Abstract
Assessing the digital readiness of companies is becoming crucial to undertake a successful journey towards the digitalization of industry. Recently, the attention of both scholars and practitioners has turned to an extension of the assessment to the whole Supply Chain (SC). Given the importance of reaching a high level of integration and digital readiness in all the various actors that collaborate in the SC, some Digital Supply Chain (DSC) assessment models have been proposed mainly in the consulting field. However, to fully exploit the benefits of measuring the digital readiness of a SC, companies need also to be supported in the identification and prioritization of the most relevant opportunities triggered by the deployment of DSC projects. To this purpose, this paper presents a framework that links the potentials of DSC implementations with the SC operation processes, highlighting the most suitable technologies to deploy them. The framework has been conceived starting from a literature review and aims at providing a valuable tool to all the stakeholders involved in the transformation towards Digital Supply Chains.
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References
Nasution, R.A., Rusnandi, L.S.L., Qodariah, E., Arnita, D., Windasari, N.A.: The evaluation of digital readiness concept: existing models and future directions. AJTM. 11, 94–117 (2018) https://doi.org/10.12695/ajtm.2018.11.2.3
Colli, M., Berger, U., Bockholt, M., Madsen, O., Møller, C., Wæhrens, B.V.: A maturity assessment approach for conceiving context-specific roadmaps in the Industry 4.0 era. Annu. Rev. Control 48, 165–177 (2019). https://doi.org/10.1016/j.arcontrol.2019.06.001
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)
Hines, T.: From analogue to digital supply chains: implications for fashion marketing. In: Fashion Marketing: Contemporary Issues, pp. 26–47. Routledge (2001)
Alicke, K., Rachor, J., Seyfert, A.: Supply chain 4.0 – the next-generation digital supply chain. McKinsey (2016)
Scuotto, V., Caputo, F., Villasalero, M., Giudice, M.D.: A multiple buyer – supplier relationship in the context of SMEs’ digital supply chain management. Prod. Plan. Control 28, 1378–1388 (2017). https://doi.org/10.1080/09537287.2017.1375149
Rai, A., Patnayakuni, R., Seth, N.: Firm performance impacts of digitally enabled supply chain integration capabilities. MIS Q. 30, 225–246 (2006)
Min, S., et al.: Supply chain collaboration: what’s happening? Int. J. Log. Manag. 16, 237–256 (2005). https://doi.org/10.1108/09574090510634539
Iddris, F.: Digital supply chain: survey of the literature. Int. J. Bus. Res. Manag. 9, 47–61 (2018)
Hanifan, G., Sharma, A., Newberry, C.: The digital supply network: a new paradigm for supply chain management. In: Accenture Global Management Consulting, pp. 1–8 (2014)
Trkman, P., McCormack, K., de Oliveira, M.P.V., Ladeira, M.B.: The impact of business analytics on supply chain performance. Decis. Support Syst. 49, 318–327 (2010). https://doi.org/10.1016/j.dss.2010.03.007
Büyüközkan, G., Göçer, F.: Digital supply chain: literature review and a proposed framework for future research. Comput. Ind. 97, 157–177 (2018)
Pradabwong, J., Braziotis, C., Tannock, J.D.T., Pawar, K.S.: Business process management and supply chain collaboration: effects on performance and competitiveness. Supply Chain Manag. 22, 107–121 (2017). https://doi.org/10.1108/SCM-01-2017-0008
Townsend, M.A.Y.A.: Priorities for building organizational infrastructure (2006)
Weiner, B.J.: A theory of organizational readiness for change. Implement. Sci. 4, 67 (2009)
Pirola, F., Cimini, C., Pinto, R.: Digital readiness assessment of Italian SMEs: a case-study research. J. Manuf. Technol. Manag. (2019). https://doi.org/10.1108/JMTM-09-2018-0305
Vivares, J.A., Sarache, W., Hurtado, J.E.: A maturity assessment model for manufacturing systems. J. Manuf. Technol. Manag. 29, 746–767 (2018). https://doi.org/10.1108/JMTM-07-2017-0142
DSCI: Digital Supply Chain Transformation Guide: Essential MetricsD (2017). https://www.dscinstitute.org/assets/documents/Digital-Supply-Chain-Transformation-Guide-Essential-Metrics_DSCI_Oct2.pdf
Tecsys: IDN Supply Chain Transformation (2018). https://infohub.tecsys.com/idn-supply-chain-transformation-readiness-assessment-tool
Poole, C., et al.: Gartner’s Demand-Driven Model for Supply Chain Maturity (2015)
APICS: SCOR Supply Chain Operations Reference Model (2017). https://www.apics.org/docs/default-source/scc-non-research/apicsscc_scor_quick_reference_guide.pdf
Wolf, H., Lorenz, R., Kraus, M., Feuerriegel, S., Netland, T.H.: Bringing advanced analytics to manufacturing: a systematic mapping. In: Ameri, F., Stecke, K.E., von Cieminski, G., Kiritsis, D. (eds.) APMS 2019. IAICT, vol. 566, pp. 333–340. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-30000-5_42
Rüßmann, M., et al.: Industry 40: the future of productivity and growth in manufacturing industries. Boston Consult. Group 9(1), 54–89 (2015)
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Cimini, C., Pirola, F., Cavalieri, S. (2020). Identifying the Opportunities for Enhancing the Digital Readiness Level of the Supply Chain. In: Lalic, B., Majstorovic, V., Marjanovic, U., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Production Management Systems. APMS 2020. IFIP Advances in Information and Communication Technology, vol 591. Springer, Cham. https://doi.org/10.1007/978-3-030-57993-7_34
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