逆向诱导的认知偏差对沉浸式购物体验的不利影响:从定性方法发展的概念模型

IF 10.1 1区 社会学 Q1 SOCIAL ISSUES
Soumili Ghosh , Rajat Kumar Behera , Pradip Kumar Bala , Nripendra P. Rana
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引用次数: 0

摘要

沉浸式购物(IS)是使用基于模拟的技术,如metaverse,为客户创造互动和高度个性化的购物体验,让他们花时间选择产品,从而增加他们对品牌的熟悉度。与标准购物体验相比,IS体验(ISE)为实体零售商提供了积极的品牌形象。然而,元宇宙会引起客户的认知偏差(CBs),从而对他们的推理和决策产生负面影响。误读是人们在购物过程中处理和解释信息时出现的系统性思维错误,会影响他们的决策和判断。因此,本研究探讨了超差诱导的CBs对实体零售客户的ISE的不利影响。采用简单随机抽样的方法,从20个客户中收集数据,并采用定性方法对数据进行分析。这一发现对ISE产生了三个不利影响。首先,由元宇宙引发的业务差异在客户群体之间造成了数字鸿沟,而零售服务与元宇宙的集成进一步加剧了这种鸿沟的风险。其次,元宇宙诱导的商业行为会造成金融渎职,这使得元宇宙容易受到金融偏见的影响。第三,由于对决策、战略制定和结果产生不利影响,引发的商业信誉风险增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adverse impacts of metaverse-induced cognitive biases on the immersive shopping experience: A conceptual model developed from a qualitative approach
Immersive shopping (IS) is the usage of simulation-based technology like metaverse to create interactive and highly personalised shopping experiences for customers wherein they spend quality time selecting the products, which increases their familiarity with the brand. When compared to a standard shopping experience, the IS experience (ISE) offers brick-and-mortar retailers a positive brand image. However, the metaverse can induce cognitive biases (CBs) in customers that can negatively influence their reasoning and decision-making. CB is the systematic error in thinking that occurs when people are processing and interpreting information during the shopping, which affects their decisions and judgments. Therefore, this study explores the adverse impacts of metaverse-induced CBs on ISE for brick-and-mortar retail customers. Using simple random sampling, data were collected from 20 customers, and a qualitative approach was used for data analysis. The finding produces three adverse impacts for ISE. First, metaverse-induced CBs create a digital divide between customer communities, and the integration of retail services with the metaverse further aggravates the risk of this divide. Second, metaverse-induced CBs create financial malfeasance, which makes the metaverse susceptible to financial biases. Third, metaverse-induced CBs increase business reputation risk by adversely impacting decision-making, strategy formulations, and outcomes.
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来源期刊
CiteScore
17.90
自引率
14.10%
发文量
316
审稿时长
60 days
期刊介绍: Technology in Society is a global journal dedicated to fostering discourse at the crossroads of technological change and the social, economic, business, and philosophical transformation of our world. The journal aims to provide scholarly contributions that empower decision-makers to thoughtfully and intentionally navigate the decisions shaping this dynamic landscape. A common thread across these fields is the role of technology in society, influencing economic, political, and cultural dynamics. Scholarly work in Technology in Society delves into the social forces shaping technological decisions and the societal choices regarding technology use. This encompasses scholarly and theoretical approaches (history and philosophy of science and technology, technology forecasting, economic growth, and policy, ethics), applied approaches (business innovation, technology management, legal and engineering), and developmental perspectives (technology transfer, technology assessment, and economic development). Detailed information about the journal's aims and scope on specific topics can be found in Technology in Society Briefings, accessible via our Special Issues and Article Collections.
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