طراحی مدل نقش رسانه‌های اجتماعی در مدیریت بحران و تاب‌آوری زنجیره تامین دیجیتال
فرهاد جهانگیری
1
(
دانشجوی دکتری گروه مدیریت بازرگانی، واحد سمنان، دانشگاه آزاد اسلامی، سمنان، ایران
)
ابوالفضل دانایی
2
(
دانشیارگروه مدیریت رسانه، واحد سمنان، دانشگاه آزاد اسلامی، سمنان، ایران
)
مهسا اکبری
3
(
استادیارگروه مدیریت بازرگانی، واحد کرج، دانشگاه آزاد اسلامی، کرج، ایران
)
یونس وکیل الرعایا
4
(
دانشیارگروه مدیریت، مرکز تحقیقات کارآفرینی، ایده پردازی و تجاری سازی، واحد سمنان، دانشگاه آزاد اسلامی، سمنان، ایران
)
کلید واژه: رسانه‌های اجتماعی, واژگان کلیدی: زنجیره تامین تاب‌آور, زنجیره تامین دیجیتال,
چکیده مقاله :
هدف از انجام این پژوهش، طراحی مدل نقش رسانه های اجتماعی در تاب آوری زنجیره تأمین دیجیتال در شرایط بحرانی است. در پژوهش حاضر جامعه بخش کیفی 10 نفر از خبرگان بوده و انتخاب نمونه آن تمام شماری، جامعه کمی پژوهش شامل کارکنان شرکت مپنا به تعداد 500 نفر بوده اند که از طریق جدول کوهن 189 نفر به عنوان نمونه آماری تعیین شده است. روش این پژوهش از نوع بنیادی-کاربردی، برحسب نوع داده آمیخته از نوع اکتشافی و روش گردآوری داده ها پژوهش پیمایشی بوده است. ابزار گردآوری داده ها مصاحبه و پرسشنامه بود که روایی آن توسط اساتید و کارشناسان به صورت محتوایی مورد تائید قرار گرفت و پایایی پرسشنامه با استفاده از ضریب آلفای کرونباخ مناسب محاسبه شده است. در طراحی مدل نقش رسانه های اجتماعی در تاب‌آوری زنجیره تأمین دیجیتال در شرایط بحرانی در بخش کیفی از روش فراترکیب استفاده شده است. در نهایت 118 کد باز 43 کد محوری و 13 کد انتخابی استخراج شده است 13 کد انتخابی پژوهش در قالب پنج دسته کلی: شرایط علی، شرایط زمینه‌ای، شرایط مداخله‌گر، راهبردها و پیامدها قرار گرفته‌اند. که اجزای مدل پارادایمی نقش رسانه‌های اجتماعی در تاب‌آوری زنجیره تأمین دیجیتال در شرایط بحرانی می باشند. بر اساس خروجی معادلات ساختاری مدل اولیه پژوهش تایید و اعتبار آن اثبات و اولویت بندی های مربوط به مولفه های مدل مذکور بوسیله نموداری راداری مشخص گردیده است. مقوله ریسک‌پذیری فناوری در رتبه اول، مقوله چرخه نقدینگی در رتبه دوم، مقوله همکاری و برون سپاری در رتبه سوم اهمیت قرار گرفتند.
چکیده انگلیسی :
The purpose of this research is to design a model of the role of social media in internet resilience in critical situations. In the current research, the qualitative part of the community was 10 people and the total sample number, the quantitative research community included 500 employees of Mapna company, the statistical sample was 189. Research Methodology.The method of this research. It is of fundamental-applied type, according to the combined type of exploratory type and data collection method, it is a survey. The tools of data collection were interviews and questionnaires, the validity of which was confirmed by professors and experts, and the reliability of the questionnaire was calculated using Cronbach's alpha.In the qualitative part, metacombination method is used. Finally, 118 open codes, 43 central codes and 13 selective codes have been extracted. 13 selected research codes are placed in the form of five general categories: causal conditions, background conditions, intervening conditions, strategies and consequences. which are the components of the research model. Based on the output of the structural equations of the initial research model, its validity has been confirmed and the prioritization of the components of the mentioned model has been determined by the radar diagram. "Technology risk tolerance" category was ranked first, "liquidity cycle" group was ranked second, and "collaboration and outsourcing" group was ranked third.
Abdel-Basset, M., Manogaran, G., & Mohamed, M. (2018). Internet of Things (IoT) and its impact on supply chain: A framework for building smart, secure and efficient systems. Future Generation Computer System, 86(1), 614-628. doi: 10.1016/j.future.2018.04.051
Abu Anuri, I., & Lajordi, H. (2015). Estimation of the composite index of economic resilience and vulnerability: a case study of OPEC member countries. Journal of Energy Policy Research and Planning, 4(1), 197-227. [In Persian] doi: 10.1177/1524838005277438
Azar, A., & Khorrami, A. (2019). Designing the resilience model of the supply chain of the pharmaceutical industry in crisis conditions with the interpretive structural modeling (ISM) approach. International business management, 10(3). [In Persian] doi:10.1177/22785337221148806
Azevedo, S. G., Carvalho, H., & Cruz Machado, V. (2019). A proposal of larg supply chain management practices and a performance measurement system. International Journal of e-Education, e-Business, e-Management and e-Learning, 1(1), 7- 14. doi: 10.7763/IJEEEE.2011.V1.2.
Bastas, A., & Liyanage K. (2018). Sustainable supply chain quality management: A systematic review. Journal of Cleaner Production,181(1), 726-44. doi: 10.1016/J.JCLEPRO.2018.01.110
Bechtsis, D. N., Tsolakis, D., Vlachos, & J. S. (2018). Intelligent Autonomous Vehicles in digital supply chains: A framework for integrating innovations towards sustainable value networks. Journal of Cleaner Production, 181(1), 60-71. doi: 10.1016/j.jclepro.2018.01.173
Beraian, N., & Sweetser, K. D. (2019). How media diet, partisan frames, candidate traits, and political organization-public relationship communication drive party reputation. Public Relations Review, 10. doi: 10.1016/j.pubrev.2020.101884
Biazzo, S., & Pannizzolo, R. (2019). The assessment of work organization in lean production: the relevance of the worker’s perspective. Integrated Manufacturing Systems, 11(1), 6-15. doi: doi.org/10.1108/09576060010303622
Carvalho, H., Barroso, A. P., Machado, V. H., Azevedo, S., & Cruz-Machado, V. (2012). Supply chain redesignfor resilience using simulation. Computers & Industrial Engineering. 62, 329-341. doi: doi.org/10.1016/j.cie.2011.10.003
Chae, B., McHaney, R., & Sheu, C. (2020). Exploring social media use in B2B supply chain operations, Kelly school of business Indiana University. Published by Elsevier, 1(1), 1-12. doi: 10.1016/j.cie.2011.10
Clark, A. J. M. (2019). Overweight/obesity among social network members has an inverse relationship with Baltimore public housing residents' BMI. Preventive medicine reports, 14(1). doi: 10.1016/j.pmedr.2019.01.013
Dekret, P. (2019). Preach wine and serve vinegar: Public relations, relationships and doublethink. Public Relations Review, 41(5), 681-688. doi:10.1016/j.pubrev.2014.02.004
Ghazanfari, M., & Fathullah, M. (2016). A comprehensive approach to supply chain management. Tehran: Iran University of Science and Technolog. [In Persian]
Ghazizadeh, M., & Colleagues, M. (2018). Integrating supply chain management approaches in the form of an extended supply chain using multi-criteria decision making techniques in Saipa Company. Journal of Scientific-Research Executive Management, 14(7), 2-13. [In Persian] doi: 10.5772/intechopen.74067
Griffin, J. (2016). Social Media Risk Management: Why It Matters and What You Need To Know. Governance Directions, 66(7), 417-419. doi: 10.1108/OIR-08-2020-0380
Gurbanpour, A., & Poya, A., & Nazimi, Sh., & Naji Azimi, Z. (2016). Designing a structural model of green supply chain management measures using fuzzy interpretive structural modeling approach. Journal of operations research in its applications, 13(4), 1-23. [In Persian] doi: 20.1001.1.22517286.2017.13.4.3.1
Haji Ali Akbari, F., & Mousavi, N. (2018). The effect of social media marketing components through brand equity on customer response in the tourism industry of Abhar city. Marketing Management, 14(42), 7-57. [In Persian] doi: 10.22034/SMSJ.2022.352106.1700
Henna, A., Beck, E., & Hall, L. (2011). Developing a capacity for organizational resilience through strategic human resource management. Human Resource Management Review, 21(1), 243-255. doi: 10.1016/J.HRMR.2010.07.001
Jafar nezhad, A., & Mohseni, M. (2015). Presenting a framework to improve resilient supply chain performance. Supply Chain Management Research Extension Quarterly, 17(48), 38-51. [In Persian] doi: 10.1016/j.fmre.2023.07.012
Jafarnejad, A., Momeni, M., Razavi Hajiagha, S. H., & Faridi Khorshidi, M. (2019). A dynamic supply chain resilience model for medical equipment’s industry. Journal of Modelling in Management, 14(3), 816-840. doi: 10.1108/JM2-11-2018-0195
Jain, V., Kumar, S., Soni, S., & Chandra, C. (2017). Supply chain resilience: model development and empirical analysis. International Journal of Production Research, 55(22), 105-117. doi: 10.1007/s40092-019-00322-2
Jamshidi Goharrizi, V., & Pourkiani, M. (2013). Investigation of design quality and RFID technology strategic criteria to manage medical sciences university libraries of Kerman. Management (Researcher), 10(31), 138-145. [In Persian]
Jasti, N., & Kodali. R. (2015). A critical review of lean supply chain management frameworks: proposed framework. Production Planning & Control, 26(13), 105-128. doi: 10.1080/09537287.2015.1004563
Jones, B. E., Squire, B., Autry, C. W., & Peteren, K. J. (2014). A Contingentresource-based perspective of supply chain resilience and robustness. Journal of Supply Chain Management, 50(3),55-73. doi: 10.1111/jscm.12050
Khodabakhsh, M., & Dehghan Nairi, M., & Imamian, A. (2017). Identification and ranking of supply chain resilience factors in critical situations with non-active defense approach. Non-active Defense, 33(1), 25-35. [In Persian]
koi, N. (2018), Intelligent Autonomous Vehicles in digital supply chains: A framework for integrating innovations towards sustainable value networks. Journal of Cleaner ProductionVolume, 181(1), 60-71. doi: 10.1016/j.jclepro.2018.01.173
Labafi, S., Roshandel Arbatani, T., & Mohammadi, D. (2016). Investigation of the role of social networks in marketing using the framework of Taylor and Okazaki (case study). Business & Engineering, 12(3), 103-114. [In Persian] doi: 10.1080/09537287.2015.1004563
Li, L., Su, F., Zhang, W., & Mao, J. Y. (2018). Digital transformation by SME entrepreneurs: a `capability perspective. Inf. Syst, J., 28 (6), 1129-1157. doi: 10.12691/jbms-11-5-1
Mehrabi, A., & Kariminjad., D. (2016). Measurement and Analysis of Resilience in Supply Chain (Case Study: Petrochemical Companies). Second International Industrial Management Conferenc. [In Persian]
Muyidi, A., & Mohseni., M. (2023). Providing a framework for improving the performance of a resilient supply chain. Promotional Scientific Quarterly of Supply Chain Management, 17(8), 1-27. [In Persian]
Nasiri, M., Ukko, J., Saunila, M., & Rantala, T. (2020). Managing the digital supply chain: The role of smart technologies. Technovation, 1, 96-97. doi: 10.1002/isaf.328
O'leary, D. E. (2011). The use of social media in the supply chain: Survey and extensions. Intelligent Systems in Accounting. Finance and Management, 18(2-3), 121-144. doi: 10.1002/isaf.319
Rajesh, R., & Ravi, V. (2015). Supplier selection in resilient supply chains: a grey relational analysis approach. Journal of Cleaner Production, 86(1), 343-359. doi: 10.1016/J.JCLEPRO.2014.08.054
Reely S., & Hinnan C. W. (2014). Understanding supply chain resilience. Supply Chain Management Review, 18(1), 34-41. doi: 10.1080/23311975.2022.2148336
Sadeghi, A., & Saifi Khabeer, H. (2019). Investigating the impact of business model resilience factors in the digital supply chain. The 6th national conference on applied research in management, accounting and healthy economy in banking, stock exchange and insurance. [In Persian]
Salimi Zawiya, G., & Shams, S. (2022). Analysis of digital supply chain management (future development trend). Iran Rubber Industry Journal, 102(2), 49-64. [In Persian] doi: 10.3390/su13179929
Samizadeh, R., & Hosseini, R. (2018). Supply Chain Management and Information Technology. Second National Information Technology Conference. [In Persian]
Singh, A., Shukla, N., & Mishra, N. (2017). Social media data analytics to improve supply chain management in food industries. Transportation Research, 5(42), 1-18. Doi:10.1016/j.tre.2017.05.008
Xiao, R., T. Yu, & X. Gong. (2012). Modeling and simulation of Ant Colony s Labor Division with Constraints for Task Allocation of Resilient Supply Chain. International Jurnal on Atrificial Intelligence Tools, 21(3), 1-19. doi: 10.1142/S0218213012400143
Yuehan Chen, R., Singh, R. K., & Shankar R. (2022). Critical success factors for implementation of supply chain management in Indian small and medium enterprises and their impact on performance. IIMB Management Review, 27(2), 92-104. doi:10.1016/j.iimb.2015.03.001
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Abdel-Basset, M., Manogaran, G., & Mohamed, M. (2018). Internet of Things (IoT) and its impact on supply chain: A framework for building smart, secure and efficient systems. Future Generation Computer System, 86(1), 614-628. doi: 10.1016/j.future.2018.04.051
Abu Anuri, I., & Lajordi, H. (2015). Estimation of the composite index of economic resilience and vulnerability: a case study of OPEC member countries. Journal of Energy Policy Research and Planning, 4(1), 197-227. [In Persian] doi: 10.1177/1524838005277438
Azar, A., & Khorrami, A. (2019). Designing the resilience model of the supply chain of the pharmaceutical industry in crisis conditions with the interpretive structural modeling (ISM) approach. International business management, 10(3). [In Persian] doi:10.1177/22785337221148806
Azevedo, S. G., Carvalho, H., & Cruz Machado, V. (2019). A proposal of larg supply chain management practices and a performance measurement system. International Journal of e-Education, e-Business, e-Management and e-Learning, 1(1), 7- 14. doi: 10.7763/IJEEEE.2011.V1.2.
Bastas, A., & Liyanage K. (2018). Sustainable supply chain quality management: A systematic review. Journal of Cleaner Production,181(1), 726-44. doi: 10.1016/J.JCLEPRO.2018.01.110
Bechtsis, D. N., Tsolakis, D., Vlachos, & J. S. (2018). Intelligent Autonomous Vehicles in digital supply chains: A framework for integrating innovations towards sustainable value networks. Journal of Cleaner Production, 181(1), 60-71. doi: 10.1016/j.jclepro.2018.01.173
Beraian, N., & Sweetser, K. D. (2019). How media diet, partisan frames, candidate traits, and political organization-public relationship communication drive party reputation. Public Relations Review, 10. doi: 10.1016/j.pubrev.2020.101884
Biazzo, S., & Pannizzolo, R. (2019). The assessment of work organization in lean production: the relevance of the worker’s perspective. Integrated Manufacturing Systems, 11(1), 6-15. doi: doi.org/10.1108/09576060010303622
Carvalho, H., Barroso, A. P., Machado, V. H., Azevedo, S., & Cruz-Machado, V. (2012). Supply chain redesignfor resilience using simulation. Computers & Industrial Engineering. 62, 329-341. doi: doi.org/10.1016/j.cie.2011.10.003
Chae, B., McHaney, R., & Sheu, C. (2020). Exploring social media use in B2B supply chain operations, Kelly school of business Indiana University. Published by Elsevier, 1(1), 1-12. doi: 10.1016/j.cie.2011.10
Clark, A. J. M. (2019). Overweight/obesity among social network members has an inverse relationship with Baltimore public housing residents' BMI. Preventive medicine reports, 14(1). doi: 10.1016/j.pmedr.2019.01.013
Dekret, P. (2019). Preach wine and serve vinegar: Public relations, relationships and doublethink. Public Relations Review, 41(5), 681-688. doi:10.1016/j.pubrev.2014.02.004
Ghazanfari, M., & Fathullah, M. (2016). A comprehensive approach to supply chain management. Tehran: Iran University of Science and Technolog. [In Persian]
Ghazizadeh, M., & Colleagues, M. (2018). Integrating supply chain management approaches in the form of an extended supply chain using multi-criteria decision making techniques in Saipa Company. Journal of Scientific-Research Executive Management, 14(7), 2-13. [In Persian] doi: 10.5772/intechopen.74067
Griffin, J. (2016). Social Media Risk Management: Why It Matters and What You Need To Know. Governance Directions, 66(7), 417-419. doi: 10.1108/OIR-08-2020-0380
Gurbanpour, A., & Poya, A., & Nazimi, Sh., & Naji Azimi, Z. (2016). Designing a structural model of green supply chain management measures using fuzzy interpretive structural modeling approach. Journal of operations research in its applications, 13(4), 1-23. [In Persian] doi: 20.1001.1.22517286.2017.13.4.3.1
Haji Ali Akbari, F., & Mousavi, N. (2018). The effect of social media marketing components through brand equity on customer response in the tourism industry of Abhar city. Marketing Management, 14(42), 7-57. [In Persian] doi: 10.22034/SMSJ.2022.352106.1700
Henna, A., Beck, E., & Hall, L. (2011). Developing a capacity for organizational resilience through strategic human resource management. Human Resource Management Review, 21(1), 243-255. doi: 10.1016/J.HRMR.2010.07.001
Jafar nezhad, A., & Mohseni, M. (2015). Presenting a framework to improve resilient supply chain performance. Supply Chain Management Research Extension Quarterly, 17(48), 38-51. [In Persian] doi: 10.1016/j.fmre.2023.07.012
Jafarnejad, A., Momeni, M., Razavi Hajiagha, S. H., & Faridi Khorshidi, M. (2019). A dynamic supply chain resilience model for medical equipment’s industry. Journal of Modelling in Management, 14(3), 816-840. doi: 10.1108/JM2-11-2018-0195
Jain, V., Kumar, S., Soni, S., & Chandra, C. (2017). Supply chain resilience: model development and empirical analysis. International Journal of Production Research, 55(22), 105-117. doi: 10.1007/s40092-019-00322-2
Jamshidi Goharrizi, V., & Pourkiani, M. (2013). Investigation of design quality and RFID technology strategic criteria to manage medical sciences university libraries of Kerman. Management (Researcher), 10(31), 138-145. [In Persian]
Jasti, N., & Kodali. R. (2015). A critical review of lean supply chain management frameworks: proposed framework. Production Planning & Control, 26(13), 105-128. doi: 10.1080/09537287.2015.1004563
Jones, B. E., Squire, B., Autry, C. W., & Peteren, K. J. (2014). A Contingentresource-based perspective of supply chain resilience and robustness. Journal of Supply Chain Management, 50(3),55-73. doi: 10.1111/jscm.12050
Khodabakhsh, M., & Dehghan Nairi, M., & Imamian, A. (2017). Identification and ranking of supply chain resilience factors in critical situations with non-active defense approach. Non-active Defense, 33(1), 25-35. [In Persian]
koi, N. (2018), Intelligent Autonomous Vehicles in digital supply chains: A framework for integrating innovations towards sustainable value networks. Journal of Cleaner ProductionVolume, 181(1), 60-71. doi: 10.1016/j.jclepro.2018.01.173
Labafi, S., Roshandel Arbatani, T., & Mohammadi, D. (2016). Investigation of the role of social networks in marketing using the framework of Taylor and Okazaki (case study). Business & Engineering, 12(3), 103-114. [In Persian] doi: 10.1080/09537287.2015.1004563
Li, L., Su, F., Zhang, W., & Mao, J. Y. (2018). Digital transformation by SME entrepreneurs: a `capability perspective. Inf. Syst, J., 28 (6), 1129-1157. doi: 10.12691/jbms-11-5-1
Mehrabi, A., & Kariminjad., D. (2016). Measurement and Analysis of Resilience in Supply Chain (Case Study: Petrochemical Companies). Second International Industrial Management Conferenc. [In Persian]
Muyidi, A., & Mohseni., M. (2023). Providing a framework for improving the performance of a resilient supply chain. Promotional Scientific Quarterly of Supply Chain Management, 17(8), 1-27. [In Persian]
Nasiri, M., Ukko, J., Saunila, M., & Rantala, T. (2020). Managing the digital supply chain: The role of smart technologies. Technovation, 1, 96-97. doi: 10.1002/isaf.328
O'leary, D. E. (2011). The use of social media in the supply chain: Survey and extensions. Intelligent Systems in Accounting. Finance and Management, 18(2-3), 121-144. doi: 10.1002/isaf.319
Rajesh, R., & Ravi, V. (2015). Supplier selection in resilient supply chains: a grey relational analysis approach. Journal of Cleaner Production, 86(1), 343-359. doi: 10.1016/J.JCLEPRO.2014.08.054
Reely S., & Hinnan C. W. (2014). Understanding supply chain resilience. Supply Chain Management Review, 18(1), 34-41. doi: 10.1080/23311975.2022.2148336
Sadeghi, A., & Saifi Khabeer, H. (2019). Investigating the impact of business model resilience factors in the digital supply chain. The 6th national conference on applied research in management, accounting and healthy economy in banking, stock exchange and insurance. [In Persian]
Salimi Zawiya, G., & Shams, S. (2022). Analysis of digital supply chain management (future development trend). Iran Rubber Industry Journal, 102(2), 49-64. [In Persian] doi: 10.3390/su13179929
Samizadeh, R., & Hosseini, R. (2018). Supply Chain Management and Information Technology. Second National Information Technology Conference. [In Persian]
Singh, A., Shukla, N., & Mishra, N. (2017). Social media data analytics to improve supply chain management in food industries. Transportation Research, 5(42), 1-18. Doi:10.1016/j.tre.2017.05.008
Xiao, R., T. Yu, & X. Gong. (2012). Modeling and simulation of Ant Colony s Labor Division with Constraints for Task Allocation of Resilient Supply Chain. International Jurnal on Atrificial Intelligence Tools, 21(3), 1-19. doi: 10.1142/S0218213012400143
Yuehan Chen, R., Singh, R. K., & Shankar R. (2022). Critical success factors for implementation of supply chain management in Indian small and medium enterprises and their impact on performance. IIMB Management Review, 27(2), 92-104. doi:10.1016/j.iimb.2015.03.001