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Application of DEMATEL, ISM, and ANP for key success factor (KSF) complexity analysis in RD alliance

机译:DEMATEL,ISM和ANP在RD联盟的关键成功因素(KSF)复杂性分析中的应用

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SMEs did not have enough ability to invest in development of new products and entering of new markets. Therefore, they try to achieve something through R&D Alliances, such as unique technology, resources, power of synergy, and the ability to reduce the gap between market leaders. However, the scope and characteristics of R&D alliance result in management complexity and difficulty that are higher than business management. The relevant researches in the past only use the fragment analysis, no systematic methods and systems thinking perspective to think about the complexity of R&D Alliance issues. Therefore, this study try to build a composite methodology that can completely reveal the complex causal relationship between the key success factors (KSF) in R&D alliance. This study aims to discuss the complexity of the KSFs in R&D alliance, using the system theory to integratedecision making trial and evaluation laboratory (DEMATEL),interpretative structural modelling (ISM)andanalytical network process(ANP) into a composite methodology. Between the KSFs, it reveals the strength and direction of interaction, hierarchy structure, degree of relative importance, and the causal loop map enhancement that is beneficial to help managers use systems thinking for complex issues.
机译:中小企业没有足够的能力来投资开发新产品和进入新市场。因此,他们试图通过研发联盟来实现某些目标,例如独特的技术,资源,协同作用以及缩小市场领导者之间差距的能力。然而,研发联盟的范围和特征导致管理复杂性和难度高于业务管理。过去的相关研究仅使用碎片分析,没有系统的方法和系统的思维角度来思考研发联盟问题的复杂性。因此,本研究试图建立一种能够全面揭示研发联盟关键成功因素(KSF)之间复杂因果关系的综合方法。这项研究旨在探讨将研发联盟中的KSF的复杂性,使用系统理论将综合决策试验和评估实验室(DEMATEL),解释性结构建模(ISM)和分析网络过程(ANP)集成为一种综合方法。在KSF之间,它揭示了交互的强度和方向,层次结构,相对重要性的程度以及因果循环图的增强,这有利于帮助管理人员将系统思维用于复杂问题。

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