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Download the book of abstracts - EurOMA 2011

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Global supply chain networks<br />

58<br />

GSCN7 Advances in augmented reality for operating global manufacturing value chains<br />

Wasim A. Khan, Amir Hussain<br />

Institute <strong>of</strong> Business Administration, Karachi, Pakistan<br />

Michael Porter’s [1985] Value chain encompasses all activities <strong>of</strong> <strong>the</strong> chain through which <strong>the</strong> product gains some value.<br />

Production value chains are consist <strong>of</strong> tangible and intangible activities required to produce and market a product.<br />

These value chains utilize flow <strong>of</strong> material, flow <strong>of</strong> energy and flow <strong>of</strong> information linked with <strong>the</strong> particular value chain.<br />

Automation based on augmented reality provides micro to macro level control over <strong>the</strong>se value chains and a manager<br />

has higher level <strong>of</strong> control <strong>of</strong> <strong>the</strong> decision parameters. This paper demonstrate use <strong>of</strong> augmented reality complementing<br />

decision making processes in operating global value chains.<br />

GSCN8 Governance and transformation <strong>of</strong> clusters: <strong>the</strong>oretical models and <strong>the</strong> case <strong>of</strong><br />

<strong>the</strong> maritime cluster in mid-west Norway<br />

Lise Lillebrygfjeld Halse<br />

Molde University College, Molde, Norway<br />

Building on a global supply chain perspective <strong>the</strong> paper seeks to develop a conceptual model which describes and<br />

explains <strong>the</strong> transformation <strong>of</strong> industrial clusters over time under <strong>the</strong> duress <strong>of</strong> globalization with particular emphasis<br />

on changing governance dynamics. The model incorporates <strong>the</strong> cluster ‘macroculture’ which links <strong>the</strong> macro and<br />

transaction levels in <strong>the</strong> cluster, in order to explain cluster changes and transformations. The maritime cluster in Mid-<br />

West Norway is used to demonstrate <strong>the</strong> applicability <strong>of</strong> <strong>the</strong> model.<br />

GSCN9 Managing global manufacturing networks: Uncovered plant roles <strong>of</strong> global<br />

manufacturing companies<br />

Marja Blomqvist, Virpi Turkulainen<br />

Aalto University, Espoo, Finland<br />

Our aim is to increase <strong>the</strong> understanding about plant roles in global manufacturing networks. The paper builds on two<br />

established plant role frameworks: Ferdows (1989, 1997) and Johansen and Riis (2005, 2007). The paper engages in<br />

assessing <strong>of</strong> <strong>the</strong>se frameworks as well as in elaborating <strong>the</strong>m with case studies <strong>of</strong> four global manufacturing networks.<br />

Our analysis indicates that <strong>the</strong> previous frameworks are partly overlapping but complementary. Fur<strong>the</strong>rmore, our<br />

findings indicate that <strong>the</strong> plants may have several strategic reasons for <strong>the</strong>ir location thus implicating a need to revise <strong>the</strong><br />

frameworks. We also suggest three new roles.

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