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Identify key factors to improve organizational systemibility from the perspective of sustainability paradigm in the oil and gas industry | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 23، دوره 15، شماره 10، دی 2024، صفحه 279-292 اصل مقاله (1.52 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2023.30944.4521 | ||
| نویسندگان | ||
| Firouz Khodaei1؛ Houshang Taghizadeh* 2؛ Majid Bagherzadeh Khajeh1 | ||
| 1Department of Management, Tabriz Branch, Islamic Azad University, Tabriz, Iran | ||
| 2Department of Management, Tabriz Branch, Islamic Azad University, Tabriz, Iran | ||
| تاریخ دریافت: 25 فروردین 1402، تاریخ پذیرش: 27 خرداد 1402 | ||
| چکیده | ||
| This article identifies the key factors influencing the organizational systematization promotion from the perspective of the sustainability paradigm in the oil and gas industry. This is a fundamental mixed paper (qualitative and quantitative). The qualitative population consisted of 25 expert subjects working for of oil and gas sector. The quantitative statistical population included all managers and senior specialists with at least 10 years of managerial work experience in various oil and gas sectors. The number of statistical samples was determined as 381 people through Cochrane correlation and was selected using a convenient sampling method. Data analysis was done in two qualitative and quantitative parts. In the qualitative part, by using the theme analysis, the output of the interviews was designed and presented in the form of a model of the key factors of improving system stability from the perspective of the sustainability paradigm in the oil and gas industry. In the quantitative part, the components of the qualitative model were converted into a questionnaire and after checking and confirming the validity and reliability, respectively, with the theme approach and checking the internal consistency of the items with Cronbach's alpha index, they were distributed among the statistical sample. The results of the conceptual model validation indicate the approval of the model extracted from the qualitative part of the research; thus, the measurement model and the structural model have a good statistical fit. The results showed that the dimensions of improving organizational system ability from the perspective of the sustainability paradigm in the oil and gas industry include (quality of human factors, structural quality, stability and unity of procedure at macro levels, commitment to the core process, and process monitoring and performance management) and oil and gas industries policymakers should pay special attention to them to promote systemability from the perspective of sustainability policies in this industry. | ||
| کلیدواژه‌ها | ||
| Systemability؛ Sustainability Paradigm؛ Organizational Reliability؛ Sustainable Supply chain؛ Oil and Gas Industry | ||
| مراجع | ||
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[1] O. Borgia, F. De Carlo, N. Fanciullacci, and M. Tucci, Field reliability estimation through the Systemability function: a case study in the household appliances, Proc. XVIII Summer School” Francesco Turco”, Maurizio Bevilacqua, 2013 , pp. 1–6. [2] D.R. Cox, Regression models and life-tables, J. Royal Statist. Soc.: Ser. B 34 (1972), no. 2, 187–202. [3] B.B. Gardas, R.D. Raut, and B. Narkhede, Determinants of sustainable supply chain management: A case study from the oil and gas supply chain, Sustain. Prod. Consump. 17 (2019), 241–253. [4] M. Hafi, U. Ujianto, and T. Andjarwati, The effects of sustainable supply chain management and organizational learning abilities on the performance of the manufacturing companies, Uncertain Supply Chain Manag. 10 (2022), no. 4, 1345–1358. [5] M. Jalali, B. Feng and J. Feng, An analysis of barriers to sustainable supply chain management implementation: the Fuzzy DEMATEL approach, Sustainability 14 (2022), no. 20, p. 13622. [6] M. Khorasani, S. Sarker, G. Kabir, and S.M. Ali, Evaluating strategies to decarbonize oil and gas supply chain: Implications for energy policies in emerging economies, Energy 258 (2022), p. 124805. [7] R.R. Menon and V. Ravi, An analysis of barriers affecting implementation of sustainable supply chain management in electronics industry: a Grey-DEMATEL approach, J. Modell. Manag. 17 (2022), no. 4, 1319–1350. [8] M. Movahedipour, J. Zeng, M. Yang, and X. Wu, An ISM approach for the barrier analysis in implementing sustainable supply chain management, Manag. Decision 55 (2017), no. 8, 1824–1850. [9] A. Persona, H. Pham, and F. Sgarbossa, Age replacement policy in a random environment using systemability, Int. J. Syst. Sci. 41 (2010), no. 11, 1383–1397. [10] A. Persona, F. Sgarbossa, and H. Pham, Systemability function to optimisation reliability in random environment, Int. J. Math. Oper. Res. 1 (2009), no. 3, 397–417. [11] A. Persona, F. Sgarbossa, and H. Pham, Systemability: A new reliability function for different environments. H. Pham (Ed.), Quality and reliability management and its applications, Springer London, 2016, pp. 145–193. [12] H. Pham, A new generalized systemability model, Int. J. Perform. Eng. 1 (2005), no. 2, 145–155. [13] H. Pham, Systemability theory and its applications, I.B. Frenkel, A. Karagrigoriou, A. Lisnianski and A. Kleyner (Eds.), Applied reliability engineering and risk analysis: probabilistic models and statistical inference, Wiley Online Library, 2013, pp. 377–388. [14] R. Raut, B.E. Narkhede, B.B. Gardas, and H.T. Luong, An ISM approach for the barrier analysis in implementing sustainable practices, Benchmark.: Int. J. 25 (2018), no. 4, 1245–1271. [15] G. Reinhart, R. Lindermaier, R.-G. Gr¨aser, B. Eich, and J. Milberg, Robust assembly processes as a means of achieving systemability, CIRP Ann. 45 (1996), no. 1, 7–10. [16] A. Rentizelas, A.B.L. de Sousa Jabbour, A.D. Al Balushi, and A. Tuni, Social sustainability in the oil and gas industry: institutional pressure and the management of sustainable supply chains, Ann. Oper. Res. 290 (2020), 279–300. [17] R.B. Sanchez-Flores, S.E. Cruz-Sotelo, S. Ojeda-Benitez, and M.E. Ram´ırez-Barreto, Sustainable supply chain management-A literature review on emerging economies, Sustainability 12 (2020), no. 17, p. 6972. [18] M. Sharma, S. Joshi, M. Prasad, and S. Bartwal, Overcoming barriers to circular economy implementation in the oil & gas industry: Environmental and social implications, J. Cleaner Product. 391 (2023), 136133. [19] V.K. Sharma, A. Sachdeva, and L.P. Singh, A meta analysis of sustainable supply chain management from different aspects, Int. J. Supply Oper. Manag. 8 (2021), no. 3, 289-313. [20] S. Sletten, K. Wangen Jonasmo, and M.C.W. Solheim, Changing industrial trajectories through business model innovation: a case study of the oil and gas industry in Norway, Eur. Plann. Stud. 31 (2023), no. 7, 1555–1574. [21] H. Taghizadeh and M. Ershadi, Selection in supply chain with combined QFD and ANP approaches (case study), Res. J. Recent Sci. 2 (2013), 66–76. [22] H. Taghizadeh and E. Hafezi, The investigation of supply chain’s reliability measure: a case study, J. Ind. Eng. Int. 8 (2012), 1–10. [23] H. Taghizadeh and M. Ziaei Hajipirloo, Presenting knowledge sharing model with interpretive structural modeling approach (case study), J. Executive Manag. 5 (2014), no. 10. [24] G. Wang, Q. Cheng, W. Zhao, Q. Liao, and H. Zhang, Review on the transport capacity management of oil and gas pipeline network: Challenges and opportunities of future pipeline transport, Energy Strat. Rev. 43 (2022), p. 100933. [25] M. Wetzels, G. Odekerken-Schroder, and C. Van Oppen, Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration, MIS Quart. 33 (2009), no. 1, 177–195. | ||
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