IDEAS home Printed from https://ideas.repec.org/a/vrs/poicbe/v17y2023i1p1919-1928n29.html
   My bibliography  Save this article

Exploring Enterprise Resource Planning (ERP) Development: Challenges, Opportunities and How Can Help Companies Navigate Turbulent Contemporary Times

Author

Listed:
  • Chirvase Ciprian-Sorin

    (Bucharest University of Economic Studies, Bucharest, Romania)

  • Zamfir Andreea

    (Bucharest University of Economic Studies, Bucharest, Romania)

Abstract

The author has carried out a research paper on how ERP systems have evolved, presenting their main characteristics, and conducting a debate between the benefits and challenges but also the opportunities of implementing such a system. Certainly, ERP systems have reached an absolute level of importance over time, being able to be compared with the backbone of the organizations where they are implemented. Research of the available specialized literature was carried out to find gaps in relation to the challenges and opportunities of implementing the three technologies Enterprise Resource Planning, Internet of Things and Artificial Intelligence in a single global system. After the study, it was concluded that by implementing a global system that integrates Enterprise Resource Planning, Internet of Things and Artificial Intelligence but also interconnects all the companies of the same supply flow, organizations can reach the highest level in terms of efficiency, forecast and monitoring but also perfect flexibility by adding Robotic Process Automation to the system. The results of this study complement specialized literature and make an important contribution to the field of study.

Suggested Citation

  • Chirvase Ciprian-Sorin & Zamfir Andreea, 2023. "Exploring Enterprise Resource Planning (ERP) Development: Challenges, Opportunities and How Can Help Companies Navigate Turbulent Contemporary Times," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 17(1), pages 1919-1928, July.
    • Handle: RePEc:vrs:poicbe:v:17:y:2023:i:1:p:1919-1928:n:29
    DOI: 10.2478/picbe-2023-0169
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/picbe-2023-0169
    Download Restriction: no
    File URL: https://libkey.io/10.2478/picbe-2023-0169?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Chen-Fu Chien & Stéphane Dauzère-Pérès & Woonghee Tim Huh & Young Jae Jang & James R. Morrison, 2020. "Artificial intelligence in manufacturing and logistics systems: algorithms, applications, and case studies," International Journal of Production Research, Taylor & Francis Journals, vol. 58(9), pages 2730-2731, May.
    2. Alin Marius Andrieș & Iulia Ungureanu, 2022. "ERP and Performance of Companies in Romania," JRFM, MDPI, vol. 15(10), pages 1-12, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nir Chemaya & Daniel Martin, 2023. "Perceptions and Detection of AI Use in Manuscript Preparation for Academic Journals," Papers 2311.14720, arXiv.org, revised Jan 2024.
    2. Kshetri, Nir, 2023. "Organizational impacts of the industrial metaverse," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done? 277992, International Telecommunications Society (ITS).
    3. Shivam Gupta & Sachin Modgil & Samadrita Bhattacharyya & Indranil Bose, 2022. "Artificial intelligence for decision support systems in the field of operations research: review and future scope of research," Annals of Operations Research, Springer, vol. 308(1), pages 215-274, January.
    4. Popescu Anca, 2023. "The Role Of Artificial Intelligence In Digital Marketing Strategies," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 3, pages 127-134, June.
    5. Miha Dominko & Kaja Primc & Renata Slabe-Erker & Barbara Kalar, 2023. "A bibliometric analysis of circular economy in the fields of business and economics: towards more action-oriented research," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 5797-5830, July.
    6. Bag, Surajit & Pretorius, Jan Ham Christiaan & Gupta, Shivam & Dwivedi, Yogesh K., 2021. "Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities," Technological Forecasting and Social Change, Elsevier, vol. 163(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:poicbe:v:17:y:2023:i:1:p:1919-1928:n:29. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.