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Managing Digital Supply Chain

Supply Chain Forum: an International Journal

In this new era characterized by a complex and dynamic environment and a competitive business marketplace, digitalization has emerged as a new phenomenon that affected several aspects of life over the world. More than 90% of internet users has already made online purchases and about 40% of companies has used sophisticated tools for big data analytics. Moreover, by 2020, there will be already 26 billion “things” enabled with the “Internet of things” (Hung, 2017). Supply chain processes have also been greatly affected by digitalization and it is obvious that the shift from a traditional supply chain to a digital supply chain (DSC) appears as a competitive advantage creating sustainable value for organizations. Several industrial reports have introduced a digital transformation approach for supply chain in the next five years (CapGemini, 2016; EY, 2016).

The DSC will integrate innovative technologies (eg. Augmented reality, Big Data), focus on customers/consumers, reduce intra and inter-organizational costs and create more value for organizations. Therefore, it would be important to address the issues concerning DSC implementation, optimization and development, and new related managerial approaches to better satisfy customers. These issues have been widely discussed by practitioners and have been considered by more and more companies (eg. DHL, DB); while the phenomenon of DSC is in its preliminary steps in the academic world (Büyüközkan and Göçer, 2018) and its potential is still relatively unknown. Indeed, few researches explicitly focused on the concept of DSC and the literature remains fragmented in different research areas. Previous researches focused mainly on the concept of industry 4.0 and the technological drivers of the DSC: Internet of Things (IoT), Big Data (BD), Cloud Computing (CC), Unmanned Aerial Vehicule  (UAV), to name a few.

In this regard, Mohamed Ben-Daya et al. (2017) and Majeed and Rupasinghe (2017) have explored the role of IoT in facilitating planning, control and coordination processes of supply chain and in supporting the Industry 4.0 and DSC. Other studies have explored how BD and predictive analytics enhance supply chain performance by improving visibility, robustness, resilience and organizational performance (Gunasekaran et al., 2017). Given the emerging theorization on DSC and the increasing managerial interest for guidelines supporting the digital transformation of supply chain, it is important to broaden the theoretical and empirical spectrum. Going beyond the study of the implementation of innovative technologies is essential to explore new strategic, organizational and human dimensions that are necessary for the accumulation of knowledge and the creation of a new integrated paradigm of DSC. This Special issue on Digital Supply Chain is the opportunity to fill the theoretical gap and to support managerial approaches by proposing new researches on different topics, among which:

  • Challenges and key success factors for DSC
  • Limits and barriers of DSC
  • Main features of DSC
  • Conceptual models and theoretical DSC framework
  • Case studies, original practices and projects for DSC
  • Configuration of the DSC and the alignment of resources and dynamic capabilities of the organization.
  • New skills and knowledge in DSC.
  • Project management of DSC technologies: IoT, BD, CC, UAV…
  • DSC and risks management
  • Supply chain integration for DSC - from consumer to supplier
  • Bridging Industry 4.0 and DSC
  • Evaluation of DSC performance.
  • DSC and sustainability

Bibliography

Ben-Daya, M., Hassini, E., & Bahroun, Z. (2017). Internet of things and supply chain management: a literature review. International Journal of Production Research, 1-24

Büyüközkan, G., & Göçer, F. (2018). Digital Supply Chain: Literature review and a proposed framework for future research. Computers in Industry, 97, 157-177

CapGemini, I. (2016). GTNexus, “The Current and Future State of Digital Supply Chain Transformation,” GT Nexus, 1-12.

EY (2016), Digital Supply Chain: It is all about data.

Hung, M. (2017). Leading the IoT, Gartner Insights on How to Lead in a Connected World. Gartner Research, 1-29

Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., Childe, S. J., Hazen, B., & Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70, 308-317

Majeed, A. A., & Rupasinghe, T. D. (2017). Internet of Things (IoT) embedded future supply chains for industry 4.0: an assessment from an ERP-based fashion apparel and footwear industry. International Journal of Supply Chain Management, 6(1), 25-40

Submissions

Publication schedule

  • The deadline for submissions of full papers: July 1st, 2019
  • Notification of final acceptance for publication: June, 1st, 2020
  • The special issue is expected to appear in September 2020

Questions should be addressed to the guest editors:

Blandine Ageron
IUT de Valence, CERAG, Université Grenoble Alpes, France
blandine.ageron@univ-grenoble-alpes.fr

Omar Bentahar
IAE Metz, CEREFIGE, Université de Lorraine, France
omar.bentahar@univ-lorraine.fr

Angappa Gunasekaren
School of Business and Public Administration,
California State University, USA
agunasekaran@csub.edu

Blandine Ageron
IUT de Valence, CERAG, Université Grenoble Alpes, France
blandine.ageron@univ-grenoble-alpes.fr

Omar Bentahar
IAE Metz, CEREFIGE, Université de Lorraine, France
omar.bentahar@univ-lorraine.fr

Angappa Gunasekaren
School of Business and Public Administration,
California State University, USA
agunasekaran@csub.edu