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Companies with at least 10 Employees Selling Online across the Italian Regions

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  • Leogrande, Angelo

Abstract

The following article analyzes Italian companies with more than 10 employees that use online sales tools. The data used were acquired from the ISTAT-BES database. The article first presents a static analysis of the data aimed at framing the phenomenon in the context of Italian regional disparities. Subsequently, a clustering with k-Means algorithm is proposed by comparing the Silhouette coefficient and the Elbow method. The investigation of the innovative and technological determinants of the observed variable is carried out through the application of a panel econometric model. Finally, different machine learning algorithms for prediction are compared. The results are critically discussed with economic policy suggestions.

Suggested Citation

  • Leogrande, Angelo, 2024. "Companies with at least 10 Employees Selling Online across the Italian Regions," MPRA Paper 120637, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:120637
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    File URL: https://mpra.ub.uni-muenchen.de/120637/1/MPRA_paper_120637.pdf
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    1. Miguel Salazar-Kovaleff & David Mauricio, 2024. "Ten Years of SME E-Commerce Performance Factors and Metrics, 2011-2021," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 22(1), pages 1-27, January.
    2. Arsalan Hussain & Minhas Akbar & Arfan Shahzad & Petra Poulova & Ahsan Akbar & Rohail Hassan, 2022. "E-Commerce and SME Performance: The Moderating Influence of Entrepreneurial Competencies," Administrative Sciences, MDPI, vol. 12(1), pages 1-16, January.
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    4. Sun, Meng, 2021. "The Internet and SME Participation in Exports," Information Economics and Policy, Elsevier, vol. 57(C).
    5. Jianli Gao & Abu Bakkar Siddik & Sayyed Khawar Abbas & Muhammad Hamayun & Mohammad Masukujjaman & Syed Shah Alam, 2023. "Impact of E-Commerce and Digital Marketing Adoption on the Financial and Sustainability Performance of MSMEs during the COVID-19 Pandemic: An Empirical Study," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    6. Ade Octavia & Sigit Indrawijaya & Yayuk Sriayudha & Heriberta & Husni Hasbullah & Asrini, 2020. "Impact on E-Commerce Adoption on Entrepreneurial Orientation and Market Orientation in Business Performance of SMEs," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 10(5), pages 516-525.
    7. Jinhyo Joseph Yun & Xiaofei Zhao & KyungBae Park & Lei Shi, 2020. "Sustainability Condition of Open Innovation: Dynamic Growth of Alibaba from SME to Large Enterprise," Sustainability, MDPI, vol. 12(11), pages 1-24, May.
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    More about this item

    Keywords

    Innovation; Innovation and Invention; Management of Technological Innovation and R&D; Technological Change; Intellectual Property and Intellectual Capital.;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

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