Successful planning of Information Systems (SISP) is perhaps going to be more problematic in today'

The effect of information system on decision making is a central concern in the field of information system (IS). Information systems form the backbone of any business process integration and the main objective of information systems is helping decision makers by providing accurate and time based information helping them in making the right decisions in turbulent environment. The present study has been performed to examine the impact of using management information systems (MIS) and conceptual dimensions of information quality on the quality of managerial decisions in public organizations in Iran. Sample of the study was 250 of the managers from 17 public organizations that were chosen randomly and data was collected on 2015. Using artificial neural networks (ANN) analysis results show that MIS and conceptual dimensions of information quality have a positive effect on quality of managerial decisions and this effect is stronger when MIS and conceptual dimensions of information quality are merged.

Strategic information systems planning (SISP) is more difficult in today’s world of rapid change and uncertainty. The dynamic changes in the environment require a fit between SISP and internal resources of the firm. A need exists to study SISP success based on a broad set of organizational attributes of firm. In this regard, a resource-based view (RBV) has gained increasing dominance in the strategic management field and views organization as a bundle of resources. Reviewing SISP literature reveals little on what the essential Information Systems’ formulation (IS) capabilities for SISP are and how they affect success. In this study, the relationship between capability factors and SISP success are explored. Capability factors were compiled through literature review and validated by using interviews. Hypotheses were developed and tested utilizing responses collected from 167 medium to large Iranian organizations. Using PLS for data analysis, the results show the important role of capability factors in SISP success that could be beneficial for both practice and research.

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