
Research Article
A Fuzzy TOPSIS Based Analysis to Prioritize Enabling Factors for Strategic Information Technology Management
@ARTICLE{10.4108/eai.4-4-2022.173782, author={Raziya Siddiqui and Naseem Ahmad Khan and Shafeeq Ahmad}, title={A Fuzzy TOPSIS Based Analysis to Prioritize Enabling Factors for Strategic Information Technology Management}, journal={EAI Endorsed Transactions on Context-aware Systems and Applications}, volume={8}, number={1}, publisher={EAI}, journal_a={CASA}, year={2022}, month={4}, keywords={Strategic orientation, organizational structure, structural complexity, strategic information technology management, performance, fuzzy logic}, doi={10.4108/eai.4-4-2022.173782} }
- Raziya Siddiqui
Naseem Ahmad Khan
Shafeeq Ahmad
Year: 2022
A Fuzzy TOPSIS Based Analysis to Prioritize Enabling Factors for Strategic Information Technology Management
CASA
EAI
DOI: 10.4108/eai.4-4-2022.173782
Abstract
Strategic management of information technology (IT) requires the attention provided to internal and external organizational factors. This paper discusses different enabling factors that allow strategic management of IT, making advances not only for using the approaches independently as well as in using them in a corresponding and adaptive way. A questionnaire-based survey and in-depth discussions were performed with 40 primary stakeholders to assess the relevance of enabling factors. Using available resources-based analysis, enabling factors were defined in four different categories: organizational, business, technological, and operational assessment. Subsequently, these four enabling factors were prioritized using the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) multi-criteria decision analysis method. Finally, technological assessments were given high priority on the basis of the findings to allow more successful strategic IT management.
Copyright © 2022 Raziya Siddiqui et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.