Exploring the landscape of AI in servicescape: a bibliometric review
This study provides a bibliometric analysis of the expanding landscape of artificial intelligence (AI) within the service sector, utilising data from VOSviewer software. The study utilised a network of bibliographic couplings, where nodes symbolised nations involved in the issue. The analysis was al...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Malaysian Consumer and Family Economics Association
2024
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| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/45920/ |
| _version_ | 1848827526943604736 |
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| author | Airin, Abdul Ghani Norazidah, Shamsudin Imaduddin, Abidin Husna, Hashim Puteri Fadzline, Muhamad Tamyez |
| author_facet | Airin, Abdul Ghani Norazidah, Shamsudin Imaduddin, Abidin Husna, Hashim Puteri Fadzline, Muhamad Tamyez |
| author_sort | Airin, Abdul Ghani |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | This study provides a bibliometric analysis of the expanding landscape of artificial intelligence (AI) within the service sector, utilising data from VOSviewer software. The study utilised a network of bibliographic couplings, where nodes symbolised nations involved in the issue. The analysis was also compared between countries along with its strength of research connections, particularly in the tourism and hospitality field. Key findings have shown that the research community is strong and active, with China, the United States and the United Kingdom playing a significant role in innovating to enhance the service sector using AI. These countries have a robust bibliographic coupling, suggesting a substantial amount of interconnected references and research interests. Gursoy, Kautish, and Ting were recognised as the foremost contributors, and areas of corporate management, social science, and computer science have emerged as significant domains in the research of AI and servicescape. The present study provides a comprehensive bibliometric map that clearly shows various platforms, methods, and technologies that shape the AI trend in servicescape, altering how AI aids servicescape. |
| first_indexed | 2025-11-15T04:02:07Z |
| format | Article |
| id | ump-45920 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T04:02:07Z |
| publishDate | 2024 |
| publisher | Malaysian Consumer and Family Economics Association |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-459202025-10-16T04:51:11Z https://umpir.ump.edu.my/id/eprint/45920/ Exploring the landscape of AI in servicescape: a bibliometric review Airin, Abdul Ghani Norazidah, Shamsudin Imaduddin, Abidin Husna, Hashim Puteri Fadzline, Muhamad Tamyez H Social Sciences (General) This study provides a bibliometric analysis of the expanding landscape of artificial intelligence (AI) within the service sector, utilising data from VOSviewer software. The study utilised a network of bibliographic couplings, where nodes symbolised nations involved in the issue. The analysis was also compared between countries along with its strength of research connections, particularly in the tourism and hospitality field. Key findings have shown that the research community is strong and active, with China, the United States and the United Kingdom playing a significant role in innovating to enhance the service sector using AI. These countries have a robust bibliographic coupling, suggesting a substantial amount of interconnected references and research interests. Gursoy, Kautish, and Ting were recognised as the foremost contributors, and areas of corporate management, social science, and computer science have emerged as significant domains in the research of AI and servicescape. The present study provides a comprehensive bibliometric map that clearly shows various platforms, methods, and technologies that shape the AI trend in servicescape, altering how AI aids servicescape. Malaysian Consumer and Family Economics Association 2024 Article PeerReviewed text en cc_by_sa_4 https://umpir.ump.edu.my/id/eprint/45920/2/7.MAJCAFE-651.pdf Airin, Abdul Ghani and Norazidah, Shamsudin and Imaduddin, Abidin and Husna, Hashim and Puteri Fadzline, Muhamad Tamyez (2024) Exploring the landscape of AI in servicescape: a bibliometric review. Malaysian Journal of Consumer and Family Economics (MAJCAFE), 33. pp. 182-207. ISSN 1511-2802. (Published) https://doi.org/10.60016/majcafe.v33.07 https://doi.org/10.60016/majcafe.v33.07 https://doi.org/10.60016/majcafe.v33.07 |
| spellingShingle | H Social Sciences (General) Airin, Abdul Ghani Norazidah, Shamsudin Imaduddin, Abidin Husna, Hashim Puteri Fadzline, Muhamad Tamyez Exploring the landscape of AI in servicescape: a bibliometric review |
| title | Exploring the landscape of AI in servicescape: a bibliometric review |
| title_full | Exploring the landscape of AI in servicescape: a bibliometric review |
| title_fullStr | Exploring the landscape of AI in servicescape: a bibliometric review |
| title_full_unstemmed | Exploring the landscape of AI in servicescape: a bibliometric review |
| title_short | Exploring the landscape of AI in servicescape: a bibliometric review |
| title_sort | exploring the landscape of ai in servicescape: a bibliometric review |
| topic | H Social Sciences (General) |
| url | https://umpir.ump.edu.my/id/eprint/45920/ https://umpir.ump.edu.my/id/eprint/45920/ https://umpir.ump.edu.my/id/eprint/45920/ |