Fuzzy Dynamic Modeling for Export Consortia in Small and Medium-Sized Enterprises

Document Type : Original Article

Authors

Department of Industrial Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran

Abstract

The absence of active export consortia and the lack of a technical, serious, and codified plan for their development are among the most important reasons for Iran's small and medium-sized enterprises (EMSs) remaining in the country's export coordinates. In this study, the data are collected and analyzed with a mixed (qualitative-quantitative) approach, which is a critical paradigm. The data are collected using library research and field methods. In the field section, structured, exploratory, and collaborative interviews are used in the qualitative phase, and the researcher-made questionnaires are used in the quantitative phase. The data are analyzed using grounded theory, brainstorming sessions, fuzzy cognitive map (FCM), fuzzy inference system (FIS), and system dynamics modeling (SDM). According to the results, "features of consortium members", "export operational plan", "consortium strengthening factor", "recognition of export support", "transnational factors", "government factors", and "product features" are the seven main success factors of private sector export consortia in Iranian industries. Furthermore, identifying a suitable promoter, identifying potential members, conducting the desired study and contacting interested companies, appointing representatives, holding meetings between potential members, conducting a feasibility study and preparing a business plan, officially forming a consortium, and following up on consortium affairs are eight steps for establishing private sector export consortiums in Iranian industries.

Graphical Abstract

Fuzzy Dynamic Modeling for Export Consortia in Small and Medium-Sized Enterprises

Keywords

Main Subjects

References

  1. Ghayoomi M, Abooei M, Vahdatzad M, Ebrahimi A. Designing a model for creation of export consortiain business cluster. International Journal of Engineering, Transactions C: Aspects, . 2020;33(3):459-67. https://doi.org/10.5829/ije.2020.33.03c.10
  2. Rahman R, Shahriar S, Kea S. Determinants of exports: A gravity model analysis of the Bangladeshi textile and clothing industries. FIIB Business Review. 2019;8(3):229-44. https://doi.org/10.1177/2319714519872643
  3. Sohrabi R, Pouri K, Sabk Ara M, Davoodi SM, Afzoon E, Pourghader Chobar A. Applying sustainable development to economic challenges of small and medium enterprises after implementation of targeted subsidies in Iran. Mathematical Problems in Engineering. 2021;2021:1-9. https://doi.org/10.1155/2021/2270983
  4. Forte R, Oliveira T. The role of export consortia in the internationalization of small and medium enterprises: a review. International Entrepreneurship Review. 2019;5(4):7. https://Doi.org/10.15678/IER.2019.0504.01
  5. O’Reilly S, Haines M, Arfini F. Food SME networks: Process and governance-The case of Parma ham. Journal on Chain and Network Science. 2003;3(1):21-32. https://doi.org/10.3920/JCNS2003.x027
  6. Vaseei M, Agha MNJ, Abolghasemian M, Chobar AP. Investigating the Role of Transformative Technologies and Smart Processes on Sustainable Business. Building Smart and Sustainable Businesses With Transformative Technologies: IGI Global; 2024. p. 38-51.
  7. Emami A, Hazrati R, Delshad MM, Pouri K, Khasraghi AS, Chobar AP. A novel mathematical model for emergency transfer point and facility location. Journal of Engineering Research. 2023. https://doi.org/10.1016/j.jer.2023.11.004
  8. Pan H, Bayanati M, Vaseei M, Chobar AP. Empowering solar photovoltaic logistic operations through cloud-enabled blockchain technology: a sustainable approach. Frontiers in Energy Research. 2023;11:1293449. https://doi.org/10.3389/fenrg.2023.1293449
  9. Welch D, Welch L, Wilkinson IF, Young LC. Network analysis of a new export grouping scheme: The role of economic and non-economic relations. International Journal of Research in Marketing. 1996;13(5):463-77. https://doi.org/10.1016/S0167-8116(96)00023-7
  10. Wilkinson A. Empowerment: theory and practice. Personnel review. 1998;27(1):40-56. https://doi.org/10.1108/00483489810368549
  11. Hoffmann WH, Schlosser R. Success factors of strategic alliances in small and medium-sized enterprises—An empirical survey. Long range planning. 2001;34(3):357-81. https://doi.org/10.1016/S0024-6301(01)00041-3
  12. Pfeffer J. Renaissance and renewal in management studies: Relevance regained. European Management Review. 2009;6(3):141-8. https://doi.org/10.1057/emr.2009.13
  13. Shoham A. Export performance: A conceptualization and empirical assessment. Journal of international marketing. 1998;6(3):59-81. https://doi.org/10.1177/1069031X9800600308
  14. Barney J. Firm resources and sustained competitive advantage. Journal of management. 1991;17(1):99-120. https://doi.org/10.1177/014920639101700108
  15. Bilkey WJ, Tesar G. The export behavior of smaller-sized Wisconsin manufacturing firms. Journal of international business studies. 1977;8:93-8. https://doi.org/10.1057/palgrave.jibs.8490783
  16. Ortega NRS, Sallum PC, Massad E. Fuzzy dynamical systems in epidemic modelling. Kybernetes. 2000;29(2):201-18. https://doi.org/10.1108/03684920010312768
  17. Chang P-T, Pai P-F, Lin K-P, Wu M-S. Applying fuzzy arithmetic to the system dynamics for the customer–producer–employment model. International journal of systems science. 2006;37(10):673-98. https://doi.org/10.1080/00207720600774222
  18. Ghazanfari M, Jafari M, Alizadeh S, editors. An approach to solve fuzzy system dynamics problems. Proceedings of 21st International Conference of the System Dynamics Society, paper; 2003.
  19. Xu J, Li X. Using system dynamics for simulation and optimization of one coal industry system under fuzzy environment. Expert Systems with Applications. 2011;38(9):11552-9. https://doi.org/10.1016/j.eswa.2011.03.033
  20. Carvalho JP, Tomè JA, editors. Rule based fuzzy cognitive maps-qualitative systems dynamics. PeachFuzz 2000 19th International Conference of the North American Fuzzy Information Processing Society-NAFIPS (Cat No 00TH8500); 2000: IEEE.
  21. Herrera M, Becerra M, Romero O, Orjuela J, editors. Using system dynamics and fuzzy logic to assess the implementation rfid technology. Proceedings of the 32st International Conference of System Dynamics Society Delft, Netherlands; 2014.
  22. Bahrami S, Bayanati M, Nasiri Janagha MR, Malekian S, Abolghasemian M, Pourghader Chobar A. A Reliable Approach in Solving Multi-Attribute Decision-Making Problems through Fuzzy Rule-Base System and Z-numbers. Fuzzy Optimization and Modeling Journal. 2023. https://doi.org/10.30495/fomj.2023.1998695.1124
  23. Mousavi Neqabi SMaA, Morteza,. analysis of the role of cluster development approach in the sustainable development of small and medium enterprises. National Conference on Future Studies, ; Management and Sustainable Development, Tehran2018.
  24. Mousavi Neqabi SM. Challenges and solutions for sustainable development of micro, small and medium enterprises in Tarshiz region based on networking strategy, . National sustainable development conference (with the approach of investment opportunities and challenges) in Tarshiz region),; Kashmir, Kashmir Higher Education Center2018.
  25. Yan MK, Amir and Masoumi, Hamidreza, , . Investigating the role of international trade and product export strategy in entering foreign markets and foreign investment performance. The fourth national conference on community empowerment in the field of humanities and psychological studies, ; Tehran, Center Empowering the Cultural and Social Skills of Society2019.
  26. Mousavi Niaraki SAK, Amir and Masoumi, Hamidreza, , . Identification and prioritization of effective factors in increasing the export of products of knowledge-based companies, . Fourth National Conference on Community Empowerment in the Field of Humanities and Psychological Studies; Tehran, Cultural Skills Empowerment Center and Social Society2019.
  27. Ali Ahmadi AaSN, Vahid. A comprehensive description of research methods (paradigms, strategies, quantitative, qualitative and hybrid designs and approaches). Tehran, Knowledge Production Publications2017.
  28. Du N, Fathollahi-Fard AM, Wong KY. Wildlife resource conservation and utilization for achieving sustainable development in China: main barriers and problem identification. Environmental Science and Pollution Research. 2023:1-20. https://doi.org/10.1007/s11356-023-26982-7
  29. Nozari H, Najafi E, Fallah M, Hosseinzadeh Lotfi F. Quantitative analysis of key performance indicators of green supply chain in FMCG industries using non-linear fuzzy method. Mathematics. 2019;7(11):1020. https://doi.org/10.3390/math7111020
  30. Moosavi J, Fathollahi-Fard AM, Dulebenets MA. Supply chain disruption during the COVID-19 pandemic: Recognizing potential disruption management strategies. International Journal of Disaster Risk Reduction. 2022;75:102983. https://doi.org/10.1016/j.ijdrr.2022.102983
  31. Gillespie K, Riddle L. Export promotion organization emergence and development: a call to research. International Marketing Review. 2004;21(4/5):462-73. https://doi.org/10.1108/02651330410547144
  32. Antoldi F, Cerrato D, Depperu D. Export consortia in developing countries: successful management of cooperation among SMEs: Springer Science & Business Media; 2012.
  33. Bekerman M, Wiñazky M, Moncaut N. Productive policies to strengthen the international insertion of SMEs: Export consortia in Argentina. Revista Integración y Comercio (Integration and Trade Journal). 2013;37(17):55-70. 10.15678/IER.2019.0504.01
  34. Chobar AP, Adibi MA, Kazemi A. Multi-objective hub-spoke network design of perishable tourism products using combination machine learning and meta-heuristic algorithms. Environment, Development and Sustainability. 2022:1-28. https://doi.org/10.1007/s10668-022-02350-2
  35. Mohammadpour A. Quality assessment in qualitative research: principles and strategies for validation and generalizability. Journal of Social Sciences. 2010;48:73-107.
  36. Kosko B. Fuzzy cognitive maps. International journal of man-machine studies. 1986;24(1):65-75. https://doi.org/10.1016/S0020-7373(86)80040-2
  37. Case Denise M, Blackburn, T., Stylios, C. Modelling Construction Management Problems with Fuzzy Cognitive Maps. In F. Aminah Robinson (Ed.). Fuzzy Hybrid Computing in Construction Engineering and Management. 2018:413-49. https://doi.org/10.1108/978-1-78743-868-220181015
  38. Biloslavo R, Dolinsek S, editors. Scenario planning for climate strategies development by integrating group Delphi, AHP and dynamic fuzzy cognitive maps. PICMET'08-2008 Portland International Conference on Management of Engineering & Technology; 2008: IEEE.
  39. Biloslavo R, Grebenc A. Integrating group Delphi, analytic hierarchy process and dynamic fuzzy cognitive maps for a climate warning scenario. Kybernetes. 2012;41(3/4):414-28.
  40. Poomagal S, Sujatha R, Kumar PS, Vo D-VN. A fuzzy cognitive map approach to predict the hazardous effects of malathion to environment (air, water and soil). Chemosphere. 2021;263:127926. https://doi.org/10.1016/j.chemosphere.2020.127926
  41. Sweeney LB, Sterman JD. Bathtub dynamics: initial results of a systems thinking inventory. System Dynamics Review: The Journal of the System Dynamics Society. 2000;16(4):249-86. https://doi.org/10.1002/sdr.198
  42. Daneshvar A, Radfar R, Ghasemi P, Bayanati M, Pourghader Chobar A. Design of an optimal robust possibilistic model in the distribution chain network of agricultural products with high perishability under uncertainty. Sustainability. 2023;15(15):11669. https://doi.org/10.3390/su151511669
  43. Khorram-Manesh A, Dulebenets MA, Goniewicz K. Implementing public health strategies—the need for educational initiatives: a systematic review. International Journal of Environmental Research and Public Health. 2021;18(11):5888. https://doi.org/10.3390/ijerph18115888
  44. Yuan J, Zou H, Xie K, Dulebenets MA. An assessment of social distancing obedience behavior during the COVID-19 post-epidemic period in China: A cross-sectional survey. Sustainability. 2021;13(14):8091. https://doi.org/10.3390/su13148091
  45. Siegrist M, Luchsinger L, Bearth A. The impact of trust and risk perception on the acceptance of measures to reduce COVID‐19 cases. Risk Analysis. 2021;41(5):787-800. https://doi.org/10.1111/risa.13675
  46. Singh P, Pasha J, Moses R, Sobanjo J, Ozguven EE, Dulebenets MA. Development of exact and heuristic optimization methods for safety improvement projects at level crossings under conflicting objectives. Reliability Engineering & System Safety. 2022;220:108296. https://doi.org/10.1016/j.ress.2021.108296
International Journal of Engineering
Volume 37, Issue 7
TRANSACTIONS A: Basics
July 2024
Pages 1422-1442

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