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شناسایی و مدل‌سازی ساختاری-تفسیری عوامل مؤثر بر انتخاب همکار برای همرقابتی در زنجیره تأمین بهداشت ودرمان | ||
| مدیریت زنجیره تأمین | ||
| دوره 26، شماره 84، آذر 1403، صفحه 35-44 | ||
| نوع مقاله: پژوهشی | ||
| نویسندگان | ||
| اسماعیل مزروعی نصرابادی* 1؛ زهرا صادقی آرانی2؛ امین حبیبی راد3 | ||
| 1استادیار مدیریت کسب و کار، دانشکده علوم مالی، مدیریت و کارآفرینی، دانشگاه کاشان، کاشان، ایران | ||
| 2استادیار مدیریت بازرگانی، دانشکده علوم مالی، مدیریت و کارآفرینی، دانشگاه کاشان، کاشان، ایران | ||
| 3استادیار گروه مدیریت، دانشکده علوم انسانی، دانشگاه شاهد، تهران، ایران | ||
| تاریخ دریافت: 01 تیر 1403، تاریخ بازنگری: 24 مرداد 1403، تاریخ پذیرش: 29 آبان 1403 | ||
| چکیده | ||
| با توجه به عدم قطعیت‌های موجود در زنجیره تأمین بهداشت و درمان و کمبودهای ناشی از آن، سازمان‌های فعال در این زنجیره به همرقابتی روی آورده‌اند. بعضی از این همرقابتی ها ناموفق بوده‌اند که یکی از دلایل آن عدم توجه به معیارهای انتخاب همکار برای همرقابتی است. با توجه به نبود تحقیقی در زمینه شناسایی عوامل انتخاب همکار به‌منظور همرقابتی، این پژوهش به‌منظور شناسایی این عوامل و مدل‌سازی آن‌ها (به‌منظور شناسایی بنیادی‌ترین عوامل) انجام شده است. در مرحله اول تحقیق، با روش تحلیل مضمون 38 عامل برای انتخاب همکار شناسایی گردید که در قالب 15 دسته «خدمات و منابع مکمل»، «نیروی انسانی دقیق و مجرب»، «رعایت اصول اخلاقی»، «ارائه خدمات دقیق، سریع و باکیفیت»، «پذیرش تغییرات و نوآوری»، «شهرت برند»، «حضور در بخش خصوصی»، «تناسب راهبردی رقیب با ما»، «نزدیک بودن از منظر جغرافیایی»، «مدیریت نیروی انسانی به شکل مناسب»، «داشتن سرمایه در گردش لازم برای مدیریت تحولات»، «اشتراک اطلاعات»، «فرهنگ‌سازمانی مشابه»، «نظم و انسجام سازمانی» و «ظرفیت ارائه خدمات» گروه‌بندی شد. در گام دوم با روش مدل‌سازی ساختاری تفسیری فراگیر فازی، عوامل مدل‌سازی شدند. نتایج نشان داد «حضور در بخش خصوصی» و «نزدیک بودن از منظر جغرافیایی» بنیادی‌ترین عوامل هستند که روی سایر عوامل مؤثرند. در سطح بعدی نیز «نیروی انسانی دقیق و مجرب»، «رعایت اصول اخلاقی» و «داشتن سرمایه در گردش لازم برای مدیریت تحولات» قرار دارد. با توجه به معیارهای شناسایی شده توصیه می‌شود سازمان‌ها در انتخاب همکار به این معیارها توجه نمایند و خود نیز به تقویت این معیارها در داخل سازمان بپردازند تا شریک بهتری به‌حساب بیایند در نتیجه کاهش بروکراسی اداری، تقویت فرهنگ‌سازمانی، بهبود زیرساخت‌های اطلاعاتی و مدیریت منابع انسانی توصیه می‌گردد. | ||
| کلیدواژه‌ها | ||
| همرقابتی؛ انتخاب همکار؛ زنجیره تأمین بهداشت و درمان؛ مدل‌سازی ساختاری-تفسیری فراگیر فازی | ||
| عنوان مقاله [English] | ||
| Identification and Interpretive Structural Modeling of Factors Influencing Partner Selection for Coopetition in the Healthcare Supply Chain | ||
| نویسندگان [English] | ||
| Esmaeil Mazroui Nasrabadi1؛ Zahra Sadeqi-Arani2؛ Amin Habibi Rad3 | ||
| 1department of business administration, faculty of financial science, management and entrepreneurship, university of Kashan, Kashan, Iran | ||
| 2Assistant Professor, Department of business management, Faculty of Financial Science, Management and Entrepreneurship, University of Kashan, Kashan, Iran. | ||
| 3Assistant Professor, Department of Management, Faculty of Humanities, Shahid University, Tehran, Iran | ||
| چکیده [English] | ||
| Given the uncertainties and shortages in the healthcare supply chain, organizations involved in this chain have increasingly adopted coopetition strategies. However, some coopetition efforts have failed, often due to neglecting essential criteria for selecting partners. As no prior research has comprehensively addressed the factors influencing partner selection for coopetition, this study was conducted to identify and model these factors, aiming to determine the most fundamental ones. In the first phase of the study, using thematic analysis, 38 factors influencing partner selection were identified and categorized into 15 groups: "complementary services and resources", "accurate and experienced human resources", "adherence to ethical principles", "providing accurate, prompt, and high-quality services", "acceptance of changes and innovation", "brand reputation", "presence in the private sector", "strategic alignment with our organization", "geographical proximity", "appropriate human resource management", "having sufficient working capital to manage changes", "information sharing", "similar organizational culture", "organizational discipline and coherence", and "service capacity." In the second phase, the factors were modeled using the fuzzy total interpretive structural modeling method. The results showed that "presence in the private sector" and "geographical proximity" are the most fundamental factors influencing other factors. In the next level, "accurate and experienced human resources", "adherence to ethical principles", and "having sufficient working capital to manage changes" were identified. Based on the identified criteria, organizations are advised to prioritize these factors in selecting coopetition partners. Additionally, organizations should strive to enhance these attributes internally to become more attractive partners. To this end, recommendations include reducing administrative bureaucracy, strengthening organizational culture, improving information infrastructure, and enhancing human resource management. | ||
| کلیدواژه‌ها [English] | ||
| Coopetition, Partner Selection, Healthcare Supply Chain, Fuzzy Total Interpretive Structural Modeling | ||
| مراجع | ||
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[1] H. Mollashahi, M. B. Fakhrzad, H. Hoseini Nasab, and H. Khademi Zare, "Inter-Chain Competition Based on Sustainability and Resilience Indicators in the Problem of Supply Chain Network Design," Supply Chain Management, vol. 26, no. 82, pp. 77-93, 2024. [Online]. Available: Dor: 20.1001.1.20089198.1403.26.82.6.3.(In Persian) [2] E. Mazroui Nasrabadi, A. Habibirad, and A. Shoul, "Presenting a Model of Critical Success Factors to Cope with the Ripple Effect in Iran's Machine-Made Carpet Supply Chain: Corona Pandemic Effects," Journal of Industrial Management Perspective, vol. 13, no. 1, pp. 199-217, 2023, https://doi.org/ 10.48308/jimp.13.1.199. (In Persian) [3] S. K. Kasi, "Pharmaceutical Drug Serialization in the Supply Chain," International Journal for Research in Applied Science & Engineering Technology, vol. 11, no. 8, pp. 99-103, 2023, doi: https://doi.org/10.22214/ijraset.2023.55130. [4] M. Rafieian Esfahani, B. Yazdani, M. Barati, A. R. Naghsh, and N. Janatian, "Designing Supply Chain Sustainability Maturity Model with a Continuous Improvement Approach (Case Study: pharmaceutical Industry of Iran)," Industrial Supply Chain Management, vol. 25, no. 81, pp. 43-66, 2024, dor: 20.1001.1.20089198.1402.25.81.3.1. (In Persian) [5] A. Albert-Cromarias and C. Dos Santos, "Coopetition between French healthcare providers: an analysis in terms of proximity," Supply Chain Forum: An International Journal, vol. 21, no. 2, pp. 69-78, 2020, https://doi.org/10.1080/16258312.2020.1718547. [6] S. M. Bez and F. Le Roy, "Open Innovation and Coopetition," in World Open Innovation Conférence, 2022. https://hal.science/hal-03920452/document [7] M. J. Yousaf and A. Waheed, "Does coopetition foster value creation? an empirical analysis of dyadic and multiple coopetitors," Remittances Review, vol. 9, no. 1, pp. 368-401, 2024, doi: https://doi.org/10.33182/rr.vx9il.31. [8] L. Corbo, S. Kraus, B. Vlačić, M. Dabić, A. Caputo, and M. M. Pellegrini, "Coopetition and innovation: A review and research agenda," Technovation, vol. 122, p. 102624, 2023. https://doi.org/10.1016/j.technovation.2022.102624 [9] L. d. S. Nascimento, J. C. da Costa Júnior, V. S. Salazar, and A. F. Chim-Miki, "Coopetition in social entrepreneurship: A strategy for social value devolution," International Journal of Emerging Markets, vol. 18, no. 9, pp. 2176-2197, 2023. https://doi.org/10.1108/IJOEM-09-2020-1062 [10] A. Gelei and I. Dobos, "Modelling the Performance Consequences of Coopetition in Business Relationships–a Quantitative Approach," Periodica Polytechnica Social and Management Sciences, vol. 32, no. 1, pp. 1-12, 2024, doi: https://doi.org/10.3311/PPso.22140. [11] M. Tomaszewski, "Chosen factors influencing coopetition in western Poland in the 2009-2011 period," Acta Scientiarum Polonorum. Oeconomia, vol. 12, no. 4, pp. 123–131, 2013. [Online]. Available: https://aspe.sggw.edu.pl/article/view/523. [12] K. S. Chin, B. L. Chan, and P. K. Lam, "Identifying and prioritizing critical success factors for coopetition strategy," Industrial Management & Data Systems, vol. 108, no. 4, pp. 437-454, 2008. https://doi.org/10.1108/02635570810868326 [13] W. Mierzejewska, R. Górska, M. Aluchna, A. Krejner-Nowecka, and P. Dziurski, "Understanding drivers of intrafirm coopetition: perspective of corporate groups," Central European Management Journal, vol. 31, no. 2, pp. 169-188, 2023. https://doi.org/10.1108/CEMJ-12-2021-0148 [14] F. M. Garraffo and S. L. Siregar, "Coopetition among competitors in global industries: drivers that lead to coopetitive agreements," Competitiveness Review: An International Business Journal, vol. 32, no. 3, pp. 428-454, 2022, doi: https://doi.org/10.1108/CR-04-2021-0055.
[15] A. Albert-Cromarias and C. Dos Santos, "Coopetition in healthcare: Heresy or reality? An exploration of felt outcomes at an intra-organizational level," Social science & medicine, vol. 252, p. 112938, 2020, doi: https://doi.org/10.1016/j.socscimed.2020.112938. [16] D. Westra, F. Angeli, M. Carree, and D. Ruwaard, "Coopetition in health care: A multi-level analysis of its individual and organizational determinants," Social Science & Medicine, vol. 186, pp. 43-51, 2017. https://doi.org/10.1016/j.socscimed.2017.05.051 [17] C. Blázquez-Jiménez and J. R. Sanchis, "Inter-business coopetition. Theoretical description and application to technological sectors," RETOS. Revista de Ciencias de la Administración y Economía, vol. 13, no. 26, pp. 325-340, 2023. https://doi.org/10.17163/ret.n26.2023.09. [18] C. Devece, D. E. Ribeiro-Soriano, and D. Palacios-Marqués, "Coopetition as the new trend in inter-firm alliances: literature review and research patterns," Review of Managerial Science, vol. 13, pp. 207-226, 2019, doi: DOI: 10.1007/s11846-017-0245-0. https://doi.org/10.1007/s11846-017-0245-0. [19] B. Segrestin, "Partnering to explore: The Renault–Nissan Alliance as a forerunner of new cooperative patterns," Research policy, vol. 34, no. 5, pp. 657-672, 2005, doi: https://doi.org/10.1016/j.respol.2005.02.006. [20] D. R. Gnyawali and B.-J. R. Park, "Co-opetition between giants: Collaboration with competitors for technological innovation," Research policy, vol. 40, no. 5, pp. 650-663, 2011. https://doi.org/10.1016/j.respol.2011.01.009 [21] Z. Zacharia, M. Plasch, U. Mohan, and M. Gerschberger, "The emerging role of coopetition within inter-firm relationships," The International Journal of Logistics Management, vol. 30, no. 2, pp. 414-437, 2019, https://doi.org/10.1108/IJLM-02-2018-0021. [22] L. Nadine, M. Abraham, and J. H. Chan, "The coopetition model in the tourism sector: the proliferation of reusable cup-sharing schemes," in Value proposition to tourism coopetition: cases and tools, A. Chim-Miki and R. Costa Eds.: Emerald, 2024. http://gala.gre.ac.uk/id/eprint/46723 [23] A. A. Lado, N. G. Boyd, and S. C. Hanlon, "Competition, cooperation, and the search for economic rents: A syncretic model," Academy of management review, vol. 22, no. 1, pp. 110-141, 1997, doi: https://doi.org/10.2307/259226. [24] W. Mierzejewska and P. Dziurski, Business Groups and Strategic Coopetition. Routledge New York, London, 2023. https://www.amazon.com/Strategic-Coopetition-Routledge-Management-Organizations/dp/1032349859 [25] E. Hedayati, M. Zeinalnezhad, and S. Samiallah, "Identify and Rank Barriers to the Use of Blockchain Technology in the Sustainable Supply Chain of the Food Industry," Supply Chain Management, vol. 26, no. 82, pp. 17-42, 2024. [Online]. Available: Dor: 20.1001.1.20089198.1403.26.82.2.9. (In Persian) [26] W.-W. Wu and Y.-T. Lee, "Developing global managers’ competencies using the fuzzy DEMATEL method," Expert systems with applications, vol. 32, no. 2, pp. 499-507, 2007. https://doi.org/10.1016/j.eswa.2005.12.005 [27] S. Opricovic and G.-H. Tzeng, "Defuzzification within a multicriteria decision model," International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 11, no. 05, pp. 635-652, 2003, doi: DOI:10.1142/S0218488503002387. https://doi.org/10.1142/S0218488503002387. [28] F. Alibakhshi, M. Modiri, C. Valmohammadi, And G. R. Hashemzadeh, "Presenting a Model for Supply Chain Resilience Assessment in the Country’s Medical Centers (Qualitative and Quantitative Approach)," Supply Chain Management, vol. 25, no. 80, pp. 65-88, 2023. [Online]. Available: Dor: 20.1001.1.20089198.1402.25.80.5.1. (In Persian)
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آمار تعداد مشاهده مقاله: 66 |
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