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Big data technologies: perceived benefits and costs for adopter and non-adopter enterprises
[Technologies pour les données massives : Bénéfices et coûts perçus par les entreprises adoptantes et non adoptantes]

Author

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  • Claudio Vitari

    (CERGAM - Centre d'Études et de Recherche en Gestion d'Aix-Marseille - AMU - Aix Marseille Université - UTLN - Université de Toulon)

  • E. Raguseo

Abstract

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Suggested Citation

  • Claudio Vitari & E. Raguseo, 2021. "Big data technologies: perceived benefits and costs for adopter and non-adopter enterprises [Technologies pour les données massives : Bénéfices et coûts perçus par les entreprises adoptantes et non," Post-Print hal-03323888, HAL.
    • Handle: RePEc:hal:journl:hal-03323888
    Note: View the original document on HAL open archive server: https://hal.science/hal-03323888
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    References listed on IDEAS

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    1. Ivan Turok & Mike Raco, 2000. "Developing Expertise in Small and Medium-Sized Enterprises: An Evaluation of Consultancy Support," Environment and Planning C, , vol. 18(4), pages 409-427, August.
    2. Manfred Schmitz & Christian Dietze & Christian Czarnecki, 2019. "Enabling Digital Transformation Through Robotic Process Automation at Deutsche Telekom," Management for Professionals, in: Nils Urbach & Maximilian Röglinger (ed.), Digitalization Cases, pages 15-33, Springer.
    3. Chun-Liang Chen, 2019. "Value Creation by SMEs Participating in Global Value Chains under Industry 4.0 Trend: Case Study of Textile Industry in Taiwan," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 22(2), pages 120-145, April.
    4. Sivarajah, Uthayasankar & Kamal, Muhammad Mustafa & Irani, Zahir & Weerakkody, Vishanth, 2017. "Critical analysis of Big Data challenges and analytical methods," Journal of Business Research, Elsevier, vol. 70(C), pages 263-286.
    5. Gandomi, Amir & Haider, Murtaza, 2015. "Beyond the hype: Big data concepts, methods, and analytics," International Journal of Information Management, Elsevier, vol. 35(2), pages 137-144.
    6. Constantiou, Ioanna D & Kallinikos, Jannis, 2015. "New games, new rules: big data and the changing context of strategy," LSE Research Online Documents on Economics 63017, London School of Economics and Political Science, LSE Library.
    7. Akter, Shahriar & Wamba, Samuel Fosso & Gunasekaran, Angappa & Dubey, Rameshwar & Childe, Stephen J., 2016. "How to improve firm performance using big data analytics capability and business strategy alignment?," International Journal of Production Economics, Elsevier, vol. 182(C), pages 113-131.
    8. Frank, Alejandro G. & Mendes, Glauco H.S. & Ayala, Néstor F. & Ghezzi, Antonio, 2019. "Servitization and Industry 4.0 convergence in the digital transformation of product firms: A business model innovation perspective," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 341-351.
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