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The adoption of electronic data interchange (EDI) technology by Nigerian SMEs: A conceptual framework

Author

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  • Maikudi Shehu Musawa

    (Department of Technology Management, Faculty of Technology Management, Business and Entrepreneurship, University Tunn Hussein Onn Malaysia)

  • Eta Wahab

    (Department of Technology Management, Faculty of Technology Management, Business and Entrepreneurship, University Tunn Hussein Onn Malaysia)

Abstract

In these days, the adoption of information technology (IT) in business operations is no longer privilege to large organizations; Small-Medium-Enterprises are also trying to adopt the IT in process of gaining the benefits of using it. Nigerian SMEs have been slow to adopt EDI due to perceived high cost of implementation, lack of willing trading partners and lack of awareness of EDI benefits. However, there has been little research conducted and published on the adoption of Electronic Data Interchange among SMEs in Nigeria. Most previous researches done in the context of developed countries. This study aimed to examine factors affecting the adoption of EDI Technology in Nigerian SMEs and to proposed EDI Technology model to the Nigerian SMEs. The study accepts three factors as determinants of the adoption of electronic data interchange (EDI): perceived benefits, organizational readiness and perceived pressure. A model of Iacovou et al., (1995) used to test the adoption of EDI as was found to be influential in prior EDI research. The primary data was collected by distributing questionnaires to 306 SMEs out of 1500 SMEs in the Northern part of Nigeria their responses analyzed using the SPSS software. All three factors were found to be significant in SMEs EDI adoption, with direct benefits, financial resources, and external pressure being considerably more important than technological resources and internal pressure.

Suggested Citation

  • Maikudi Shehu Musawa & Eta Wahab, 2012. "The adoption of electronic data interchange (EDI) technology by Nigerian SMEs: A conceptual framework," E3 Journal of Business Management and Economics., E3 Journals, vol. 3(2), pages 055-068.
    • Handle: RePEc:etr:series:v:3:y:2012:i:2:p:055-068
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    2. Shet, Sateesh.V. & Poddar, Tanuj & Wamba Samuel, Fosso & Dwivedi, Yogesh K., 2021. "Examining the determinants of successful adoption of data analytics in human resource management – A framework for implications," Journal of Business Research, Elsevier, vol. 131(C), pages 311-326.
    3. Hart O. Awa & Ojiabo Ukoha & Bartholomew C. Emecheta, 2016. "Using T-O-E theoretical framework to study the adoption of ERP solution," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1196571-119, December.
    4. Amit Kumar & Bala Krishnamoorthy, 2020. "Business Analytics Adoption in Firms: A Qualitative Study Elaborating TOE Framework in India," International Journal of Global Business and Competitiveness, Springer, vol. 15(2), pages 80-93, December.
    5. Jewan Singh & Vibhakar Mansotra, 2019. "Towards Development of an Integrated Cloud-Computing Adoption Framework — A Case of Indian School Education System," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 1-27, April.
    6. Lucie Veselá, 2017. "Factors Affecting the Adoption of Electronic Data Interchange," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(6), pages 2123-2130.
    7. Kamble, Sachin S. & Gunasekaran, Angappa & Kumar, Vikas & Belhadi, Amine & Foropon, Cyril, 2021. "A machine learning based approach for predicting blockchain adoption in supply Chain," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
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    10. Hemlata Gangwar & Hema Date & R. Ramaswamy, 2015. "Developing a Cloud-Computing Adoption Framework," Global Business Review, International Management Institute, vol. 16(4), pages 632-651, August.
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