Cao Junwei, Liu Feng, Shang Meng, Zhou Xiaotong
School of Digital Convergence Business, Yeungnam University, Gyeongsan, South Korea.
Business School, Shandong University, Weihai, China.
Technol Soc. 2021 Aug;66:101669. doi: 10.1016/j.techsoc.2021.101669. Epub 2021 Jul 10.
With the progress of epidemic containment, the Chinese government has relaxed its regulatory policies on street vending, hoping to help people who have lost their livelihoods and to assist in the restoration of social and economic order. In response, Chinese people poured into the stall economy, especially individual peddlers, with great expectations for street vending. Street vending has become a hot topic on Chinese social network sites (SNSs). Based on the push-pull-mooring framework, SNS information overload theory was introduced and combined with the actual situations of street vending in China, and a structural equation model was established to study factors affecting individual Chinese peddlers' intention to engage in street vending and the effects of SNS information overload on these factors. Results revealed that perceived policy benefits, subjective norms, and switching cost perceptions of individual peddlers were positive factors affecting their intention to engage in street vending. SNS information overload positively affected individual peddlers' dissatisfaction with their original business model, anxieties over their livings, perception of policy benefits, and subjective norms but negatively affected individual peddlers' perception of switching costs.
随着疫情防控取得进展，中国政府放宽了对街头摆摊的监管政策，希望帮助失去生计的人们，并助力社会经济秩序的恢复。对此，中国人纷纷投身于地摊经济，尤其是个体商贩，对街头摆摊寄予厚望。街头摆摊已成为中国社交网站上的热门话题。基于推拉锚定框架，引入社交网络信息过载理论并结合中国街头摆摊的实际情况，建立了结构方程模型，以研究影响中国个体商贩从事街头摆摊意愿的因素以及社交网络信息过载对这些因素的影响。结果显示，个体商贩的政策受益感知、主观规范和转换成本感知是影响其从事街头摆摊意愿的积极因素。社交网络信息过载对个体商贩对原有商业模式的不满、生活焦虑、政策受益感知和主观规范产生了积极影响，但对个体商贩的转换成本感知产生了消极影响。
