محسن رسولیان

Textiles as a forerunner in the industrialization of many current developed countries to the post-industrial stage has fundamental role. Due to the occurrence of many problems in the Iranian textile industry, this industry has faced many hardships. The objective of this article is to develop an evaluation model for sustainable technology in the textile industry. The present research method is applied, in terms of (quantitative-qualitative) mix method. The qualitative sector is consists of the statistical population of elite in the textile industry, which semi-structured interviews were carried out with 10 experts in the textile industry. Their ideas were refined in two stages using the Fuzzy Delphi method and according to the library studies and expert ideas, the evaluating components of technology were identified and a researcher-made questionnaire was developed in the Likert spectrum. Its validity was measured using confirmatory factor analysis and reliability with combined method. The quantitative sector is consist of the statistical population includes all engineers, managers and university professors of the textile industry, of which 200 people were randomly selected as the sample size. Based on the results of the qualitative and quantitative sectors, the technology evaluating model has been drawn including 10 dimensions of economic, cultural, environmental, marketing, legal, organizational, political, technical, managerial and marketing. Obstacles and influential factors in evaluating technology are stated here with their consequences.

Pension funds are major concerns and future threats to the economy of de-veloping countries. In general, pension funds are among the most sensitive and complicated modern financial institutions in today’s world, as well as an important component of the national economy to achieve the goals of the social security system. The present study was only focused on the dimensions and prioritization of the influential factors in evaluating the impact of pension funds. This could be an important step toward accurate policymaking in this regard within a shorter period and with decreased costs by recognizing the important factors. This was an applied research in terms of the objectives and involved a mixed method in terms of the design. Data were collected in two consecutive stages using the descriptive survey method. The first stage involved a qualitative assessment using the content analysis method, and the second stage was carried out using a decision-making mathematical model known as the fuzzy DEMATEL method. The two stages facilitated the identification of the influ-ence and interaction of the factors and prioritized the identified indexes. The fuzzy DEMATEL technique is a simple and efficient model applied to rec-ognize and rank the most important factors. The factors were calculated based on the opinions of experts using the fuzzy DEMATEL method. Ac-cording to the results, the three most important factors in this regard were upstream rules and regulations, inflation, and investment strategies.