To remain competitive within the current, uncertain business scenario, it is vital for firms to develop capabilities that lead them to adapt and offer quick responses to market changes. Under the dynamic capabilities view of the firm, this paper proposes a model that presents an exhaustive analysis of two relevant research gaps: (i) the underlying relationships that determine the impact exerted by each of the four organizational culture typologies, comprised in Cameron and Quinn’s Competing Values Framework on organizational agility and, (ii) the contingency effect exerted by a key environmental factor, the industry’s technology intensity. An empirical study is performed to test the relationships proposed, using data collected from 172 Spain-based companies. To examine the contingency effect of technology intensity, the sample is divided into two subsamples, high and medium tech companies. This work uses partial least squares path-modeling, a variance-based structural equations modeling technique, in order to test and validate the research model and hypotheses posited. In addition, thorough analyses are carried out to assess the predictive performance of our model.

Purpose: This article examines the mechanisms through which big data analytics capabilities (BDAC) contribute to creating sustainable value and analyzes the mediating roles that supply chain management capabilities (SCMC), as well as circular economy practices (CEP), play through their impact on sustainable performance.Design/methodology/approach: Following a literature review, a serial mediation model is presented. Hypotheses regarding direct and mediating relationships are tested to determine their potential for sustainability impact and circularity. Partial least squares structural equation modeling (PLS-SEM) has been applied for causal and predictive purposes.Findings: The results indicate that big data analytics capabilities do not have a direct positive impact on sustainable performance but influence indirectly through SCMC and CEP.Originality/value: Although some authors have addressed the associations between IT business value, supply chain (SC), and sustainability, this paper provides empirical evidence related to these relationships. Additionally, this study performs novel predictive analyses.