Multi-path adjustment in digital transformation and enhancement of enterprise competitiveness

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge Pub Date : 2025-05-28 DOI:10.1016/j.jik.2025.100735

Hanwei Li, Yang Yu, Fang Liu, Bing Zhou

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引用次数: 0

Abstract

Against the macro background of the digital economy reshaping global value chains, this study empirically examines Chinese A-share listed companies as research samples and finds that digital transformation can significantly enhance enterprise competitiveness. This conclusion remains robust in robustness checks such as Propensity Score Matching (PSM) and instrumental variable methods. Furthermore, four digital transformation pathways are proposed: cultural leadership (CLP), talent development (TDP), capital-driven transformation (CDP), and process optimization (POP). Innovatively adopting Agent-Based Modeling and Simulation (ABMS), a complex adaptive system comprising 200 agents is constructed. Simulation results indicate that the combination of TDP and CDP performs best among all individual and two-policy combinations. In addition, the combination of CLP and CDP exhibits a high effect on enhancing enterprise competitiveness with relatively low-efficiency loss, making it another preferable policy combination for enterprises. This study provides new theoretical paradigms and practical pathways for enterprises to advance digital transformation, offering significant insights into building competitive advantages in the digital economy era.

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数字化转型多路径调整，提升企业竞争力

在数字经济重塑全球价值链的宏观背景下，本研究以中国a股上市公司为研究样本进行实证研究，发现数字化转型能够显著提升企业竞争力。这一结论仍然稳健性检查，如倾向得分匹配（PSM）和工具变量方法。此外，本文还提出了四种数字化转型路径：文化领导（CLP）、人才发展（TDP）、资本驱动转型（CDP）和流程优化（POP）。创新地采用基于agent的建模与仿真（ABMS）技术，构建了一个包含200个agent的复杂自适应系统。仿真结果表明，TDP和CDP组合在所有个体和双策略组合中表现最好。此外，CLP与CDP的结合在提升企业竞争力方面效果显著，效率损失相对较低，是企业更青睐的政策组合。本研究为企业推进数字化转型提供了新的理论范式和实践路径，为构建数字经济时代的竞争优势提供了重要见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Innovation & Knowledge Multiple-

CiteScore

16.10

自引率

12.70%

发文量

118

审稿时长

37 days

期刊介绍： The Journal of Innovation and Knowledge (JIK) explores how innovation drives knowledge creation and vice versa, emphasizing that not all innovation leads to knowledge, but enduring innovation across diverse fields fosters theory and knowledge. JIK invites papers on innovations enhancing or generating knowledge, covering innovation processes, structures, outcomes, and behaviors at various levels. Articles in JIK examine knowledge-related changes promoting innovation for societal best practices. JIK serves as a platform for high-quality studies undergoing double-blind peer review, ensuring global dissemination to scholars, practitioners, and policymakers who recognize innovation and knowledge as economic drivers. It publishes theoretical articles, empirical studies, case studies, reviews, and other content, addressing current trends and emerging topics in innovation and knowledge. The journal welcomes suggestions for special issues and encourages articles to showcase contextual differences and lessons for a broad audience. In essence, JIK is an interdisciplinary journal dedicated to advancing theoretical and practical innovations and knowledge across multiple fields, including Economics, Business and Management, Engineering, Science, and Education.