Performance Assessment of R&D-Intensive Manufacturing Companies on Dynamic Capabilities

In today's business landscape, improving competitive advantage of manufacturing companies depends on their continuous performance improvement. This necessitates a generic and multi-dimensional view that organisational and managerial processes should be assessed by the underlying micro-foundatio...

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Bibliographic Details
Published inInternational journal of strategic decision sciences Vol. 11; no. 4; pp. 1 - 23
Main Authors Darvizeh, Mohammadyasser, Yang, Jian-Bo, Eldridge, Stephen
Format Journal Article
LanguageEnglish
Published Hershey IGI Global 01.10.2020
Subjects
Automobile industry
Business competition
Decision analysis
Decision making
Evidential reasoning
Managers
Manufacturing
Multiple criterion
Performance assessment
Product development
Reconfiguration
Self assessment
Software
Transportation equipment industry
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Summary:In today's business landscape, improving competitive advantage of manufacturing companies depends on their continuous performance improvement. This necessitates a generic and multi-dimensional view that organisational and managerial processes should be assessed by the underlying micro-foundation of dynamic capabilities (DC) in conjunction with enhanced new product development (NPD) projects. This study aims to propose an operationalised model of the conceptual DC framework including sensing, seizing, and reconfiguration capacities. The advantage of the two aforementioned models, which are based on a multi-criteria decision analysis (MCDA) framework, is that they can assist managers in the automotive industry to identify improvement plans and goals for sound and robust decision making. For this purpose, the evidential reasoning (ER) approach, which is realised in the intelligent decision system (IDS) software tool, is employed to perform performance self-assessment for the selected manufacturing companies on DC. This study provides managers with a useful tool to assess their company's strengths and weaknesses in regard to the DC components.
ISSN:1947-8569
1947-8577
DOI:10.4018/IJSDS.2020100101