Information and Management
Does successful investment in information technology solve the productivity paradox?
Information and Management
Information technology and economic performance: A critical review of the empirical evidence
ACM Computing Surveys (CSUR)
Information Systems Research
Examining possible antecedents of IT impact on the supply chain and its effect on firm performance
Information and Management
Journal of Management Information Systems
Investment in Enterprise Resource Planning: Business Impact and Productivity Measures
Journal of Management Information Systems
Institutional pressures and mindful IT management: The case of a container terminal in China
Information and Management
The impact of business analytics on supply chain performance
Decision Support Systems
Journal of Global Information Management
Inter-Organizational IT Capability in China: An Empirical Analysis of Dimensions and Influences
Journal of Electronic Commerce in Organizations
Journal of Management Information Systems
International Journal of Strategic Information Technology and Applications
Developing Organizational Agility through IT and Supply Chain Capability
Journal of Global Information Management
The impact of XBRL adoption in PR China
Decision Support Systems
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Previous empirical studies examining the relationship between IT capability and accounting-based measures of firm performance reported mixed results. We argued that prior work has relied on aggregate overall measures of the firm's IT capability, ignoring the specific type and nature of IT capability; and also has not fully considered important environmental conditions that influence the relationship. Drawing on a resource-based view, we advanced a contingency perspective and proposed that IT capabilities' impact on firm resources was contingent on the ''fit'' between the type of IT capability/resource a firm possesses and the demands of the industry in which it competes. Specifically, using publicly available rankings as proxies for two types of IT capabilities (internally and externally focused), we empirically examined the degree to which three industry characteristics (dynamism, munificence, and complexity) influenced the impact of each type of IT capability on measures of financial performance. After controlling for prior performance, we found there was general support for the posited contingency model. The implications of these findings are also discussed.