Enterprise Information Systems Capabilities and Data Governance: Comparative Case Study Insights on Innovation and Efficiency Pathways in Manufacturing and Healthcare
TL;DR
A cross-case analysis was conducted to explore how MO translates into supply chain innovation (SCI) and supply chain efficiency (SCE) through the enabling roles of EIS and governance mechanisms, revealing that MO does not directly improve OP but operates through distinct pathways.
Abstract
This study investigates how enterprise information systems (EIS) capabilities and data governance jointly enable organizations to transform market orientation (MO) into organizational performance (OP). Both manufacturing and healthcare sectors continue to face fragmented data environments, limited interoperability, and governance inconsistencies that weaken the ability of managers to convert market insights into innovation and efficiency outcomes. Moving beyond prior quantitative models, the paper adopts a comparative case study design to capture the socio technical complexity of EIS adoption across manufacturing and healthcare. Six organizations were examined (three manufacturing firms and three healthcare providers). Data were collected through 32 semi structured interviews, supplemented by archival documents and observations. A cross-case analysis was conducted to explore how MO translates into supply chain innovation (SCI) and supply chain efficiency (SCE) through the enabling roles of EIS and governance mechanisms. The analysis reveals that MO does not directly improve OP but operates through distinct pathways. In manufacturing, EIS capabilities enable MO to foster innovation-oriented outcomes, while in healthcare, strong governance frameworks ensure that MO translates into efficiency driven improvements.