Towards cloud-based supply chain processes Designing a reference model and elements of a research agenda

Autor(en): Jede, Andreas
Teuteberg, Frank 
Stichwörter: ADOPTION; AGILITY; ANTECEDENTS; Business & Economics; Cloud computing; IMPACT; INFORMATION-SYSTEMS; INTEGRATION; Management; PERFORMANCE; Reference modelling; RISK-MANAGEMENT; SECURITY; SERVICE; Supply chain management; Systematic literature review
Erscheinungsdatum: 2016
Volumen: 27
Ausgabe: 2
Startseite: 438
Seitenende: 462
Purpose - There are cloud computing (CC) services available for various applications within the supply chain management (SCM). These services offer, for example, consistent global networking platforms and enable quick decision making, which may strengthen competitive advantages. The specification of the single-related elements and the coordination mechanisms between actors and information flows is complex. In this paper, the authors argue that reference models can accelerate understanding these processes. The purpose of this paper is to gain an understanding of the current state of the underlying research field and to present a reference model that supports theory and practice in adopting CC services at SCM. Design/methodology/approach - This paper provides a cross-discipline systematic literature review from the research perspectives of information systems and SCM. Based on 102 papers, the authors designed a reference model showing the interrelations between various elements of CC and SCM. Findings - The authors discover the most important chances and risks for CC implementations in supply chain (SC) processes and pay special attention to SC sustainability aspects of CC. Until now, SCM research in the realm of CC usage is still in its infancy both in theory and practice. Originality/value - To the best of the authors' knowledge, there is no systematic literature review that consistently focusses CC usage within SC processes while integrating specific aspects of strategic theory. The obtained insights lead to the first SCM-related reference model for CC usage.
ISSN: 09574093
DOI: 10.1108/IJLM-09-2014-0139

Show full item record

Page view(s)

Last Week
Last month
checked on Mar 1, 2024

Google ScholarTM