پیشایندها و پیامدهای زنجیره تامین سبز: استفاده از روش فراترکیب و بهترین- بدترین
محورهای موضوعی :
مدیریت صنعتی
Navid Pishkar
1
(
PhD Student in Entrepreneurship Management, Islamic Azad University, Chalous, Iran.
)
mohammad ali nasimi
2
(
Department of Management, Tonekabon Branch, Islamic Azad University, Tonekabon, Iran.
)
maryam rahmaty
3
(
assistant profesor, Department of management,, Management andAccunting Faculty, Islamic Azad University, chalus branch, chalus, iran
)
تاریخ دریافت : 1399/09/11
تاریخ پذیرش : 1399/12/16
تاریخ انتشار : 1400/02/25
کلید واژه:
"پیشایندهای زنجیره تامین سبز",
"پیامدهای زنجیره تامین سبز",
"روش بهترین- بدترین",
"فراترکیب",
چکیده مقاله :
هدف پژوهش حاضر واکاوی پیشایندها و پیامدهای زنجیره تامین سبز و اولویت بندی پیشایندهای زنجیره تامین سبز است. جامعه آماری در بخش کیفی تعداد 167 مقاله مستند بود که در نهایت به 23 مقاله مرتبط با موضوع انتخاب شد و در بخش کمی 5 شرکت در صنعت قطعه‌سازی منتخب با روش نمونه‌گیری در دسترس10 نفر به عنوان خبره انتخاب شدند. داده‌ها با استفاده از هفت گام باروسو و ساندلوسکی در فراترکیب و روش بهترین- بدترین با استفاده نرم افزارهای مکس کیودا، اکسل، اس‌پی‌اس‌اس و لینگو تحلیل شد. پیشایندهای زنجیره تامین سبز در 3 مقوله (عوامل سازمانی، عوامل فرهنگی و عوامل محیطی) و 8 کد محوری (عوامل مدیریتی، توانمندی نیروی انسانی، سیاست های مالی سازمان، ترویج فرهنگ سبز، فعالیت فعالان محیط‌زیست، تکنولوژی و دانش، دولت، مشتریان و بازار) و 37 کد باز، پیامدهای زنجیره تامین سبز نیز در 3 مقوله (پیامدهای اقتصادی، پیامدهای اجتماعی و پیامدهای زیست محیطی) و 6 کد محوری (مزایای مالی مستقیم، مزایای مالی غیر مستقیم، مزایای سازمانی، حفاظت از سلامت انسان، کنترل آلودگی ها، حفاظت از منابع) و 20 کد باز در استخراج گردید. اولویت‌بندی پیشایندها به ترتیب عوامل مدیریتی 167/0، سیاست های مالی سازمان 152/0، دولت 147/0، تکنولوژی و دانش 145/0، توانمندی نیروی انسانی 130/0، مشتریان و بازار 114/0، ترویج فرهنگ سبز 101/0 و فعالیت فعالان محیط زیست 044/0 ارائه شد. نتیجه گرفته شد که صنایع قطعه‌سازی می‌بایست با حمایت از عوامل سازمانی در ابعاد اقتصادی، اجتماعی و محیط زیستی و همچنین پرداختن به مقوله فرهنگی و محیطی، فرایند مدیریت زنجیره تامین سبز را پیاده‌سازی نمایند.
چکیده انگلیسی:
The purpose of this study is to analyze the antecedents and consequences of green supply chain and prioritize green supply chain antecedents.The statistical population in the qualitative section was 167 documentary articles which were finally selected to 23 articles related to the subject and in the quantitative section 5 companies in the selected parts manufacturing industry were selected as experts by available sampling method. Data were analyzed using Barroso and Sandlowski's seven steps in the meta-combination and the best-worst method in the quantitative part using MaxQuoda, Excel, SPS and Lingo software. Green supply chain precedents in 3 categories (organizational factors, cultural factors and environmental factors) and 8 central codes (management factors, human resource capability, organizational financial policies, promotion of green culture, activities of environmental activists, technology and knowledge, government, Customers and market) And 37 open source, green supply chain implications in 3 categories (economic implications, social implications and environmental implications) and 6 core codes (direct financial benefits, indirect financial benefits, organizational benefits, human health protection, pollution control, Resource protection) and 20 open sources code was extracted. Prioritization of antecedents, respectively, managerial factors 0.167, organizational financial policies 0.152, government 0.147, technology and knowledge 0.145, manpower capability 0.130, customers and market 0.114, promotion of green culture 0.101 and the activity of environmental activists was presented as 0.044. It was concluded that the parts manufacturing industries should implement the green supply chain management process by supporting organizational factors in economic, social and environmental dimensions as well as addressing cultural and environmental issues.
منابع و مأخذ:
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Zhang, X., Abaid, U., & Yousaf, H. M. (2020). Green supply chain coordination considering government intervention, green investment, and customer green preferences in the petroleum industry, Journal. of Cleaner Production, 246 (34): 267-280.
Zimmer, L. (2006). Qual.itative meta-synthesis: A question of dial.oguing with texts, Journal. of Advanced Nursing, 53: 311-318.
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Ahmadi, S. A. A., Afshari, M. A., & Shekari, H. (2016). Presentation for the success of women in the field of green water, Business Research, 18 (66): 95-137.
Al.da, Y., Uemura, R., Osiris, C. J., Carla, C.A. E., & Marcelo, R. (2020). Integrated product development process and green supply chain management: Contributions, limitations and applications, Journal. of Cleaner Production, 249 (18): 144-159.
Assumpção, J. J., Campos, L. M. S., Jabbour, A. B. L. S., Jabbour, C. J. C., & Vazquez-Brust, D. A. (2019). Green supply chain practices: a comprehensive and theoretical.ly multidimensional. framework for categorization, Production, 29: 16-32.
Bahrami, F., Amiri, Y., & Javanmardi, A. (2017). Presenting an Interpretive Structural. Model of Factors Affecting Green Supply Chain Management, M.Sc, Thesis, Faculty of Engineering, Zand Institute of Higher Education.
Benachio, G. L. F., Freitas, M. C. D.,& Tavares, S. F. (2019).Green supply chain management in the construction industry: A literature review, IOP Conference Series: Earth and Environmental. Science, 225(1): 45-67.
Bench, S., & Day, T. (2010). The user experience of critical. care discharges: a meta-synthesis of qual.itative research, International. journal. of nursing studies, 47: 487-99.
Cheng, P., Fu, Y., & Lai, K. K. (2018). Supply chain risk management in the apparel industry, first ed, Routledge Advances in Risk Management, London and New York.
Cherrafi, A., Garza-Reyes, J. A., Kumar, V., Mishra, N., Ghobadian, A.,& Elfezazi, S. (2018). Green practices and process innovation: A model for green supply chain performance. International. Journal. of Production Economics, 206 (22): 79-92.
Das, D. (2018). The impact of sustainable supply chain management practices on firm performance:Lessons from Indian organizations, Journal. of cleaner production, 203: 179-196.
Forsyad, M., Manjab, M. R.,& Sayadi, M. K. (2019). Designing a model to investigate the impact of government cultural.ization on competition between green and non-green supply Chain and social. welfare level, M.Sc. Thesis, Faculty of Economics, Kharazmi University.
Gahramani Asl Kande, H., & Sepandarand, S. (2019). Identification and prioritization of factors affecting green supply Chain acceptance, Master Thesis, Department of Management, Rumi Institute of Higher Education.
Gao, J., Zhongdong, X., Haixiao, W., & Guanghui, Z. (2020). Dual.-channel green supply chain management with eco-label policy: A perspective of two types of green products, Computers & Industrial. Engineering,146 (20):106- 119.
Golami, s., & Nazeri, A., (2018). Green supply chain management and organizational. performance; the moderating role of ISO certification, Scientific-Extension Quarterly of Standard and Qual.ity Management, 8 (1): 6-25.
Hamdy, O. M. M., Elsayed, K. K., & Elahmady, B. (2018). Impact of sustainable supply chain management practices on Egyptian companies’ performance, European Journal. of Sustainable Development, 7(4): 119-130.
Hassanzadeh, M., Famous Zanganeh, S., & Bagheri Nejad, J. (2017). Identification and anal.ysis of factors affecting the implementation of green supply chain management and its impact on performance improvement, Master Thesis, Faculty of Engineering, Al.-Zahra University.
Islam, S., Karia, N., Fauzi, F. B. A.,& Soliman, M. (2017). A review on green supply chain aspects and practices, Management &Marketing, 12(1): 12-36.
Ismaili, S, & Akbarnia Omran, I. (2019). Assessing and explaining the structure of key factors for the success of sustainable green supply chain management in the automotive industry using the fuzzy dimtel technique, Master Thesis, Faculty of Humanities, Amol Institute of Higher Education.
Jahanshahi, H., & Adal.atian Shahriari, J. (2014). Prioritization of key factors for implementation in the green supply chain, Master Thesis, Department of Industrial. Management, Islamic Azad University, Tehran Branch.
Maditati, D. R., Munim, Z. H., Schramm, H. S., & Kummer, S. (2018). A review of green supply chain management: from bibliometric anal.ysis to a conceptual. framework and future research directions, Conservation and Recycling, 139: 150-162.
Majidi, A,. &Razavi, M. (2018). Ranking of green supply Chain stimulators by multi-criteria decision making fuzzy vicor, Master Thesis, Department of Management, Islamic Azad University, Marvdasht Branch.
Mohajeri, S., Aghaeipour, Y., & Pirdestan, M. (2019). Identification and prioritization of factors affecting green supply chain management in Iran Khodro company, Journal. of Science and Engineering Elites, 4 (3): 111-122.
Mozaffari, M. M., & Ajli, M. (2019). Eval.uation of intra-organizational. factors affecting green supply chain management with fuzzy dimethyl technique, Andisheh Amad, 18 (68): 73-85.
Nur, F., Handayani, N. U.,& Wibowo, M. A. (2018). Developing indicators to implementing green material. management in construction industry: A literature review, E3S Web of Conferences, 73.
Nur, S. Z., Fatimah, M., & Nurhaizan M. Z. (2019). A survey on green supply chain management (GSCM) chal.lenges in the Mal.aysian construction Industry, 2nd Conference on Governance and Integrity, KnE Social. Sciences: 1202-1213.
Oliveira, U. R., Espindola, L. S., Silva, I. R., & Silva, I. N. (2018). A systematic literature review on green supply chain management: research implications and future perspectives, Journal. of Cleaner Production, 187(15): 537-561.
Pour-Abbas, F., Habibi Rad, A.,& Agriculture, A. H. (2019). Study of the effect of lean and green supply chain performance on the sustainability of the automotive industry, M.Sc. Master Thesis, Department of Management, Islamic Azad University.
Ramezani, A. H., Tavakoli, M.,& Nouri, D. S. (2019). Study and prioritization of performance indicators of green supply chain in industrial. estates, Master Thesis, Faculty of Engineering, Al.lameh Mohaddes Nouri University.
Shakeri, R., Ebrahimi, S., & Jamshidi, R. (2017). Study of the relationship between green supply chain management and company performance in Sanandaj industrial. town No. 3, the Second International. Conference on Management Research and Humanities, University of Tehran.
Shiri, F., Khodadad, H.,& Ahmadi, H. P. (2019). Study of the mediating effect of green innovation and environmental. performance on the relationship between green supply chain management and export performance, M.Sc. Thesis, Department, Higher Education Institute of Northern Strategy.
Sibel, Y. Ç.,& Bulent, S. (2019). Effects of green supply chain management practiceson sustainability performance, Journal. of Manufacturing Technology Management, 30 (1): 98-121.
Tal.ei, Sh., Azar, A., & Hosseini, K. (2018). Study and explanation of green supply chain model management with a sustainable performance approach, M.Sc. Thesis, Department of Industrial. Engineering, North Strategy Non-Governmental. Higher Education Institute.
Tasmia, J. T., Mithun, A., Hafizur, R., Sanjoy, K., Paul, P. C., & Syed Abdul, R. K. (2019). Barriers to green supply chain management: An emerging economy context, Journal. of Cleaner Production, 236: 117-129.
Thi Tam, L. (2019). The effect of green supply chain management practices on sustainability performance in Vietnamese construction material.s manufacturing enterprises, Uncertain Supply Chain Management, 8: 43-54.
Wanga, C., Qingpu, Z., & Wei, Z. (2020). Corporate social. responsibility, green supply chain management and firm performance: The moderating role of big-data anal.ytics capability, Research in Transportation Business & Management, 37 (11): 10-22.
Zhang, X., Abaid, U., & Yousaf, H. M. (2020). Green supply chain coordination considering government intervention, green investment, and customer green preferences in the petroleum industry, Journal. of Cleaner Production, 246 (34): 267-280.
Zimmer, L. (2006). Qual.itative meta-synthesis: A question of dial.oguing with texts, Journal. of Advanced Nursing, 53: 311-318.
