فهرست مطالب abotorab alirezaei

The purpose of this article is to model a synergistic valuation of integration and acquisition using Monte Carlo simulation and real option approach. Today, global competition has increased so much that relying on the firm's internal performance and strengths alone does not sustain and grow companies. With group synergy, they stand up against the threats of a competitive environment. In this paper, after describing the real discretion analysis method and its variants, we introduce the problem of stochastic optimization and Monte Carlo simulation in the period of 2009-2019. In this study, Monte Carlo simulation method is used to solve the problem numerically. The results of the estimation of the research model indicate that integration is a kind of growth in the activities and activities of the company that makes the activities of the company more diversified, including the strategies of companies to increase their competitive position and It is considered an important and strategic decision in financial management. The results indicated that both increased costs and revenue led to an increase in NPV of total synergies. The results also showed that the synergy of growth and improvement in corporate taxation led to an improvement in the synergy of borrowing, which increased the net present value of total synergy.

The purpose of this research is to model the supply chain in the conditions of uncertainty from the point of view of Jihadi management. In this research, the modeling of the parameter after the crisis has been done.The importance and position of Jihadi management's view regarding critical conditions is one of the things that was considered in this research. In order to identify the weaknesses and bugs of the existence, from the point of view of the elite group with jihadi management in the field of cement industries, interview tools and content analysis technique for 7 people has been used.For the implementation of the model in larger dimensions, genetic algorithms, particle swarm optimization and simulation cooling were used, and according to the results of the implementation of the algorithms for different dimensions, the genetic algorithm has a higher quality.The reason for examining the role of jihadist management in this process is that in the conditions of uncertainty, the existence of a jihadist thought leads to effective decisions.Since Jihadi management perspective has been used in this research, this model can be designed and implemented in various industries where the time factor is important, and the appropriate supply chain in critical situations.

The main purpose of the present research is to provide a model for the effect of uncertainty about the inflation rate and more trust of managers on the increase in investment. This research is considered to be a practical part of the research. Also, this methodology is post-event research. On the other hand, the present study is of descriptive survey type correlation based on regression equations. The statistical population of this research includes all financial distressed companies listed in Tehran Stock Exchange between 1390 and 1396. Considering the systematic constraints, the statistical sample of 122 firms among the companies accepted in Tehran Stock Exchange Selected and studied. The results of the analysis showed that in the uncertainty of inflation conditions, the level of double investment of companies is not increased. Also, the results showed that the uncertainty of inflation does not reduce the trustworthiness of corporate managers. On the other hand, the results show that managers with a higher level of trust are more interested in investing twice. Finally, under the uncertainty of inflation, managers with a higher level of trust than those with lower confidence, do not pay more double investment.

The aim of this study is to propose a comprehensive performance evaluation model with emphasis on service performance metrics in the service-product supply chain rather than the production supply chain in the home appliance industry and using neural-fuzzy networks for performance evaluation. The present study is typically a descriptive-exploratory research with survey approach in which, data analysis has been conducted using quantitative method and exploratory and confirmatory factor analysis. For the purpose of this study, a sample of 58 home appliance companies has been selected and Smart-PLS, SPSS and Matlab software have been used for data analysis. Findings indicated 10 main constructs and 29 performance criteria obtained for evaluating the performance of service supply chain and fuzzy neural networks of several home appliance companies.

Based on predictions, services are a key component of the growth of the global economy in future (Arnold et al. 2011). Acording to Jane and Kumar (2012), services play a critical role in a supply chain. Also, according to Wang et al. (2015), a "product" or "service" must exist in each supply chain which is produced by the upstream sectors and delivered to downstream. Recently due to increasing customer expectations, companies’ competition has been replaced by the supply chains competition and as a result, competition has been increased in the simultaneous supply of products and services. This has led to challenges in integrating companies and in coordinating the materials, information and financial flow that were previously overlooked. Accordingly, a new managerial philosophy has been developed known as Product-Service Supply Chain (PSSC) (Stanley & Wisner, 2002). This study seeks to develop a performance evaluation model for the product-service supply chain in the home appliance industry, which is finally solved using Adaptive Neuro-Fuzzy Inference System (ANFIS).

In this paper, performance evaluation constructs and criteria of service supply chain are identified by reviewing the literature and exploratory and confirmatory factor analysis and then, the performance evaluation of service supply chains in Iran's home appliance industry has been performed using these constructs, criteria and ANFIS.
Findings and

Based on the findings, ten main extracted constructs can be suggested for the performance evaluation of the supply chain. They include "Operational Performance (OP)", "Strategic Performance (SP)", "Financial Performance (FP)", "Performance of Information and Communication Technology (PICT)", “Return Performance” (REP), “Risk Performance (RIP)”, “Logistic Performance (LP)”, “Market Performance (MP)”, “Internal Structure Performance (PIS)” and “Growth and Innovation Performance (PGI)”, among which, the Strategic Performance (SP) and Return Performance (REP) are the most important and the least important constructs, respectively.

Based on the findings, the following practical recommendations are suggested to the companies:Enhancing the demand forecasts performance and utilizing more appropriate methods and software to improve forecasts in demand and order management areas.Improving the return management status by increased attention and more investment in return management processes. Effective investment in service development management to enhance the R&D services performance.Utilizing risk management approaches and methods to identify and take preventive actions on the risks in the companies’ service supply chain.