جستجوی مقالات مرتبط با کلیدواژه « Key Drivers » در نشریات گروه « مدیریت »

Tourism is one of the areas that due to cultural and economic effects, has caused many countries to pay attention to the development of infrastructure and promoting its services. Due to its economic, geographical, cultural and historical advantages, Iran can be successful if it develops the necessary infrastructure and makes the right policies in this regard. One of these infrastructures is business intelligence. Business intelligence tools provide users with accurate information about the nature of the business by analyzing data and presenting reports, summaries, dashboards, maps, charts and diagrams. The present study seeks to identify the drivers that affect the future of business intelligence in Iranian tourism. The present study is pragmatic from the point of view of philosophical foundations; It is applied in terms of orientation and exploratory in terms of purpose. To conduct the research, in the first stage, the research drivers were extracted through a systematic review of the literature and interviews with experts. At this stage, 30 drivers were obtained, which were screened by Binominal test. After key drivers screening, 12 factors were eliminated and the remaining 18 drivers were prioritized using the best-worst fuzzy technique. The results showed that the drivers of tourism business environment, data-driven decision-making culture and foreign sanctions and are the most influential drivers on the future of business intelligence in tourism.

The automotive industry is known as one of the major industries in each country and has a significant role in its economic growth. Therefore, to compete globally, companies need to rethink their strategies based on understanding the environmental conditions and factors influencing their strategy, on which to base their strategy in the form of alliances, cooperation and partnerships. The purpose of this research is to identify key drivers affecting international strategic cooperation in the automotive industry. The methodology used in the present study is a systematic review of 49 articles on key drivers affecting international strategic cooperation of the automotive industry in international scientific databases such as Web of Science, Scopus and Google Scholar as well as in-house scientific databases that published since 2006 to 2019, extracted and after screening process, by coding method with MAXQDA software was analyzed. Based on result of the analysis of selected articles, a set of key environmental drivers were identified, categorized and described at industry, national and international levels. The results of this study show that a set of key drivers of automotive technology developments, automotive industry policy making, legal and institutional factors, global trends in automobile industry and international interactions of the country have had the most impact on the direction of international strategic cooperation in the automotive industry.

The efficient supply chain plays an important role in the production and distribution of oil products and petrochemicals in the country. The present study seeks to identify key drivers and future scenarios for the oil supply chain. Orientation of the study is, applied and in terms of methodology is considered multiple. To this end, firstly, using the literature review and expert interviews, key drivers of the future of the oil supply chain were determined and then, by applying the binomial test, these factors were screened. By using GBN technique and considering three indicators of specialty, intensity and consensus, among the 10 factors that were screened, six key factors were selected for scenario analysis. For final screening of the selected factors in the GBN method was applied DEMATEL. Finally, due to the degree of influence of key factors, two factors of foreign sanctions and macroeconomic policies related to anti-fragility were selected for mapping scenarios. With regard to these two drivers, research scenarios include: closed supply chain, fragile supply chain, anti-fragile supply chain, dynamic supply chain. To map the plausible scenarios of the research, CATOWE's tool of SSM was used.