Article
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E-commerce Adoption in Morocco: Key Factors and Growth Strategies
Version 1
: Received: 15 May 2023 / Approved: 16 May 2023 / Online: 16 May 2023 (03:59:16 CEST)
A peer-reviewed article of this Preprint also exists.
Ben Youssef, A.; Dahmani, M. Examining the Drivers of E-Commerce Adoption by Moroccan Firms: A Multi-Model Analysis. Information 2023, 14, 378. Ben Youssef, A.; Dahmani, M. Examining the Drivers of E-Commerce Adoption by Moroccan Firms: A Multi-Model Analysis. Information 2023, 14, 378.
Abstract
E-commerce is a rapidly evolving global trend that is having a significant impact on consumer behavior and business strategies. Despite its growing impact, e-commerce adoption by Moroccan firms remains low and research on this topic in this context is scarce. This study aims to fill this gap by investigating the main determinants influencing e-commerce adoption by Moroccan firms. We use logit, probit, and conditional mixed process-probit models to identify the critical factors driving e-commerce adoption. Our results reveal five key findings. First, newer firms that are more open to innovation and change are more likely to adopt e-commerce. Second, firms with a higher proportion of highly educated employees are more likely to adopt e-commerce. Third, the digital skills of new employees do not directly influence the likelihood of e-commerce adoption. Fourth, being listed on digital platforms increases the likelihood of e-commerce adoption. Finally, there is a positive relationship between firms engaged in innovation activities and e-commerce adoption. These findings highlight the need for additional investment in promoting modern organizational practices, reskilling workers, and implementing advanced technologies to facilitate effective e-commerce integration among Moroccan SMEs. By addressing these challenges, Moroccan firms can harness the full potential of e-commerce and contribute to the country’s economic growth and digital transformation.
Keywords
E-commerce integration; adoption determinants; Moroccan firms; innovation; logit; probit; conditional mixed process-probit model.
Subject
Business, Economics and Management, Business and Management
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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