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Entrepreneurial orientation, competitive advantage and strategic knowledge management capability in Malaysian family firms
Journal of Knowledge Management ( IF 8.689 ) Pub Date : 2021-08-09 , DOI: 10.1108/jkm-09-2020-0693
Md Imtiaz Mostafiz 1 , Mathew Hughes 2 , Murali Sambasivan 3
Affiliation  

Purpose

The purpose of this study is to test the thesis that the family firm’s success hinges on effective strategic knowledge management (SKM) capability coupled with an entrepreneurial orientation (EO). Contingency theory holds that entrepreneurial success is contingent on strategic capabilities and resource orchestration theory explains how well family firms nurture capabilities to structure, bundle and leverage resources that define competitive advantage (CA). This study combines these two theoretical viewpoints to propose the effects of EO and SKM capability on CA to achieve successful performance in family firms.

Design/methodology/approach

This study uses a hybrid approach applying structural equation modelling (SEM) and deep-learning artificial intelligence (DL-AI) analysis to survey data on 268 Malaysian family firms.

Findings

SEM results confirm that CA mediates the relationship between innovativeness, proactiveness and risk-taking dimensions of EO and firm performance. Autonomy and competitive aggressiveness have no bearing, however. The relationships among innovativeness, proactiveness and risk-taking with CA and performance are positively moderated by SKM capability, becoming more potent at higher levels. Moreover, four additional DL-AI models reveal the necessity of specific EO dimensions and the interacting effects of EO–SKM capability to influence CA and to attain performance success subsequently.

Originality/value

This study theorizes and presents two new boundary conditions to a knowledge-based theory of the family firm and its firm performance. First, CA mediates the relationship between EO and performance; and second, SKM capability moderates the relationships between EO and CA and between EO and family firm performance. Methodologically, this study uses DL-AI to embrace non-linearity and prioritize predictor variables based on normalized importance to produce greater accuracy over regression analysis. Hence, DL-AI adds methodological novelty to the knowledge management and family firm literature.



中文翻译:

马来西亚家族企业的创业导向、竞争优势和战略知识管理能力

目的

本研究的目的是检验家族企业的成功取决于有效的战略知识管理 (SKM) 能力以及创业导向 (EO) 的论点。权变理论认为,创业成功取决于战略能力,资源协调理论解释了家族企业如何培养能力来构建、捆绑和利用定义竞争优势 (CA) 的资源。本研究结合这两种理论观点,提出了 EO 和 SKM 能力对 CA 的影响,以实现家族企业的成功绩效。

设计/方法/方法

本研究采用混合方法,应用结构方程模型 (SEM) 和深度学习人工智能 (DL-AI) 分析来调查 268 家马来西亚家族企业的数据。

发现

SEM 结果证实 CA 在 EO 的创新性、主动性和风险承担维度与公司绩效之间的关系中起中介作用。然而,自主性和竞争进取性无关紧要。创新性、主动性和冒险与 CA 和绩效之间的关系受到 SKM 能力的正向调节,在更高的水平上变得更加有效。此外,四个额外的 DL-AI 模型揭示了特定 EO 维度的必要性以及 EO-SKM 能力的相互作用影响 CA 并随后获得性能成功。

原创性/价值

本研究对基于知识的家族企业及其企业绩效理论提出了两个新的边界条件。首先,CA调解EO与绩效之间的关系;其次,SKM 能力调节 EO 与 CA 以及 EO 与家族企业绩效之间的关系。在方法论上,本研究使用 DL-AI 来包含非线性并根据归一化重要性对预测变量进行优先级排序,以产生比回归分析更高的准确性。因此,DL-AI 为知识管理和家族企业文献增加了方法论上的新颖性。

更新日期:2021-08-09
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