Toward street vending in post COVID-19 China: Social networking services information overload and switching intention

Abstract

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.

Investigating the relationship between digital technologies, supply chain integration and firm resilience in the context of COVID-19

“…Firms are recommended to build close relationships with customers, acquire exact, dynamic and punctual demand information from customers and respond promptly to the changing needs of customers (Piprani et al, 2020 ). Under the impact of COVID-19, the significance of information management has become more prominent (Cao et al, 2021 ); thus, manufacturing firms are recommended to use big data and analytics technologies to determine and analyse the rapidly changing needs of consumers to service consumers efficiently. In the same way, firms can use these technologies to complete suppliers’ and internal integration, collectively enhancing firm resilience.…”

“…Under the influence of COVID-19, many firms have experienced supply chain disruptions due to inconvenient transportation, labour shortages, loss of supply and suppliers, and declining demand, among other causes (Ivanov & Dolgui, 2020 ; Jabbour et al, 2020 ; Wang et al, 2020b ; Mahajan & Tomar, 2021 ). Moreover, firms feel a greater need to manage more complex information, such as excessive content (Aljanabi, 2021 ; Cao et al, 2021 ), complex sources (Laud & Schepers, 2009 ; Alamsyah & Zhu, 2021 ), and wrong and poor quality (Bermes, 2021 ; Fernández-Torres et al, 2021 ; Su, 2021 ; Vrdelja et al, 2021 ), compared to normal times. This intensified operational uncertainty has caused production decisions to become more difficult for firms with the traditional mode of operations (Nagarajan et al, 2013 ; Phillips-Wren & Adya, 2020 ).…”

“…Based on the results, they can construct strategic actions to avoid future supply chain disruptions through enhanced firm resilience. Existing studies have also reflected the importance of developing digital technologies during COVID-19, during which information complexity has been exceptionally high (Cao et al, 2021 ; Sheng et al, 2021 ), for firm resilience. Therefore, we formulate the following hypothesis:…”

The Impact of Using mHealth Apps on Improving Public Health Satisfaction during the COVID-19 Pandemic: A Digital Content Value Chain Perspective

“…Compared with CB-SEM, (1) PLS-SEM is more suitable for models with more than six variables [ 56 ]; (2) PLS-SEM is good for processing small sample data [ 56 ]; and (3) PLS-SEM can process non-normally distributed data [ 56 ]. In summary, the PLS-SEM method is more suitable than the CB-SEM in the theoretical development stage, and it has been shown that PLS-SEM can replace the CB-SEM in most social science research cases [ 56 ] and is widely used in social, economic, and business research [ 57 , 58 ].…”

Consumer Motivations for Adopting Omnichannel Retailing: A Safety-Driven Perspective in the Context of COVID-19

“…Moreover, since the massive shock of the ongoing pandemic has changed the business environment and disrupted the retail industry (22)(23)(24)(25)(26), we argue that it is necessary to consider the role of COVID-19 in our research model. Indeed, literature on changes in consumer behavior is surging (10,11,(27)(28)(29).…”