Mapping The Knowledge Domain of Metaverse The New Marketing Universe: A Bibliometric Analysis
Abstract
“Metaverse” is the idea of a shared virtual environment that is “parallelized” to the real world thanks to advances in technology. The metaverse world is currently not only used as a platform for playing games but has also been used as a place for doing business. The purpose of this research is to identify articles that study the metaverse in marketing and provide an overview of the Metaverse knowledge domain as a new marketing world and to show and explain the research mapping. This mapping will help researchers explore and develop research related to the metaverse as a new marketing world landscape. Marketing is a promotional activity that can attract consumers to increase sales. Metaverse is a virtual universe that imitates real world procedures. In this 3D virtual environment, users can carry out activities in the digital world like in the real world, as is done with the Gucci brand which uses the metaverse as a marketing medium based on blockchain TheSandbox. This will have a major impact on how companies implement marketing in the future and how people communicate with each other. In Industry 5.0, metaverse has entered the world of marketing and has begun to be used by several companies. So, metaverse becomes a new world in marketing. This research uses qualitative methods with bibliometric techniques by utilizing Visualization of Similarities (Vosviewers) as an application. By entering keywords such as Metaverse; Metaverse marketing; Digital Marketing; New Marketing Universe; Gen z to search for articles via Publish or Perish with a total of 940 articles which were then processed using VosViewers. The results of the analysis found scientific mapping and possible future studies regarding the metaverse as a new marketing world that can be used as variable recommendations for future researchers as a reference for subsequent articles.
Keywords
Full Text:
PDFReferences
T. Brahimi and H. Haneya, “Mapping the Scientific Landscape of Metaverse Using VOSviewer and Bibliometrix,” 20th Int. Learn. Technol. Conf. L T 2023, pp. 8–13, 2023, doi: 10.1109/LT58159.2023.10092363.
O. S. Albahri and A. H. AlAmoodi, “Navigating the Metaverse of Big Data: A Bibliometric Journey,” Mesopotamian J. Big Data, vol. 2023, pp. 92–106, Oct. 2023, doi: 10.58496/MJBD/2023/013.
“Scientometrics Analysis of Metaverse Literatures,” Sci. Focus, vol. 17, no. 1, pp. 17–29, Feb. 2022, doi: 10.15978/J.CNKI.1673-5668.202201002.
A. Tlili et al., “Is Metaverse in education a blessing or a curse: a combined content and bibliometric analysis,” Smart Learn. Environ., vol. 9, no. 1, pp. 1–31, Dec. 2022, doi: 10.1186/S40561-022-00205-X/TABLES/5.
M. Trunfio and S. Rossi, “Advances in Metaverse Investigation: Streams of Research and Future Agenda,” Virtual Worlds 2022, Vol. 1, Pages 103-129, vol. 1, no. 2, pp. 103–129, Oct. 2022, doi: 10.3390/VIRTUALWORLDS1020007.
“Immersive Visualization Systems, Spatial Simulation and Environment Mapping Algorithms, and Decision Intelligence and Modeling Tools in the Web3-powered Metaverse World,” J. Self-Governance Manag. Econ., vol. 10, no. 3, pp. 56–72, 2022.
S. Gordon, “Virtual Navigation and Geospatial Mapping Tools, Customer Data Analytics, and Computer Vision and Simulation Optimization Algorithms in the Blockchain-based Metaverse,” Rev. Contemp. Philos., no. 21, pp. 89–104, 2022.
A. K. Kar and P. S. Varsha, “Unravelling the techno-functional building blocks of metaverse ecosystems – A review and research agenda,” Int. J. Inf. Manag. Data Insights, vol. 3, no. 2, p. 100176, Nov. 2023, doi: 10.1016/J.JJIMEI.2023.100176.
“Immersive 3D Technologies, Spatial Computing and Visual Perception Algorithms, and Event Modeling and Forecasting Tools on Blockchain-based Metaverse Platforms,” Anal. Metaphys., no. 21, pp. 74–90, 2022.
P. Wu, D. Chen, and R. Zhang, “Topic prevalence and trends of Metaverse in healthcare: A bibliometric analysis,” Data Sci. Manag., Dec. 2023, doi: 10.1016/J.DSM.2023.12.003.
S. A. Olaleye, D. Kwafo, A. J. Atobatele, and O. P. Olaoye, “The Bibliometric Commingling of Metaverse and Non-fungible Tokens in Marketing,” Smart Innov. Syst. Technol., vol. 344, pp. 387–399, 2024, doi: 10.1007/978-981-99-0333-7_28/COVER.
K. Hancock, “Geospatial Mapping and Remote Sensing Technologies, Spatial Cognition and Visual Perception Algorithms, and Virtual Navigation and Ambient Scene Detection Tools across the Blockchain-based Metaverse,” Anal. Metaphys., no. 21, pp. 227–243, 2022.
R. Article and G. Bizel, “A Bibliometric Analysis: Metaverse in Education Concept,” J. Metaverse, vol. 3, no. 2, pp. 133–143, Dec. 2023, doi: 10.57019/JMV.1310768.
J. Shen, X. Zhou, W. Wu, L. Wang, and Z. Chen, “Worldwide Overview and Country Differences in Metaverse Research: A Bibliometric Analysis,” Sustain. 2023, Vol. 15, Page 3541, vol. 15, no. 4, p. 3541, Feb. 2023, doi: 10.3390/SU15043541.
L. Bezgi?n Edi??, S. Kiliç, and K. Müge DALDAL, “Bibliometric Analysis of the Academic Development Process of the ‘Metaverse’ in the World and Turkey,” J. Res. Entrep. Innov. Mark., vol. 7, no. 14, pp. 109–125, Dec. 2023, doi: 10.31006/GIPAD.1396827.
N. B. Masters et al., “Social distancing in response to the novel coronavirus (COVID-19) in the United States,” PLoS One, vol. 15, no. 9 September, Sep. 2020, doi: 10.1371/JOURNAL.PONE.0239025.
A. Marcuta, C. Tindeche, E. Tonea, C. Smedescu, D. Smedescu, and L. Marcuta, “METAVERSE AND THE GLOBAL ECONOMY. METAVERSE AND AGRICULTURE-A BIBLIOMETRIC ANALYSIS,” Sci. Pap. Ser. Manag. Econ. Eng. Agric. Rural Dev., vol. 23, p. 2023.
A. Shukla, K. Saurabh, M. Ajith, and K. Shah, “METAVERSE: A BIBLIOMETRIC ANALYSIS,” Community Commun. Amity Sch. Commun., vol. 17, pp. 2456–9011, doi: 10.31620/JCCC.09.23/07.
X. Feng, X. Wang, and Y. Su, “An analysis of the current status of metaverse research based on bibliometrics,” Libr. Hi Tech, vol. ahead-of-print, no. ahead-of-print, 2022, doi: 10.1108/LHT-10-2022-0467/FULL/XML.
W. Wider, L. Jiang, J. Lin, M. A. Fauzi, J. Li, and C. K. Chan, “Metaverse Chronicles: A Bibliometric Analysis of Its Evolving Landscape,” Int. J. Human–Computer Interact., 2023, doi: 10.1080/10447318.2023.2227825.
“METAVERSE: BIBLIOMETRIC ANALYSIS, A CONCEPTUAL MODEL PROPOSAL, AND A MARKETING-ORIENTED APPROACH,” Bingöl Üniversitesi Sos. Bilim. Enstitüsü Derg., vol. 12, no. 24, pp. 383–394, 2022.
DOI: https://doi.org/10.52088/ijesty.v3i4.467
Article Metrics
Abstract view : 0 timesPDF - 0 times
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 Eilen Monika, Adi Setiawan, Iges Triasnita Miranda, Tasya Monica, Widhea Ayu Santika, Chalirafi Chalirafi