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Title: A structure and process theory of network orchestration
Author: Shaw, Duncan R.
ISNI:       0000 0004 2673 554X
Awarding Body: University of Manchester
Current Institution: University of Manchester
Date of Award: 2009
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The ability to organise at the level of the network is currently leading to single firms that greatly influence and organise the activities of the other firms in the network. These firms are commonly referred to as network 'orchestrators'. However, 'orchestration' is just one of a number of terms for this new phenomenon and it is not theoretically modelled or even well defined. Many customers, managers and staff rely on the sound organisation of orchestrated networks and a lack of a theoretical understanding of how they work, and how to organise such work, presents a risk to the stakeholders and the resources involved. In this thesis I develop a theoretical model of network orchestration that will be helpful both for researchers of the subject and for managers of orchestrators. I use a Grounded Theory-like method in an exploratory case study approach to investigate a network orchestrated by 'Career Net'. This is a network of organisations that produce Information, Advice and Guidance services for job seekers. The contribution of the research for researchers is a first formal definition of network orchestration which includes a focus on increasing option quality for members of the network. I also develop a model which contributes to the Network Orchestration literature by theoretically clarifying the concept of complexity by using the concept of simultaneous individual perspective to remove emergence from the modelling process. The model unifies the structural and processual perspectives of orchestration phenomena, links asset use and value production by orchestrators and provides a theoretical description of the causal mechanisms of network orchestration and value creation systems. The model also attends to some gaps in the Value Creation Systems literature and other literatures. The contribution of the research for managers of network orchestrators is that the model can be used to design and create orchestrated networks and organise very large collections of organisations and resources to produce customised services for specific external customers. This combines very large scale uses of resources with very small scale uses and gives managers improved access to non-human scale phenomena for use in producing their products and services.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available