Concurrent enterprise: a conceptual framework for enterprise supply-chain network activities
Article
Addo-Tenkorang, R., Helo, P. T. and Kantola, J. 2017. Concurrent enterprise: a conceptual framework for enterprise supply-chain network activities. Enterprise Information Systems. 11 (4), pp. 474-511. https://doi.org/10.1080/17517575.2016.1212274
Authors | Addo-Tenkorang, R., Helo, P. T. and Kantola, J. |
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Abstract | Supply-chain management (SCM) in manufacturing industries has evolved significantly over the years. Recently, a lot more relevant research has picked up on the development of integrated solutions. Thus, seeking a collaborative optimisation of geographical, just-in-time (JIT), quality (customer demand/satisfaction) and return-on-investment (profits), aspects of organisational management and planning through ‘best practice’ business-process management – concepts and application; employing system tools such as certain applications/aspects of enterprise resource planning (ERP) – SCM systems information technology (IT) enablers to enhance enterprise integrated product development/concurrent engineering principles. This article assumed three main organisation theory applications in positioning its assumptions. Thus, proposing a feasible industry-specific framework not currently included within the SCOR model’s level four (4) implementation level, as well as other existing SCM integration reference models such as in the MIT process handbook’s – Process Interchange Format (PIF), the TOVE project, etc. which could also be replicated in other SCs. However, the wider focus of this paper’s contribution will be concentrated on a complimentary proposed framework to the SCC’s SCOR reference model. Quantitative empirical closed-ended questionnaires in addition to the main data collected from a qualitative empirical real-life industrial-based pilot case study were used: To propose a conceptual concurrent enterprise framework for SCM network activities. This research adopts a design structure matrix simulation approach analysis to propose an optimal enterprise SCM-networked value-adding, customised master data-management platform/portal for efficient SCM network information exchange and an effective supply-chain (SC) network systems–design teams’ structure. Furthermore, social network theory analysis will be employed in a triangulation approach with statistical correlation analysis to assess the scale/level of frequency, importance, level of collaborative-ness, mutual trust as well as roles and responsibility among the enterprise SCM network for systems product development (PD) design teams’ technical communication network as well as extensive literature reviews. |
Journal | Enterprise Information Systems |
Journal citation | 11 (4), pp. 474-511 |
ISSN | 1751-7575 |
Year | 2017 |
Publisher | Taylor & Francis |
Digital Object Identifier (DOI) | https://doi.org/10.1080/17517575.2016.1212274 |
Publication dates | |
Online | 26 Jul 2016 |
Publication process dates | |
Accepted | 09 Jul 2016 |
Deposited | 12 Dec 2022 |
Copyright holder | © 2017 Taylor & Francis |
https://repository.uel.ac.uk/item/8v601
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