Start Date
16-8-2018 12:00 AM
Description
This study proposes that BI&A decentralized governance and BI&A modular architecture are important to leverage the basic BI&A capabilities for supply chain, in an interactive manner, to improve organization’s integrated supply chain information and analytical outcomes. A survey instrument anchoring to existing first and second order constructs is developed. Structural modeling approach with primary data is the proposed methodology for testing the model and hypotheses. This study will contribute to cross-discipline of supply chain and business intelligence.
Recommended Citation
Ramakrishnan, Thiagarajan; Kathuria, Abhishek; and Khuntia, Jiban, "Business Analytics Capability and Supply Chain Management" (2018). AMCIS 2018 Proceedings. 27.
https://aisel.aisnet.org/amcis2018/StrategicIT/Presentations/27
Business Analytics Capability and Supply Chain Management
This study proposes that BI&A decentralized governance and BI&A modular architecture are important to leverage the basic BI&A capabilities for supply chain, in an interactive manner, to improve organization’s integrated supply chain information and analytical outcomes. A survey instrument anchoring to existing first and second order constructs is developed. Structural modeling approach with primary data is the proposed methodology for testing the model and hypotheses. This study will contribute to cross-discipline of supply chain and business intelligence.