درخت حوزه‌های تخصصی

Resource allocation, as the main objective of managerial science, requires analyzing the long- and short-term effects of a policy, although this analysis would be more difficult in dynamic and volatile industries such as financial technology. Moreover, the integration of industries leads to more diverse product categories for a single company and makes it difficult for the implementation of decision making about resource allocation. In this regard, systemic PPM (PPM) models can be applied to balance long- and short-term generated values of the company by adopting policies about resource allocation for different products with respect to risk management concepts. The proposed systemic model should include interrelationships between different products, time relevant, and most importantly the potentials of dynamic analysis of product strategies, which is the main purpose of this research. The research strategy is to conduct a case study on the Iranian financial technology industry, by using systemic PPM modeling. In this research, a dynamic model was used in the payment industry, due to its competitive forces. Thus, system dynamics methodology was the research tool for analyzing data. Further, four cycles of risk management, resource allocation, innovation, and development were identified and then, analyzed in a dynamic approach to evaluating their efficiency for business development. Based on the results, the system dynamics methodology provided great outcomes for this problem. Finally, scenario analysis, focus, deep understandings of the decision-making process with respects to mental models, and stock and flow diagrams were among the most significant findings of this article.

Given the increasing importance of achieving low and stable inflation rate during the last decades, adopting the most suitable practices to implement monetary policies has always been of concern by monetary authorities of different countries. Inflation targeting (IT) regime is the most recent strategy to guide monetary policies that have been introduced following the occurrence of exchange rate targeting and monetary targeting problems. In this respect, in the present research, the performance of a number of IT countries versus that of the non-targeting ones was first investigated employing the difference in difference (DID) method. Then, considering monetary and oil shocks, IT performance in production gap in the economy of Iran was practically examined using smooth transition autoregressive regression (STAR) model. The Results indicated that implementation of IT policy was successful in applying the four main and most influential indicators in the production of treatment countries. In addition, it was revealed that variables such as IT, oil shock, and facility and exchange rates had a statistically negative effect on production shock in the economy of Iran. However, the monetary shock was found to have a statistically positive impact on production shock. Therefore, according to the findings regarding the successful performance of targeting countries, policymakers are recommended to implement IT policy during a long-term interval in order to stabilize it and also provide its prerequisites in the economy of Iran. JEL classification: E31, E58, E52.