درخت حوزه‌های تخصصی

The main aim of this study is proposing an assessment model for evaluating the supply chain sustainability across the automotive sector. In this study, through reviewing the sustainability indicators in the economic, social, environmental, and governance pillars, the fuzzy Delphi is applied. Then, survey method is used to implement the model designed in CANFIS to evaluate the sustainability indicators. In this research, the proposed model was used for evaluating the sustainability in four pillars which is more inclusive than previous research. To improve the sustainability, it must be evaluated and measured so that after the improvement measures, the results are determined through measurement. According to the findings, it was concluded that the model designed in CANFIS was a reliable tool for assessing the sustainability .

One of the most necessary operations in humanitarian logistics is the distribution of relief goods to the population in disaster areas. When a disaster occurs, some parts of the distribution infrastructure may be damaged and consequently make it impossible to reach all the demand nodes and delivering the relief goods. In this study, we focus on the planning of infrastructure recovery efforts in post-disaster response. The problem is the scheduling of the emergency repair of a network that has been damaged by a disaster. The objective is to maximize network accessibility for all demand nodes in order to deliver relief goods to them. We adopt a dynamic programming algorithm to solve the problem when more than one crew group is available. Our numerical analysis of the solution shows the performance of the algorithm. We, also, compare our results with some similar studies to indicate the differences between one and multi-crew scheduling.

Purpose of this study is to provide a structured model for the development of social entrepreneurship in the higher education system of humanities post-graduate. According to the research purpose, theoretical framework was established with three main dimensions including needs and incentives, features and measures and the consequences of social entrepreneurship development. This model has been led to interview protocol. Then researcher done 10 interviews with experts by telephone, Skype and face-to-face methods. These interviews were then coding and recoding and the concepts and categories were extracted. Then, the relationships between the categories were adjusted based on the model derived from the literature. Then with using the confirmatory factor analysis and ISM and SEM techniques, the dimensions and components of the designed model were confirmed and structured.

The present study aimed to investigate the impact of supply chain innovation on performance through the mediating role of strategic agility. The statistical population of this research consists of all employees and managers of the food industry in Tehran. Necessary data were collected with a standard questionnaire from 70 food industry managers who were selected by simple and easy non-probability sampling. The least squares method and SMART PLS software were used to analyze the model. The results of testing the hypotheses indicate the positive effect of supply chain innovation on firm performance and the positive effect of supply chain innovation on strategic agility was also confirmed. Strategic agility also had a positive effect on firm performance.

The Iranian economy in recent years is due to the development of economic sanctions, a sharp decline in the price of oil and the deficit resulting from revenue - dependent on oil revenues and the trend towards tax revenues. While comparing the volume of the Iranian economy with the amount of tax income indicates the existence of a relatively significant tax gap. The tax gap is the difference between the collected taxes and the tax required by the law. The purpose of this study is to answer the question whether corporate governance is effective and strong on the relation between tax gap and future earnings changes? The statistical population of the research in Tehran Stock Exchange (TSE) firms and statistical sample consists of 120 companies in the period of 2007-2017. In order to test the hypotheses, multivariate regression using mixed data - data approach has been used. The results indicate that there is a significant inverse relationship between the tax gap and future earnings changes. It can be argued that increasing the difference between earnings accounting earnings can be associated with decreasing interest in the next year and less stability. On the other hand, significant positive relation between corporate governance is efficient and strong with future earnings changes. because corporate governance will ultimately lead to more sustainable future gains due to the decline of discretionary accruals in discretionary accruals. It is also reinforced by the effect of the tax gap on future earnings changes in firms that have efficient corporate governance, and this effect is only seen for a year later. And is not effective for the second and third years.