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Drivers and consequences of an innovative technology assimilation in the supply chain: cloud computing and supply chain integration

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  • Juan Manuel Maqueira
  • José Moyano-Fuentes
  • Sebastián Bruque

Abstract

Cloud Computing are innovative technologies that are being applied in the main business functions in the supply chain. This study aims to reveal the determinant factors (drivers and a relevant outcome) of the level of use or assimilation of Cloud Computing in the supply chain. In order to test three hypotheses we conducted an empirical study in 484 companies from sectors in an intermediate position in the supply chain. The data gathering method consisted of a telephone survey using a computerised system (CATI). We used structural equation modelling (SEM) to test the hypotheses. The empirical study reveals that Advanced Manufacturing Technologies pursuing the internal efficiency of the supply chain (Intra-organisational IT) and IT for capabilities in e-business/e-commerce seeking external connection of the supply chain with other companies (Inter-organisational IT) are drivers of Cloud Computing assimilation. Furthermore, supply chain integration is one of the major consequences of Cloud Computing assimilation in the supply chain.

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  • Juan Manuel Maqueira & José Moyano-Fuentes & Sebastián Bruque, 2019. "Drivers and consequences of an innovative technology assimilation in the supply chain: cloud computing and supply chain integration," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2083-2103, April.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:7:p:2083-2103
    DOI: 10.1080/00207543.2018.1530473
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    Cited by:

    1. Guoqing Zhang & Yiqin Yang & Guoqing Yang, 2023. "Smart supply chain management in Industry 4.0: the review, research agenda and strategies in North America," Annals of Operations Research, Springer, vol. 322(2), pages 1075-1117, March.
    2. Manish Mohan Baral & Amitabh Verma, 2021. "Cloud Computing Adoption for Healthcare: An Empirical Study Using SEM Approach," FIIB Business Review, , vol. 10(3), pages 255-275, September.
    3. Oliveira-Dias, Diéssica de & Maqueira-Marin, Juan Manuel & Moyano-Fuentes, José & Carvalho, Helena, 2023. "Implications of using Industry 4.0 base technologies for lean and agile supply chains and performance," International Journal of Production Economics, Elsevier, vol. 262(C).
    4. Delke, Vincent & Schiele, Holger & Buchholz, Wolfgang & Kelly, Stephen, 2023. "Implementing Industry 4.0 technologies: Future roles in purchasing and supply management," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    5. Ye, Fei & Liu, Ke & Li, Lixu & Lai, Kee-Hung & Zhan, Yuanzhu & Kumar, Ajay, 2022. "Digital supply chain management in the COVID-19 crisis: An asset orchestration perspective," International Journal of Production Economics, Elsevier, vol. 245(C).
    6. Li Cui & Hao Wu & Lin Wu & Ajay Kumar & Kim Hua Tan, 2023. "Investigating the relationship between digital technologies, supply chain integration and firm resilience in the context of COVID-19," Annals of Operations Research, Springer, vol. 327(2), pages 825-853, August.

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