Abstract:In this paper, we review decision support models for the design of global supply chains, and assess the fit between the research literature in this area and the practical issues of global supply chain design. The classification scheme for this review is based on ongoing and emerging issues in global supply chain management and includes review dimensions for (1) decisions addressed in the model, (2) performance metrics, (3) the degree to which the model supports integrated decision processes, and (4) globalization considerations. We conclude that although most models resolve a difficult feature associated with globalization, few models address the practical global supply chain design problem in its entirety. We close the paper with recommendations for future research in global supply chain modeling that is both forward-looking and practically oriented.

If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services. AbstractPurpose -The purpose of this paper is to summarize and analyze what is known regarding the ways in which stakeholder pressure may influence supply chain sustainability. The authors extend this understanding to develop a number of research questions and propositions for future investigation on this topic. Design/methodology/approach -The authors used a systematic review process to study the empirical evidence pertaining to how a stakeholder perspective helps to understand sustainability in the supply chain management domain. Findings -The review has three main findings: stakeholder pressure on sustainability in supply chain management may result in sustainability awareness, adoption of sustainability goals, and/or implementation of sustainability practices; different types of stakeholders have dissimilar influence in the sustainable supply chain decision areas; different stakeholders appears to be more or less influential depending on whether the sustainability issue is environmental or social. Originality/value -This synthesis contributes to the literature by developing insight into the processes by which stakeholder pressure influences SSCM decisions.

PurposeThe purpose of this paper is to categorize transportation choice research (mode choice and carrier selection) leading to insight on themes in the literature and directions for future researchDesign/methodology/approachThe proposed transportation choice research categorization framework is based on a comprehensive literature review of the peer‐reviewed journal papers published over the past 20 years, supplemented with a review of practitioner articles to identify current challenges in the logistics field. The academic papers are analyzed in terms of research purpose/question, methodology, findings, and challenges addressed.FindingsThe review reveals that several important themes are under‐represented in the transportation choice literature: environmental and energy use concerns; security in the supply chain; supply chain integration; international growth; and the role of the internet and emerging information technologies. This review also found that simulation, case study, and interview methodologies are under‐represented, and that normative modeling research is only lightly represented in this research.Originality/valueThe contributions of this research are three‐fold: the development of a classification scheme for transportation choice research, a structured review that provides a guide to earlier research on the subject of transportation choice, and the identification of research issues for future investigation.

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This paper proposes an approach to analyze demand scenarios in technology-driven markets where product demands are volatile, but follow a few identifiable life-cycle patterns. After analyzing a large amount of semiconductor data, we found that not only can products be clustered by life-cycle patterns, but in each cluster there exists leading indicator products that provide advanced indication of changes in demand trends. Motivated by this finding we propose a scenario analysis structure in the context of stochastic programming. Using the Bass growth model and a Baysian update structure, the proposed method streamlines scenario analysis by focusing on parametric changes of the demand growth model overtime. The Baysian structure allows expert judgement to be incorporated in scenario generation while the Bass growth model allows an efficient representation of time varying demands. Further, by adjusting a likelihood threshold, the method could generate scenario trees of different sizes and accuracy. The structure provides a practical scenario-analysis method for manufacturing demand in a technology market. We demonstrate the applicability of this method using real semiconductor data.