Information Systems Research
From green to sustainability: Information Technology and an integrated sustainability framework
The Journal of Strategic Information Systems
The Impact of Automation of Systems on Medical Errors: Evidence from Field Research
Information Systems Research
Information Quality in Wikipedia: The Effects of Group Composition and Task Conflict
Journal of Management Information Systems
Journal of Management Information Systems
Relative Industry Concentration and Customer-Driven IT Spillovers
Information Systems Research
Journal of Management Information Systems
Journal of Management Information Systems
Critical success factors in enterprise resource planning systems: Review of the last decade
ACM Computing Surveys (CSUR)
Green practices-IS alignment and environmental performance: The mediating effects of coordination
Information Systems Frontiers
Commodity or competitive advantage? Analysis of the ERP value paradox
Electronic Commerce Research and Applications
How do competitive environments moderate CRM value?
Decision Support Systems
Integrating ERP and e-business: Resource complementarity in business value creation
Decision Support Systems
Hi-index | 0.00 |
Manufacturing firms are increasingly using advanced enterprise-level information systems to coordinate and synchronize externally oriented functions such as marketing and supply chain and internally oriented activities such as manufacturing. In this paper, we present a model of manufacturing performance that simultaneously considers the effects of a firm's integrated IS capability in conjunction with interfunctional and interorganizational coordination mechanisms. Consistent with the complementarity perspective, we view this specific form of IS capability as enhancing manufacturing's coordination with marketing and supply chain functions to drive manufacturing performance. Additionally, the theoretical model presented here introduces manufacturing-IS coordination, a form of coordination not considered in past research, as a key antecedent to integrated IS capability. The research thus provides a comprehensive framework for examining manufacturing performance in contexts that have been transformed by the use of advanced information systems. The theoretical model is tested using primary data collected from manufacturing firms and matched with objective manufacturing performance data from secondary sources. Results show that a firm's integrated IS capability, as well as the complementary effects of IS capability with manufacturing, marketing, and supply chain processes, are significant predictors of manufacturing performance. These findings are robust to concerns of endogeneity, unobserved heterogeneity, and alternative model specification.