A Two-Stage SEM–Artificial Neural Network Analysis of Mobile Commerce and Its Drivers
The COVID-19 health and economic crisis has affected all areas of social life globally, including the economy. The world economy has declined due to purchasing power for individuals who have been forced to stay at home and cannot perform work. These restrictions to prevent the spread of SARS-Cov-2 h...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | Journal of Theoretical and Applied Electronic Commerce Research |
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| Online Access: | https://www.mdpi.com/0718-1876/16/6/127 |
| _version_ | 1797518522330382336 |
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| author | Anca Antoaneta Vărzaru Claudiu George Bocean |
| author_facet | Anca Antoaneta Vărzaru Claudiu George Bocean |
| author_sort | Anca Antoaneta Vărzaru |
| collection | DOAJ |
| description | The COVID-19 health and economic crisis has affected all areas of social life globally, including the economy. The world economy has declined due to purchasing power for individuals who have been forced to stay at home and cannot perform work. These restrictions to prevent the spread of SARS-Cov-2 have led to an increase in electronic commerce and mobile commerce as tools for procuring goods and services. In this paper, we conducted a longitudinal analysis of mobile commerce as an essential electronic commerce component, establishing the main drivers of mobile commerce and the intensity of their influences. The research focuses on mobile commerce in the United States (U.S.). It covers the period 2010–2020, the last year of this period capturing the context of the COVID-19 pandemic and its impact on electronic commerce (e-commerce) and mobile commerce (m-commerce). In the macroeconomic analysis of competitiveness, we established the main drivers of m-commerce, using artificial neural networks and the mediation effects found between the variables that describe m-commerce, e-commerce, and total sales, using structural equation modeling. The research results indicate an increase in the share of e-commerce in total sales and a predominance of the m-commerce share in e-commerce on the background of traffic restrictions and social distance rules imposed due to the COVID-19 pandemic. Stakeholders in the m-commerce area should consider the following enhancing drivers: increasing internet speed, expanding 5G and Wi-Fi networks, and increasing accessibility and trust in mobile devices and applications. |
| first_indexed | 2024-03-10T07:30:34Z |
| format | Article |
| id | doaj.art-0b1f0829605f40a2972a5de7fbb9dd01 |
| institution | Directory Open Access Journal |
| issn | 0718-1876 |
| language | English |
| last_indexed | 2024-03-10T07:30:34Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Theoretical and Applied Electronic Commerce Research |
| spelling | doaj.art-0b1f0829605f40a2972a5de7fbb9dd012023-11-22T13:52:07ZengMDPI AGJournal of Theoretical and Applied Electronic Commerce Research0718-18762021-09-011662304231810.3390/jtaer16060127A Two-Stage SEM–Artificial Neural Network Analysis of Mobile Commerce and Its DriversAnca Antoaneta Vărzaru0Claudiu George Bocean1Department of Economics, Accounting and International Business, University of Craiova, 200585 Craiova, RomaniaDepartment of Management, Marketing and Business Administration, University of Craiova, 200585 Craiova, RomaniaThe COVID-19 health and economic crisis has affected all areas of social life globally, including the economy. The world economy has declined due to purchasing power for individuals who have been forced to stay at home and cannot perform work. These restrictions to prevent the spread of SARS-Cov-2 have led to an increase in electronic commerce and mobile commerce as tools for procuring goods and services. In this paper, we conducted a longitudinal analysis of mobile commerce as an essential electronic commerce component, establishing the main drivers of mobile commerce and the intensity of their influences. The research focuses on mobile commerce in the United States (U.S.). It covers the period 2010–2020, the last year of this period capturing the context of the COVID-19 pandemic and its impact on electronic commerce (e-commerce) and mobile commerce (m-commerce). In the macroeconomic analysis of competitiveness, we established the main drivers of m-commerce, using artificial neural networks and the mediation effects found between the variables that describe m-commerce, e-commerce, and total sales, using structural equation modeling. The research results indicate an increase in the share of e-commerce in total sales and a predominance of the m-commerce share in e-commerce on the background of traffic restrictions and social distance rules imposed due to the COVID-19 pandemic. Stakeholders in the m-commerce area should consider the following enhancing drivers: increasing internet speed, expanding 5G and Wi-Fi networks, and increasing accessibility and trust in mobile devices and applications.https://www.mdpi.com/0718-1876/16/6/127m-commercee-commercetotal salesGDPmobile deviceinternet users |
| spellingShingle | Anca Antoaneta Vărzaru Claudiu George Bocean A Two-Stage SEM–Artificial Neural Network Analysis of Mobile Commerce and Its Drivers Journal of Theoretical and Applied Electronic Commerce Research m-commerce e-commerce total sales GDP mobile device internet users |
| title | A Two-Stage SEM–Artificial Neural Network Analysis of Mobile Commerce and Its Drivers |
| title_full | A Two-Stage SEM–Artificial Neural Network Analysis of Mobile Commerce and Its Drivers |
| title_fullStr | A Two-Stage SEM–Artificial Neural Network Analysis of Mobile Commerce and Its Drivers |
| title_full_unstemmed | A Two-Stage SEM–Artificial Neural Network Analysis of Mobile Commerce and Its Drivers |
| title_short | A Two-Stage SEM–Artificial Neural Network Analysis of Mobile Commerce and Its Drivers |
| title_sort | two stage sem artificial neural network analysis of mobile commerce and its drivers |
| topic | m-commerce e-commerce total sales GDP mobile device internet users |
| url | https://www.mdpi.com/0718-1876/16/6/127 |
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