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Cloud Computing, Big Data, and Blockchain Technology Adoption in ERP Implementation Methodology

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  • Patryk Morawiec

    (Department of Informatics, Faculty of Informatics and Communication, University of Economics in Katowice, 40-287 Katowice, Poland)

  • Anna Sołtysik-Piorunkiewicz

    (Department of Informatics, Faculty of Informatics and Communication, University of Economics in Katowice, 40-287 Katowice, Poland)

Abstract

The aim of the paper is to present the new factors of ERP (Enterprise Resource Planning system) implementation related to the usage of cloud-based and blockchain information technology and to discover potential possibilities of using cloud computing, big data, and blockchain technologies in the methodology of ERP implementation. The article covers the characteristics of the current implementation methodologies and also discusses how these technologies can be adopted in the implementation process. During the study, a literature review was carried out and survey-based interviews with project managers were performed. Previous studies examined in the literature review have some limitations. Most of them are focused on ERP performance in the cloud or measure success factors of ERP implementation. A research gap exists regarding the impact of technologies in the implementation process and the results of this process. The research shed some light on cloud computing and blockchain in ERP implementation. The conclusions are as follows: (1) Some methods of sustainable methods of ERP implementation with the use of cloud technologies, blockchain, and big data have been examined in research studies, but there is still a lack of publications with in-depth analyses of the impact of blockchain on ERP implementation success. (2) The practitioners recommended the new technologies based on cloud computing and big data in the process of ERP implementation, and more knowledge about blockchain would have a positive impact on the success of sustainable ERP implementation as well as on the willingness to adopt the new technologies.

Suggested Citation

  • Patryk Morawiec & Anna Sołtysik-Piorunkiewicz, 2022. "Cloud Computing, Big Data, and Blockchain Technology Adoption in ERP Implementation Methodology," Sustainability, MDPI, vol. 14(7), pages 1-21, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:3714-:d:776475
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    References listed on IDEAS

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    1. Szymon Zaleski & Rafał Michalski, 2021. "Success Factors in Sustainable Management of IT Service Projects: Exploratory Factor Analysis," Sustainability, MDPI, vol. 13(8), pages 1-28, April.
    2. Catherine Catherine & Edi Abdurachman, 2018. "ERP System Adoption Analysis Using TOE Framework in Permata Hijau Group (PHG) Medan," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 14(3), pages 91-105, July.
    3. Byungchan Ahn & Hyunchul Ahn, 2020. "Factors Affecting Intention to Adopt Cloud-Based ERP from a Comprehensive Approach," Sustainability, MDPI, vol. 12(16), pages 1-27, August.
    4. Oppong, Stephen A. & Yen, David C. & Merhout, Jeffrey W., 2005. "A new strategy for harnessing knowledge management in e-commerce," Technology in Society, Elsevier, vol. 27(3), pages 413-435.
    5. Jarosław Wątróbski & Ewa Ziemba & Artur Karczmarczyk & Jarosław Jankowski, 2018. "An Index to Measure the Sustainable Information Society: The Polish Households Case," Sustainability, MDPI, vol. 10(9), pages 1-30, September.
    6. de Sousa Jabbour, Ana Beatriz Lopes & Jabbour, Charbel Jose Chiappetta & Foropon, Cyril & Godinho Filho, Moacir, 2018. "When titans meet – Can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? The role of critical success factors," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 18-25.
    7. Shaio Yan Huang & An An Chiu & Po Chi Chao & Arniati Arniati, 2019. "Critical Success Factors in Implementing Enterprise Resource Planning Systems for Sustainable Corporations," Sustainability, MDPI, vol. 11(23), pages 1-42, November.
    8. Anna Sołtysik-Piorunkiewicz & Iwona Zdonek, 2021. "How Society 5.0 and Industry 4.0 Ideas Shape the Open Data Performance Expectancy," Sustainability, MDPI, vol. 13(2), pages 1-24, January.
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