Modelling quality dynamics, business value and firm performance in a big data analytics environment

By S. Ren, Samuel Fosso Wamba, Shahriar Akter, Rameshwar Dubey, Stephen J. Childe. International Journal of Production Research, 2017

324 citations recorded by the source corpus.

Subfields: Management Information Systems, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/b997492c79f7980999b0f734cca76ef2761b4274

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Information Systems

In Management Science and Operations Research

Citations in the corpus

Big data and predictive analytics for supply chain and organizational performance (2017, background): “The role of RBV in explaining BDPA is discussed within the operations and supply chain management literature (Ji-Fan Ren et al., 2016) but not in relation to SCP and OP; a study by Whitten et al. (2012) claims that SCP is positively associated with market and financial performance.”
Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culture (2019, background): “Therefore, even though research has broadly discussed characteristics and the impact of BDPA on performance (organizational or operational performance) (see Gupta and George, 2016; Ren et al., 2017; Gunasekaran et al., 2017; Fosso Wamba et al., 2017; Srinivas and Swink, 2018; Wang et al., 2018; Aydi”
Big data analytics adoption: Determinants and performances among small to medium-sized enterprises (2020, background): “Ji-fan Ren et al. (2017), Raguseo and Vitari (2018), and Wamba et al. (2017) indicated that BDA adoption would likely help companies enhance their financial performance.”
Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities (2020, background): “One of the main characteristics of such data is that it is in an unstructured format and requires sophisticated infrastructure investments to result in meaningful and valuable information [35].”
Big data analytics capability in supply chain agility (2019, unknown): “While some researchers have established the linkage between big data analytics capability and competitive advantage (Akter et al. 2016; Ji-fan Ren et al. 2017; Frisk and Bannister, 2017) and supply chain agility and competitive advantage (Blome et al. 2013; Gligor et al. 2015), little empirical…”