知识管理
计算机科学
独创性
结构方程建模
样品(材料)
领域(数学)
人工神经网络
动态能力
业务
人工智能
机器学习
定性研究
社会学
数学
化学
色谱法
纯数学
社会科学
作者
Ali Bonyadi Naeini,Seyedeh Hoda Jalilian Ahmadkalaei
出处
期刊:Kybernetes
[Emerald (MCB UP)]
日期:2021-08-15
卷期号:51 (12): 3449-3469
被引量:2
标识
DOI:10.1108/k-02-2021-0162
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI