The Impact of Digital Leadership on Performance: Examining the Roles of Big Data Analytical Capabilities, Green Innovation, and AI Change Readiness in Italian SMEs

IF 12.5 1区管理学 Q1 BUSINESS

Business Strategy and The Environment Pub Date : 2025-05-05 DOI:10.1002/bse.4322

Junaid Aftab, Maria Rucsandra Stan, Mohit Srivastava, Feng Wei, Nabila Abid

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Abstract

In today's rapidly transforming world, a leader's digital capabilities have become crucial for firms to achieve better performance. This study examines the influence of digital leadership (DL) capabilities on performance (both economic and environmental) with the inclusion of multiple mediators and a moderator. Specifically, three interesting but complex relationships are examined: (1) the mediation of big data analytical capabilities (BDAC) between DL capabilities and green innovation (GI), (2) the indirect effect of GI between BDAC and performance, and (3) the moderating effect of artificial intelligence (AI) change readiness on the relationship between DL capabilities and BDAC. These relationships are tested with time‐lagged data from 221 small‐ and medium‐sized enterprises (SMEs). Structural equation modeling results demonstrate that BDAC significantly mediates the relationship between DL capabilities and GI. Additionally, GI significantly mediates BDAC's effect on both economic and environmental performance. Finally, AI change readiness significantly strengthens the ties between DL capabilities and BDAC. The findings extend the leadership, AI, big data, and GI literature and highlight how their interplay can be beneficial for achieving better environmental and economic performance in the digital era.

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数字化领导对绩效的影响：考察意大利中小企业大数据分析能力、绿色创新和人工智能变革准备的作用

在当今瞬息万变的世界里，领导者的数字化能力对公司取得更好的业绩至关重要。本研究考察了数字化领导（DL）能力对绩效（经济和环境）的影响，包括多个中介和一个调节因子。具体而言，本文研究了三个有趣但复杂的关系：(1)大数据分析能力（BDAC）在深度学习能力和绿色创新（GI）之间的中介作用，(2)GI在BDAC和绩效之间的间接影响，以及(3)人工智能（AI）变革准备对深度学习能力和BDAC之间关系的调节作用。这些关系用来自221家中小型企业（SMEs）的时间滞后数据进行了检验。结构方程建模结果表明，BDAC在深度学习能力和GI之间具有显著的中介作用。此外，GI显著调节BDAC对经济和环境绩效的影响。最后，人工智能变革准备显著加强了深度学习能力和BDAC之间的联系。研究结果扩展了领导力、人工智能、大数据和地理特征文献，并强调了它们之间的相互作用如何有助于在数字时代实现更好的环境和经济绩效。

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

Business Strategy and The Environment Multiple-

CiteScore

22.50

自引率

19.40%

发文量

336

期刊介绍： Business Strategy and the Environment (BSE) is a leading academic journal focused on business strategies for improving the natural environment. It publishes peer-reviewed research on various topics such as systems and standards, environmental performance, disclosure, eco-innovation, corporate environmental management tools, organizations and management, supply chains, circular economy, governance, green finance, industry sectors, and responses to climate change and other contemporary environmental issues. The journal aims to provide original contributions that enhance the understanding of sustainability in business. Its target audience includes academics, practitioners, business managers, and consultants. However, BSE does not accept papers on corporate social responsibility (CSR), as this topic is covered by its sibling journal Corporate Social Responsibility and Environmental Management. The journal is indexed in several databases and collections such as ABI/INFORM Collection, Agricultural & Environmental Science Database, BIOBASE, Emerald Management Reviews, GeoArchive, Environment Index, GEOBASE, INSPEC, Technology Collection, and Web of Science.