Electronic Supply Chain Management Systems Research Articles

Adoption of electronic supply chain management systems: the mediation role of information sharing

PurposeBased on structural embeddedness theory and resource dependence theory, this research aims to examine the mediation role of information sharing in the relationship between deendency structures and electronic supply chain management system (eSCM) adoption and a firm's intention to adopt eSCMs.Design/methodology/approachA survey questionnaire was undertaken from 212 companies based in Mainland China. Three-stage least squares (3SLS) regression was employed to test the research model.FindingsThe results from 3SLS regressions showed that the effect of interdependence on eSCM adoption intention is fully mediated through information sharing when relationship duration is either below or about the mean. Interdependence and dependence disadvantage was shown to have significant positive effects on eSCM adoption while the effect of dependence advantage was statistically insignificant. Relationship duration was found to negatively moderate the relationship between information sharing and adoption intention.Originality/valueThrough investigating factors of inter-organizational relationships, this study fills the knowledge gap in the traditional paradigms which ignore the collaborative nature of eSCM and analyse related problems based on a single firm's point of view.

E-Supply Chain Management Model for Garment & Textile Industry with Limitation of Technological Capabilities

Electronic Supply Chain Management (E-SCM) can be implemented by collaborating several electronic concepts for business process such as E-Transportation, E-Distribution, E-Fulfilment, Enterprise Resource Planning (ERP) and Warehouse Management System (WMS). These concepts require high technology, expensive implementation, high skill and cost in development. Garment and textile are the most numerous industries in Indonesia, especially in West Java, E-SCM can increased efficiency and effectively for textile or garment companies, but E-SCM development requires high costs and high technology. These are problems when many garment and textile companies in Indonesia have limited capabilities of technology. In this research we design new E-SCM model with Value Chain Analysis approach and used Software Architectural Design to make the model. We divided E-SCM system for garment and textile industry in multiple layers and then we collaborate with two existing E-SCM frameworks, namely E-Supply Chain Management Process and Technology Integration Framework and E-SCM Multi-Agent System Framework. We combine layers components with the relevant layers of the existing E-SCM frameworks. The result is a new E-SCM model for garment and textile industry that can accommodate limitations of technological capabilities.

Impact of cloud-based information sharing on hospital supply chain performance: A system dynamics framework

The inadequacies of traditional information sharing are amplified in the healthcare sector. Poor demand and inventory visibility result in demand and supply mismatch of healthcare products in ways that may have dire economic and patient care consequences. For instance, a hospital drug shortage often requires an emergency delivery. These emergency refills increase cost and may disrupt a patient's recovery process. In recent years, innovations in information technology have been leveraged to improve supply chain collaboration and move closer to matching supply with demand. In this article, we build on that body of research by examining cloud computing as an enabler of electronic supply chain management systems (e-SCMs) that enhances collaborative information sharing in a multi-echelon hospital supply chain. We use systems theory and system dynamics to develop two conceptual, causal loop diagrams (CLDs); one representing traditional and the other cloud-based information sharing in a hospital supply chain. CLDs and their equivalent system dynamics models are used to simulate the performance of traditional and cloud-based hospital supply chains. We compare the performance metrics of both models: average inventory levels, lead time, and unfilled orders. The findings of this study show that cloud-based information sharing improves visibility in healthcare supply chains. As supply chain visibility increases, a hospital's responsiveness improves. Hospitals are now in a better position to accommodate fluctuations in patient demand and supply lead times. As a consequence, hospital supply chains will experience reductions in inventory costs, supply costs, and supply shortages.

Understanding the determinants of electronic supply chain management system adoption: Using the technology–organization–environment framework

Abstract Based on the technological innovation literature and technology–organization–environment framework, this study develops a research model to investigate the determinants of electronic supply chain management system (e-SCM) adoption across non-adopters and adopters. The research model examines the influence of technological context (perceived benefits and perceived costs), organizational context (firm size, top management support, and absorptive capacity), and environmental context (trading partners and competitive advantage) on e-SCM adoption. Data gathered from 283 IS managers (127 for non-adopters and 156 for adopters) in large Taiwanese firms were employed to test the relationships between the research model constructs using the logistic regression analysis. The results reveal that firms with certain perceived benefits, perceived costs, top management support, absorptive capacity, and competitive pressure are more likely to adopt e-SCM. While technological context is a major determinant of the decision to adopt, it has no direct effect on the extent of e-SCM adoption. The extent of e-SCM adoption is mainly determined by organizational and environmental contexts. Implications for practice and research are discussed.

Adoption of cloud computing technologies in supply chains

PurposeThe purpose of this paper is to employ organizational information processing theory to assess how a firm's information processing requirements and capabilities combine to affect the intention to adopt cloud computing as an enabler of electronic supply chain management systems. Specifically, the paper examines the extent to which task uncertainty, environmental uncertainty, and inter‐organizational uncertainty affect intention to adopt cloud computing technology and how information processing capability may moderate these relationships.Design/methodology/approachThe paper uses a multiple method approach, thus examining the hypothesized model with both quantitative and qualitative methods. To begin, the paper incorporates a Delphi study as a way in which to choose a practically relevant characterization of the moderating variable, information processing capability. The authors then use a survey method and hierarchical linear regression to quantitatively test their hypotheses. Finally, the authors employ interviews to gather additional qualitative data, which they examine via use of content analysis in order to provide additional insight into the tenability of the proposed model.FindingsThe quantitative analysis suggests that significant two‐way interactions exist between each independent variable and the moderating variable; each of these interactions is significantly related to intention to adopt cloud computing. The qualitative results support the assertion that information processing requirements and information processing capability affect intention to adopt cloud computing. These findings support the relationships addressed in the hypothesized model and suggest that the decision to adopt cloud computing is based upon complex circumstances.Research limitations/implicationsThis research is limited by the use of single key informants for both the quantitative and qualitative portions of the study. Nonetheless, this study enhances understanding of electronic supply chain management systems, and specifically cloud computing, through the application of organizational information processing theory. The authors’ mixed‐methods approach allowed them to draw more substantive conclusions; the findings provide a theoretical and empirical foundation for future research in this area, and also suggest the use of additional theoretical perspectives.Practical implicationsThis study provides insight that can help supply chain managers to better understand how requirements, when coupled with capabilities, may influence the decision to adopt cloud computing as an enabler of supply chain management systems.Originality/valueAs an emerging technology, cloud computing is changing the form and function of information technology infrastructures. This study enhances the understanding of how this technology may diffuse within the supply chain.

Designing an Electronic Supply Chain Management System in an Electronic Market Considering Customer Satisfaction and Logistic

A supply chain is a network of suppliers, factories, warehouses, distribution centers, and retailers, through which raw materials are received, transformed, produced and delivered to the customer. An effective and efficient way of handling this network is called a Supply Chain Management System (SCMS). The purpose of this study is to design an electronic supply chain system to be capable in an electronic market. Here, the authors consider a supply chain composed of supplier, plant, and customer. The aim is to optimize a real time web-based order-delivery system in which customer satisfaction is noted. As such, a comprehensive web-based order-delivery system in an electronic market is proposed and optimized applying mathematical programming.

How do mediated and non-mediated power affect electronic supply chain management system adoption? The mediating effects of trust and institutional pressures

Electronic Supply Chain Management systems (eSCMS), as instances of information technologies spanning organizational boundaries, have the potential to provide operational and strategic benefits. However, the high uncertainty of adoption consequences impedes firms from adopting eSCMS. Research on how to facilitate eSCMS adoption is of significance. This study investigates how institutional and socio-political factors in a dyadic trading partner relationship affect the dependent firm's eSCMS adoption intention. In contrast to prior research, we examine the confluence of institutional pressures, the focal firm's trust and the dominant firm's power. In particular, we differentiate power of different sources, and examine the mediating effects of the focal firm's trust and perceived institutional pressures on the relationship between different types of power exercised by the dominant firm and the focal firm's eSCMS adoption. Data collected from executives in China largely support our research hypotheses. Theoretical contribution and managerial implications of this research are discussed.