ABSTRACT The potential of big data analytics in enabling improvements in business processes has urged researchers and practitioners to understand if, and under what combination of conditions, such novel technologies can support the enactment and management of business processes. While there is much discussion around how big data analytics can impact a firm’s incremental and radical process innovation capabilities, we still know very little about what big data analytics resources firms must invest in to drive such outcomes. To explore this topic, we ground this study on a theory-driven conceptualisation of big data analytics based on the resource-based view (RBV) of the firm. Based on this conceptualisation, we examine the fit between the big data analytics resources that underpin the notion, and their interplay with organisational contextual factors in driving a firm’s incremental and radical process innovation capabilities. Survey data from 202 chief information officers and IT managers working in Norwegian firms are analysed by means of fuzzy set qualitative comparative analysis (fsQCA). Results show that under different combinations of contextual factors the significance of big data analytics resources varies, with specific configurations leading to high levels of incremental and radical process innovation capabilities.

中文翻译：

---

检查大数据分析与推动流程创新能力的上下文因素之间的相互作用

摘要 大数据分析在改进业务流程方面的潜力促使研究人员和从业人员了解此类新技术是否以及在何种条件组合下可以支持业务流程的制定和管理。虽然关于大数据分析如何影响公司渐进式和激进的流程创新能力的讨论很多，但我们仍然对公司必须投资哪些大数据分析资源以推动这种结果知之甚少。为了探讨这个话题，我们将这项研究建立在基于公司基于资源的观点 (RBV) 的大数据分析的理论驱动概念化之上。基于这种概念化，我们研究了支撑这一概念的大数据分析资源之间的契合度，以及它们与组织环境因素在推动公司渐进式和激进的流程创新能力方面的相互作用。来自挪威公司的 202 名首席信息官和 IT 经理的调查数据通过模糊集定性比较分析 (fsQCA) 进行分析。结果表明，在不同的情境因素组合下，大数据分析资源的重要性各不相同，特定的配置导致高水平的增量和激进的流程创新能力。