纺织企业数字技术采用对数字化创新绩效的影响——基于结构方程模型分析

The Impact of Digital Technology Adoption on Digital Innovation Performance in Textile Firms—Based on Structural Equation Modeling Analysis

摘要: 当前，随着全球化的推进和市场竞争的加剧，传统的纺织企业面临着日益严峻的挑战，传统的生产模式和管理方式已经不能满足市场的需求和消费者的个性化要求。随着科技的迅猛发展，数字技术如人工智能、大数据分析、物联网等正深刻地影响着纺织企业，数字化创新为纺织企业带来了巨大的机遇。本文构建了数字技术采用在数字动态能力的影响下对数字化创新绩效的效用的理论模型，其后基于对纺织企业的问卷调研开展实证分析，通过偏最小二乘法结构方程模型(PLS-SEM)验证研究假设。研究发现，纺织企业数字技术采用对数字化创新绩效具有显著正向作用，数字动态能力在其中发挥中介作用。本研究将为纺织企业在数字化时代提升数字化创新绩效提供有益指导。

Abstract: At present, with the advancement of globalization and the intensification of market competition, traditional textile enterprises are facing increasingly severe challenges, and the traditional production model and management methods can no longer meet the market demand and the personalized requirements of consumers. With the rapid development of science and technology, digital technologies such as artificial intelligence, big data analytics, and the Internet of Things are profoundly affecting textile companies, and digital innovation has brought great opportunities for textile companies. This study constructs a theoretical model of the utility of digital technology adoption on digital innovation performance under the influence of digital dynamic capabilities, followed by an empirical analysis based on a questionnaire survey of textile enterprises, and validates the research hypotheses through partial least squares structural equation modeling (PLS-SEM). The study found that digital technology adoption in textile firms has a significant positive effect on digital innovation performance and that digital dynamic capabilities play a mediating role. This study will provide useful guidance for textile enterprises to enhance digital innovation performance in the digital era.