使用基于球线性二方位建模方法评估虚拟商业应用的 Metaverse

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Ghazala Bilquise, Khaled Shaalan, Manar AlKhatib
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引用次数: 0

摘要

虚拟商务是一个新兴概念,它重新定义了未来的购物体验和顾客与产品之间的互动。虽然企业正在积极探索身临其境技术的潜力,以提供引人入胜、引人入胜的购物体验,但对于什么是理想的虚拟电子商务体验以及如何有效识别最佳虚拟电子商务商店,仍然缺乏共识。有鉴于此,制定元宇宙虚拟电子商务应用基准对其发展至关重要。考虑到设计属性的多样性、其相对重要性的不确定性以及数据的多变性等各种关键问题,这项工作属于多重标准决策的范畴。本研究提出了一种创新方法,利用球形线性二阶模糊集(FSs)扩展了模糊加权零不一致(FWZIC)方法,以确定 v-commerce 属性的权重。获得的权重与跟踪中值指数排序法(RATMI)相结合,为元网选择最佳的虚拟电子商务应用。标准权重结果表明,"易浏览性 "和 "推荐代理 "是评估虚拟商务解决方案的最重要标准。根据这些结果,对 24 个虚拟商务解决方案进行了评估。此外,还使用了敏感性分析和比较评价来评估所提出框架的稳健性和有效性。这项研究为决策者和从业人员提供了重要的见解,有助于促进业务增长、提高消费者满意度以及进一步开展该领域的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Evaluation of Virtual Commerce Applications for the Metaverse Using Spherical Linear Diophantine-Based Modeling Approach

Evaluation of Virtual Commerce Applications for the Metaverse Using Spherical Linear Diophantine-Based Modeling Approach

The rise of the metaverse has ignited a surge of interest among researchers and decision-makers, seeking to develop effective virtual commerce (v-commerce) applications that cater to business demands and customer preferences. v-commerce, an emerging concept, redefines the future of shopping experiences and customer-product interactions. While businesses are actively exploring the potential of immersive technologies to deliver captivating and engaging shopping experiences, there remains a lack of consensus on what constitutes an ideal v-commerce experience and how to identify optimal v-commerce stores effectively. Considering this, benchmarking v-commerce applications for the metaverse is crucial for its development. This endeavor falls within the realm of multiple-criteria decision-making, given various critical issues such as the multitude of design attributes, uncertainty regarding their relative importance, and data variability. This study proposes an innovative approach that extends the fuzzy-weighted zero-inconsistency (FWZIC) method with spherical linear Diophantine fuzzy sets (FSs) (SLDFSs) to determine the weights of v-commerce attributes. The obtained weights are integrated with the ranking alternatives by trace median index (RATMI) method to select the optimal v-commerce application for the metaverse. Criterion weighting results reveal that “ease of navigation” and “recommendation agents” are the most significant criteria in assessing v-commerce solutions. Based on these results, 24 v-commerce solutions were evaluated. Additionally, sensitivity analysis and comparative evaluation were used to assess the robustness and validity of the proposed framework. This research provides essential insights for decision-makers and practitioners to facilitate business growth, consumer satisfaction, and further research in this domain.

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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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