Through outsourcing, a company can expand and develop its sources and capacities by accessing to higher quality services and better functionality. This paper deals with the perception of the managers of the telecommunication industry sector on the effects of outsourcing on operational strategy and especially on the issues associated with cost reduction, developed quality, flexibility and better service. Because of the importance of the strategic feature of outsourcing, we examined its effects on the organizational function of the telecommunication industries. This study shows that managers believe that outsourcing has a great impact not only on the cost reduction but also on other goals of operational strategies, which makes outsourcing become inherently more strategic. In addition, it seems that outsourcing influences function noticeably. In the present research, the relationships between propensity to outsourcing and operational objectives and organizational performance in telecommunication industries are assessed. The aim of this research is to examine the propensity to outsourcing and its impacts on operational objectives including cost reduction, improved quality, flexibility and better service and organizational performance, which includes financial performance and non-financial performance. In the research, data are collected through field research and questionnaires. The questionnaires are distributed among the board of directors, quality managers, operational administrators, and lower managers and then the feedbacks are analyzed using SPSS and Minitab software based on deductive and descriptive statistics.

Performance evaluation is one of the most important techniques to prioritize different decision making units. Data envelopment analysis (DEA), as a non-parametric method, plays an important role for measuring relative efficiency. Balanced score card, on the other hand, is another method to evaluate a business plan based on non-financial perspectives. The integrated BSC-DEA takes advantage of the advantages of both methods & apos; features. In this paper, we propose a BSC-DEA method to rank different decision making units. We consider different financial criteria such as profit-margin, return on assets along with non-financial criteria such as customer satisfaction, advanced services, employee skills to compare the performance of different banks. The results are analyzed and discussed, which could be used for making better decisions.

Data Envelopment Analysis (DEA) is one of the most popular techniques for measuring the relative efficiencies of a set of decision making units (DMUs), which use different inputs producing various outputs. Ranking of efficient DMUs is one of the most interesting DEA perspectives. However, there are cases where we see some limitations on available resources and the proposed model of this paper is associated with Indicator with Limited Sources (ILS), which affects ranking methods. The ILS exists as fixed amount in a community and the DMUs can own it with their abilities. When a DMU loses the same amount of the indicator, the rest of the DMUs are able to own some without even changing their capacities of other indicators and or vice versa. If a DMU looks for more of the same amount of the indicator, the rest of the DMUs have to supply it without even changing their capacity of other indicators. This paper develops a ranking method based on the ILS for the efficient DMUs, when there is changes either in inputs/ outputs ILS. The implementation of the proposed model is applied for a case study of banking system.