Designing an Interpretive Structural Model of Intelligent Technology Development Components in the Telecommunication Industry: A Mixed Approach.
Subject Areas : business management
Heshmat Moradhaseli
1
,
Jalal Haghighatmonfared
2
,
ahmadreza etemadi
3
1 - Department of Information Technology Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
2 - Department of Industrial management, central Tehran branch, Islamic azad university, Tehran, iran
3 - Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
Keywords: Telecommunications, Interpretive Structural Modeling, Intelligent technologies,
Abstract :
The development of intelligent technologies requires planning,organizing,controlling and monitoring.The main purpose of this study is to design a structural model of components for the development of intelligent technologies in the telecommunications industry. The present study is a qualitative-quantitative (mixed) research. The population studied in the qualitative part of this research consists of 10 experts in this field in Ilam Province Infrastructure Communications Company.Also, the study population in the quantitative and modeling sections are the same 10 experts. In this research, first, using semi-structured interviews and their analysis,153 codes,9 main categories and 4 general themes were identified as technological, managerial, marketing and cultural infrastructures.In the next step, bydistributing the pairwise comparison questionnaire related to9 main categories and analyzing them, an interpretive structural model of the research was obtained.This model consists of 5 levels,among which, knowledge is at the lower level and is the underlying variable for the development of intelligent technologies.At the next level, it is the training variable that is the next priority.The variables of awareness, belief and attractiveness are important in the next category that paying attention to these factors,in order of importance, can be very useful and effective in the development of intelligent technologies in the telecommunications industry.
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