ارائه الگویی برای زنجیره تامین چابک با رویکرد فراترکیب

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری مدیریت بازاریابی بین‌الملل، دانشکده علوم اجتماعی و اقتصادی، دانشگاه الزهرا، تهران، ایران

2 استاد، گروه مدیریت، دانشکده علوم اجتماعی و اقتصادی، دانشگاه الزهرا، تهران، ایران

3 دانشیار، گروه مدیریت، دانشکده علوم اجتماعی و اقتصادی، دانشگاه الزهرا، تهران، ایران

چکیده

سازمان‌ها درمحیط تجاری پویا‌، از زنجیره تامین چابک به‌عنوان استراتژی کلیدی برای مقابله با بی‌ثباتی‌ها استفاده می‌کنند. هدف این پژوهش مرور نظام‌مند ادبیات زنجیره تامین چابک با روش فراترکیب جهت ارائه مدلی جامع در این حوزه می‌باشد. در این تحقیق روش فراترکیب با شیوه هفت مرحله‌ای سندلوسکی و بارسو (200۶) انجام ‌شده است. بدین منظور پس از طی گام‌های این روش و تجزیه و تحلیل مقالات در نهایت 41 مقاله مورد بررسی قرار گرفته و167 کد استخراج شده است. پس از دسته‌‌‌بندی کدها، سه دسته ابعاد چابکی، عوامل موثر بر چابکی و پیامدهای چابکی که بر زنجیره تأمین چابک تاثیر گذاشته و از آن تاثیر می‌گیرند؛ برای ارائه الگو معرفی شده‌اند که در نهایت یک مفهوم کلی مزیت رقابتی برای پیامدهای چابکی، شش مفهوم کلی حساسیت به بازار، یکپارچگی اطلاعات/تکنولوژی، انعطاف، یکپارچگی، شراکت استراتژیک و رهبری برای ابعاد چابکی و پنج مفهوم کلی اقتصاد، بازار و رقابت، محیط، اجتماع و تکنولوژی برای عوامل موثر بر چابکی شناسایی شده‌اند.

کلیدواژه‌ها


عنوان مقاله [English]

Presenting a pattern for agile supply chain by meta synthesis approach

نویسندگان [English]

  • Sama Banifazel 1
  • Mohammad Ali Babaei Zakliki 2
  • Masoumeh Hosseinzadeh Shahri 3
1 PhD Student in International Marketing Management, Faculty of Social and Economic Sciences, Al-Zahra University, Tehran, Iran
2 Professor, Department of Management, Faculty of Social and Economic Sciences, Al-Zahra University, Tehran, Iran
3 Associate Professor, Department of Management, Faculty of Social and Economic Sciences, Al-Zahra University, Tehran, Iran
چکیده [English]

Organizations in dynamic commercial environments, use agile supply chain as the key strategy for confronting market instability. The purpose of the present research is to have a systematic review of Agile Supply Chain literature using meta-synthesis method in order to provide an overall model in this field. Meta-synthesis technique is implemented in this study utilizing the seven-step method of Sandelowski and Barroso (2006). After taking the respective steps of this method and upon analyzing various articles, 41 articles are finally inspected and 167 codes are derived. Eventually after categorizing the codes, three groups including agility consequences, agility enablers and agility drivers, which affect and are affected by agile supply chain, have been introduced to presenting a pattern. Finally, a general concept of competitive advantage for agility consequences, six concepts of market sensitivity, information/technology integration, flexibility, integration, strategic partnership and leadership for agility enablers and five general concepts of economic, market & competition, environment, social and technology for agility drivers have been identified.

کلیدواژه‌ها [English]

  • Agile supply chain (ASC)
  • Meta synthesis
  • Agility Consequences
  • Agility Enablers
  • Agility Drivers
[1]             Azar, A., Tizro, A., Baarz, A.M., & Rostami, A.N., -Modeling the Agility of Supply Chain UsingInterpretive Structural Modeling Approach. mdrsjrns, 2011. 14(4): pp. 1-25 (In Persian).
[2]             khatami firooz abadi, s.m.a., bamdad soofi, j., & bigdeli, e., Classification of Effective Factors on Agility with QFD approach (case study: Part Industry). Management Research in Iran, 2014. 17(4): pp. 119-138 (In Persian).
[3]             Agarwal, A., Shankar, R., & Tiwari, M., Modeling agility of supply chain. Industrial marketing management, 2007. 36(4): pp. 443-457.
[4]      Gligor, D., Gligor, N., Holcomb, M., & Bozkurt, S., Distinguishing between the concepts of supply chain agility and resilience. The International Journal of Logistics Management, 2019.
[5]      Ismail, H. & Sharifi, H., A balanced approach to building agile supply chains. International Journal of Physical Distribution & Logistics Management, 2006. 36(6): pp. 431-444.
[6]             Centobelli, P., Cerchione, R., & Ertz, M., Agile supply chain management: where did it come from and where will it go in the era of digital transformation? Industrial Marketing Management, 2020. 90: pp. 324-345.
[7]             Lambert, D.M. & Cooper, M.C., Issues in supply chain management. Industrial marketing management, 2000. 29(1): pp. 65-83.
[8]             Piya, S., Shamsuzzoha, A., & Khadem, M., An approach for analysing supply chain complexity drivers through interpretive structural modelling. International Journal of Logistics Research and Applications, 2020. 23(4): pp. 311-336.
[9]             Farzaneh, M., Tayebeh, A., & Reza, A.H., Designing an agile supply chain network in terms of demand dependence on price. Modern Research in Decision Making, 2017. 2(1): pp. 179-206 (In Persian).
[10]          Govindan, K., Seuring, S., Zhu, Q., & Azevedo, S.G., Accelerating the transition towards sustainability dynamics into supply chain relationship management and governance structures. Journal of Cleaner Production, 2016. 112: pp. 1813-1823.
[11]          Gosling, J., Purvis, L., & Naim, M.M., Supply chain flexibility as a determinant of supplier selection. International Journal of Production Economics, 2010. 128(1): pp. 11-21.
[12]          Scott, C., Lundgren, H., & Thompson, P., Guide to supply chain management. 2011: Springer.
[13]          Dubey, R., Gunasekaran, A., & Childe, S.J., Big data analytics capability in supply chain agility. Management Decision, 2019.
[14]          Shekarian, M., Nooraie, S.V.R., & Parast, M.M., An examination of the impact of flexibility and agility on mitigating supply chain disruptions. International Journal of Production Economics, 2020. 220: pp. 107438.
[15]          Bottani, E., Profile and enablers of agile companies: An empirical investigation. International Journal of Production Economics, 2010. 125(2): pp. 251-261.
[16]          Gligor, D.M., Esmark, C.L., & Holcomb, M.C., Performance outcomes of supply chain agility: when should you be agile? Journal of Operations Management, 2015. 33: pp. 71-82.
[17]   .      Miles, R.E. & Snow, C.C., Causes of failure in network organizations. California management review, 1992. 34(4): pp. 53-72.
[18]          Christopher, M. & Towill, D., An integrated model for the design of agile supply chains. International Journal of Physical Distribution & Logistics Management, 2001.
[19]          Balaji, M., Velmurugan, V., & Subashree, C., OriginalTADS: An assessment methodology for agile supply chains. Journal of Applied Research and Technology, 2015. 13(5).
[20]          Yusuf, Y.Y., Gunasekaran, A., Adeleye, E.O., & Sivayoganathan, K., Agile supply chain capabilities: Determinants of competitive objectives. European journal of operational research, 2004. 159(2): pp. 379-392.
[21]          Gunasekaran, A., Dubey, R., & Singh, S.P., Flexible sustainable supply chain network design: Current trends, opportunities and future. 2016, Springer.
[22]          Costantino, N., Dotoli, M., Falagario, M., Fanti, M.P., & Mangini, A.M., A model for supply management of agile manufacturing supply chains. International Journal of Production Economics, 2012. 135(1): pp. 451-457.
[23]          Piya, S., Shamsuzzoha, A., Khadem, M., & Al-Hinai, N., Identification of critical factors and their interrelationships to design agile supply chain: special focus to oil and gas industries. Global Journal of Flexible Systems Management, 2020. 21(3): pp. 263-281.
[24]          Rehman, A.U., Al-Zabidi, A., AlKahtani, M., Umer, U., & Usmani, Y.S., Assessment of Supply Chain Agility to Foster Sustainability: Fuzzy-DSS for a Saudi Manufacturing Organization. Processes, 2020. 8(5): pp. 577.
[25]          Yusuf, Y., Menhat, M.S., Abubakar, T., & Ogbuke, N.J., Agile capabilities as necessary conditions for maximising sustainable supply chain performance: An empirical investigation. International Journal of Production Economics, 2020. 222: pp. 107501.
[26]          Alzoubi, H. & Yanamandra, R., Investigating the mediating role of information sharing strategy on agile supply chain. Uncertain Supply Chain Management, 2020. 8(2): pp. 273-284.
[27]          Rayat Pisha, S., Ahmadi Kahnali, R., & Abbasnejad, T., Applying the qualitative approach meta syntheses for provide a comprehensive model of assessment of the sustainability in supply chain. Modern Research in Decision Making, 2016. 1(1): pp. 139-166 (In Persian).
[28]          Stern, P.N. & Harris, C.C., Women's health and the self‐care paradox. A model to guide self‐care readiness. Health care for women international, 1985. 6(1-3): pp. 151-163.
[29]          Walsh, D. & Downe, S., Meta‐synthesis method for qualitative research: a literature review. Journal of advanced nursing, 2005. 50(2): pp. 204-211.
[30]          Sandelowski, M. & Barroso, J., Handbook for synthesizing qualitative research. 2006: springer publishing company.
[31]          Noblit, G.W. & Hare, R.D., Meta-ethnography: Synthesizing qualitative studies. Vol. 11. 1988: sage.
[32]          Yahyapour, S., Shamizanjani, M., & Mosakhani, M., A conceptual breakdown structure for knowledge management benefits using meta-synthesis method. Journal of Knowledge Management, 2015. 19.
[33]          Campbell, R., Pound, P., Pope, C., Britten, N., Pill, R., Morgan, M., & Donovan, J., Evaluating meta-ethnography: a synthesis of qualitative research on lay experiences of diabetes and diabetes care. Social science & medicine, 2003. 56(4): pp. 671-684.
[34]          Chenail, R.J., Learning to Appraise the Quality of Qualitative Research Articles: A Contextualized Learning Object for Constructing Knowledge. Qualitative Report, 2011. 16(1): pp. 236-248.
[35]          Lin, C.-T., Chiu, H., & Chu, P.-Y., Agility index in the supply chain. International Journal of production economics, 2006. 100(2): pp. 285-299.
[36]          Williams, B.D., Roh, J., Tokar, T., & Swink, M., Leveraging supply chain visibility for responsiveness: The moderating role of internal integration. Journal of Operations Management, 2013. 31(7-8): pp. 543-554.
[37]          Gou, J., Ma, T., & Li, J., A research on supply chain integration strategy based on virtual value net, in Research and Practical Issues of Enterprise Information Systems II. 2008, Springer. p. 887-891.
[38]          Barney, J., Firm resources and sustained competitive advantage. Journal of management, 1991. 17(1): pp. 99-120.
[39]          Chen, Z. & Dubinsky, A.J., A conceptual model of perceived customer value in e‐commerce: A preliminary investigation. Psychology & Marketing, 2003. 20(4): pp. 323-347.
[40]          Abdelilah, B., El Korchi, A., & Balambo, M.A., Flexibility and agility: evolution and relationship. Journal of Manufacturing Technology Management, 2018.
[41]          Gligor, D.M., The role of demand management in achieving supply chain agility. Supply Chain Management: An International Journal, 2014.