ابوتراب علیرضایی

Purpose: Technology plays an essential role in any country to achieve sustainable development. Choosing appropriate and advanced technology is one of the strategic decisions of industrial managers. This research discusses the critical factors that should be considered in the process of choosing new technologies based on the competitive mechanism, and accordingly, designs and explains the technology selection model for equipping downstream petrochemical industrial units to create a competitive advantage.Method: The research method is an applied one and in terms of data type, it is a partly qualitative and quantitative research. In the quantitative phase, research data was collected based on the data obtained from the qualitative phase, and using the questionnaire tool. The research data was analyzed using thematic analysis and MaxQda software in the qualitative phase and they were also  analyzed using the TOPSIS technique and meta-heuristic algorithm in the quantitative phase for modeling.Findings: Thirty-four concepts and five categories were identified as technology selection criteria for equipping downstream petrochemical industrial units to create a competitive advantage. The "technical criteria" factor was identified as the foremost priority in equipping downstream petrochemical industrial units to create a competitive advantage. The ranking of the determined categories from one to five were the factors of competitive criteria, strategic criteria, internal criteria, and external criteria, respectively.Conclusion: Finally, using the TOPSIS fuzzy technique, the model of equipping industrial units was presented to help decision-makers and policy makers of downstream petrochemical industries.

Today's world has been built on the basis of competition and uncertainty, thus the role of facilitators, such as technology and information technology is undeniable. In this research developed Technology Acceptance Model to identify and prioritizing the factors affecting was used on formation of decision and behavior of customers in adoption of Internet banking of Post Bank. The statistical population consisted of all consumers of Post Bank in Tehran. Total of 400 questionnaires was distributed among community members; ultimately 384 usable questionnaires were coded and were entered into SPSS and LISREL software up to use the analysis of data. Results of factor analysis indicated proper fitting of the model and compliance of extracted factors with designed questions and explained variables in the model of the research. At the inferential statistics level also the results of using single sample T-test and ANOVA Friedman tests often were confirmed research hypotheses. Furthermore were showed the ease of application variable has the most influence on Internet banking adoption and next variables had been in order being applied, the security of private information, being pleasure existence of appropriate hardware and familiarity with Internet banking.