The interplay of digital transformation, agility, environmental volatility, and innovation to spur enterprise performance: Evidence from Chinese electric vehicle firms

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity Pub Date : 2024-10-22 DOI:10.1016/j.joitmc.2024.100408

Boonsub Panichakarn , Jessada Pochan , Muhammad Shafiq , Irfan Saleem , YanQing Wang , Sonia Nazeer

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引用次数: 0

Abstract

Given the rapid growth of China's electric vehicle (EV) industry, with sales expected to reach over 10 million units annually by 2025, there is an urgent need to understand how digital logistics, supply chain agility, and innovation can drive sustainable performance amidst increasing environmental volatility. This study utilises the dynamic capability theory and proposes a framework that examines the interplay between digital transformation, agility, dual innovation, environmental volatility, and enterprise performance. A survey was circulated among the managers working in the EV industry. We received 197 responses. The data was analysed using Smart PLS software using structural equation modelling (SEM). The findings reveal that digital transformation has significant positive relationships with enterprise performance, agile capability, and innovation capability. Additionally, agile and innovation capabilities have positive effects on enterprise performance. The study recommends investment in digital transformation programs and fostering an agile, innovative culture in the EV industry.

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数字化转型、敏捷性、环境波动和创新的相互作用促进企业绩效：来自中国电动汽车企业的证据

鉴于中国电动汽车（EV）行业的快速增长，预计到 2025 年年销量将超过 1000 万辆，因此迫切需要了解数字物流、供应链敏捷性和创新如何在日益加剧的环境波动中推动可持续绩效。本研究利用动态能力理论，提出了一个研究数字化转型、敏捷性、双创新、环境波动和企业绩效之间相互作用的框架。我们向电动车行业的管理人员发放了一份调查问卷。我们收到了 197 份回复。我们使用 Smart PLS 软件，利用结构方程模型（SEM）对数据进行了分析。研究结果表明，数字化转型与企业绩效、敏捷能力和创新能力有显著的正相关关系。此外，敏捷能力和创新能力对企业绩效也有积极影响。研究建议在电动汽车行业投资数字化转型项目，并培养敏捷、创新的企业文化。

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 Open Innovation: Technology, Market, and Complexity Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)

CiteScore

11.00

自引率

0.00%

发文量

196

审稿时长

1 day