A resource orchestration perspective of organizational big data analytics adoption: evidence from supply chain planning

Abstract

PurposeThis paper investigated the organizational adoption of big data analytics (BDA) in the context of supply chain planning (SCP) to conceptualize how resources are orchestrated for organizational BDA adoption and to elucidate how resources and capabilities intervene with the resource management process during BDA adoption.Design/methodology/approachThis research elaborated on the resource orchestration theory and technology innovation adoption literature to shed light on BDA adoption with multiple case studies.FindingsA framework for the resource orchestration process in BDA adoption is presented. The authors associated the development and deployment of relevant individual, technological and organizational resources and capabilities with the phases of organizational BDA adoption and implementation. The authors highlighted that organizational BDA adoption can be initiated before consolidating the full resource portfolio. Resource acquisition, capability development and internalization of competences can take place alongside BDA adoption through structured processes and governance mechanisms.Practical implicationsA relevant discussion identifying the capability gap and provides insight into potential paths of organizational BDA adoption is presented.Social implicationsThe authors call for attention from policymakers and academics to reflect on the changes in the expected capabilities of supply chain planners to facilitate industry-wide BDA transition.Originality/valueThis study opens the black box of organizational BDA adoption by emphasizing and scrutinizing the role of resource management actions.