解读决定因素:是什么引导创作者选择他们的元宇宙平台?

IF 12.9 1区 管理学 Q1 BUSINESS
Yoonhyuk Jung , Jinyoung Nam , Hanbyul Choi , Jonghwa Park
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引用次数: 0

摘要

本研究旨在探讨影响第三方开发者选择元海外平台的因素。随着元海外备受关注,许多元海外平台如雨后春笋般涌现。第三方开发者在平台生态系统中扮演着创造虚拟财产的补充者角色。尽管开发者在这些新生的元海外平台的可持续发展中扮演着重要角色,但我们对他们选择平台的了解仍然很少。本研究采用了层次分析法(AHP),该方法因其在层次结构中对不同层次的标准进行评估和排序的效率而得到广泛认可,有助于系统化决策。本研究不仅对平台互补研究中常用的三项评价标准(市场吸引力、技术准备程度和平台准备程度)及其子标准的权重进行了仔细研究,还对开发人员最终选择特定平台的情况进行了探究。研究结果表明,作为市场吸引力子标准的用户规模是最关键的因素,而开发者社区的支持则不那么重要,这与以往的研究结果有所不同。这项研究不仅大大加深了我们对当代元海外生态系统的了解,还丰富了我们对平台互补因素的认识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deciphering the determinants: What guides creators in choosing their metaverse platforms?
This study aims to investigate which factors influence third-party developers' choice of metaverse platforms. As the metaverse has garnered considerable attention, many metaverse platforms have explosively launched. The intensified competition among metaverse platforms is increasing the value of third-party developers, who play a role of complementors in platform ecosystems as creating virtual properties. Despite the significant role of developers in the sustainability of these nascent metaverse platforms, our understanding of their choice of platforms remains sparse. The study employed an Analytic Hierarchy Process (AHP), which is widely recognized for its efficiency in evaluating and ranking criteria at various levels within a hierarchical structure, aiding in systematic decision-making. The study scrutinizes not only the weights of three evaluation criteria (market attractiveness, technological readiness, and platform readiness), which have been commonly used in research on platform complementors, along with their sub-criteria, but also probes into developers' ultimate choice of specific platforms. Findings show that while user size, a sub-criterion of market attractiveness, emerges as the most crucial factor, the support of the developer community is less significant, differing from previous research findings. The study not only significantly enhances our understanding of the contemporary metaverse ecosystem, but also enriches knowledge of platform complementors.
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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