IDEAS home Printed from https://ideas.repec.org/a/sae/globus/v26y2025i1p221-239.html

Investigating ERP Readiness Enablers and Inhibitors Among Egyptian Higher Education Institutions

Author

Listed:
  • Mohamed Soliman
  • Noorliza Karia

Abstract

In light of higher education institutions (HEIs) need to implement intelligent, innovative systems for their digital strategic transformation to stay competitive, the enterprise resource planning (ERP) system can tailor solutions to such technological problems through its integration characteristic. The present study sheds light on the emergence of enablers and inhibitors, explaining technological readiness insight for ERP adoption. The study aims to understand better ERP readiness among HEIs to ease the substantial change required for the adoption process. The findings show a profound perception of ERP systems among 112 Egyptian HEIs, demonstrating that HEIs are technologically ready for adoption. Results reveal that HEIs have positive ERP readiness, although HEIs’ managers are still uncertain and expect some ERP inhibitors. Therefore, ERP adoption is principally contingent on perceiving enablers and eliminating any inhibitors comprising ERP technological readiness. This study delivers practical verification to the higher education context by advancing ERP concepts and characteristics from the HEIs’ perspective. This study, finally, suggests that ERP adoption is beneficial for HEIs

Suggested Citation

  • Mohamed Soliman & Noorliza Karia, 2025. "Investigating ERP Readiness Enablers and Inhibitors Among Egyptian Higher Education Institutions," Global Business Review, International Management Institute, vol. 26(1), pages 221-239, February.
  • Handle: RePEc:sae:globus:v:26:y:2025:i:1:p:221-239
    DOI: 10.1177/0972150920988652
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0972150920988652
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0972150920988652?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. Aboelmaged, Mohamed Gamal, 2014. "Predicting e-readiness at firm-level: An analysis of technological, organizational and environmental (TOE) effects on e-maintenance readiness in manufacturing firms," International Journal of Information Management, Elsevier, vol. 34(5), pages 639-651.
    2. Haberli, Caetano, Jr. & Oliveira, Tiago & Yanaze, Mitsuru, 2017. "Understanding the determinants of adoption of enterprise resource planning (ERP) technology within the agri- food context: the case of the Midwest of Brazil," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 20(5).
    3. Ruivo, Pedro & Oliveira, Tiago & Neto, Miguel, 2014. "Examine ERP post-implementation stages of use and value: Empirical evidence from Portuguese SMEs," International Journal of Accounting Information Systems, Elsevier, vol. 15(2), pages 166-184.
    4. Noorliza Karia, 2018. "Knowledge resources, technology resources and competitive advantage of logistics service providers," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 16(3), pages 414-426, July.
    5. Christos D Melas & Leonidas A Zampetakis & Anastasia Dimopoulou & Vassilis S Moustakis, 2014. "An empirical investigation of Technology Readiness among medical staff based in Greek hospitals," European Journal of Information Systems, Taylor & Francis Journals, vol. 23(6), pages 672-690, November.
    6. Shweta Pandey & Deepak Chawla, 2020. "Exploring Factors That Drive Adoption of Various Categories of M-commerce: An Emerging Market Study," Global Business Review, International Management Institute, vol. 21(2), pages 526-546, April.
    7. Noorliza Karia, 2018. "Knowledge resources, technology resources and competitive advantage of logistics service providers," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 16(4), pages 451-463, October.
    8. Lin, Hsiu-Fen, 2014. "Understanding the determinants of electronic supply chain management system adoption: Using the technology–organization–environment framework," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 80-92.
    9. Zhu, Yan & Li, Yan & Wang, Weiquan & Chen, Jian, 2010. "What leads to post-implementation success of ERP? An empirical study of the Chinese retail industry," International Journal of Information Management, Elsevier, vol. 30(3), pages 265-276.
    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. Srivastava, Deepak Kumar & Kumar, Vikas & Ekren, Banu Yetkin & Upadhyay, Arvind & Tyagi, Mrinal & Kumari, Archana, 2022. "Adopting Industry 4.0 by leveraging organisational factors," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    2. Han, Wucheng & Li, Xiaoyu & Zhu, Weijie & Lu, Ruoyu & Zu, Xu, 2024. "Knowledge digitization and high-tech firm performance: A moderated mediation model incorporating business model innovation and entrepreneurial orientation," Technology in Society, Elsevier, vol. 77(C).
    3. Cheng, Qiang & Liu, Yue & Peng, Chun & He, Xingsong & Qu, Zhouqin & Dong, Qianyu, 2023. "Knowledge digitization: Characteristics, knowledge advantage and innovation performance," Journal of Business Research, Elsevier, vol. 163(C).
    4. Alok Raj & Anand Jeyaraj, 2023. "Antecedents and consequents of industry 4.0 adoption using technology, organization and environment (TOE) framework: A meta-analysis," Annals of Operations Research, Springer, vol. 322(1), pages 101-124, March.
    5. Mehrbakhsh Nilashi & Abdullah M. Baabdullah & Rabab Ali Abumalloh & Keng-Boon Ooi & Garry Wei-Han Tan & Mihalis Giannakis & Yogesh K. Dwivedi, 2025. "How can big data and predictive analytics impact the performance and competitive advantage of the food waste and recycling industry?," Annals of Operations Research, Springer, vol. 348(3), pages 1649-1690, May.
    6. Basile, Vincenzo & Tregua, Marco & Giacalone, Massimiliano, 2024. "A three-level view of readiness models: Statistical and managerial insights on industry 4.0," Technology in Society, Elsevier, vol. 77(C).
    7. Maduku, Daniel K. & Mpinganjira, Mercy & Duh, Helen, 2016. "Understanding mobile marketing adoption intention by South African SMEs: A multi-perspective framework," International Journal of Information Management, Elsevier, vol. 36(5), pages 711-723.
    8. Mehrbakhsh Nilashi & Abdullah Baabdullah & Rabab Ali Abumalloh & Keng-Boon Ooi & Garry Wei-Han Tan & Mihalis Giannakis & Yogesh Dwivedi, 2023. "How can big data and predictive analytics impact the performance and competitive advantage of the food waste and recycling industry?," Post-Print hal-05081422, HAL.
    9. Usha Devi Raman & Shishi Kumar Piaralal & Nur Amalina Zulkefli & Yon Rosli Daud & Sazrin Mohd Mohtar & Ahmad Aiman Dahakim, 2025. "Sustainable Energy Transition among SMEs: Conceptualizing Determinants of Intention to Adopt Solar Energy Technology," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(9), pages 8162-8173, September.
    10. Subhodeep Mukherjee & Venkataiah Chittipaka, 2022. "Analysing the Adoption of Intelligent Agent Technology in Food Supply Chain Management: An Empirical Evidence," FIIB Business Review, , vol. 11(4), pages 438-454, December.
    11. Maike Müller & Dirk Stegelmeyer & Rakesh Mishra, 2023. "Development of an augmented reality remote maintenance adoption model through qualitative analysis of success factors," Operations Management Research, Springer, vol. 16(3), pages 1490-1519, September.
    12. Karim, Sitara & Naz, Farah & Naeem, Muhammad Abubakr & Vigne, Samuel A., 2022. "Is FinTech providing effective solutions to Small and Medium Enterprises (SMEs) in ASEAN countries?," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 335-344.
    13. Hiran, Kamal Kant & Dadhich, Manish, 2024. "Predicting the core determinants of cloud-edge computing adoption (CECA) for sustainable development in the higher education institutions of Africa: A high order SEM-ANN analytical approach," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    14. Juan A. Martínez-Román & Isidoro Romero, 2017. "Determinants of innovativeness in SMEs: disentangling core innovation and technology adoption capabilities," Review of Managerial Science, Springer, vol. 11(3), pages 543-569, July.
    15. Habib Saragih, Arfah & Ali, Syaiful & Suwardi, Eko & Utomo, Hargo, 2024. "Finding the missing pieces to an optimal corporate tax savings: Information technology governance and internal information quality," International Journal of Accounting Information Systems, Elsevier, vol. 52(C).
    16. Yangyang Zheng & Feng Liao & Mengling Tian, 2025. "Examining the factors influencing the digital transformation of new agricultural operating entities: insights from Zhejiang, China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-14, December.
    17. Fildes, Robert & Goodwin, Paul, 2021. "Stability in the inefficient use of forecasting systems: A case study in a supply chain company," International Journal of Forecasting, Elsevier, vol. 37(2), pages 1031-1046.
    18. Henn, Nicolas & Lohwasser, Todor S., 2020. "The advances of community cloud computing in the business-to-business buying process," Discussion Papers of the Institute for Organisational Economics 6/2020, University of Münster, Institute for Organisational Economics.
    19. Wei Guan & Wenhong Ding & Bobo Zhang & Jerome Verny & Rubin Hao, 2023. "Do supply chain related factors enhance the prediction accuracy of blockchain adoption? A machine learning approach," Post-Print hal-04063438, HAL.
    20. Elisa Giampietri & Samuele Trestini, 2020. "Analysing farmers' intention to adopt web marketing under a technology-organisation-environment perspective: A case study in Italy," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 66(5), pages 226-233.

    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:sae:globus:v:26:y:2025:i:1:p:221-239. 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: SAGE Publications (email available below). General contact details of provider: http://www.imi.edu/ .

    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.