ORIGINAL_ARTICLE
Financial Performance Evaluation of the Gas Distribution Companies of National Iranian Gas Company
The purpose of this study is to evaluate the financial performance of provincial gas distribution companies as affiliates for National Iranian Gas Company. To this end, we identified financial performance indicators in accordance with the requirements of NIGC through a review of theoretical foundations and interviews with a number of financial and planning experts and then prioritized using the Analytical Hierarchy Process method. These indicators lied in four groups of liquidity, capital structure, profitability and activity criteria, respectively. Then, the weighted indicators were analyzed using TOPSIS technique in Expert-Choice software and the final ranking of the companies was provided. The results showed that based on the identified criteria, provincial gas companies of Hormozgan, Yazd, Markazi, and Kermanshah had a favorable financial performance and Ilam, Mazandaran, Chaharmahal and Bakhtiari and Zanjan provincial gas companies had a weak financial performance with respect to other companies in three years under review and some suggestions have been made in this regard.
https://pbr.put.ac.ir/article_91317_226b4c34d42f5626d355d052af808457.pdf
2018-05-01
2
13
10.22050/pbr.2018.91317
Performance Evaluation
Financial Ratios
AHP
TOPSIS
liquidity
NATIONAl IRANIAN GAS COMPANY (NIGC)
Seyed Mohammad
Javadi
javadi@put.ac.ir
1
Accounting Department, Tehran Faculty of Petroleum, Petroleum University of Technology
LEAD_AUTHOR
Ali Mohammad
Ghanbari
aganbari@put.ac.ir
2
Accounting Department, Tehran Faculty of Petroleum, Petroleum University of Technology
AUTHOR
Arsalan
Anisi
anisi.arsalan@gmail.com
3
Department of Accounting and Finance, Tehran Faculty of Petroleum, Petroleum University of Technology,Tehran, Iran.
AUTHOR
Andrea, R., 2002. Financial performance analysis and bankruptcy prediction in Hungarian dairy sector. The annals of the University of Oradea, p.936.
1
Asadi, K. and Kiani Nejad, A., 2013.Reviewing financial performance criteria in Tehran stock exchange companies. Journal of accounting knowledge and research, 39, pp. 43-61.
2
Bayrakdaroglu, A. and Yalcin, N., 2012. Strategic financial performance evaluation of the Turkish companies traded on ISE. Ege academic review, 12 (4), pp.529-539.
3
Beikkhakhian, Y., Javanmardi, M., Karbasian, M., and Khayambashi, B., 2015. The application of ISM model in evaluating agile supplier's selection criteria and ranking suppliers using fuzzy TOPSIS-AHP methods. Expert Systems with Applications, 12, pp.6224-6236.
4
Bowlin, W.F., 1999. An analysis of the financial performance of defense business segments using data envelopment analysis. Journal of Accounting and Public Policy, 18(4-5), pp.287-310.
5
Broad, M.J. and Javadi, S.M., 2009. Modelling a successful performance measurement system. In first conference on Executive MBA.
6
Browne, S., Dongarra, J., Garner, N., Ho, G. and Mucci, P., 2000. A portable programming interface for performance evaluation on modern processors. The international journal of high performance computing applications, 14(3), pp.189-204.
7
ChengWu, Y., Kiong Ting, I., Luc, W., Nourani, M. and Long Kwehe, Q., 2016. The impact of earnings management on the performance of ASEAN banks. Journal homepage: www.elsevier.com/locate/ecmod, Economic Modelling, 53, pp.156–165.
8
Cheng, C.H., Chen, C.T. and Huang, S.F., 2012. Combining fuzzy integral with order weight average (OWA) method for evaluating financial performance in the semiconductor industry. African journal of business management, 6(21), p.6358.
9
Cravens, K., S., Oliver, E., G., Stewart, J., S., 2010.Can a positive approach to performance evaluation accomplish your goals. Kelley School of Business, 53, pp. 269-279.
10
Delen ,D., Kuzey,C. and Uyar,A., 2013. Measuring firm performance using financial ratios: A decision tree approach. Expert systems with applications ,40, pp. 3970–3983.
11
Feroz E.H. , Kim S., Raab R.L.,2003. Financial statement analysis: A data envelopment analysis approach. Journal of the operational research society, 54, pp. 48-58.
12
Goly Ayask, M., and Dehdar, F., 2015. Evaluation of the financial performance of urban water and wastewater industry based on BSC model. Water and wastewater, pp. 31-41.
13
Halkos, G. E., Salamouris D.,2004.Efficiency measurement of the Greek commercial banks with the use of financial ratios: a data envelopment analysis approach. Management accounting research, 15, pp. 201-224.
14
Iran Energy Exchange. 2013. Energy consumption report. Research and development and risk studies department.
15
Kennerley, M. and Neely, A., 2002. Performance measurement frameworks: a review. Business performance measurement: Theory and practice, pp.145-155.
16
Keung Tam F.,2000. A study of the relative stock market pricing efficiency in several industries, using data envelopment analysis. Masters of applied science dissertation, The University of Toronto, pp12-154.
17
Khajavi, S., Fatahi Nafchi, H. and Ghadirian Arani, M., 2018. Ranking and evaluation of financial performance of selected industries of Tehran stock exchange using fuzzy combined model - AHP-Vicon; case study: company's pharmaceutical industry, basic metals and automotive and parts, Audit knowledge, 15(60), pp. 25-46.
18
Latham, G. P., Locke, E. A., and Fassina, N. E. 2002. The high performance cycle: standing the test of time. Psychological management of individual performance, pp.201-228.
19
Lee, P.T.W., Lin, C.W. and Shin, S.H., 2012. A comparative study on financial positions of shipping companies in Taiwan and Korea using entropy and grey relation analysis. Expert systems with applications, 39(5), pp.5649-5657.
20
Mohammadi A., 2007. Application of mathematical planning technique for analyzing the financial statements of pharmaceutical companies. Special articles database of noor,50, pp. 117-136.
21
Opricovic, S. and Tzeng, G.H., 2004. Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. “European journal of operational research“, 156(2), pp.445-455.
22
Panahian, H., 2003. Application of economic value added in financial decision making. Capital magazine, 3(3), pp12-18.
23
Ross, S.A., Westerfield, R. and Jaffe, J.F., 2014. Corporate finance. Homewood: Irwin.
24
Safaei Ghadikalaei, A. and Khalili, S., 2014. Evaluation of financial performance of companies active in Tehran stock exchange by applying multi-criteria decision-making techniques. Journal of management executive, 7(14), pp. 54-71.
25
Taghizadeh R. and Fazli, S., 2011. Corporate performance measurement method using combined analysis of gray relationships and fuzzy TOPSIS. Industrial management outlook,2, pp. 150-125.
26
Talebzadeh, S., 2011. Using grey principal component analysis approach in evaluating the financial performance of the factually of economics. Management and social sciences, pp.55-68.
27
Worthington A., 1998. The application of mathematical programming techniques to financial statement analysis: “Australian gold production and exploration. Australian journal of management, 23(1), pp. 97-113.
28
ORIGINAL_ARTICLE
Designing a Specific Model for Technology Transfer in the Oil, Gas and Petrochemical Sector
Technology Transfer is a process which technology supplier can transfer technology to receiver through it by numerous activities. Now in Iran, lots of companies are facing difficulties in correct implementation of technology transfer. Varying complexity and specific nature of each of the technologies has been caused many problems to technology transfer process design. In the other hand, the lack of integration between the components of the technology transfer process and the lack of consistency in the way of transferring with the company's strategies has been caused additional difficulties. In this paper, we have attempted to design the model of technology transfer process in the Oil, Gas and Petrochemical industry which includes three stages of " decision making, technology transfer and acquisition the knowledge".The model is derived from the literature survey and is developed based on the experiences with adding necessary elements in order to resolve the problems. In order to validate the model, it is used for DMD technology transfer in RIPI.
https://pbr.put.ac.ir/article_91322_04ad3ebecac972b39b9ad945f3cfb9b5.pdf
1999-11-30
14
27
10.22050/pbr.2018.91322
strategy
Decision Making
Technology Package
Technology Transfer
Catching up
Ahmad
Mousaei
mousaei@gmail.com
1
Research Institute of Petroleum Industry (RIPI)
LEAD_AUTHOR
Khayyat, N. T., & Lee, J. D., A measure of technological capabilities for developing countries. Technological Forecasting and Social Change, 92, 2015, 210–223.
1
Damijan, J.P. and Knell, M., ‘How important is trade and foreign ownership in closing the
2
technology gap? Evidence from Estonia and Slovenia’, Review of World Economics, 14(2), 2005, 271–295.
3
Steenhuis, H-J., de Bruijn, E.J. and Heerkens, H., ‘Technology transfer and catch-up; Lessons from the commercial aircraft industry’, Int. J. Technology Transfer and Commercialisation, 6(2/3/4), 2007, .250–278.
4
Juan Jesus Arenas, Domingo González, "Technology Transfer Models and Elements in the University-Industry Collaboration", administrative sciences, Adm. Sci. 2018,8,19.
5
Satyabrata Sahu, "Guidelines for Preparing a Technology Transfer Agreement", Asian and Pacific Centre for Transfer of Technology (APCTT) of the United Nations Economic and Social Commission for Asia and the Pacific (UN ESCAP) in New Delhi, India, APCTT-CSIR Workshop on Technology Commercialization and Transfer, November 2017
6
Back, L., Kovaleski, J., Junior, A., Technology strategies: the influence of technology transfer and audit technological in the furniture industries in southern Brazil, 2013.
7
Victor Gilsing, RudiBekkers, IsabelMariaBodasFreitas, MariannevanderSteen, "Differences in technology transfer between science-based and development-based industries: Transfer mechanisms and barriers", 2011, Technovation 31 (2011) 638–647.
8
Khaill, Tarek M Roshartini Omar, Roshana Takim, Abdul Hadi Nawawi, " The Concept of Absorptive Capacity in Technology Transfer (TT) Projects", 2011 International Conference on Intelligent Building and Management.
9
Fang, E. A., Wu, Q., Miao, C., Xia, J., & Chen, D., The impact of new product & operations technological practices on organization structure. International Journal of Production Economics, 145(2), 2013, 733–742.
10
Dr. Farhad Simyar, Dr. Louis Osuji, Strategic Planning for Academic Administrators; Panning in a College of Business: The case of Nikita College of Business, Journal of Academic Administration in Higher Education, Fall 2015 (Volume 11 Issue 2)
11
IGOR PRODAN, TECHNOLOGICAL ENTREPRENEURSHIP: TECHNOLOGY TRANSFER FROM ACADEMIA TO NEW FIRMS, DOCTORAL DISSERTATION AT UNIVERSITY OF LJUBLJANA FACULTY OF ECONOMICS, 2007
12
Gilbert, A.Lee, Negotiating technology acquisition: getting the tools you need to succeed, Nanyang technology university, 1995.
13
Pietrobelli, C., Technology transfer for developing countries. In Technology Transfer (pp. 209–234). 2018, Taylor and Francis.
14
Ghazinoori, Seyyed Reza, Strategies and trends for commercialization and marketing of high technologies Case study: Nanotechnology in Iran, 2nd Management of Technology Iranian Conference, 2005.
15
R.Bandarian, 2005, Enablers of Commercialization in Research Organizations, proceeding of International Management Conference 2005, Sharif University of Technology.
16
[Ravi K.Jain, Andrew O. Martyniuk, Melinda M. Harris,Rachel E. Niemann and Karin Woldmann Evaluating the commercial potential of emerging technologies, Int. J. Technology Transfer and Commercialization, Vol.2, No.1,2003, pp.32-50.
17
ORIGINAL_ARTICLE
The Effect of Petrochemical Industry on Relationship between Information Asymmetry about Investment Risk and Financing Choice
Though it is generally accepted that information asymmetry has an impact on capital structure policy, the nature of the information asymmetry is not well understood. Recent theoretical works and empirical evidences suggest that financing choice depends upon the information asymmetry about investment risk of the particular use of funds (Halov & Heider, 2012) (Rao, Mohanty, & Baxamusa, 2015). Consistent with this view, we analyzed the data gathered among 199 companies listed in Tehran Stock Exchange during 2009-2016 by The Multiple Linear Regressions in order to test research’s hypotheses have been applied. We also examined the influence of Petrochemical industry on that relationship. The findings show that equity is used to fund projects with greater information asymmetry about their risk such as intangible assets and capital expenditure, while debt is used to fund investments with lower information asymmetry about their risk such as liquidity enhancement. We also found that the membership in petrochemical industry has no effect on the intangible assets and cash holding’s financing method, but concerning with capital expenditure and working capital the impact is significantly negative.
https://pbr.put.ac.ir/article_91318_16fa1f800bcb7b5b7c14a1db3eb17f4a.pdf
2018-05-01
28
37
10.22050/pbr.2018.91318
Information Asymmetry
Capital structure policy
Petrochemical industry
Multiple regressions
Abbas
Alimoradi
alimoradi@put.ac.ir
1
Accounting Department, Tehran Faculty of Petroleum, Petroleum University of Technology
LEAD_AUTHOR
Najme
Rajabdorry
najme.dorri@yahoo.com
2
Accounting Department, Tehran Faculty of Petroleum, Petroleum University of Technology
AUTHOR
Abbott, K., Apostolik, R., & Goodman, G. (2009). Foundation of Energy Risk Management: An overview of the energy sector and its physical and financial markets.
1
Ambarish, R., John, K., & William, J. (1987). Efficient Signaling with Dividends and Investments. Journal of Finance, 42(2), 321–344. Retrieved from http://onlinelibrary.wiley.com/doi/10.1111/j.1540-6261.1987.tb02570.x/full
2
Booth, L., Aivazian, V., Demirguc, A., & Maksimovic, V. (2001). Capital Structures in Developing Countries. The Journal of Finance, 56(1), 87-130.
3
Chang, Wong, G., & Yao, J. (2014). Cash Flow Sensitivities and the Allocation of Internal Cash Flow. Review of Financial Studies, 27, 3628–3657.
4
DeAngelo, H., & Stulz, R. (2010). Seasoned Equity Offerings, Market Timing and Corporate Lifecycles. Journal of Financial Economics, 95, 275–295.
5
Fama, E. F., & French, K. R. (2002). Testing Trade-Off and Pecking Order Predictions About Dividends and Debt. Review of Financial Studies, 15(1), 1–33.
6
Fama, E. F., & French, K. R. (2005). Financing decisions: who issues stock? Journal of Financial Economics (76), 549–582. Retrieved from http://www.sciencedirect.com/science/article/pii/S0304405X04001849
7
Farhoudi.P. (2009). Investigating Capital Structure factors in Companies Listed in Tehran Stock Exchange. Tehran: MA thesis of Accounting, Faculty of Economics and Accounting, Islamic Azad University, Tehran Central.
8
Frank, M., & Goyal, V. (2008). Profits and Capital Structure. AFA 2009 Meetings paper, SSRN Abstract No. 1104886.
9
Fulghieri, P., & Lukin, D. (2001). Information Production, Dilution Costs, and Optimal Security Design. Journal of Financial Economics, 61, 3–42.
10
Gujarati, D. (2008). Basic Econometrics.
11
Halov, N., & Heider, F. (2012). Capital Structure with Asymmetric Information about Value and Risk: Theory and Empirical Analysis. Quarterly Journal of Finance, 50-62.
12
Heydari.O, P. (1995). Investigating the Factors that Determine Companies' Taxes in Tehran Stock Exchange. Tehran: Master thesis of Tehran University.
13
Kim, W., & Weisbach, M. (2008). Motivations for Public Equity Offers: An International Perspective. Journal of Financial Economics, 87, 281–307.
14
Leary, M., & Roberts, M. (2010). The Pecking Order, Debt Capacity, and Information Asymmetry. Journal of Financial Economics, 95, 332–355.
15
Myers, S., & Majluf, N. (1984). Corporate Financing and Investment Decisions when the Firms Have Information that the Investors Do Not Have. Journal of Financial Economics, 13, 187–221.
16
Neamtiu, M., Shroff, N., White, H., & Williams, D. (2014). The Impact of Ambiguity on Managerial Investment and Cash Holdings. Journal of Business Finance & Accounting, 41, 1071–1099.
17
Pulvino, G., & Tarhan, V. (2010). The Interdependent and Intertemporal Nature of Financial Decisions: An Application to Cash Flow Sensitivities. Journal of Finance, 65, 725–763.
18
Rajan, R., & Zingales, L. (1995). What Do We Know about Capital Structure: Some Evidence from International Data. Journal of Finance, 50, 1421–1460.
19
Rao, R. P., Mohanty, S., & Baxamusa, M. (2015). Information Asymmetry about Investment Risk and Financing Choice. Journal of Business Finance & Accounting, 1-18.
20
Wu, X., & Wang, Z. (2005). Equity Financing in a Myers-Majluf Framework with Private Benefits of Control. Journal of Corporate Finance, 11(1), 915–945.
21
ORIGINAL_ARTICLE
Calculating Commission Fee for the Distribution of Gasoline and Gas Oil by Private Sector in Iran: A Proposal for Restructuring Iranian Petroleum Products Market
Currently, distribution of various types of petroleum products is performed exclusively by the government. The high price of land in metropolitan cities, lack of incentive for the private sector to invest in construction of filling station due to the low-income, have caused filling stations to be insufficiently available. One of the solutions to overcome this obstacle is to use the ability of the private sector for distribution of petroleum products. To reduce the government's ownership, the market structure for petroleum products distribution in the country needs to be changed. This change should be firstly done gradually and step by step, and secondly, the government has to monitor this issue at various stages. In this study, three stages are proposed for the market restructuring of the petroleum products distribution in the country, and the conditions and requirements for each stage are separately identified. For the private fuel distributing companies, the most important problem is the economic issue and having profit. On the other hand, since the product price is still subsidized in the country, therefore, it is indispensable that the amount of commission fee should be determined in such a way that the activity for private companies is economically justified. In this study, the amount of products commision fee is calculated concerning capital and operatational expenditures, using the engineering economics method in different situations by COMFAR version 3 software.
https://pbr.put.ac.ir/article_91319_942a84953eccde8baa564f21ea6c680f.pdf
2018-05-01
38
51
10.22050/pbr.2018.91319
Petroleum Products
Economic Evaluation
Commision Fee
Filling Station
Restructuring
Mohammad Ali
Motafakker Aazad
m.motafakker@tabrizu.ac.ir
1
Professor, Economics Department, University of Tabriz, Tabriz, Iran
LEAD_AUTHOR
Reza
Ranjpour
r.ranjpour@tabrizu.ac.ir
2
Assistant Professor, Economics Department, University of Tabriz, Tabriz, Iran
AUTHOR
Mohsen
Pourebadolahan
m.pourebadollahan@tabrizu.ac.ir
3
Associate Professor Economics Department, University of Tabriz, Tabriz, Iran
AUTHOR
Mehdi
Asali
m.asali@nioc.ir
4
Associate Professor, Institute for International Energy Studies, Tehran, Iran
AUTHOR
Seied Taher
Partovi Alanagh
pourpartovi@gmail.com
5
Faculty of Economics and Management, University of Tabriz
AUTHOR
-Australian Institute of Petroleum, Downstream Petroleum 2011, www.aip.com.au
1
-Christopher Ehinomen, Adepoju Adeleke. (2012) “An assessment of the distribution of Petroleum Products in Nigeria”, Journal of Business Management and Economics Vol. 3(6). pp. 232-241, June
2
-Dehghani, Amir (1392), "Examining the Benefits and Disadvantages of the Wage System and Comparing Its Comparative Comparison with the Commission fee System in Fuel stations of the National Iranian Oil Products Distribution Company," M.Sci Dissertation, Islamic Azad University, Naregh School of Management.
3
-Downstream Petroleum 2011, Australian Institute of Petroleum Ltd
4
-Etabi, F, Mahoutchi Saeed, K, Abedi, Z, (1386), "Cost Analysis - Benefits of Construction and Exploitation of Single-Use CNG Fuel Station in Tehran City," Quarterly Journal of Energy Economics, 14 (4). 119-97.
5
-Global Industrial Restructuring, ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT (OECD) Business and Industry Policy Forum Reports on Proceedings, 2002, http://www.oecd.org/sti/business-forums
6
-Hasan Ünal, (2011), the Turkish Downstream Petroleum Industry – Analysis of Market Efficiency, Bergen, autumn
7
-Ignacio Contín, Aad Correljé and Emilio Huerta, The Spanish distribution system of oil products: an economic analysis, Nijmegen International Political Economy Centre, University of Nijmegen, 1994 (For an analysis of this process see Correljé (1990, 1994))
8
- Instructions for designing and constructing small fuel stations (1395), NIOPDC.
9
-Jamasb, T & Pollitt, MG (2005), Electricity Market Reform in European Union: Review of Progress toward Liberalization and Integration, CWPE Working Paper, No. 0417, University of Cambridge.
10
-James Eastcott, Restructuring of the Japanese Downstream Oil Market and Implications for the World Market, Energy Strategy Department, IEEJ: June 2004
11
-Javanmardi, Rezaee. (2009) “Economic Evaluation of Natural Gas Transportation from South-Pars Gas Field to Markets “Applied Thermal Engineering, Volume 29, Issue 10, P.1-3
12
-Justification Analisis of fuel supply stations, (1393), Research Center of the Islamic Consultative Assembly, Deputy Head of Research and Production Affairs, Office of Energy Studies, Industry and Mine.
13
-Kieran Clarke. (2010), India’s Downstream Petroleum Sector Refined Product Pricing and Refinery Investment, Australian Department of Resources, Energy and Tourism
14
-Kombo Mason Braide, (2003), Modes of Deregulation in the Downstream Sector the Nigerian Petroleum Industry http://www.nigerdeltacongress.com/marticles/modes_of_deregulation_in_the_dow.htm
15
-Michael Pomerleano, William Shaw (2005), Corporate Restructuring, Lessons from Experience, the International Bank for Reconstruction and Development, the World Bank, Washington, D.C. 2005.
16
-Profit and Loss Statement. (1394), Financial Management, NIOPDC
17
-Purpartovi, M, (1394), "The Necessity of Changing the filling station System from commission Fees to Commissioning," Energy Quarterly of the NIOPDC, 8 (3): 20-12.
18
- Rahmani Fazli, H, Arab Mazar, A, (1395), "Optimal Provincial Allocation of Oil Budget Based on an Optimal Randomized Control Model," Quarterly Journal of Economic Research, 60 (16): 182-153.
19
-Restructuring in Russia Oil Industry, the research center of Iranain Parliamant, the office of Infrastructure affairs, 2008
20
- Sattari, S, et al. (1387), CNG technical and economical justification in Iran, third-millennium pub, Tehran, 1387
21
-Shirijian, M, Taheri Fard, A, Asgari, M.M, (1394), "Structural Analysis of the Comparison of Optimal Levels of Investment and Oil Production in Upstream buyback Contracts of Participation shares in Oil Production and Contract", Quarterly Journal of Economic Research, 58 (15): 158 -111.
22
-Svetoslav Danchev and George Maniatis. (2014), the Refining Sector in Greece: Contribution to the Economy and Prospects, Foundation for Economic and Industrial Research
23
-SWATI SHARMA, SHRI YOGENDER CHAUDHRY, IMPACT OF GOVERNMENT POLICIES ON COMPETITION IN INDIAN PETROLEUM INDUSTRY, Competition Commission of India of India, Amity Law School, Noida, 2012
24
-Tavanpour, M, Kazemi, Kh, (1386), "Technical-Economic Assessment of Construction of GTL Production Units in the Country," Quarterly Journal of Energy Economics, 15 (4): 166-143.
25
-U.S. Department of Energy, Energy Information Administration (EIA). 2003. “2003 California Gasoline Price Study: Final Report.” Washington, DC: U.S. Department of Energy, Energy Information Administration Approach”, Energy Economics, 32, 110- 120.
26
ORIGINAL_ARTICLE
Knowledge Management Pattern for Project-Based Organizations in Energy Industry: A Grounded Theory Study
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
https://pbr.put.ac.ir/article_91320_a7c87d81f14d4ee86e04efe469bae264.pdf
2018-05-01
52
59
10.22050/pbr.2018.91320
Knowledge management model
Grounded theory
Project based organizations of Energy industry
Masoume
Amidi
masoumeamidi80@gmail.com
1
IT Department , Management Faculty, Islamic Azad University, South Branch, Valiasr Complex , Tehran , Iran
LEAD_AUTHOR
Gholamreza
Hashemzadeh
gh_hashemzadeh@azad.ac.ir
2
Associate Professor, Department of Information Technology Management, College of Management, South Tehran Branch, Islamic Azad University, Tehran, Iran
AUTHOR
Aliakbar
Alizadeh
aliakbaralizadeh1974@gmail.com
3
Personnel Manager ,National Oil Company , Tehran, IRan
AUTHOR
Ahmed, M.E. (2017)."SMART KM pattern: the integrated KM framework for organizational excellence", World Journal of Science, Technology and Sustainable Development, Vol. 14, 131-140.
1
Akhavan P., Jafari M. and Hassan Nejad H., (2016). Providing a Conceptual Framework for Interaction between Challenges and Knowledge Sharing in the Project Lifecycle Stages in PBO (Case Study: Sazeh pardazy Consulting Engineers Co.). International Journal of Industrial Engineering and Production Management. 26 (4): 499-523.
2
Akhavan, P., Zahedi, M. & Hosein, S. (2015). "A conceptual framework to address barriers to knowledge management in project-based organizations" Education, Business and Society: Contemporary Middle Eastern Issues, Vol. 7 Issue: 2/3, pp.98-119.
3
Allameh, M., Rashid, K., and Abbasi, N. (2015). "The Basics of KM," Tehran, Rasa Publication.
4
An, X., Deng, H., Wang, Y., & Chao, L. (2013)."An integrated pattern for effective KM in Chinese organizations". The program, NO.47(3), 320–336.
5
Bairi, J., Manohar, B. M., & Kundu, G. K. (2013). Knowledge acquisition by outsourced service providers from aging workforce of oil and gas industry: A study. Vine, 43(1), 39–56. https://doi.org/10.1108/03055721311302133
6
Corbin, J. and Strauss, A. (1990).” Basics of Qualitative Research: Techniques and Procedures for Grounded Theory”, 2nd ed., Sage Publications.
7
Danaee Fard, H. and Emami, M. (2007). Qualitative Research Strategies: A Tailor to the Theory of Data Foundation, Thesis Management, pp. 97-115.
8
Dortaj, F., Sharia, S., Abbaspour, A., Delaware, A. and Sadipour, Ismail (2017). Explaining and presenting a strategy for nurturing strategists at the National Iranian Energy Company based on the Data Foundation Theory, Quarterly Journal of Human Resource Management Energy Industry, ninth year, pp. 76-92.
9
Faraji, A. (2009). KM Pattern for Productivity Improvement at Energy Ministry Operational Units, 2nd National KM Conference, Tehran, oil, Gas and Petrochemical Information Institute, Tazan.
10
Glaser, B. (2002). Conceptualization: On Theory and Theorizing Using Grounded Theory International, Journal of Qualitative Methods, 1(2).1-31. Retrieved from http://www.ualberta.ca/
11
Grant, R. M. (2013). “The Development of KM in the Oil and Gas Industry”, Universia Business Review, Vol 1, 92–125.
12
Hamidizadeh, M (2009), Strategy for the Identification and Treatment of the Complications of Establishing Organizational Knowledge in the Energy Industry, Human Resources Management in the Energy Industry, No. 4, pp. 34-56.
13
Handzic, M. (2011). “Integrated socio‐technical KM pattern: an empirical evaluation.”, Journal of KM, Vol 15, 198–211.
14
Javadi, S. (2013). "Performance management in higher education: a grounded theory study" (Doctoral dissertation, University of Southampton).
15
Jeon, S., Kim, Y., and Koh, J. (2011). “An integrative pattern for knowledge sharing in communities‐of‐practice.”, Journal of KM, 15(2), 251–269.
16
Landis, J., and Koch, G. (1977). The Measurement of Observer Agreement for Categorical Data. Biometrics, 33(1), 159-174. doi:10.2307/2529310
17
Li, M, Liu, H. and Zhou, J. (2018)."G-SECI model-based knowledge creation for CoPs innovation: the role of grey knowledge", Journal of Knowledge Management, Vol. 22 Issue: 4, pp.887-911,
18
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ORIGINAL_ARTICLE
Identifying Early Warnings in Drilling Projects and Finding their Relationships to the Outcomes and Problems of these Projects in Some Real Cases in Iran
As projects increase in size and complexity, they become more difficult to handle. One of these large and complex projects is oil and gas projects. The current controlling processes of projects are not able to detect the problems in early phases of the project and are rather late leading to extra time and cost. One solution is to find symptoms of problems in the early phases. Due to the importance of drilling projects in upstream sector, the main objective of this research is to identify the early warning symptoms of problems in drilling projects and to find the relationships between selected early warnings with project outcomes and problems of these projects. To reach that aim, the early warnings have been recognized through literature review and interviews with experts. Then, case study analysis is performed to find the relationships between early warnings and project outcomes. All cases have been selected from previous completed drilling projects in one of the oil fields of Iran. Findings show that there is a relationship between early warnings, project outcomes and projects problems.
https://pbr.put.ac.ir/article_91321_2a2d8d0ea8151cc9e292cfb85cd141e5.pdf
2018-05-01
60
67
10.22050/pbr.2018.91321
Early Warning
Drilling Projects
Project Outcomes
Project Problems
case study
Mohammad Reza
Shokouhi
shokouhi@put.ac.ir
1
Assistant Professor, Energy Economics & Management Department, Petroleum Faculty of Tehran, Petroleum University of Technology, Tehran, Iran
LEAD_AUTHOR
Mohsen
Beheshti
m.beheshti@tfp.put.ac.ir
2
Energy Economics & Management Department, Petroleum Faculty of Tehran, Petroleum University of Technology, Tehran, Iran
AUTHOR
Kamran
Fatahi
k.fatahi@tehranenergy.com
3
Tehran Energy Consultant, Tehran, Iran
AUTHOR
Abdolsamad
Rahmati
s.rahmati777@gmail.com
4
NIOC, Tehran, Iran
AUTHOR
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