Purpose

The purpose of this paper is to identify the dynamic capabilities (DCs) affecting the business models (BMs) in knowledge-intensive firms (KIFs). This paper also examines how much these DCs affect the BMs.

Design/methodology/approach

The research methodology included examining a research framework based on a literature review followed by a survey of KIFs. A sample of 214 KIFs was obtained and structured equation modeling analysis using two-stage partial least squares–artificial neural network approach was conducted to test the proposed hypotheses.

Findings

This study shows that managerial, innovation, intellectual capital, information technology, integration and knowledge-based DCs influence the BM in KIFs. The results indicate that “the human development” aspect of managerial DC has the most significant impact on the BM efficiency, and innovation DC has the greatest influence on BM innovation.

Practical implications

Identifying DCs affecting the BM in KIFs provides practical results for managers and researchers in KIFs.

Originality/value

The present research uses for the first time a PLS–ANN approach in identifying the affecting DCs the BM in KIFs; examines its impact on the efficiency and innovation aspects of the BM; and enriches the literature on DCs and the BM, especially in the field of KIF.

中文翻译：

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动态能力对知识密集型企业商业模式的作用

目的

本文的目的是确定影响知识密集型企业 (KIF) 商业模式 (BM) 的动态能力 (DC)。本文还研究了这些 DC 对 BM 的影响程度。

设计/方法/方法

研究方法包括检查基于文献综述的研究框架，然后是对 KIF 的调查。获得了 214 个 KIF 的样本，并使用两阶段偏最小二乘法 - 人工神经网络方法进行了结构化方程建模分析，以测试提出的假设。

发现

本研究表明，管理、创新、智力资本、信息技术、集成和知识型 DC 影响 KIF 中的 BM。结果表明，管理DC的“人的发展”方面对BM效率的影响最显着，创新DC对BM创新的影响最大。

实际影响

识别影响 KIF 中 BM 的 DC 可为 KIF 中的管理人员和研究人员提供实际结果。

原创性/价值

本研究首次使用 PLS-ANN 方法来识别 KIF 中影响 DC 的 BM；检查其对 BM 的效率和创新方面的影响；并丰富了关于 DCs 和 BM 的文献，特别是在 KIF 领域。