The evolution of organizations and stakeholders for metaverse ecosystems: Editorial for the special issue on metaverse part 1

IF 6.7 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Decision Support Systems Pub Date : 2024-10-29 DOI:10.1016/j.dss.2024.114353

Arpan Kumar Kar , Patrick Mikalef , Rohit Nishant , Xin (Robert) Luo , Manish Gupta

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引用次数: 0

Abstract

Metaverse ecosystems are fast growing platforms which are witnessing wide adoption. Different digital platforms like social media are trying to evolve into metaverse ecosystems which are perceived to enhance the overall experiences of different users. However there is a lack of impactful empirical literature which have attempted to document diverse socio-technical perspectives surrounding these emerging digital platforms. We highlight an overview of current literature in information systems, whereby discourse in metaverse is currently situated. Our editorial also introduces the studies which have been published in the special issue on metaverse, whereby many of the unique socio-technical elements of design, adoption, usage and impacts of metaverse platforms have been discussed. The studies included in the special issue also highlight specific areas of future research, surrounding metaverse platforms. We conclude by showcasing how research in metaverse may evolve to become more impactful over time.

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元宇宙生态系统的组织和利益相关者的演变：为元宇宙特刊第 1 部分撰写的社论

元宇宙生态系统是一种快速发展的平台，正在被广泛采用。不同的数字平台（如社交媒体）正试图发展成元宇宙生态系统，以提升不同用户的整体体验。然而，目前缺乏有影响力的实证文献，试图记录围绕这些新兴数字平台的各种社会技术观点。我们重点概述了当前信息系统领域的文献，其中包括有关元宇宙的论述。我们的社论还介绍了发表在元海外特刊上的研究，其中讨论了元海外平台的设计、采用、使用和影响等许多独特的社会技术要素。特刊中的研究还强调了围绕元海外平台的未来研究的具体领域。最后，我们还展示了元海外研究如何随着时间的推移不断发展，变得更具影响力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Decision Support Systems 工程技术-计算机：人工智能

CiteScore

14.70

自引率

6.70%

发文量

119

审稿时长

13 months

期刊介绍： The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).