An assessment of the contingency theory of management information systems
Journal of Management Information Systems
Developing business and information strategy alignment: a study in the banking industry
ICIS '91 Proceedings of the twelfth international conference on Information systems
An examination of major IS planning problems
International Journal of Information Management: The Journal for Information Professionals
Dynamic and emergent information systems strategy formulation and implementation
International Journal of Information Management: The Journal for Information Professionals
Analysis of organizational dependency for urbanism of information systems
International Journal of Computer Integrated Manufacturing
Comparing strategic intents for public-private partnerships, outsourcing and shared services
Proceedings of the 10th Annual International Conference on Digital Government Research: Social Networks: Making Connections between Citizens, Data and Government
The role of knowledge management in achieving effective crisis management: a case study
Journal of Information Science
Exploring the effect of strategic positioning on firm performance in the e-business context
International Journal of Information Management: The Journal for Information Professionals
The role of content management systems in publishing firms
International Journal of Information Management: The Journal for Information Professionals
Motives for establishing shared service centers in public administrations
International Journal of Information Management: The Journal for Information Professionals
Understanding the business-IT relationship
International Journal of Information Management: The Journal for Information Professionals
Factors that Improve ERP Implementation Strategies in an Organization
International Journal of Enterprise Information Systems
A Systematic Review of Business and Information Technology Alignment
ACM Transactions on Management Information Systems (TMIS)
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Information technology (IT) has transformed business practices in the last several decades: operations, product strategies, distribution, and customer service have become increasingly dependent on IT. Moreover, IT has changed its orientation from that of pure operational utility in the 1960s and 1970s to that of a competitive weapon in the 1990s and today. These phenomena have affected the way modern organizations are managed, as well as the way IT affects the strategic activities of an organization's value-chain. In particular, aligning an organization's business and IT strategies in order to deliver higher business performance presupposes a strategic business opportunity to which information systems technology is integral. In other words, Strategic Alignment between business and IT can have a positive business impact only if we see an organization's IT components as parts of a well-integrated organizational system. If business strategy is viewed separately from IT strategy or IT strategy is viewed only as a ''support'' tool, then there is little likelihood that the above positive impact of strategic alignment can take place. This research suggests, develops and tests a strategic co-alignment model by examining three types of integration that impact the planning process and the overall performance of information-intensive organizations: technological integration (TI), functional integration and strategic integration (SI). The results of this research yield some useful set of guidelines for theory building for IS, as well as for the business practice aspect of IS: most interesting is the role of consistency (co-alignment) between an organization's business and strategic information systems plans to improve overall firm performance. Other recommendations include having a high degree of involvement of IS executives in corporate planning, the use of outsourcing services to promote organizational systems integration, and the importance of internal coordination mechanisms to facilitate both systems consistency and lower transaction costs. Finally, this study has employed cluster analysis and discriminant analysis to interpret the research findings.