetrics, Elsevier, vol. 10(4), pages 1178-1195.
    27. Shuo Xu & Liyuan Hao & Xin An & Hongshen Pang & Ting Li, 2020. "Review on emerging research topics with key-route main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 607-624, January.
    28. Dinh Hong Linh & Nguyen Dac Dung & Le Minh Tu & Ho Ngoc Son & Aaron Kingsbury, 2021. "The Responses of Consumers to the Online Ordering and Delivery of Meals by Restaurants During COVID-19: A Case Study of Thai Nguyen City, Vietnam," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 19(3), pages 65-84, July.
    29. Minoo Tehrani & Lawrence Fulton & Bryan Schmutz, 2020. "Green Cities and Waste Management: The Restaurant Industry," Sustainability, MDPI, vol. 12(15), pages 1-22, July.
    30. Bomi Kim & Olav Velthuis, 2021. "From reactivity to reputation management: online consumer review systems in the restaurant industry," Journal of Cultural Economy, Taylor & Francis Journals, vol. 14(6), pages 675-693, November.
    31. Waltman, Ludo & van Eck, Nees Jan, 2015. "Field-normalized citation impact indicators and the choice of an appropriate counting method," Journal of Informetrics, Elsevier, vol. 9(4), pages 872-894.
    32. Xiao, Yu & Lu, Louis Y.Y. & Liu, John S. & Zhou, Zhili, 2014. "Knowledge diffusion path analysis of data quality literature: A main path analysis," Journal of Informetrics, Elsevier, vol. 8(3), pages 594-605.
    33. Adilla Anggraeni & Lucina Iswi Hapsari Sulistyo & Natalia Affandy, 2020. "The Antecedents of Satisfaction and Revisit Intention for Full-Service Restaurants: An Empirical Study of the Food and Beverage Industry in Jakarta," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 11(3), pages 101-118, July.
    34. Chuang, Thomas C. & Liu, John S. & Lu, Louis Y.Y. & Lee, Yachi, 2014. "The main paths of medical tourism: From transplantation to beautification," Tourism Management, Elsevier, vol. 45(C), pages 49-58.
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