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The growth of knowledge through the resource-based view
Management Decision ( IF 5.589 ) Pub Date : 2020-01-13 , DOI: 10.1108/md-11-2016-0798
Hiroko Nagano

The resource-based view (RBV) has not previously been conceptualized as a theoretical framework encompassing metaphysical and empirical perspectives. The purpose of this paper is to logically analyze the evolutionary process of the RBV, triggered by “rigidity.” It attempts to clarify the significance and limitations of the RBV.,Based on Popper’s methodological model of the growth of knowledge, the study analyzed and evaluated the evolution of the RBV.,The RBV has evolved in three phases. The sub-problems have changed through empirical testing on the basis of one metaphysical problem and one metaphysical theory. Thus, the evolution may indicate progress within one framework. However, during phase 3, the ambiguity of concept may inhibit the growth of knowledge. For further progress, it is necessary to overcome the vulnerability of the RBV’s metaphysical statements.,This paper shows the possibility of the growth of knowledge within the RBV framework and for a new framework to emerge due to its limitations. It should contribute both theoretically and practically to the field of strategic management.,Popper’s model was used to examine a previously neglected topic, namely, the growth of knowledge in the evolution of the RBV. Moreover, considering “rigidity” as corresponding to a process of error elimination is a novel approach, clearly revealing the dynamism of the RBV’s evolution.

中文翻译:

通过基于资源的观点来增长知识

基于资源的视图(RBV)以前尚未被概念化为包含形而上和经验观点的理论框架。本文的目的是从逻辑上分析“刚性”触发的RBV的演化过程。它试图阐明RBV的意义和局限性。基于波普尔知识增长的方法模型,本研究对RBV的发展进行了分析和评价。RBV的发展分为三个阶段。在一个形而上学问题和一个形而上学理论的基础上,通过实证检验,子问题已经改变。因此,演变可能表明一个框架内的进展。但是,在第3阶段中,概念的歧义可能会抑制知识的增长。为了取得进一步的进展,有必要克服RBV形而上学陈述的脆弱性。本文显示了RBV框架内知识增长的可能性,以及由于其局限性而出现的新框架。它应在理论和实践上为战略管理领域做出贡献。Popper模型被用来检验以前被忽略的话题,即RBV演进中的知识增长。此外,将“刚性”视为消除错误的过程是一种新颖的方法,清楚地揭示了RBV演进的活力。波普尔的模型用于检验以前被忽略的话题,即RBV演进中知识的增长。此外,将“刚性”视为消除错误的过程是一种新颖的方法,清楚地揭示了RBV演进的活力。波普尔的模型用于检验以前被忽略的话题,即RBV演进中知识的增长。此外,将“刚性”视为消除错误的过程是一种新颖的方法,清楚地揭示了RBV演变的活力。
更新日期:2020-01-13
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