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Knowledge Management Pattern for Project -based organizations using Grounded Theory (case study: Energy Industry) One of the most crucial strategic challenges of organizations for achieving success and competitive advantage is related to knowledge management (KM) activities .Project based organizations(PBO) of Energy Industry is responsible for producing , retaining and using huge amount of knowledge . In order to manage it effectively , it is necessary to use a customized KM pattern of which is fit into specific factors of the PBOs. The main objective of this paper is to present a customized knowledge management pattern considering PBO charachteristics of the under investigated Engery Industry by using Grounded Theory (GT). Needed information is gathered by semi-structured interview with experts and reviewing recent papers.By using open ,axial and selective coding,components of final model and their relations are found. Results showed nineteen main concept and five secondary concepts which are formed in “reasonal situations”,”intervention situations”,”strategies”, “central components” and “effects

Overconfident managers, who tend to overestimate their capabilities, underestimate the possibility and impact of side effects in projects. The purpose of this study is to review the effect of managerial overconfidence on research and development expenditures and the moderating effect of firm value and liquidity on this relationship. For this purpose 51 companies were chosen from oil/gas, and petrochemical Companies listed on the Tehran Stock Exchange over the period 2012-2017. This research, within three basic hypotheses, is analyzed by Eviews software and shows that managerial overconfidence has positive effect on research and development. Company liquidity has direct effect on relationship between managerial overconfidence and R&D, but firm value has no meaningful effect on the relationship between managerial overconfidence and R&D. <strong>Keywords</strong>: managerial overconfidence, R&D, liquidity, firm value

Today for installations management in equipment-based industries, such as oil and gas industry, the physical asset management development based on the ISO-55000 requirements is generally the most common issue in the world and particularly in Iran. Since this standard only expresses the requirements, many physical asset management excellence models have been designed by researchers or research institutes around the world to develop and strengthen physical asset management. Therefore, due to the diversity of models, organizations face problems of choosing a suitable model. Based on this issue, the main purpose and innovation of this work is evaluating and prioritizing popular and sometimes reference physical asset management excellence models according to 6 critical criteria based on DEMATEL and ANP techniques. Cost, risk, performance, sustainability, simplicity, and knowledge were identified as the critical criteria. First, 4 criteria were taken from the ISO-55000, and 2 critical criteria were then identified through interviewing oil and gas experts. The approach of this research is quantitative, and the method of data collection is descriptive-survey. Uptime, Institute of Asset Management (IAM), life cycle engineering (LCE), and asset integrity management (AIM) models are the main popular and/or reference physical asset management excellence models in the world. The finding shows that the IAM, LCE, AIM, and uptime models are respectively prioritized based on these critical criteria. <strong>Keywords:</strong> Physical Asset Management Excellence Model, ISO-55000 Standard Series, DMATEL, ANP

Iran, as the fifth country in the field of crude oil production and the second largest gas producer in the world, is apt to the growth and development of the petrochemical industry, as the largest exporter of non-oil products, has a significant role in economic prosperity. In this respect, considering the sanctions of recent years on the export of crude oil and the situations of selling crude oil, it is important to pay attention to this industry as an effective factor in circumventing the sanctions as well as currency appreciation. In this study, the factors affecting the supply of urea exports to the export destinations of the UAE, Turkey, China and India in the period 2001-2009 are examined and analyzed. According to the studies, the factors that have affected the supply of Iranian urea exports can be referred to as GDP of target countries, real exchange rate, exchange rate fluctuations, trade liberalization, price exchange relationship, refinery raw materials prices and sanctions as livestock variables. . In this study, the real exchange rate volatility index was estimated using the GARCH model and then the supply model of Iranian urea exports was estimated by ARDL pattern. According to studies, the variables of GDP and trade liberalization have a significant positive effect on the supply of Iran exports in the short and long term, but other variables have a significant negative effect on the supply of Iran exports in the short and long term.

Oil and Gas projects as are very complicated. A wide range of risks are included in oil and gas projects and contracts. Different aspects of risks can be addressed in a risk management process which assessment, efficient distribution and allocation of contractual risks are of a high importance. Many researches have studied the Project Risk Management in oil and gas industries with focus on legal and contractual risks aiming to reach to an optimal risk distribution which does not necessarily mean to have a complete contract. In this article with the goal of reviewing contractual risk allocation in Usance finance contracts, a thorough study has been done on related researches and then a complete review has been done on different contracts in Downstream petrochemical projects. Concentration on used risk management mechanisms in both cases and related risks shows severe issues and bugs in both contracts. Some contractual risks are not addressed at all and the case contracts are not balanced in the view of contractual risks distribution.

The present article aims to argue indirect expropriation in international petroleum agreements and to analyse the response of international arbitrations. In particular, international arbitral awards by the Iran-US Claims Tribunal, the Yukos case as an Energy Charter Treaty Arbitration and certain North American Free Trade Agreement cases have been examined. The recent trend shows that taking of foreign investors’ property may take place not only through legislation or nationalisation but also by indirect methods that can have the same effect as direct expropriation. Indirect expropriation does not necessarily require transfer of legal title from the international oil company to the host state. Hence, it is difficult to make a distinction between legitimate regulation and measures, which are tantamount to expropriation with the payment of compensation. The identification of an indirect expropriation is complex and depends upon the examination of the legitimate expectations of the investor concerning enjoyment of its investment. Host governments may employ different methods to achieve what amounts to direct taking, but without acknowledging it as such, to avoid legal consequences of expropriation and then payment of compensation.

For every organizational and project activity, decisions should be made to delegate necessary resources. The objective of the current paper is to assist the oil and gas managers in aligning each functional level of strategy to make decisions on resource delegation. This can be conducted by creating a synergy which increases organizational performance. The methodology used in this research is based on a case study on Iran’s South Pars oil and gas zone. The purpose of the present work is to find the alignment pattern classified on social structuralism domain. This study is explanatory, qualitative, and developmental since it applies the fuzzy set theory to measurements. Presented herein is a comprehensive model according to the systematic and scientific approaches in the field of management. The main purpose of this model is to create organizational strategy alignment in severe environmental conditions and in the presence of external economic sanctions in South Pars oil and gas projects. The statistical society included in this study were the managers and CEO’s who had in-depth experience in South Pars projects for more than five years. Since the number of the managers were 43, the possibility of data gathering allowed for not using the sample size. The results show that by increasing strategic alignment (SA) among strategy functions, structure, human resource, and technology, the level of organizational performance rises, and the fuzzy model of SA leads to better statement reality.       <strong> </strong>

Today, management requires a new approach in the areas of production planning and operations process with a cost management approach. Organizations and industrial units to lead their lives, by recognizing the impact points of the challenges ahead and positive impact, guide and lead them to advance the goals of the organization. Economic dispatching with particle swarm optimization algorithm approach is an approach in the field of industrial units. Dispatching tries to determine the share of production capacity in a way that optimizes the overall performance of the system economically and improve system performance, including: production and process planning, supply and demand balance, cost management, productivity growth, optimal allocation of resources according to the capacity of tanks, formulation of production and operational strategies, the impact on the strategic vision document. In this research, an attempt has been made to perform economic dispatching with the approach of particle swarm optimization algorithm with hypothetical information to measure the feasibility of implementation and its impact on the overall performance of the system and production process and operations.

This applied research carried out to identify the main and secondary components affecting organizational agility in the University of Petroleum Industry in Iran. In the qualitative section, by reviewing the researches and using a designed questionnaire, 13 hypotheses affecting the organizational agility of the University of Petroleum Industry have been evaluated. The statistical population includes 229 experts working in Ahvaz, Abadan, Tehran and Mahmoudabad colleges. According to the recommended results, out of 42 identified sub-components, 39 components have been confirmed as well as all 13 main hypotheses. The results show that the main effective components with organizational agility followed as organizational agility, human resource value creation, organizational leadership, strategic agility of managers, ICT management, training and empowerment of faculty and staff, establishing knowledge management, strengthening university infrastructure and university culture. It should be noted that SMART PLS software and partial squares technique were used to evaluate the hypotheses verification and recommended solutions.

This paper aims to show the asymmetric effect of oil shocks on Iran’s economy. It uses nonlinear time series models to investigate the asymmetric effect of oil shocks on resource allocation in Iran’s economy. The results show that adverse oil shocks have been more persistent during the last decades and severely negatively affect resource allocation in Iran’s economy. Different oil shocks have different implications for importing and exporting countries, and the rigidity of state fiscal systems in exporting countries causes adverse oil shocks to be more persistent. The oil economy’s response to positive and negative oil shocks depends on the structure of the economy. The government budget and trade balance have significant implications for the effects of oil shocks on oil-exporting economies. The government budget is highly dependent on oil revenues, so in the case of adverse oil shocks, the pass-through exchange rate will cause high inflation because of foreign exchange shortage and overshoot in the exchange rate.