Unveiling the metaverse: A comparison of multiple environments

IF 6.7 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Sumanta Singha , Kiran Pedada , Pradeep Racherla , Srinivas Pingali
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引用次数: 0

Abstract

The advent of the metaverse is fundamentally altering the relationship dynamics between brands and users. Brands that successfully navigate this new landscape create deeper engagement and foster lasting brand loyalty. Using a multi-method, multi-study approach, we examine the interplay between user characteristics and brand perception in a real metaverse environment called “Universe”, created by a large public sector bank in India. Study 1 involves a qualitative analysis (i.e., focus group discussion) to derive insights for the conceptual model. Study 2 involves quantitative analysis of survey data conducted in three different experimental settings: first-person perspective (1PP), third-person perspective (3PP), and third-person perspective with peer interaction (3PP social). The study reveals that users' social connectedness, technology readiness, and domain literacy positively impact brand perception via two distinct mechanisms: sense of presence and product engagement. Further, our analysis shows that these outcomes vary significantly across the three experimental settings. Whereas product engagement emerges as the dominant mechanism in the 1PP environment, sense of presence emerges as the dominant mechanism in the 3PP social setting. Our study provides several important theoretical and managerial implications for brands, users, and decision science scholars.
揭示虚拟世界:多个环境的比较
虚拟世界的出现从根本上改变了品牌和用户之间的动态关系。成功驾驭这种新格局的品牌会创造更深层次的互动,并培养持久的品牌忠诚度。我们采用多方法、多研究的方法,在印度一家大型公共部门银行创建的名为“宇宙”的真实虚拟环境中,研究了用户特征与品牌感知之间的相互作用。研究1涉及定性分析(即焦点小组讨论),以获得概念模型的见解。研究2对三种不同实验环境下的调查数据进行了定量分析:第一人称视角(1PP)、第三人称视角(3PP)和第三人称同伴互动视角(3PP social)。研究表明,用户的社会联系、技术准备和领域素养通过两种不同的机制对品牌感知产生积极影响:存在感和产品参与。此外,我们的分析表明,这些结果在三种实验环境中差异很大。在1PP环境中,产品参与成为主导机制,而在3PP社会环境中,存在感成为主导机制。我们的研究为品牌、用户和决策科学学者提供了几个重要的理论和管理启示。
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
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).
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