درخت حوزه‌های تخصصی

Globalization is one of the important elements of external environment of the enterprises, that is why it is defined to be the main object of this study. The main signs of globalization in international trade and the qualitative / quantitative changes caused are studied, in particular, attention is paid to the mutual exchange of resources to solve international problems, including environmental ones. The transformation of competitive / monopoly relations under the influence of globalization in the areas of levels of cooperation, the ratio of competition / rivalry, the dependence of competition on innovation, models of competitive behavior are analyzed. The impact of globalization on economic processes of influences redistribution in the markets between residents and nonresidents is investigated, the factors that cause changes in investment activity of nonresidents are identified, namely the direct relationship between changes in the index of economic globalization and the number of foreign enterprises in Ukraine. Based on the research, the identified exogenous factors are complemented by such factors as protection of intellectual property rights and prevention of abuse of intellectual property rights, and endogenous - as a relationship of decisive influence on businesses in specific markets, management awareness of the impact of their transactions on the market and others. It is concluded that globalization does not take into account the national characteristics of individual economies, the resource potential of development, but involves the use of existing benefits, respectively, those who want to become part of it must acquire certain exclusivity, disseminate relevant information, introduce innovation in enterprise management systems, show interest in cooperation with the relevant participant for the development of digitalization, social and economic transformations.

Negative relation between unemployment and inflation is known as the Philips model, which states, when inflation is high, unemployment gently decries and when unemployment is low, salaries will increase rapidly. While economic planners of the country tend to impart this situation highly, it would fall down, because frequent increase of inflation with the hope of keeping unemployment low permanently, ultimately will cause rise in expected inflation of organizations and lead to change in their recruitment decisions. In a section of this model, it has also analyzed, relation between income, investment, and consumption. Regular Philips model with derivative deals with first and second level of calculations, however this model has faced many weaknesses and deficiencies in economic cycle of Iran. Regarding its implementation in the economy of Iran, in this research, through substitution of Caputo fractional-order derivatives, we reach out “Philips model of Fractional-order”. Moreover, by numerical calculation of resulted equations and using Maple software, we over reach to Philips curve of Fractional-order in multiple various orders. According to achieved results, this model highly depends on derivation orders and different outcomes will be acquired through various derivation orders. Acquired model in the economy of Iran (situational format in Sugar and Sugar cube Industries) has been studied through phasic technic which proves meaningfulness of relations between variables of the model.

Domestic pharmaceutical industry, as one of the strategic high-technology industries, has a significant impact on individuals’ health. Despite its success in providing maximum medicine domestically, the industry, with its more than 110 active manufacturing companies in the form of semi-governmental holdings, private companies, and agile knowledge-based companies, faces challenges at the policy and operational levels. The challenges, situations, and some strengths of the industry would be identified in the present study using the scientific research method. To identify and review the challenges and status and also to explain the improvement strategies, in-depth interviews with 8 experts in the pharmaceutical industry in senior management positions in the manufacturing industry, regulators, and related syndicates planned and qualitative content analysis method using MAXQDA 2020 software platform applied to identify the challenges, situations, and strengths of the industry. According to the qualitative content analysis, challenges related to inappropriate policy-making, limited financial resources, and inappropriate pricing policies in the industry have been identified as the most important obstacles versus industry development, and on the other hand, the maximum supply of medicine in the country, appropriate knowledge  base and desirable quality of some products are listed as strengths of the industry. Efforts to reform macro policies and industry strategies at the policy and regulatory levels, including private sector development, commitment to quality improvement, and the development of new pricing methods, are among the most important future solutions to cope with the challenges of the industry.

This research aims to investigate the effect of conservative reporting on the investors' opinion divergence at the time of earnings announcement in a 5 year period during 2012-2016; the required data have been collected from Tehran Securities and Stock Exchange Organization and the population is consisted of 585 corporates-years which have been selected by the systematic removal sampling. To investigate the research hypotheses, linear regression and correlation were used and to analyze data and test the hypotheses, Eviews software has been utilized. In conclusion, it can be pointed out that the conservative measures are negatively related to the proxies of investors' opinion divergence at the time of earnings announcement and the relationship is stronger when the corporate reports bad news; also, conservation information content is stronger when the market is shocked by an announcement.Key words: Investors' opinion divergence at the time of earnings announcement, conservative reporting, bad news