ORIGINAL_ARTICLE
Pathology of Technology-Based Business in Iran in Terms of Economic Sanctions
Technology-based business (TBB) is the driving force of knowledge based economies. Accordingly, planning to improve the environment of TBB is an effective factor for the sustainable development in any country. However, due to economic sanction and inflation, in our country, TBB are the focus of various environmental challenges. Using a qualitative and practical approach, this study based on Fuzzy Delphi Method, investigated the pathology of national TBB environment in economic sanction. This study aims to find challenges from the sanction in front of national TBB for growth and development of their activities. The process led to extract and prioritize challenge of sanction on these businesses in direct negative and indirect negative impacts category. The study results are a preface to solve problems of TBB and strengthen national ability against sanctions.
https://www.oajre.ir/article_122186_05adc1586ab96ef96fee3fbd505678ad.pdf
2017-01-01
1
16
Technology-Based Business
Economic Sanction
Negative effects
Hussein
Fakhari
fakhari@fadakgroup.ir
1
Payame Noor University, Tehran , Iran.
LEAD_AUTHOR
Aliakbar
Jowkar
jowkar.aliakbar@gmail.com
2
Department of Management, Payame Noor University, Tehran, Iran.
AUTHOR
Mohammad Reza
Daraei
m.daraei12@gmail.com
3
Department of Management, Payame Noor University, Tehran , Iran.
AUTHOR
Abbasian, Ezzatollah, Moradpur Owladi, Mehdi, Mehrgan, Nader, (2012), "The Impact of Real Exchange Rate uncertainty on Economic Growth", Journal of Economic Studies, (98), pp. 153-172, (In Persian)
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Ajily H., Keshavarz E., (2014), “Impact of sanctions on Economic Development in Iran”, Journal of Rahbord Towseae, No36, pp. 54-71, (In Persian)
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Azar, A., Sadeghi, A. Kordnaeij, A, (2012), “Prioritizing the Factors Affecting High-Tech SME's Success - A Fuzzy Analytic Network Process (ANP) Approach”, Journal of Entrepreneurship Development, Vol, 2, 5th year, pp. 184-165, (In Persian)
4
Aziznejad, S., (2010), “Evaluation of the effects of sanctions on the Iranian economy with an emphasis on foreign trade, Magazine of House & Research, 16th year, No. 61, pp. 165-210, (In Persian)
5
Behbudi, D, Amiri, B. (2010) “the long run relationship between knowledge based economy and economic growth in Iran”, Journal of Science and Technology Policy, second year, No. 4, P.23-33, (In Persian)
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Bigdeli M. Gholami E. Tahmasebi F. (2013), “The effect of economic sanctions on Iran Trade”, Journal of Economic Research, No.48, p.109, (In Persian)
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Eltejaee Ebrahim, 2012, "Inflation, Inflation Uncertainty, Relative Dispersion of Prices and Economic Growth in Iran," Journal of Applied Economic Studies, (1), pp. 81-103, (In Persian)
11
Emadi M. (2012), “The impact of economic sanctions on human rights”, journal of Foreign Policy, No.101. p. 121, (In Persian)
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Husseiny Sh. (2013), “Iranian Economy in terms of sanctions”, Journal of Financial & Economic Policies, No.2 pp.5-20, (In Persian)
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Jentleson Brucew (2001), “Economic Sanctions and Post-Cold War Conflicts”, the National Academy of Science.
20
Karimi, F., Hassan pour, Y., (2011), “Studying the competitive effect of Iran’s Knowledge-Intensive Manufacture in the area of trade with Southeast Asia”, Journal of Economic Research and Policies, 19th year, No. 60, P. 99-112, (In Persian)
21
Lopez George and David Cortright, 1996, "The Sanctions Era: An Alternative to Military. Intervention" Translated by Ali Akbar Rezaei, Ministry of Foreign Affairs, Bureau of Political Studies.
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Massa, Silvia. Testa, Stefania " A Knowledge management approach to organizational competitive advantage: Evidence from the food sector", European management Journal, v.27, Iss.2, pg.129, 2009
23
Mehralizadeh, Y., Sajady, H., (2009), “A Study on the Determinants of the Entrepreneurs, Success in Small Enterprises”, Journal of Daneshvar, 16th year, No. 35, P. 43-58, (In Persian)
24
Memarnejad, A., (2005), “Knowledge Based Economy: Requirements, Indicators, Iran's Performance, Challenges and Policy Implications”, Quarterly Journal of New Economy & Commerce, No. 1, P.83-108, (In Persian)
25
Miremadi, T., (2011), “A Framework for Assessment of Sanction Defying Strategies in the Light of National innovation System Approach”, Journal of Science and Technology Policy, No.3 (4), P. 83-938, (In Persian)
26
Mohammad R. Mehregan, Hossein Safari, Parviz Naseri, Farshid Hosseini, Kumars Sharifi, (2004), “A Survey on US Economic Sanction Effects on Iranian High Tech Industries: Fuzzy Logic Approach” , Artificial Intelligence and Soft Computing - 7th International Conference, Zakopane, Poland, June 7-11, 2004. pp 1168-1174.
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Motaghi E. Taheri E. Esmaeeli M. (2010), “Effect of 19 resolutions on Iran's economy”, Journal of Defensive Policy, No.72, p. 9, (In Persian)
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Motaghi E. (2000), “Impact of economic sanctions on Iran's national security”, Journal of Politic Science, No.9, p. 4, (In Persian)
29
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30
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31
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32
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33
ORIGINAL_ARTICLE
Prioritizing Risk Treatments on a Given Subterranean Oil Pipeline Project Using Fuzzy Decision Making Technique
Following dangers limitation strategies to reduce incidence possibility, intensity traces, and increase assessment capability happens in oil and gas industries have kept on focus by managers. The scope of this project is choosing the most suitable cases which reduce expenses of risks in Ilam-Ahvaz transmit pipe line reparation project. Firstly, by using the three-point Delphi method, these were recognized the most criticism dangers, and then with the help of smarts’ ideas, several choices were identified against them, and finally based on fuzzy TOPSIS method, many preference strategies were introduced. Research results show that “preparation of article and equipment by go-betweens for risk prohibition”, “installation control valves for earthquake risk”, “quarrel resolve group prediction at the start of the agreement for deferment risk to resolve opponent pension cases”, “payment credit security of external stuff to change the amount of payment”, “amendment written safety recipes at the start of the project to explore and fire risks”, “ forecast for torrent and water eclipse”, are the most important policies that following them can cause noticeable reduction in crisis dangers.
https://www.oajre.ir/article_122187_24ded15e5fa98894903869fec6bd3f85.pdf
2017-01-01
17
33
Risk Reduction Strategy
oil and gas industries
TOPSIS Method
Phase Logic
Risk Reply Strategies
Nafiseh
Falahi
nafiseh_falahi1368@yahoo.com
1
Industrial Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran.
LEAD_AUTHOR
Farshid
Abdi
farshidabdi@azad.ac.ir
2
Department of Industrial Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran.
AUTHOR
Sadigh
Raissi
raissi@azad.ac.ir
3
Department of Industrial Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran.
AUTHOR
Hwang, C. L., & Yoon, K (1981), “Multi attribute decision making methods and applications: a state-of-the-art survey”, Berlin, Springer.
1
Chen, S. J., & Hwang, C.L (1992), “Fuzzy multiple attribute decision making methods and applications”, Berlin; New York: Springer-Verlage.
2
Zeleny, M., (1992), “Multiple Criteria Decision Making”, McGraw-Hill, New York.
3
Ben, D., & Raz, T (2001), “An integrated approach for risk response development in project planning”, The Journal of the Operational Research Society, 52(1), pp. 14-25.
4
Kujawski, E (2002), “Selecting of technical risk responses for efficient contingencies”, Journal of Systems Engineering, 5(3), pp. 194-212.
5
Yeh, C.H, & Deng, H (2004), “A practical approach to fuzzy utilities comparison in fuzzy multi-criteria Analysis”, International Journal of Approximate Reasoning, 35 (2), pp. 179-194.
6
Project Management Association (2005), “Book of project management body of knowledge”, version 2000- translators: Seied Hosein Osouli, Ali Bayat, Hosein Naseri, Ali Afkhami- Publishing Petrochemical company industries, Research and development of project management, first print(In Persian).
7
Wang, T. C., & Chang, T. H (2007), “Application of TOPSIS in evaluating initial aircraft under a fuzzy environment”, Expert Systems with Applications, 33(11), 870-880.
8
Fan, M., Lin, N., and Sheu, C (2008), “Choosing a project risk-handling strategy: An analytical model”, International Journal of Production Economic, 112(2), pp. 700-713.
9
Mubin, S., & Mubin, G (2008), “Risk analysis for construction and operation for gas pipeline projects in Pakistan”, Pakistan Journal of Engineering and Applied Science, Vol. 2, pp. 22-37.
10
Project Management Institute MI. (2008), “A guide to the project management body of knowledge (PMBOK Guide) (4ed.)”, USA: Project Management Institute Inc.
11
Smih, O., Selin, S., & Elif, I (2009), “Long term supplier selection using a combined fuzzy MCDM approach: A case Study for a telecommunication company”, Journal of Expert Systems with Applications, Vol. 36(2), pp. 3887-3895.
12
Wang, H., & Hsu, F (2009), “An integrated operation module for individual risk management”, European Journal of Operational Research, 198(2), pp. 610-617.
13
Derri, B., & Hamzei.A (2010), “Strategy appointment of risk reply in manager by ANP technic (case study: oil square development of Azadegan north”, Industrial management, second course, number 4, 75-92(In Persian).
14
Mirzai Chaboki, Mohsen (2009), “ Strategy edition for Chooka company and strategies ranking with phase Topsis technic”, Nourbakhsh, Seied Kamran, MSc thesis of Islamic Azad University, Central Tehran Unit, management college(In Persian).
15
Shahriari, A., Sadigh, R., & Tesfamariam S (2010), “Risk analysis for oil & gas pipelines: a sustainability assessment approach using fuzzy based bow-tie analysis”, Journal of Loss Prevention in the Process Industries, Vol. 25, pp. 505-523.
16
Ganguly, K., and Guin, K. K., (2013), “A fuzzy AHP approach for inbound supply risk assessment”, Benchmarking: An International Journal, 20.
17
ORIGINAL_ARTICLE
Investigation of Effective Factors on Bilateral Trade Costs of Agricultural Product (Case Study: Iran's Bilateral Trade with Developing Countries)
This study concerns with calculation of Iran's agricultural bilateral trade costs and major influential factors on it in Iran's Bilateral Trade with Developing countries group over the period 1995-2010. Main findings reveal that over the period 1995-2010 weighted average of agricultural trade cost with developing partner has declined by 44 percent. This reduction, however, was greater for UAE and Brazil from developing countries. Based on estimated regression, agricultural bilateral trade costs with distance, bilateral tariff rate and lag of agricultural bilateral trade costs variables are positively related whereas island and adjacency variables have the opposite effect on Iran s agricultural bilateral trade costs. Finally based on results is suggested that for increasing power contest of export, agricultural products must be destined based on trade costs.
https://www.oajre.ir/article_122188_dd00b241e1108fc199b2b4f8bf0d9727.pdf
2017-01-01
34
43
Bilateral Trade Costs
Gravity
Agricultural products
panel data
Mitra
Jalerajabi
mitra_jalerajabi@yahoo.com
1
Agricultural Economics Department, College of Agriculture, Tehran Science and Research Branch, Islamic Azad University, Tehran. Iran.
LEAD_AUTHOR
Reza
Moghaddasi
moghaddasireza@yahoo.com
2
Agricultural Economics Department, College of Agriculture, Tehran Science and Research Branch, Islamic Azad University, Tehran. Iran.
AUTHOR
Amiti M and Javorcik BS (2008). Trade costs and location of foreign firms in China, Journal of Development Economics 85 (2008) 129–149.
1
Anderson J (1979). A Theoretical Foundation for the Gravity Equation. American Economic Review 69, pp. 106-116.
2
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3
Anderson J and Van Wincoop E (2004). Trade Costs. Journal of Economic Literature 42, pp. 691-751.
4
Broda C and Weinstein D (2006). Globalization and the Gains from Variety. Quarterly Journal of Economics 121, pp. 541-585.
5
Chen N and Novy D (2011). Gravity, Trade Integration and Heterogeneity across Industries. Mimeo, University of Warwick.
6
Duan S and Grant J H (2012). Agricultural Trade Costs: 1965-2010. Selected Paper prepared for presentation at the Agricultural &Applied Economics Association’s 2012 AAEA Annual Meeting, Seattle, Washington, August 12-14, 2012
7
Hoekman B and Nicita A (2011). Trade Policy, Trade Costs, and Developing Country Trade. World Development Vol.39, No.12. pp. 2069-2079.
8
Miroudot S, Sauvage J and Shepherd B (2012). Trade Costs and Productivity in Services Secrors. Economics Letters. 114. pp. 36-38
9
Novy D (2012). Gravity Redux: Measuring International Trade Costs with Panel Data. CEP Discussion Paper 1114, pp. 1-27.
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Pinstrup-Anderson, P., Babinard. 2001. Nutrition. In shaping globalization for poverty alleviation and food security, ed. E. Diaz-Bonilla and S. Robinson. IFPRI 2020 focuses 8. Washington, D.C.: International Food Policy Research Institute.
11
Reimer JJ and Li M (2010). Trade Costs and the Gains from Trade in Crop Agriculture. American Journal of Agricultural Economics Advance Access published June 10, 2010
12
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13
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14