Designing Decision Support System to Select IT Projects and Services (Case Study: Tosan Company)
Publish Year: 1396
Type: Journal paper
Language: English
View: 203
This Paper With 19 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
Export:
Document National Code:
JR_JITM-9-1_002
Index date: 15 February 2022
Designing Decision Support System to Select IT Projects and Services (Case Study: Tosan Company) abstract
Nowadays, considering the focus of international community on the field of IT services as well as the move of large organizations toward profitability by providing appropriate services to the needs of organization and business markets, it is necessary to draw more consideration to the related projects than ever. In this regard, identification and selection of IT services' indicators and evaluation of these services, and projects, are effective methods to increase profitability and effectiveness of IT in organizations. Therefore, in this study, first the effective criteria in selecting IT projects and services identified, and then a decision support system designed based on fuzzy analytical hierarchy process. And also, by applying the proposed system, the analysis was conducted to determine the sensitivity of various criteria against changes and the effects of each on the final ranking results. Finally, comparing the results of the study with others, the advantages of proposed decision support system have been described.
Designing Decision Support System to Select IT Projects and Services (Case Study: Tosan Company) Keywords:
Designing Decision Support System to Select IT Projects and Services (Case Study: Tosan Company) authors
آمنه خدیور
Assistant Prof. in Management, Faculty of Social science and Economics, University of Alzahra, Tehran, Iran
غزال پاکدامن
MSc. in IT., Faculty of Social Science and Economics, University of Alzahra, Tehran, Iran
فاطمه مجیبیان
Ph.D. of Industrial Management, Tarbiat Modares University, Tehran, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :