A cloud-based supply chain management system: effects on supply chain responsiveness

Abstract

Purpose Despite the ongoing calls for the incorporation of the cloud utility model, the effect of the cloud on elements of supply chain performance is still an evolving area of research. The purpose of this paper is to develop the architecture of a cloud-based supply chain management (C-SCM) ecosystem and explore how it enhances supply chain responsiveness (SCR). Design/methodology/approach First, the authors discuss the potential benefits that cloud computing can yield, compared to existing mature SCM information systems and solutions through a comprehensive literature review. The authors conceptualise SCR in terms of the level of visibility in the supply chain, supply chain flexibility and rapid detection and reaction to changes, and then the authors build the detailed architecture of a C-SCM system. The proposed ecosystem introduces a view of SCM and the associated practices when transferred to cloud environments. The potential to enhance SCR through the cloud is explored with scenarios on a case of supply chain operations in fashion retail industry. Findings The findings show that the proposed system can enhance all three dimensions of SCR. Implications for supply chain practice and how companies can migrate to a cloud supply chain are drawn. Originality/value Given that the development, creation and delivery of goods and services are increasingly becoming a joint effort of several parties in a supply chain, the authors contribute to the existing literature by introducing a comprehensive C-SCM system and show how companies can enhance their SCR.

E-Learning Based on Cloud Computing

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Understanding the influential and mediating role of cultural enablers of AI integration to supply chain

“…In the context of OSCM, the increase in the frequency and impact of global events (i.e. natural and man-made disasters) has prompted organisations to critically evaluate their capabilities for resource reallocation and SC resilience through data-driven approaches (Remko 2020;Wamba and Akter 2019;Giannakis et al 2019). Datadriven technological approaches, such as AI and BDA capability in organisations could draw on unstructured data to enhancing adaptive SC capability to cope with future interruptions from global events (Dubey et al 2019;.…”

An integrated fuzzy-ANP and fuzzy-ISM approach using blockchain for sustainable supply chain

“…The contribution of Information technology plays the role of critical success factor for both independent and dependent firms based on supply chain management (SCM) (Fuchs et al ., 2018) involved and working for fulfilling the customer need and requirement. Contribution of information technology (Reichstein, 2019) such as blockchain (BC), cloud computing (Giannakis et al , 2019) is a game-changer for highly complex SC-based organizations. BC is a new emerging technology based on computer and information engineering.…”

“…In this running competition (El-Kassar and Singh, 2019), developing countries are increasing a variety of pollution, which in turn supports global warming. Now the global environment is facing radical changes that are going to develop pressure on manufacturing firms, including fierce global competition, shorter product life cycles, increasing customer expectation, fluctuating inventory and changing costs (Giannakis et al , 2019). BC technology will occur as a solution to global pollution in terms of low carbon (Mishra and Singh, 2019) emission, that is, reduction of paperwork, low physical movement of articles and so on, although the impact of BC technology is not clear in real time (Tönnissen and Teuteberg, 2019).…”