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Analysis Factors in the Adoption of Digital Manufacturing Technologies in SMEs

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Intelligent Manufacturing and Energy Sustainability

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 265))

Abstract

Small and medium enterprises (SMEs) are investing in adoption of digital manufacturing technologies to scope system complexity, increase information visibility, improve production performance, and gain competitive advantages in the global market. This article presents an analysis of the technology adoption models for the implementation of digital manufacturing to identify which factors influence the implementation process. We discuss the methodology for using technology adoption models. We hope this work will help multidisciplinary research efforts to advance in the adoption of digital manufacturing technologies in SMEs.

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References

  1. Taherdoost, H.: A review of technology acceptance and adoption models and theories. Proc. Manuf. 22, 960–967 (2018)

    Google Scholar 

  2. Gillani, F., Chatha, K.A., Sadiq Jajja, M.S., Farooq, S.: Implementation of digital manufacturing technologies: antecedents and consequences. Int. J. Prod. Econ. 229, 107748 (2020)

    Google Scholar 

  3. Dalenogare, L.S., Benitez, G.B., Ayala, N.F., Frank, A.G.: The expected contribution of Industry 4.0 technologies for industrial performance. Int. J. Prod. Econ. 204, 383–394 (2018)

    Google Scholar 

  4. Lai, P.: The literature review of technology adoption models and theories for the novelty technology. J. Inf. Syst. Technol. Manag. 14(1), 21–38 (2017)

    Google Scholar 

  5. Fosso Wamba, S., Queiroz, M.M., Trinchera, L.: Dynamics between blockchain adoption determinants and supply chain performance: an empirical investigation. Int. J. Prod. Econ. 229, 107791 (2020)

    Google Scholar 

  6. Kamble, S., Gunasekaran, A., Arha, H.: Understanding the blockchain technology adoption in supply chains-Indian context. Int. J. Prod. Res. 57(7), 2009–2033 (2019)

    Google Scholar 

  7. Sepasgozar, S.M.E.: Digital technology utilization decisions for facilitating the implementation of industry 4.0 technologies. Constr. Innov. (2020)

    Google Scholar 

  8. Zaman, U., Zahid, H., Habibullah, M.S., Din, B.H.: Adoption of big data analytics (BDA) technologies in disaster management: a decomposed theory of planned behavior (DTPB) approach. Cogent Bus. Manag. 8(1), 1880253 (2021)

    Google Scholar 

  9. Masood, T., Sonntag, P.: Industry 4.0: adoption challenges and benefits for SMEs. Comput. Ind. 121, 103261 (2020)

    Google Scholar 

  10. Junior, C.H., Oliveira, T., Yanaze, M.: The adoption stages (evaluation, adoption, and routinisation) of ERP systems with business analytics functionality in the context of farms. Comput. Electron. Agric. 156, 334–348 (2019)

    Google Scholar 

  11. Khayer, A., Talukder, M.S., Bao, Y., Hossain, M.N.:Cloud computing adoption and its impact on SMEs’ performance for cloud supported operations: a dual-stage analytical approach. Technol. Soc. 60, 101225 (2020)

    Google Scholar 

  12. Mayaram, U., Dussoye, A., Cadersaib, Z.: ERP acceptance model for SMEs based on CSFs. In: Proceedings of NextComp 2019, pp. 1–6 (2019)

    Google Scholar 

  13. Khayer, A., Jahan, N., Hossain, M.N., Hossain, M.Y.: The adoption of cloud computing in small and medium enterprises: a developing country perspective. VINE J. Inf. Knowl. Manag. Syst. (2020)

    Google Scholar 

  14. Rababah, K.A., Al-nassar, B.A., Al-Nsour, S.N.: Factors influencing the adoption of cloud computing in small and medium enterprises in Jordan. Int. J. Cloud Appl. Comput. 10(3), 96–110 (2020)

    Google Scholar 

  15. Ghobakhloo, M., Ching, N.T.: Adoption of digital technologies of smart manufacturing in SMEs. J. Ind. Inf. Integr. 16, 100107 (2019)

    Google Scholar 

  16. Awa, H.O., Ojiabo, O.U.: A model of adoption determinants of ERP within TOE framework. Inf. Technol. People 29(4), 901–930 (2016)

    Google Scholar 

  17. Masood, T., Egger, J.: Augmented reality in support of Industry 4.0—implementation challenges and success factors. Robot. Comput. Integr. Manuf. 58, 181–195 (2019)

    Google Scholar 

  18. Chintalapati, N., Daruri, V.S.K.: Examining the use of YouTube as a learning resource in higher education: scale development and validation of TAM model. Telemat. Inf. 34(6), 853–860 (2017)

    Google Scholar 

  19. Davvetas, V., Diamantopoulos, A., Zaefarian, G., Sichtmann, C.: Ten basic questions about structural equations modeling you should know the answers to—but perhaps you don’t. Ind. Mark. Manag. 90, 252–263 (2020)

    Google Scholar 

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Correspondence to Luisa Maria Tumbajoy .

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Tumbajoy, L.M., Muñoz-Añasco, M. (2022). Analysis Factors in the Adoption of Digital Manufacturing Technologies in SMEs. In: Reddy, A.N.R., Marla, D., Favorskaya, M.N., Satapathy, S.C. (eds) Intelligent Manufacturing and Energy Sustainability. Smart Innovation, Systems and Technologies, vol 265. Springer, Singapore. https://doi.org/10.1007/978-981-16-6482-3_56

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  • DOI: https://doi.org/10.1007/978-981-16-6482-3_56

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-6481-6

  • Online ISBN: 978-981-16-6482-3

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