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Supply chain (logistics) environmental complexity

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The spatial scope of organisations has recently been reemphasised in the context of supplychains and supply chain management. This scope is usually accompanied by uncertainty toorganisations, especially for the extended supply chain with geographically dispersedoperations and activities, thus posing environmental complexity in the form of risks and coststhat organisations need to contend with. The main purpose of this dissertation is to create adeep understanding of this environmental complexity facing the extended supply chain, andthe main research objective is to develop a construct, consisting of factors and measures, thatcan aid in describing its state in the context of logistics.Overall, the dissertation assumes an international business (IB) standpoint in undertaking thistask whereby it is argued that countries and borders matter, and that differences betweencountry environments lead to environmental complexity in the geographically dispersedsupply chain. Country-oriented constraints may then exist at macro-economic level, or themicro-/meso- e.g. firm, network and industry levels of the business environment. In thisdissertation, supply chain (logistics) environmental complexity is developed andoperationalised in terms of the range and heterogeneity of country-oriented macro- logisticsfactors that need to be considered in extended, cross-border, or global supply chain (logistics)operations. The remainder of this dissertation is thereafter dedicated to finding these factors,and their respective information measures, by the application of a decision-making approach.A decision factor is one that influences the decision on selection with regards toenvironmental complexity, and an information measure is a unit of measurement that aidsdecision-making by providing some information on the factor.The findings of this dissertation are based upon multiple literature reviews, content analysesand expert opinions, and suggest the importance of 17 such decision factors and 187 differenttypes of information measures, which describe the state of environmental complexity inextended, cross-border, or global supply chain operations. The study is particularly relevantfrom the perspective of strategy and design issues in global supply chain management,international operations management and international business, and more specifically forenvironmental scanning and decision-making applications such as site location and transportmode selection. By applying the results of this dissertation decision-makers may, forexample, get a preliminary idea of the environmental complexity surrounding their extendedsupply chains.

Resource author

Aseem Kinra

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Resource language

eng

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application/pdf

Resource resource URL

http://hdl.handle.net/10398/7823

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