درخت حوزه‌های تخصصی

This study investigates the effect of IT-business strategic alignment on organizational agility by considering the effects of IT flexibility and IT capability on strategic alignment. Also this study investigates the moderating role of environmental uncertainty on the relationship between strategic alignment and organizational agility. This research is an applied research based on purpose and descriptive-survey in terms of data collection. The statistical population consists of 330 people who work in Telecommunication Company. In this research, library method and researcher-made questionnaire were used for data collection. Its validity was confirmed by content related validity and using confirmatory factor analysis. Also Cronbach's alpha coefficient was used for its reliability. AMOS software was used to examine the relationships between the structures that formed the research hypotheses. For analyzing the moderator, Hierarchical regression analysis was used by SPSS. Finally, the results stated that IT capability and IT flexibility have a significant impact on IT-Business strategic alignment and IT-business strategic alignment has a significant impact on organizational agility, but hypothesis 4, which related to the moderating role of environmental uncertainty on the relationship between strategic alignment and organizational agility, was not confirmed.

Every company should think about producing new goods, the production of alternative goods is necessary in order to stabilize the level of sales or new sales; Customers also want new products, and if the company neglects to do so, competitors will certainly do so. Therefore, the present article seeks to provide a model appropriate to the conditions of gas refining companies for product development. In this study, the qualitative research method has been used as a grand theory; Using theoretical sampling and theoretical saturation, 20 experts of gas refining companies (Parsian, South Pars, Fajr Jam) were interviewed. Based on the basic theory, the data were analyzed in three stages of coding (open, axial and selective) using MAXQDA software. In the open coding phase, the data were labeled conceptually and then those that were common to each other were named into a category; the obtained categories were 43 categories. In the central coding stage, logical relationships were found between the categories and the obtained categories were included in the open coding under more general categories; finally, in the selective coding stage, all categories were summarized in one main category. The main category of the research was named "Interfering factors in new product development". The final result of this research, according to the researcher's attention and reflection on the details of the process of each of the three refining companies, is to provide an existing common model for all three companies and also to provide a common desired model for all three companies. In the open coding phase, the data was labeled conceptually and then those that were common to each other were named into a category; The obtained categories were 43 categories. In the central coding stage, logical relationships were found between the categories and the obtained categories were included in the open coding under more general categories; Finally, in the selective coding stage, all categories were summarized in one main category. The main category of the research was named "Interfering factors in new product development". The final result of this research, according to the researcher's attention and reflection on the details of the process of each of the three refining companies studied, providing a common model for all three companies and also providing a common model for all three companies.