Identifying obstacles to information technology outsourcing in organizations (case study of Qazvin Municipality)

 The information technology department in an organization consists of a completely complex space and hosts all kinds of hardware, software and computer networks. This space will provide you with the possibility and opportunity to launch and implement professional and important workflows and operations; such as financial and accounting processes, customer relationship management, sending and receiving emails and producing and publishing documents in the field of information technology, especially dealing with computers, network support and network maintenance and other network services and the stability of basic and critical services of a Organization is the most troublesome and cumbersome issue for economic enterprises to focus on their goals and expertise. Today, the information technology units of organizations focus on the production of software and intelligent systems on platforms such as web and mobile in order to accelerate and increase the quality of organizational services and create new business opportunities. work and outsourcing in the data center infrastructure sector can make the organization's information technology unit focus more on its main missions. This research is about identifying the obstacles of information technology outsourcing in Government in Qazvin Municipality was investigated. This research is survey and practical, and the data collection tool is a questionnaire, and the data collection method is field. In this research, indicators were first identified and research hypotheses were proposed based on these indicators, and structural equation technique was used for data analysis, and lisrel software was also used, and finally all The proposed assumptions were proven. And the assumptions in dimensions such as risks caused by change. Risks caused by human resources. The risks caused by financial resources were presented and the influence of all the mentioned indicators were proven