Abdul Nasir, Nur Syakinah and Abdull Rahman, Nurul Labanihuda and Abd Mutalib, Hasyeilla and Abdull Rahman, Rabeatul Husna (2023) A review and bibliometric analysis of online food delivery by using scopus database. GATR Journal of Management and Marketing Review, 7 (3). pp. 160-169. ISSN 0128-2603
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Official URL: http://dx.doi.org/10.35609/jmmr.2022.7.3(8)
Abstract
" Purpose - Academic research on online food delivery has mainly addressed its economic and social implications. Due to technological advancement, online food delivery services have grown in popularity in Malaysia. The Internet and mobile technology make it easy to use mobile devices to access online food delivery services. Methodology - This study aimed to analyse the bibliometric characteristics of worldwide research trends, publication growth, publishing outputs by nations, themes of interest, and author keyword co-occurrences. This article presents a bibliometric analysis of online food delivery services, which was conducted using the VOS viewer software and data retrieved from the Scopus database. The Scopus database yielded around 893 papers published between 1995 and 2022. Findings - The findings highlighted that medicine accounted for most of the papers, followed by business, management, accounting, computer science, and social sciences. The ""COVID-19 epidemic"" appears the most frequently in the publications, followed by ""e-commerce."" The results highlighted the co-occurrences of author keywords, ""covid-19 pandemic,"" has 103 linkages. Novelty - This supports the claims made in the earlier studies that the COVID-19 pandemic had affected consumer choices for online food delivery services. It can be inferred that future studies may use the findings to explore problems with online meal delivery services. Type of Paper - Empirical"
Item Type: | Article |
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Uncontrolled Keywords: | Bibliometric Analysis; Scopus Database; VOS Viewer; Online Food Delivery; E-Commerce. |
Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD30.213 Management information systems. Decision support systems |
Divisions: | Management and Human Resource Development |
ID Code: | 108825 |
Deposited By: | Muhamad Idham Sulong |
Deposited On: | 09 Dec 2024 07:49 |
Last Modified: | 09 Dec 2024 07:49 |
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