Compensatory Consumption in the Metaverse

This dataset contains the variables and constructs related to Technostress, Flow Disruption and Virtual Identity Dissonance, Compensatory Consumption, Digital Identity Salience and Self-control. This study investigates how technostress and flow disruption affect compensatory consumption behavior in a metaverse environment. It focuses on the mediating role of virtual identity dissonance and the moderating roles of self-control and digital identity salience, using a quasi-experimental design with a single group and survey-based data collection. In this research, we investigate compensatory consumption and the relationship between technostress and compensatory consumption through flow disruption in the context of metaverse technology users. Metaverse platforms have restricted reach in India, and hence students were the sample from a specific context of Business School, Bengaluru, with higher digital adoption. The recruits are from various parts of the country and various experiences making the sample broader. As India is different levels of digital development, tech adoption, among younger educated consumers in India shows similar patterns. Participants were purposefully sampled to include a diverse array of individuals who owned experience-oriented metaverse platforms so that their views on technostress, flow disruption, and compensatory consumption would be relevant. An ad on the intranet of the business school soliciting participants for a research experiment was sent. Participants were eligible if they had experience using a virtual environment platform within the past 12 months and a general understanding of the metaverse. All experiments were performed in a specific cabin for this purpose, substantially after the third day from the circular. Over a course of 120 days, an average of 4 students attended each day with assistance from colleagues. Participants engaged experimental tasks for 30 minutes and clouding up questionnaire for 30 minutes, in total, each participant spent approximately 60 minutes on the whole environment. In total 450 usable responses were received. Technostress was assessed with a with twenty-three items. Measure of flow disruption was using 4 items. We measured compensatory consumption using 18 items scale. Virtual identity dissonance was assessed using a modified 10-item scale. Digital identity salience was assessed using a 6-item scale. Self-control was measured using the 13-item Brief Self-Control Scale (BSCS). The present data provides metaverse developers and marketers with information that is related to role of technostress and flow and the virtual identity dissonance to improve user engagement and reduce impulsive consumption.本数据集涵盖与技术压力（Technostress）、流畅性中断（Flow Disruption）、虚拟身份失调（Virtual Identity Dissonance）、补偿性消费（Compensatory Consumption）、数字身份凸显性（Digital Identity Salience）及自我控制（Self-control）相关的变量与构念。本研究聚焦元宇宙（Metaverse）环境下技术压力与流畅性中断对补偿性消费行为的影响机制，采用单组准实验设计与问卷调查法收集数据，重点考察虚拟身份失调的中介作用，以及自我控制与数字身份凸显性的调节作用。本研究围绕元宇宙技术用户场景，进一步探究补偿性消费，以及技术压力通过流畅性中断与补偿性消费之间的关联路径。鉴于元宇宙平台在印度的覆盖范围有限，本研究的样本取自数字采纳率较高的班加罗尔某商学院学生群体。招募的受访者来自印度各地，且拥有各异的元宇宙使用经验，样本覆盖范围更广。尽管印度各地区数字发展水平与技术采纳程度存在差异，但该国受过良好教育的年轻消费者群体呈现出相似的数字行为模式。本研究采用目的性抽样法，招募了一批拥有体验型元宇宙平台使用经验的多样化受访者，以确保其对技术压力、流畅性中断及补偿性消费的观点具有研究相关性。研究通过商学院内网发布招募实验参与者的广告，入选条件为：过去12个月内有虚拟环境平台使用经验，且对元宇宙有基本认知。所有实验均在专门设置的实验舱内开展，实际执行时间晚于招募通知发布后的第三天。实验周期共计120天，在研究团队成员协助下，每日平均招募4名学生参与者。每位参与者需完成30分钟的实验任务与30分钟的问卷填写，整场实验总时长约为60分钟，最终共回收有效问卷450份。本研究的测量工具如下：技术压力采用23个题项进行测量；流畅性中断的测量包含4个题项；补偿性消费采用18个题项的量表进行测量；虚拟身份失调采用经过修订的10题项量表进行测量；数字身份凸显性采用6题项量表进行测量；自我控制采用包含13个题项的简版自我控制量表（Brief Self-Control Scale, BSCS）进行测量。本数据集可为元宇宙开发者与营销人员提供相关研究结论，助力其通过优化技术压力、流畅性中断与虚拟身份失调的影响路径，提升用户参与度并减少冲动性消费。