可持续环境绩效:跨国模糊集定性比较分析 大数据分析与环境因素的实证研究

IF 9.7 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Journal of Cleaner Production Pub Date : 2024-10-28 DOI:10.1016/j.jclepro.2024.144040
Adilson Carlos Yoshikuni, Rajeev Dwivedi, Marco Quadros Lopes dos Santos, Feng Liu, Miguel Mitio Yoshikun
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引用次数: 0

摘要

大数据分析技术的兴起对于帮助面临可持续发展挑战的企业至关重要,这促使研究人员和从业人员探索在特定情况下该技术如何促进环境可持续发展绩效。本研究以基于资源的动态能力观理论为视角,采用偏最小二乘法结构方程模型和定性比较分析方法,探讨在企业因素和条件组合下,大数据分析驱动的动态能力创新对环境绩效的贡献。实证研究收集了 319 家印度和美国企业的数据。研究结果表明,印度和美国企业在充满活力和敌意的不确定环境中,大数据分析驱动的动态能力在感知、把握和转型方面的核心存在,有七种解决方案具有非常高的环境绩效。与印度企业相比,大数据分析驱动的感知、捕捉和转换动态能力的协同作用在提高美国企业的可持续环境绩效方面发挥了至关重要的作用。根据配置分析,大数据分析极大地缓解了企业遇到的环境动态性和敌对性挑战。因此,通过彻底的流程创新,大数据分析对绿色绩效产生了更明显的影响,尤其是在美国的服务业和小型企业中。相反,这种影响主要是通过渐进式创新战略在印度的大型产品企业中观察到的。这表明,这种新兴技术对于发展中国家和发达经济体通过特定配置条件实现循环经济的必要方面至关重要。
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Sustainable Environmental Performance: A Cross-Country Fuzzy Set Qualitative Comparative Analysis Empirical Study of Big Data Analytics and Contextual Factors
The rise of big data analytics has become crucial in aiding firms facing sustainability challenges, prompting researchers and practitioners to explore how this technology can contribute to environmental sustainability performance under specific circumstances. Based on the resource-based and dynamic capabilities view theory lens, it uses partial least square structural equation modeling and qualitative comparative analysis to explore the contribution of big data analytics-driven dynamic capabilities in innovation on environmental performance under enterprise factors and combinations of conditions. The empirical study gathered data from 319 Indian and American enterprises. The results demonstrate seven solutions with very high environmental performance, depicting core presence for big data analytics-driven dynamic capabilities in sensing, seizing, and transforming in an uncertain environment of dynamism and hostility in India and American firms. The synergy of big data analytics-enabled dynamic capabilities in sensing, seizing, and transforming shows an essential role in enhancing sustainable environmental performance for enterprises in the USA compared to those in India. Based on the configuration analyses, big data analytics significantly mitigates environmental dynamism and hostility challenges enterprises encounter. It consequently exerts a more pronounced influence on green performance, particularly within the service sector and small enterprises in the USA, through radical process innovation. Conversely, this impact is observed primarily among large product firms in India by incremental innovation strategies. This indicates that this emerging technology is essential to attend to the necessary aspects of the circular economy in developing and developed economies through specific configuration conditions.
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来源期刊
Journal of Cleaner Production
Journal of Cleaner Production 环境科学-工程:环境
CiteScore
20.40
自引率
9.00%
发文量
4720
审稿时长
111 days
期刊介绍: The Journal of Cleaner Production is an international, transdisciplinary journal that addresses and discusses theoretical and practical Cleaner Production, Environmental, and Sustainability issues. It aims to help societies become more sustainable by focusing on the concept of 'Cleaner Production', which aims at preventing waste production and increasing efficiencies in energy, water, resources, and human capital use. The journal serves as a platform for corporations, governments, education institutions, regions, and societies to engage in discussions and research related to Cleaner Production, environmental, and sustainability practices.
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