Supply chain management as the key to a firm’s strategy in the global marketplace

Purpose: This research aims to analyze the intersection of two literature streams: that of strategy and supply chain management (SCM). This review should create a better understanding of “strategic SCM” by focusing on relevant theories in the strategic management field and their intersection with SCM to develop a joint research agenda. Design/Methodology/Approach: We conducted a correspondence analysis on the content of 3,402 articles from the top SCM journals. This analysis provides a map of the intellectual structure of content in this field to date. The key trends and changes were identified in strategic SCM research from 1990-2014 as well as the intersection with the key schools of strategic management. Findings: The results suggest that SCM is key to a successful deployment of strategy for competing in the global marketplace. The main theoretical foundations for research in this field were identified and discussed. Gaps were detected and combinations of theoretical foundations of strategic management and SCM suggest four poles for future research: agents and focal firm; distributions and logistics strategic models; SCM competitive requirements; SCM relational governance. Research limitations/implications: Scholars in both the strategy and the SCM fields continue to search for competitive advantages. Much recent research indicates that strategic SCM can be a critical source for that advantage. One of the limitations of our research is that the analysis does not include every journal that published an article mentioning SCM. However, the 34 journals selected are reputed to be the most influential on SCM and focused primarily on SCM. Practical implications: The map of the intellectual structure of research to strategic SCM highlights the need to combine different theoretical approaches to the complex phenomenon of SCM. Practitioners should consider the supply chain as an informal organization and should devote time and resources to build a shared advantage across the supply chain. They should also consider the inherent benefits and risks that sharing Originality/value: The paper demonstrates that strategic SCM needs a balanced and rigorous combination of theoretical approaches to deliver more theory-driven evidences. Our research combines both a qualitative analysis and a quantitative methodology that summarizes gaps and then outlines future research from a large sample of articles. This methodology is an original contribution to this field and offers some assistance for enlarging the sample of future literature reviews

A REPRISE OF SUPPLY CHAIN MANAGEMENT IN CONSANGUINITY TO THE INDUSTRY OF TEXTILE

This study investigates supply chain management (SCM) literature to categorize it as well as this study particularly explores studies of SCM for textile industry. An analysis is provided for SCM in connection to textile industry. Science Direct, ABI/INFORM Global, EBSCO Host, and Emerald scholarly databases are inspected for SCM studies. It is found that there is lack of agreement for a sole definition of SCM; moreover, textile industry is being neglected for investigation of SCM. However, categories of SCM are described in a descending order from most studied categories to least studied categories. There is a void of a sole definition for SCM; therefore, a comprehensive definition of SCM is suggested from pertinent literature. Moreover, research gaps are identified for future research of SCM particularly for textile industry.supply chain management, textile industry, categories of SCM

Review of Literature and Curricula in Smart Supply Chain & Transportation

This study provides a review of existing smart supply chain management (SCM) literature and current course offerings in order to identify unexplored implications of smart SCM. Specifically, the study focuses on curricula within the state of California to derive potential opportunities for the relevant practitioners in the Bay Area. In addition, the study further extends curriculum review to other well-recognized SCM programs around the U.S. By exploring current relevant course offerings from different academic institutions for higher education (i.e., universities), this research aims to deliver general ideas useful to knowledge practitioners in fields concerning SCM. Finally, the research illustrates a conceptual framework aimed at fostering familiarity with the necessary research topics for the evolving smart SCM

Severe malnutrition in children presenting to health facilities in an urban slum in Bangladesh

SETTING: An urban slum in Kamrangirchar, Bangladesh. OBJECTIVES: Among children aged 6–59 months seeking medical care from the two Médecins Sans Frontières-supported primary health centres, to determine 1) the prevalence of severe acute malnutrition (SAM) and severe chronic malnutrition (SCM), and 2) the extent of overlap between SAM and SCM. DESIGN: In a retrospective record review, data were analysed from out-patient registers on age, sex, height, weight and mid-upper arm circumference (MUAC) of children attending for medical care from April to September 2011. SAM was defined as weight for height < −3 Z scores of the median and/or MUAC <115 mm. SCM was defined as height for age < −3 Z scores of the median. World Health Organization growth standards were used as reference. RESULTS: Data were complete in the records of 7318 (98%) children, of whom 322 (4%) had SAM and 1698 (23%) had SCM. Among the 322 children with SAM, 162 (50%) also had SCM. CONCLUSION: In an urban Bangladesh slum, SAM and SCM co-exist, with a predominance of SCM. The current national guidelines for severe malnutrition, which focus on identification and management only for SAM, urgently need to be expanded to include SCM if substantial childhood morbidity and mortality are to be reduced

The Augmented Synthetic Control Method

The synthetic control method (SCM) is a popular approach for estimating the impact of a treatment on a single unit in panel data settings. The "synthetic control" is a weighted average of control units that balances the treated unit's pre-treatment outcomes as closely as possible. A critical feature of the original proposal is to use SCM only when the fit on pre-treatment outcomes is excellent. We propose Augmented SCM as an extension of SCM to settings where such pre-treatment fit is infeasible. Analogous to bias correction for inexact matching, Augmented SCM uses an outcome model to estimate the bias due to imperfect pre-treatment fit and then de-biases the original SCM estimate. Our main proposal, which uses ridge regression as the outcome model, directly controls pre-treatment fit while minimizing extrapolation from the convex hull. This estimator can also be expressed as a solution to a modified synthetic controls problem that allows negative weights on some donor units. We bound the estimation error of this approach under different data generating processes, including a linear factor model, and show how regularization helps to avoid over-fitting to noise. We demonstrate gains from Augmented SCM with extensive simulation studies and apply this framework to estimate the impact of the 2012 Kansas tax cuts on economic growth. We implement the proposed method in the new augsynth R package

Actionable Supply Chain Management Insights for 2016 and Beyond

The summit World Class Supply Chain 2016: Critical to Prosperity , contributed to addressing a need that the Supply Chain Management (SCM) field’s current discourse has deemed as critical: that need is for more academia-­‐industry collaboration to develop the field’s body of actionable knowledge. Held on May 4th, 2016 in Milton, Ontario, the summit addressed that need in a way that proved to be both effective and distinctive in the Canadian SCM environment. The summit, convened in partnership between Wilfrid Laurier University’s Lazaridis School of Business & Economics and CN Rail, focused on building actionable SCM knowledge to address three core questions: What are the most significant SCM issues to be confronted now and beyond 2016? What SCM practices are imperative now and beyond 2016? What are optimal ways of ensuring that (a) issues of interest to SCM practitioners inform the scholarly activities of research and teaching and (b) the knowledge generated from those scholarly activities reciprocally guide SCM practice? These are important questions for supply chain professionals in their efforts to make sense of today’s business environment that is appropriately viewed as volatile, uncertain, complex, and ambiguous. The structure of the deliberations to address these questions comprised two keynote presentations and three panel discussions, all of which were designed to leverage the collective wisdom that comes from genuine peer-­‐to-­‐peer dialogue between the SCM practitioners and SCM scholars. Specifically, the structure aimed for a balanced blend of industry and academic input and for coverage of the SCM issues of greatest interest to attendees (as determined through a pre-­‐summit survey of attendees). The structure produced impressively wide-­‐ranging deliberations on the aforementioned questions. The essence of the resulting findings from the summit can be distilled into three messages: Given today’s globally significant trends such as changes in population demographics, four highly impactful levers that SCM executives must expertly handle to attain excellence are: collaboration; information; technology; and talent Government policy, especially for infrastructure, is a significant determinant of SCM excellence There is tremendous potential for mutually beneficial industry-academia knowledge co-creation/sharing aimed at research and student training This white paper reports on those findings as well as on the summit’s success in realizing its vision of fostering mutually beneficial industry-academia dialogue. The paper also documents what emerged as matters that are inadequately understood and should therefore be targeted in the ongoing quest for deeper understanding of actionable SCM insights. Deliberations throughout the day on May 4th, 2016 and the encouraging results from the pre-­‐summit and post-­‐summit surveys have provided much inspiration to enthusiastically undertake that quest. The undertaking will be through initiatives that include future research projects as well as next year’s summit–World Class Supply Chain 2017

Comparison of stochastic parameterisation approaches in a single-column model

We discuss and test the potential usefulness of single-column models (SCMs) for the testing of stochastic physics schemes that have been proposed for use in general circulation models (GCMs). We argue that although single column tests cannot be definitive in exposing the full behaviour of a stochastic method in the full GCM, and although there are differences between SCM testing of deterministic and stochastic methods, SCM testing remains a useful tool. It is necessary to consider an ensemble of SCM runs produced by the stochastic method. These can be usefully compared to deterministic ensembles describing initial condition uncertainty and also to combinations of these (with structural model changes) into poor man's ensembles. The proposed methodology is demonstrated using an SCM experiment recently developed by the GCSS (GEWEX Cloud System Study) community, simulating transitions between active and suppressed periods of tropical convection

A Proposal for Supply Chain Management Research That Matters: Sixteen High Priority Research Projects for the Future

On May 4th, 2016 in Milton, Ontario, the World Class Supply Chain 2016 Summit was held in partnership between CN Rail and Wilfrid Laurier University’s Lazaridis School of Business & Economics to realize an ambitious goal: raise knowledge of contemporary supply chain management (SCM) issues through genuine peer-­‐to-­‐peer dialogue among practitioners and scholars. A principal element of that knowledge is an answer to the question: to gain valid and reliable insights for attaining SCM excellence, what issues must be researched further? This White Paper—which is the second of the summit’s two White Papers—addresses the question by proposing a research agenda comprising 16 research projects. This research agenda covers the following: The current state of research knowledge on issues that are of the highest priority to today’s SCM professionals Important gaps in current research knowledge and, consequently, the major questions that should be answered in sixteen future research projects aimed at addressing those gaps Ways in which the research projects can be incorporated into student training and be supported by Canada’s major research funding agencies That content comes from using the summit’s deliberations to guide systematic reviews of both the SCM research literature and Canadian institutional mechanisms that are geared towards building knowledge through research. The major conclusions from those reviews can be summarized as follows: While the research literature to date has yielded useful insights to inform the pursuit of SCM excellence, several research questions of immense practical importance remain unanswered or, at best, inadequately answered The body of research required to answer those questions will have to focus on what the summit’s first White Paper presented as four highly impactful levers that SCM executives must expertly handle to attain excellence: collaboration; information; technology; and talent The proposed research agenda can be pursued in ways that achieve the two inter-­‐related goals of creating new actionable knowledge and building the capacity of today’s students to become tomorrow’s practitioners and contributors to ongoing knowledge growth in the SCM field This White Paper’s details underlying these conclusions build on the information presented in the summit’s first White Paper. That is, while the first White Paper (White Paper 1) identified general SCM themes for which the research needs are most urgent, this White Paper goes further along the path of industry-academia knowledge co-creation. It does so by examining and articulating those needs against the backdrop of available research findings, translating the needs into specific research projects that should be pursued, and providing guidelines for how those projects can be carried out