Unveiling synergies: Business intelligence nexus with environmental and financial performance in Bangladeshi manufacturing firms

IF 4.8 Q1 BUSINESS
Md. Mominur Rahman, Munshi Muhammad Abdul Kader Jilani
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Abstract

In recent years, the rise in the utilization of business intelligence (BI) as a pivotal tool for enhancing economic performance has spurred considerable interest. This study, anchored in resource-based theory, delves into the intricate relationships among BI, environmental performance (EP), financial performance (FP), green accounting (GA), and energy efficiency (EE) within manufacturing firms in Bangladesh. Employing a multistage stratified random sampling technique, a structured questionnaire was administered to 368 participants over 5 months starting in June 2023. The study employs a comprehensive analytical method that includes disjoint two-stage PLS-based structural equation modeling, artificial neural networks, and fuzzy set qualitative comparative analysis to ensure robust and insightful results. The findings highlight the positive and significant impact of BI on EP, FP, GA, and EE for manufacturing firms, demonstrating the efficacy of BI in driving improvements across environmental and financial metrics. Notably, the study unveils the mediating effects of EE between GA and FP, as well as between BI and FP, emphasizing the crucial role of EE in bolstering financial outcomes. Moreover, EP emerges as a mediator between BI and GA, underscoring the connectedness of these constructs within the organizational frame. Pioneering in offering a BI-integrated concepts for environmental and FP, exploring mediating effects, and applying the integrated modeling approach, this research provides theoretical insights and practical implications, offering valuable guidance for stakeholders aiming to leverage BI strategies effectively.

揭示协同效应:商业智能与孟加拉国制造企业环境和财务绩效的关系
近年来,商业智能(BI)作为提高经济绩效的重要工具,其使用率不断上升,引起了广泛关注。本研究以基于资源的理论为基础,探讨了孟加拉国制造业企业中商业智能、环境绩效(EP)、财务绩效(FP)、绿色会计(GA)和能源效率(EE)之间错综复杂的关系。本研究采用多阶段分层随机抽样技术,从 2023 年 6 月开始对 368 名参与者进行了为期 5 个月的结构化问卷调查。研究采用了一种综合分析方法,包括基于结构方程模型的不连续两阶段 PLS、人工神经网络和模糊集定性比较分析,以确保得出稳健而有洞察力的结果。研究结果凸显了商业智能对制造业企业的 EP、FP、GA 和 EE 的积极而显著的影响,证明了商业智能在推动改善环境和财务指标方面的功效。值得注意的是,研究揭示了 EE 在 GA 和 FP 之间以及 BI 和 FP 之间的中介效应,强调了 EE 在促进财务结果方面的关键作用。此外,EP 也是 BI 和 GA 之间的中介,强调了这些概念在组织框架内的关联性。本研究开创性地提出了环境和财务自由的商业智能整合概念,探索了中介效应,并应用了整合建模方法,提供了理论见解和实践意义,为旨在有效利用商业智能战略的利益相关者提供了宝贵的指导。
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 Development
Business Strategy and Development Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
5.80
自引率
6.70%
发文量
33
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