Effective Factors on Health during of Online Shopping of Customers with the Approach of Customers spurt the Corona

The Corona crisis has posed a huge challenge to businesses, giving organizations the opportunity to identify new business models and survive in the crisis.  The aim of this study was to effective factors online shopping with the approach of customer-health during the Corona spurt using the Meta synthesis technique.

The present study is a type of developmental research in terms of the purpose. In the qualitative section, the statistical society included 126 documentary articles, which were finally selected into 33 articles related to the subject, and in the quantitative section, 5 online stores were selected as experts by using convenience sampling method. Qualitative data were analyzed using the seven-step method of Barros & Sandelowski in Meta synthesis technique and in the quantitative part data were analyzed by the best-worst method (BWM) using MAXQDA, SPSS and LINGO software.

Factors affecting online shopping were introduced in 5 categories (website features, customer features, environmental factors, customer perceptions, online shopping advantages), 16 axial codes and 81 open codes and their prioritization were presented (Website features 0.427, customer features 0.321, environmental factors 0.129, online shopping advantages 0.08 and customer perceptions 0.042).

Business managers can influence customer's attitude and mentality and ensure their health in order to take preventive action by using the factors affecting online shopping with the priority of customers' health in the Corona spurt as an important action.