Managing resources and innovation inside the industry (Industrial) 4.0 Revolution: The role of Supply Chain
DOI:
https://doi.org/10.7433/s109.2019.03Keywords:
industry 4.0; supply chain; innovation; technological resources; business modelAbstract
Purpose of the paper: On the lights of Resource Based View (RBV), this research aims to analyse the impact of resources on Process Innovation (PI) in the context of Industry 4.0 (I4.0), thus proposing stimuli coming from Supply Chain (SC) as moderator of this relationship.
Methodology: Our conceptual model was tested on a sample of 115 Italian firms and data were collected through a structured survey submitted to purchasing and buyer agents/managers.
Results: The econometric analysis shows a positive impact of resources 4.0 on PI, and horizontal stimuli coming from SC (Competitors, Universities, Consultants, and Technology Transfer Offices) were found to positively moderate this relationship. Moreover, post-hoc analysis shows that firms can obtain higher PI outcomes combining the exploitation of horizontal 4.0 stimuli with changes on BM.
Research limitations: This research presents three main limitations: (i) geographic location, all firms are Italian; (ii) timing, it assesses I4.0 in an early stage for the Italian entrepreneurial ecosystem; (iii) moderate sample size.
Practical implications: This study contributes to the understanding of both academic and practitioners of the impact of I4.0 on SC, trying to grasp not only the effect of internal resources but also of external stimuli.
Originality of the paper: To the best of our knowledge this paper is the first one analysing the impact of I4.0 stimuli on SC. Moreover, the survey involved a relevant number of on-field experts in comparison to similar studies on Supply Chain and I4.0 effects.
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BEN-DAYA M., HASSINI E., BAHROUN Z. (2017), “Internet of things and supply chain management: a literature review”, International Journal of Production Research, vol. 57, n. 16, pp. 4719-4742.
BERTINI S. (2017), Il posizionamento tecnologico delle supply chain toscane sul tema fabbrica 4.0, Irpet, Firenze.
BIENHAUS F., HADDUD A. (2018), “Procurement 4.0: factors influencing the digitisation of procurement and supply chains”, Business Process Management Journal, vol. 24, n. 4, pp. 965-984.
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BITTIGHOFER D., DUST M., IRSLINGER A., LIEBICH M., MARTIN L. (2018), “State of Industry 4.0 Across German Companies”, in AA.VV., System Sciences, 2018 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), IEEE, Stuttgart.
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CARBONNEAU R., LAFRAMBOISE K., VAHIDOV R. (2008), “Application of machine learning techniques for supply chain demand forecasting”, European Journal of Operational Research, n. 184, pp. 1453-1462.
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CHEN I.J., PAULRAJ A. (2004), “Towards a theory of supply chain management: the constructs and measurements”, Journal of Operations Management, vol. 22, n. 2, pp. 119-150.
DALENOGARE L.S., BENITEZ G.B., AYALA N.F., FRANK A.G. (2018), “The expected contribution of Industry 4.0 technologies for industrial performance”, International Journal of Production Economics, vol. 204, n. 2018, pp. 383-394.
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DING B. (2018), “Pharma industry 4.0: Literature review and research opportunities in sustainable pharmaceutical supply chains”, Process Safety and Environmental Protection, vol. 119, n. 2018, pp. 115-130.
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2019-08-30
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