Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/1503
Title: Information Systems Strategy and Innovation: Analyzing Perceptions Using Multiple Criteria Decision Analysis
Authors: Kitsios, Fotis
Kamariotou, Maria
Type: Article
Subjects: FRASCATI::Natural sciences::Computer and information sciences
FRASCATI::Social sciences::Economics and Business
Keywords: Information systems (IS) strategy
innovation performance
multiple criteria decision analysis (MCDA)
satisfaction
small–medium-sized enterprises (SMEs)
Issue Date: 2021
Source: IEEE Transactions on Engineering Management
First Page: 1
Last Page: 9
Abstract: The current challenging environment may cause difficulties in the financial dimension of firms and particularly for small–medium-sized enterprises (SMEs), which may lead to the lack of administrative, technical, and human capabilities which, in effect, may constrain the capacity to deal with the crisis. In light of technological advances, scholars and practitioners have concluded that the greatest obstacle to the adoption of innovative technologies is the lack of information systems (IS) strategy. IS strategy is a critical dimension of innovation and competitive advantage for SMEs. IS strategy includes multiple conflicting objectives and the use of multiple criteria decision analysis (MCDA) is to support better decision making. SMEs need a guide for effective decision making in the information technology (IT) field and decision-making processes that are based on MCDA methods increase innovation and entrepreneurship. Thus, this article aims to investigate the effect of the use of IS strategic planning on IT executives’ satisfaction using MCDA. All data are obtained in 294 Greek SMEs from IS executives. The results of this article could enable managers to understand how IS strategy supports the development of innovative technologies that incorporate opportunities to enhance business development and innovation.
URI: https://doi.org/10.1109/TEM.2021.3103318
https://ruomo.lib.uom.gr/handle/7000/1503
ISSN: 0018-9391
1558-0040
Other Identifiers: 10.1109/TEM.2021.3103318
Appears in Collections:Department of Applied Informatics

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