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.

如今，大多数组织都在进行数字化转型。与此同时，环境问题的严重性已将可持续性和循环经济置于企业议程的首位。为此，信息系统，尤其是业务分析，被强调为加速循环经济转型的重要推动因素。然而，有效管理这种联合转型是一项挑战。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来实现循环经济的全公司业务分析能力。为了解决这些问题，本研究借鉴了近期有关智能循环经济和业务分析能力的文献，以及基于资源和资源编排的观点，以 (1) 创建一种工具来衡量企业的循环经济业务分析能力，以及 (2) 研究两者之间的关系循环经济特定的业务分析能力、循环经济实施、资源编排能力和公司绩效。提议的研究模型使用偏最小二乘结构方程模型对来自欧洲各地公司的 125 名高层管理人员的调查数据进行了测试。结果表明，业务分析能力强的企业，其资源编排能力更强，在循环经济中的表现更出色，从而提高组织绩效，在竞争日益激烈的商业环境中建立更可持续的竞争优势。业务分析能力对公司绩效的影响不是直接的，而是完全通过资源编排能力和循环经济实施来调节的。结果从经验上验证了所提出的研究模型，并为未来的信息系统研究流提供了途径，以支持循环战略的实施。该研究为循环经济的业务分析能力及其对公司绩效的影响提供了第一个经验证据。业务分析能力对公司绩效的影响不是直接的，而是完全通过资源编排能力和循环经济实施来调节的。结果从经验上验证了所提出的研究模型，并为未来的信息系统研究流提供了途径，以支持循环战略的实施。该研究为循环经济的业务分析能力及其对公司绩效的影响提供了第一个经验证据。业务分析能力对公司绩效的影响不是直接的，而是完全通过资源编排能力和循环经济实施来调节的。结果从经验上验证了所提出的研究模型，并为未来的信息系统研究流提供了途径，以支持循环战略的实施。该研究为循环经济的业务分析能力及其对公司绩效的影响提供了第一个经验证据。