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The effects of business analytics capability on circular economy implementation, resource orchestration capability, and firm performance

机译:业务分析能力对循环经济实施,资源编排能力和公司性能的影响

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摘要

Today, most organizations are undergoing a digital transformation. At the same time, the gravity of environmental issues has put sustainability and the circular economy at the top of corporate agendas. To this end, information systems, in particular business analytics, are being highlighted as essential enablers of an accelerated circular economy transition. However, effectively managing this joint transformation is a challenge. Firms struggle to identify which organizational resources they should target and how those should be leveraged towards a firm-wide business analytics capability for circular economy. To address these questions, this study draws on recent literature dealing with smart circular economy and business analytics capabilities along with the resource-based and resource orchestration view to (1) create an instrument to measure firms' business analytics capability for circular economy, and (2) examine the relationship among a circular economy-specific business analytics capability, circular economy implementation, resource orchestration capability, and firm performance. The proposed research model was tested using partial least squares structural equation modeling of survey data from 125 top-level managers at companies across Europe. The results show that firms with a strong business analytics capability have an increased resource orchestration capability and a greater ability to excel in the circular economy, resulting in improved organizational performance in building a more sustainable competitive advantage in an increasingly competitive business landscape. The effect of business analytics capability on firm performance is not direct but fully mediated through resource orchestration capability and circular economy implementation. The results empirically validate the proposed research model and offer pathways to future information systems research streams to support the operationalization of circular strategies. The study provides the first empirical evidence of a business analytics capability for circular economy and its effect on firm performance.
机译:今天,大多数组织正在进行数字转型。与此同时,环境问题的重力将可持续性和公司议程顶部的循环经济置于可持续性和循环经济。为此,突出了信息系统,特别是业务分析,作为加速循环经济转型的基本推动者。然而,有效管理这种联合转型是挑战。公司努力确定他们应该针对哪些组织资源以及如何利用这些资源,以利用循环经济的全新业务分析能力。为了解决这些问题,这项研究提出了最近与智能循环经济和业务分析能力的文献,以及资源为基础的和资源编排模式,以(1)创建一个仪器来衡量公司的循环经济的业务分析能力,以及( 2)审查循环经济特定的业务分析能力,循环经济实施,资源编制能力和公司性能之间的关系。使用部分最小二乘来测试所提出的研究模型,从欧洲的公司125个顶级经理中的调查数据进行了局部最小二乘结构方程式建模。结果表明,具有强大的业务分析能力的公司具有更高的资源管理能力和更大的循环经济能力,导致组织绩效提高,在越来越竞争的商业景观中建立更可持续的竞争优势。企业分析能力对公司性能的影响并不是通过资源编排能力和循环经济实施的直接而完全调解。结果经验验证了拟议的研究模式和向未来信息系统研究流的途径,以支持循环策略的运作。该研究提供了循环经济的业务分析能力的第一个经验证据及其对公司性能的影响。

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