Unraveling the transformation: the three-wave time-lagged study on big data analytics, green innovation and their impact on economic and environmental performance in manufacturing SMEs

IF 5 3区管理学 Q1 BUSINESS European Journal of Innovation Management Pub Date : 2024-02-12 DOI:10.1108/ejim-10-2023-0903

Khalid Mehmood, Fauzia Jabeen, Md Rashid, Safiya Mukhtar Alshibani, Alessandro Lanteri, Gabriele Santoro

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Abstract

Purpose

The firms’ adoption and improvement of big data analytics capabilities to improve economic and environmental performance have recently increased. This makes it important to discover the underlying mechanism influencing the association between big data analytics (BDA) and economic and environmental performance, which is missing in the existing literature. The present study discovers the indirect effect of green innovation (GI) and the moderating role of corporate green image (CgI) on the impact of BDA capabilities, including big data management capability (MC) and big data talent capability (TC), on economic and environmental performance.

Design/methodology/approach

A time-lagged design was employed to collect data from 417 manufacturing firms, and study hypotheses were evaluated using Mplus.

Findings

The empirical outcomes indicate that both BDA capabilities of firms significantly influence green innovation (GI), which significantly mediates the relationship between BDA and economic and environmental performance. Our findings also revealed that CgI strengthened the effect of GI on economic and environmental performance. The empirical evidence provides important theoretical and practical repercussions for manufacturing SMEs and policymakers.

Originality/value

This study contributes to the literature on BDA by empirically exploring the effects of MC and TC on improving the EcP and EnP of manufacturing firms. It does so through the indirect impact of GIs and the moderating effect of CgI, thereby extending the Dynamic capabilities view (DCV) paradigm.

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解读转型：关于制造业中小企业大数据分析、绿色创新及其对经济和环境绩效影响的三波时滞研究

目的最近，企业越来越多地采用和提高大数据分析能力来改善经济和环境绩效。因此，发现影响大数据分析（BDA）与经济和环境绩效之间关联的内在机制非常重要，而这正是现有文献所缺乏的。本研究发现了绿色创新（GI）的间接效应和企业绿色形象（CgI）对大数据分析能力（包括大数据管理能力（MC）和大数据人才能力（TC））对经济和环境绩效影响的调节作用。研究结果实证结果表明，企业的 BDA 能力显著影响绿色创新（GI），而绿色创新显著介导了 BDA 与经济和环境绩效之间的关系。我们的研究结果还表明，绿色创新加强了绿色创新对经济和环境绩效的影响。该实证证据为制造业中小企业和政策制定者提供了重要的理论和实践启示。原创性/价值本研究通过实证探索 MC 和 TC 对改善制造业企业生态绩效和环境绩效的影响，为有关 BDA 的文献做出了贡献。它通过 GIs 的间接影响和 CgI 的调节作用来实现这一目的，从而扩展了动态能力观 (DCV) 范式。

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

European Journal of Innovation Management Multiple-

CiteScore

10.40

自引率

17.60%

发文量

107

期刊介绍： The subject of innovation is receiving increased interest both from companies because of their increased awareness of the impact of innovation in determining market success and also from the research community. Academics are increasingly beginning to place innovation as a priority area in their research agenda. This impetus has been partly fuelled by the Economic & Social Research Council (ESRC) who have designated innovation as one of nine research areas in their research initiative schemes.