Data- and management-driven metaverse research

Zhigeng Pan; Jiaqi Yan; Hirotoshi Takeda; Haibing Lu; Shan Liu; Wei Huang; Jian Mou; James Christopher Westland

Data Science and Management (Jun 2024)

Data- and management-driven metaverse research

Zhigeng Pan,
Jiaqi Yan,
Hirotoshi Takeda,
Haibing Lu,
Shan Liu,
Wei Huang,
Jian Mou,
James Christopher Westland

Affiliations

Zhigeng Pan: School of Artificial Intelligence, Nanjing University of Information Science & Technology, Nanjing, 210044, China
Jiaqi Yan: School of Information Management, Nanjing University, Nanjing, 210023, China
Hirotoshi Takeda: Department of Business Administration, University of Southern Maine, Portland, 04104, USA; Maine Business School, University of Maine, Orono, 04469, USA; Système D'information et Organisationnels, Université Laval, Canada
Haibing Lu: Leavey School of Business, Santa Clara University, Santa Clara, 95053, USA
Shan Liu: School of Management, Xi'an Jiaotong University, Xi'an, 710049, China
Wei Huang: Southern University of Science and Technology, China
Jian Mou: School of Business, Pusan National University, Busan, 46241, South Korea; Corresponding author.
James Christopher Westland: Department of Information and Decision Sciences, University of Illinois Chicago, Chicago, 60607, USA

Journal volume & issue: Vol. 7, no. 2
pp. 75 – 78

Abstract

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The metaverse has become a very important phenomenon in society because of the emergence of new technologies. The widespread adoption of the metaverse has generated significant discussions about the challenges and opportunities it presents. We invited three panelists to present their personal viewpoints on the metaverse in the 2022 AIS-SIG-ISAP Workshop on Information Systems in Asia-Pacific (ISAP). The discussion indicated that metaverse research is being conducted. Furthermore, it highlighted new research directions and offered research topics related to the advantages or disadvantages of the metaverse. The proposed research topics will offer new insights to academics and practitioners.

Published in Data Science and Management

ISSN: 2666-7649 (Online)
Publisher: KeAi Communications Co. Ltd.
Country of publisher: China
LCC subjects: Science: Mathematics: Instruments and machines: Electronic computers. Computer science
Website: https://www.keaipublishing.com/en/journals/data-science-and-management/

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Abstract

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