Why E-Commerce Startups Fail: can machine learning provide solution?

Mona Yadegar ()
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Mona Yadegar: UCSI University, Malaysia.

Journal of Quantum Technologies and Informatics Research, 2025, vol. 3, issue 1, e2753-e2753

Abstract: E-commerce has transformed how businesses operate, providing customers with convenience and companies with access to global markets. However, despite its vast potential, many e-commerce initiatives have failed due to either external conditions such as local or global market fluctuations or internal conditions such as a mixture of poor planning, financial mismanagement, operational inefficiencies, and cybersecurity risks. Focusing on the market fluctuations which is a key component for external conditions. A simulative dataset that mimics real-world market conditions is used to present contribution of machine learning to decision making stages. The usage of informatics could help mitigate these risks by improving decision-making, security, and operational efficiency, and in turn could prevented many of the failures.

Keywords: e-commerce; failure; informatics; XGBost; ML (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:jle:joujqt:ktve2753

DOI: 10.70447/ktve.2753

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