مطالب

The aim of the current research is to explore a strategist developing model based on a mixed method for National Iranian Oil Company. This study is an exploratory and applied research, and it methodologically uses mixed methods. In the qualitative part, which is based on a data theory approach, the required data were gathered by means of semi-structured interviews. The participants involved in the study were 24 industrial and academic experts. After collecting the data, they were encoded, and necessary measurements were then taken to determine dimensions, main categories, subcategories, and relevant concepts related to our coding system. Having gained a coded table which was pivot and selective, finally, the goodness of the fit of the paradigmatic research model was developed (n=320). Quantitative analyses were performed by means of SPSS 24 and Lisrel 9.30 software. The qualitative findings of this study included 11 main categories, 24 subcategories, and 98 concepts. The concepts which were related to development strategists included causative factors (individual factors, organizational factors, and discourses); the category of central strategic thinking (conceptual and organizational thinking, foresight, and philosophical attitudes); obstructive factors (both inter organizational and intra organizational factors); contextual factors (cultural context, psychological factors, and organizational independence); strategies to identify the talents, to attract them, and to retain them; the outcomes of the establishment of monitoring system; strategic thinking; and the process of developing experts in our oil company. Our findings resulted in discovering a pattern to develop experts in oil industry.  

Expanding use of renewable energies (RE) around the world is a critical mission to reach to global environmental policies. Largest share of global energy mix relates to deployable and carbon-intensive fossil fuels. So, it is necessary to create proper incentives for investors to invest in RE in order to move toward low carbon economy. In this regard, one of the implemented policies is imposing tax on using deployable energies which includes tax on both energy consumption and motor vehicle transportation. This paper investigates impact of environmental tax policy on investors’ behavior for 13 leading selected developed and developing countries during the period 2004-2016. Based on economic theory, investment, particularly in capital-intensive energy industries would have a long gestation period. To capture this feature and evaluate dynamic relations of investments in RE, a partial-adjustment dynamic model is applied and estimated using Generalized Method of Moments (GMM) method. The results show that imposing tax on fossil fuel energy consumption and transportation systems, in particular that use fossil fuels, has a significant negative and positive impact on investing in RE, respectively. Also, empirical results demonstrate that there is a significant negative relation between interest rate (IR) and Investments in Renewable Energies (IRE).

Discovering important nodes in graph data attracted a lot of attention. Social networks are good examples of graph data in which each node represents a person and each edge represents a relationship between two people. There are several methods for the task of discovering important nodes in graph data. In this paper, important people are defined with their roles in society or organization. We propose an efficient method to discover leaders in graph network. For this purpose, both structural feature like entropy and inherent features including from, to, subject and message's time of social networks are used to propose a novel method for discovering important nodes in social networks. The proposed method was applied to Enron dataset and compared with previous methods. The proposed method succeeded to first, discover more important roles in Enron dataset, second, determine CEO as leader of Enron Corporation and third, discover two out of four CEOs among top VIPs.

In this paper, we describe our proposed methodology for constructing an ontology of natural language processing (NLP). We use a semi-automatic method; a combination of rule-based and machine learning techniques; to construct and populate an ontology with bilingual (English-Persian) concept labels (lexicon) and evaluate it manually. This methodology results in a complete ontology in the natural language processing domain with 1333 classes (containing concepts, tools, applications, etc.), 88 object properties, and 2437 annotation assertions for different classes. The built ontology is populated with about 428K NLP related papers and 38K authors, and also about 5M "is Related to" relations between papers and ontology classes and 1M "is Author of" relations between papers and authors. The evaluation results show that the ontology achieved a good result. The instantiation is done to enable applications find experts, publications and institutions (such as universities or research laboratories) related to various topics in NLP field.

Search for and gaining the meaning in life and attaining the perfection had been the primordial motive of human creation. The main reason for manifesting vacuum feelings in human is the crisis of lack of spirituality. Nowadays, human beings are seeking to mean of life and are searching for something more than materiality; because with the modern and advanced technology, the dissatisfaction with life and the sense of daily routine motivates him to discover the cause and the way out of the crisis. Understanding the meaning of life and obtaining satisfaction requires the use of spiritual intelligence and will not be achieved through rational and emotional intelligence solely. In this article, we studied the various dimensions of spiritual intelligence and presented the best model for spiritual intelligence. Then, according to the literature, the impact of tourism on the human was also studied. The results of the content analysis indicate that tourism and travel are effective factors in enhancing the components of spiritual intelligence and, as a result, the promotion of spiritual intelligence, and consequently they will increase the perception of spirituality in life.