Concurrent enterprise: a conceptual framework for enterprise supply-chain network activities

Richard Addo-Tenkorang, Petri T. Helo, Jussi Kantola

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)474-511
Number of pages38
JournalEnterprise Information Systems
Issue number4
Publication statusPublished - 21 Apr 2017
Externally publishedYes


  • Concurrent enterprise (CE+)
  • enterprise information systems (EIS)
  • enterprise resource planning (ERP)
  • integrated product development (IPD)
  • new/complex product development (N/CPD)
  • supply-chain management (SCM)


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