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Examining the Influence of COVID 19 Pandemic in Changing Customers' Orientation towards E-Shopping

Author

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  • Tareq N. Hashem

Abstract

Current study aimed at examining the change in customer behavior during COVID 19 pandemic towards e-shopping. Variables taken into perspective included (Frequency, Necessity, Method of Payment, Price, and Availability of Product/Service). A simple random sample of (500) citizens in Jordan were exposed to an online questionnaire regarding their consuming behavior before and after the pandemic. Results of study indicated the COVID19 pandemic managed to change customer behavior towards depending more on online shopping and e-payment methods during COVID19 pandemic and the circumstances of lockdown and quarantine, in addition to that, results of pre and post behavior indicated that the influence appeared to be more influenced by gender and academic qualification as females' behavior appeared to be more influential and those who held a diploma. Study recommended that companies need to develop effective marketing strategies and enhance their presence in the e-commerce sector. However, one question remained unanswered; will society’s behavior change after the pandemic's demise, and will this behavior turn into an economic mind that measures things in numbers?

Suggested Citation

  • Tareq N. Hashem, 2020. "Examining the Influence of COVID 19 Pandemic in Changing Customers' Orientation towards E-Shopping," Modern Applied Science, Canadian Center of Science and Education, vol. 14(8), pages 1-59, August.
  • Handle: RePEc:ibn:masjnl:v:14:y:2020:i:8:p:59
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    References listed on IDEAS

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    1. Echchakoui, Saïd, 2016. "Relationship between sales force reputation and customer behavior: Role of experiential value added by sales force," Journal of Retailing and Consumer Services, Elsevier, vol. 28(C), pages 54-66.
    2. Dennis J. Zhang & Hengchen Dai & Lingxiu Dong & Fangfang Qi & Nannan Zhang & Xiaofei Liu & Zhongyi Liu & Jiang Yang, 2020. "The Long-term and Spillover Effects of Price Promotions on Retailing Platforms: Evidence from a Large Randomized Experiment on Alibaba," Management Science, INFORMS, vol. 66(6), pages 2589-2609, June.
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    Cited by:

    1. Samer H. Atawneh & Nawaf N. Hamadneh & Jamil J. Jaber & S. Al Wadi & Waqar A. Khan, 2022. "Using Artificial Intelligence to Predict Customer Satisfaction with E‐Payment Systems during the COVID‐19 Pandemic," Journal of Mathematics, John Wiley & Sons, vol. 2022(1).
    2. Tang, Jia-Wei & Tsai, Pei-Hsuan, 2024. "Exploring critical determinants influencing businesses’ continuous usage of mobile payment in post-pandemic era: Based on the UTAUT2 perspective," Technology in Society, Elsevier, vol. 77(C).
    3. Andruetto, Claudia & Bin, Elisa & Susilo, Yusak & Pernestål, Anna, 2023. "Transition from physical to online shopping alternatives due to the COVID-19 pandemic - A case study of Italy and Sweden," Transportation Research Part A: Policy and Practice, Elsevier, vol. 171(C).
    4. Monika Siewczyńska & Borys Siewczyński & Agnieszka Grzelczak & Anna Szymczak-Graczyk & Barbara Ksit, 2025. "Modular Buildings as a Potential for Small Trade Development in a Sustainable City," Sustainability, MDPI, vol. 17(13), pages 1-28, June.

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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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