IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v13y2025i11p1699-d1661822.html
   My bibliography  Save this article

A Cloud-Based Approach to Modeling ERP Information Flows Using a Bivariate Pólya–Aeppli Process

Author

Listed:
  • Fatima Sapundzhi

    (Department of Communication and Computer Engineering, Faculty of Engineering, South-West University “Neofit Rilski”, 66 Ivan Mihaylov Str., 2700 Blagoevgrad, Bulgaria)

  • Vesna Dimitrova

    (Department of Communication and Computer Engineering, Faculty of Engineering, South-West University “Neofit Rilski”, 66 Ivan Mihaylov Str., 2700 Blagoevgrad, Bulgaria)

  • Meglena Lazarova

    (Faculty of Applied Mathematics and Informatics, Technical University of Sofia, 8 “St. Kliment Ohridski”, Blvd., 1000 Sofia, Bulgaria)

  • Slavi Georgiev

    (Department of Informational Modeling, Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, 8 Acad. Georgi Bonchev Str., 1113 Sofia, Bulgaria
    Department of Applied Mathematics and Statistics, Faculty of Natural Sciences and Education, Angel Kanchev University of Ruse, 8 Studentska Str., 7004 Ruse, Bulgaria)

  • Michail Todorov

    (Department of Differential Equations and Mathematical Physics, Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, 8 Acad. Georgi Bonchev Str., 1113 Sofia, Bulgaria)

  • Venelin Todorov

    (Department of Informational Modeling, Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, 8 Acad. Georgi Bonchev Str., 1113 Sofia, Bulgaria
    Department of Parallel Algorithms and Machine Learning with a Laboratory in Neurotechnologies, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 25A Acad. Georgi Bonchev Str., 1113 Sofia, Bulgaria)

Abstract

Fast-growing technology and the development of IT services give the idea of founding a new application of stochastic processes and their properties. We give a new connection between electronic process management and a stochastic process named the bivariate Pólya–Aeppli counting process. This process is applied as a counting process in the mathematical construction of the given model and it has been introduced as a counting process in electronic process management. In our current study, we assume a company that has two locations in two countries—Bulgaria and Romania. For seamless communication and data sharing, the integrated factories leverage the System Applications and Products in Data Processing (SAP) system. By combining these functions into one structure, we optimize coordination, streamline operations, and improve the company’s productivity and profitability. The automated tools within the system facilitate uninterrupted production and secure supply chains and thus the decision making is improved. A key benefit of these tools is to boost production and procurement activities for success in today’s competitive market which results in cost savings, will increase visibility, and also will improve rapid decision making.

Suggested Citation

  • Fatima Sapundzhi & Vesna Dimitrova & Meglena Lazarova & Slavi Georgiev & Michail Todorov & Venelin Todorov, 2025. "A Cloud-Based Approach to Modeling ERP Information Flows Using a Bivariate Pólya–Aeppli Process," Mathematics, MDPI, vol. 13(11), pages 1-20, May.
  • Handle: RePEc:gam:jmathe:v:13:y:2025:i:11:p:1699-:d:1661822
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/13/11/1699/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/13/11/1699/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jaspreet Bagga, 2023. "A Practical Guide to SAP Integration Suite," Springer Books, Springer, number 978-1-4842-9337-9, June.
    2. Zeplin Jiwa Husada Tarigan & Hotlan Siagian & Ferry Jie, 2021. "Impact of Enhanced Enterprise Resource Planning (ERP) on Firm Performance through Green Supply Chain Management," Sustainability, MDPI, vol. 13(8), pages 1-20, April.
    3. Adnan Al-Banna & Zaid Ashraf Rana & Mohammed Yaqot & Brenno Menezes, 2023. "Interconnectedness between Supply Chain Resilience, Industry 4.0, and Investment," Logistics, MDPI, vol. 7(3), pages 1-23, August.
    4. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris & Jabeen, Fauzia, 2022. "Digital transformation of organization using AI-CRM: From microfoundational perspective with leadership support," Journal of Business Research, Elsevier, vol. 153(C), pages 46-58.
    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. Daniela Ioniță & Andreea Orîndaru & Marian Bratu, 2022. "CRM Software Adoption by Small Enterprises," Journal of Emerging Trends in Marketing and Management, The Bucharest University of Economic Studies, vol. 1(1), pages 189-199, November.
    2. Muwen Wang & Kecheng Zhang, 2022. "Improving Agricultural Green Supply Chain Management by a Novel Integrated Fuzzy-Delphi and Grey-WINGS Model," Agriculture, MDPI, vol. 12(10), pages 1-19, September.
    3. Lorena Espina-Romero & Doile Ríos Parra & José Gregorio Noroño-Sánchez & Gloria Rojas-Cangahuala & Luz Emerita Cervera Cajo & Pedro Alfonso Velásquez-Tapullima, 2024. "Navigating Digital Transformation: Current Trends in Digital Competencies for Open Innovation in Organizations," Sustainability, MDPI, vol. 16(5), pages 1-19, March.
    4. Kumar, Aman & Shankar, Amit & Behl, Abhishek & Pereira, Vijay & Kapoor, Payal & Papa, Armando, 2025. "Implementing enterprise metaverse as a means of enhancing growth hacking performance: Will adopting the metaverse be a success in organizations?," Journal of Business Research, Elsevier, vol. 188(C).
    5. Mohamed Rafik Noor Mohamed Qureshi, 2022. "Evaluating Enterprise Resource Planning (ERP) Implementation for Sustainable Supply Chain Management," Sustainability, MDPI, vol. 14(22), pages 1-21, November.
    6. Zhi-Guang Li & Yanrui Wu & Yao-Kuang Li, 2023. "Technical Founders, Digital Transformation and Corporate Technological Innovation: Empirical Evidence from Listed Companies in China’s STAR Market," Economics Discussion / Working Papers 23-03, The University of Western Australia, Department of Economics.
    7. Shams, Riad & Chatterjee, Sheshadri & Chaudhuri, Ranjan, 2024. "Developing brand identity and sales strategy in the digital era: Moderating role of consumer belief in brand," Journal of Business Research, Elsevier, vol. 179(C).
    8. Abdullah Awadh Aljuaid & Syed Athar Masood & Javed Ahmed Tipu, 2024. "Integrating Industry 4.0 for Sustainable Localized Manufacturing to Support Saudi Vision 2030: An Assessment of the Saudi Arabian Automotive Industry Model," Sustainability, MDPI, vol. 16(12), pages 1-17, June.
    9. Naila Nureen & Da Liu & Muhammad Irfan & Maida Malik & Usama Awan, 2023. "Nexuses among Green Supply Chain Management, Green Human Capital, Managerial Environmental Knowledge, and Firm Performance: Evidence from a Developing Country," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
    10. Jorzik, Philip & Klein, Sascha P. & Kanbach, Dominik K. & Kraus, Sascha, 2024. "AI-driven business model innovation: A systematic review and research agenda," Journal of Business Research, Elsevier, vol. 182(C).
    11. Ruben Wahyu Santoso & Hotlan Siagian & Zeplin Jiwa Husada Tarigan & Ferry Jie, 2022. "Assessing the Benefit of Adopting ERP Technology and Practicing Green Supply Chain Management toward Operational Performance: An Evidence from Indonesia," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
    12. Silvia Colabianchi & Margherita Bernabei & Francesco Costantino & Elpidio Romano & Andrea Falegnami, 2023. "MARLIN Method: Enhancing Warehouse Resilience in Response to Disruptions," Logistics, MDPI, vol. 7(4), pages 1-34, December.
    13. Changchun Li & Sen Wang, 2022. "Digital Optimization, Green R&D Collaboration, and Green Technological Innovation in Manufacturing Enterprises," Sustainability, MDPI, vol. 14(19), pages 1-20, September.
    14. Codruța Cornelia Dura & Ana Maria Mihaela Iordache & Alexandru Ionescu & Claudia Isac & Teodora Odett Breaz, 2022. "Analyzing Performance in Wholesale Trade Romanian SMEs: Framing Circular Economy Business Scenarios," Sustainability, MDPI, vol. 14(9), pages 1-34, May.
    15. Levent Gun & Salih Zeki Imamoglu & Hulya Turkcan & Huseyin Ince, 2024. "Effect of Digital Transformation on Firm Performance in the Uncertain Environment: Transformational Leadership and Employee Self-Efficacy as Antecedents of Digital Transformation," Sustainability, MDPI, vol. 16(3), pages 1-17, January.
    16. James Adu Peprah & John Amoah & Kofi Kwarteng & Abdul Bashiru Jibril & Taimur Sharif, 2025. "Artificial intelligence and additive manufacturing for resilient supply chain in Africa: A systematic literature review," Future Business Journal, Springer, vol. 11(1), pages 1-12, December.
    17. Chaudhuri, Ranjan & Singh, Bindu & Agrawal, Amit Kumar & Chatterjee, Sheshadri & Gupta, Shivam & Mangla, Sachin Kumar, 2024. "A TOE-DCV approach to green supply chain adoption for sustainable operations in the semiconductor industry," International Journal of Production Economics, Elsevier, vol. 275(C).
    18. Qiwei Zhou & Lingqiao Zang & Feiqiang Fu, 2024. "Influence of employee impact on their evaluation of enterprise digital capability: a mediated moderation model," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    19. Zhi-Guang Li & Yanrui Wu & Yao-Kuang Li, 2024. "Technical founders, digital transformation and corporate technological innovation: empirical evidence from listed companies in China’s STAR market," International Entrepreneurship and Management Journal, Springer, vol. 20(4), pages 3155-3180, December.
    20. Gillani, Fatima & Chatha, Kamran Ali & Jajja, Shakeel Sadiq & Cao, Dongmei & Ma, Xiao, 2024. "Unpacking Digital Transformation: Identifying key enablers, transition stages and digital archetypes," Technological Forecasting and Social Change, Elsevier, vol. 203(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:gam:jmathe:v:13:y:2025:i:11:p:1699-:d:1661822. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.