Identification of Key Agility Variables to Improve Poultry Supply Chain Sustainability: Indonesian Case
Abstract
Abstract
All industries face new challenges after COVID-19, including the Indonesian poultry industry. As an essential food supply sector, the poultry industry supply chain must respond and adapt to new post- COVID-19 conditions. This study aims to analyze the relationship between agility and sustainability in the supply chain of the Indonesian poultry industry for facing various challenges. The method used in this research was the Interpretive Structural Modeling-“Matriced Impacts Croisés Appliquée á un Classement” (ISM-MICMAC) method. The agility and sustainability variables were validated initially by involving industrial supply chain stakeholders in the Focus Group Discussion (FGD). The study successfully modeled the relationship between agility and sustainability in the integrated supply chain of the Indonesian poultry industry. The agility variable is the driver for the sustainability of the integrated national poultry industry supply chain, with customer sensitivity being an essential key factor in improving the sustainability of the Indonesian poultry supply chain.
Keywords: COVID-19, agility, sustainability, ISM-MICMAC
Abstract
Semua industri menghadapi tantangan baru pasca COVID-19, termasuk industri unggas nasional. Rantai pasok industri unggas sebagai sektor penting untuk pasokan makanan harus mampu merespon dan beradaptasi dengan kondisi baru pasca COVID-19. Penelitian ini bertujuan untuk menganalisis hubungan antara kecepatan berpindah dan keberlanjutan pada rantai pasok industri unggas nasional dalam menghadapi berbagai tantangan. Metode yang digunakan adalah metode Interpretive Structural Modeling-Matriced Impacts Croisés Appliquée á un Classement (ISM-MICMAC). Validasi terhadap variabel kecepatan berpindah dan keberlanjutan dilakukan pada tahap awal dengan melibatkan aktor rantai pasok industri pada forum Focus Group Discussion (FGD). Hasil penelitian berupa model hubungan antara kecepatan berpindah dan keberlanjutan pada rantai pasok industri unggas nasional terintegrasi. Variabel kecepatan berpindah menjadi pendorong keberlangsungan rantai pasok industri unggas nasional yang terintegrasi dengan customer sensitivity menjadi faktor kunci yang penting untuk meningkatkan keberlanjutan rantai pasok industri unggas.
Kata kunci: COVID-19, ISM-MICMAC, keberlanjutan, kecepatan berpindah
Keywords
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Aisyah, S., Jaqin, C., & Purba, H. H. (2019). Identification of lean, agile, resilient, and green (larg) practices on agro industry Indonesia. Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019), 171, 62–69. Paris, France: Atlantis Press. https://doi.org/10.2991/icoemis-19.2019.10
Al-Zabidi, A., Rehman, A. U., & Alkahtani, M. (2021). An approach to assess sustainable supply chain agility for a manufacturing organization. Sustainability, 13(4), 1752. https://doi.org/10.3390/su13041752
Ali, P. R., Machfud, M., Sukardi, S., Noor, E., & Purnomo, D. (2021). The challenges in Indonesia poultry industry business. The 11th Annual International Conference on Industrial Engineering and Operations Management, 5433–5443. Singapore: IEOM Society International.
Allaoui, H., Guo, Y., & Sarkis, J. (2019). Decision support for collaboration planning in sustainable supply chains. Journal of Cleaner Production, 229, 761–774. https://doi.org/10.1016/j.jclepro.2019.04.367
Attri, R. (2017). Interpretive structural modelling: a comprehensive literature review on applications. International Journal of Six Sigma and Competitive Advantage, 10(3/4), 258–331. https://doi.org/10.1504/IJSSCA.2017.086597
Batra, D. (2020). The impact of the COVID-19 on organizational and information systems agility. Information Systems Management, 37(4), 361–365. https://doi.org/10.1080/10580530.2020.1821843
Bennett, N., & Lemoine, G. J. (2014). What a difference a word makes: Understanding threats to performance in a VUCA world. Business Horizons, 57(3), 311–317. https://doi.org/10.1016/j.bushor.2014.01.001
BPS. (2020a). Monthly Report of Socio-Economic Data July 2020.
BPS. (2020b). Poultry Establishment Statistics 2019. https://doi.org/10.16309/j.cnki.issn.1007-1776.2003.03.004
Calvo, J., Olmo, J. L. Del, & Berlanga, V. (2020). Supply chain resilience and agility: a theoretical literature review. International Journal of Supply Chain and Operations Resilience, 4(1), 37–69. https://doi.org/10.1504/IJSCOR.2020.105950
Caraka, R. E., Lee, Y., Kurniawan, R., Herliansyah, R., Kaban, P. A., Nasution, B. I., … Pardamean, B. (2020). Impact of COVID-19 large scale restriction on environment and economy in Indonesia. Global Journal of Environmental Science and Management, 6(Special Issue), 65–84. https://doi.org/10.22034/GJESM.2019.06.SI.07
Carvalho, H., Azevedo, S. G., & Cruz-Machado, V. (2012). Agile and resilient approaches to supply chain management: influence on performance and competitiveness. Logistics Research, 4(1–2), 49–62. https://doi.org/10.1007/s12159-012-0064-2
Dastyar, H., Mohammadi, A., & Mohamadlou, M. A. (2018). Dynamics in Logistics. In M. Freitag, H. Kotzab, & J. Pannek (Eds.), Dynamics in Logistics. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-74225-0
de Olde, E. M., van der Linden, A., olde Bolhaar, L. D., & de Boer, I. J. M. (2020). Sustainability challenges and innovations in the Dutch egg sector. Journal of Cleaner Production, 258, 120974. https://doi.org/10.1016/j.jclepro.2020.120974
Donthu, N., & Gustafsson, A. (2020). Effects of COVID-19 on business and research. Journal of Business Research, 117(June), 284–289. https://doi.org/10.1016/j.jbusres.2020.06.008
Dubey, R., Gunasekaran, A., & Childe, S. J. (2019). Big data analytics capability in supply chain agility. Management Decision, 57(8), 2092–2112. https://doi.org/10.1108/MD-01-2018-0119
Dyal, J. W., Grant, M. P., Broadwater, K., Bjork, A., Waltenburg, M. A., Gibbins, J. D., … Honein, M. A. (2020). Covid-19 among workers in meat and poultry processing facilities ― 19 States, April 2020. MMWR. Morbidity and Mortality Weekly Report, 69(18), 557–561. https://doi.org/10.15585/mmwr.mm6918e3
FAO. (2020). Guidelines to mitigate the impact of the COVID-19 pandemic on livestock production and animal health. https://doi.org/http://dx.doi.org/10.4060/ca9177en
Gagnon, B., & Hadaya, P. (2018). The Four Dimensions of Business Agility. ASATE. Retrieved from https://archipel.uqam.ca/12104/2/The four dimensions of business agility.pdf
Ghobakhloo, M. (2020). Industry 4.0, digitization, and opportunities for sustainability. Journal of Cleaner Production, 252, 119869. https://doi.org/10.1016/j.jclepro.2019.119869
Hasanuzzaman, & Bhar, C. (2019). Development of a framework for sustainable improvement in performance of coal mining operations. Clean Technologies and Environmental Policy, 21(5), 1091–1113. https://doi.org/10.1007/s10098-019-01694-0
Horney, N., Pasmore, B., & O’Shea, T. (2010). Leadership agility: A business imperative for a VUCA world. People & Strategy, 33(4), 32–38.
Hu, K.-H., Chen, F.-H., Hsu, M.-F., Yao, S., & Hung, M.-C. (2021). Identification of the critical factors for global supply chain management under the COVID-19 outbreak via a fusion intelligent decision support system. Axioms, 10(2), 61. https://doi.org/10.3390/axioms10020061
Ivanov, D. (2020a). Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transportation Research Part E: Logistics and Transportation Review, 136, 101922. https://doi.org/10.1016/j.tre.2020.101922
Ivanov, D. (2020b). Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic. Annals of Operations Research. https://doi.org/10.1007/s10479-020-03640-6
Jermsittiparsert, K., & Rungsrisawat, S. (2019). Impact strategic sourcing, supplier innovativeness, and information sharing on supply chain agility. Humanities & Social Sciences Reviews, 7(4), 132–140. https://doi.org/10.18510/hssr.2019.7418
Jiang, X., Wang, H., Guo, X., & Gong, X. (2019). Using the FAHP, ISM, and MICMAC approaches to study the sustainability influencing factors of the last mile delivery of rural e-commerce logistics. Sustainability, 11(14), 3937. https://doi.org/10.3390/su11143937
Kamble, S. S., Gunasekaran, A., Parekh, H., & Joshi, S. (2019). Modeling the internet of things adoption barriers in food retail supply chains. Journal of Retailing and Consumer Services, 48(January), 154–168. https://doi.org/10.1016/j.jretconser.2019.02.020
Laanti, M., Simila, J., & Abrahamsson, P. (2013). Systems, Software and Services Process Improvement. In F. McCaffery, R. V. O’Connor, & R. Messnarz (Eds.), Communications in Computer and Information Science. Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-39179-8
Li, X., Ghadami, A., Drake, J. M., Rohani, P., & Epureanu, B. I. (2021). Mathematical model of the feedback between global supply chain disruption and COVID-19 dynamics. Scientific Reports, 11(1), 15450. https://doi.org/10.1038/s41598-021-94619-1
Lukashenok, T., & Solovyov, I. (2020). Production process modeling as a way of increasing efficiency of poultry industry in the Sverdlovsk Region. Proceedings of the International Scientific Conference The Fifth Technological Order: Prospects for the Development and Modernization of the Russian Agro-Industrial Sector (TFTS 2019), 393(Tfts 2019), 333–337. Paris, France: Atlantis Press. https://doi.org/10.2991/assehr.k.200113.198
Luthra, S., & Mangla, S. K. (2018). When strategies matter: Adoption of sustainable supply chain management practices in an emerging economy’s context. Resources, Conservation and Recycling, 138, 194–206. https://doi.org/10.1016/j.resconrec.2018.07.005
Mangla, S. K., Luthra, S., Rich, N., Kumar, D., Rana, N. P., & Dwivedi, Y. K. (2018). Enablers to implement sustainable initiatives in agri-food supply chains. International Journal of Production Economics, 203, 379–393. https://doi.org/10.1016/j.ijpe.2018.07.012
McCormick, D. (2009). Version 3.0. BioTechniques, 46(2), 77. https://doi.org/10.2144/000113056
Mohanty, M. (2018). Assessing sustainable supply chain enablers using total interpretive structural modeling approach and fuzzy-MICMAC analysis. Management of Environmental Quality: An International Journal, 29(2), 216–239. https://doi.org/10.1108/MEQ-03-2017-0027
Motadel, M., Toloie-Eshlaghy, A., & Halvachi-Zadeh, D. (2011). Assessment of supply chain agility in the automotive industry of Tehran. European Journal of Scientific Research, 61(2), 210–229.
Murugan, S., Rajavel, S., Aggarwal, A. K., & Singh, A. (2020). Volatility, uncertainty, complexity and ambiguity (VUCA) in context of the COVID-19 pandemic: Challenges and way forward. International Journal of Health Systems and Implementation Research, 4(2), 10–16.
Nandi, S., Sarkis, J., Hervani, A. A., & Helms, M. M. (2021). Redesigning supply chains using blockchain-enabled circular economy and COVID-19 experiences. Sustainable Production and Consumption, 27, 10–22. https://doi.org/10.1016/j.spc.2020.10.019
Osei, C., Amankwah-Amoah, J., Khan, Z., Omar, M., & Gutu, M. (2019). Developing and deploying marketing agility in an emerging economy: the case of Blue Skies. International Marketing Review, 36(2), 190–212. https://doi.org/10.1108/IMR-12-2017-0261
Poduval, P. S., Pramod, V. R., & V. P., J. R. (2015). Interpretive Structural Modeling (ISM) and its application in analyzing factors inhibiting implementation of Total Productive Maintenance (TPM). International Journal of Quality & Reliability Management, 32(3), 308–331. https://doi.org/10.1108/IJQRM-06-2013-0090
Rehman, A. U., Al-Zabidi, A., AlKahtani, M., Umer, U., & Usmani, Y. S. (2020). Assessment of supply chain agility to foster sustainability: Fuzzy-DSS for a Saudi manufacturing organization. Processes, 8(5), 577. https://doi.org/10.3390/pr8050577
Schmidhuber, J., Pound, J., & Qiaou, B. (2020). COVID-19: Channels of transmission to food and agriculture. FAO Publications. https://doi.org/https://doi.org/10.4060/ca8430en
Singh, A. K., & Vinodh, S. (2017). Modeling and performance evaluation of agility coupled with sustainability for business planning. Journal of Management Development, 36(1), 109–128. https://doi.org/10.1108/JMD-10-2014-0140
Singh, R. K., & Gupta, A. (2020). Framework for sustainable maintenance system: ISM–fuzzy MICMAC and TOPSIS approach. Annals of Operations Research, 290(1–2), 643–676. https://doi.org/10.1007/s10479-019-03162-w
Tarigan, Z. J. H., Siagian, H., & Jie, F. (2021). Impact of internal integration, supply chain partnership, supply chain agility, and supply chain resilience on sustainable advantage. Sustainability, 13(10), 5460. https://doi.org/10.3390/su13105460
Ting, D. S. W., Carin, L., Dzau, V., & Wong, T. Y. (2020). Digital technology and COVID-19. Nature Medicine, 26(4), 459–461. https://doi.org/10.1038/s41591-020-0824-5
Ulrich, D., & Yeung, A. (2019). Agility: the new response to dynamic change. Strategic HR Review, 18(4), 161–167. https://doi.org/10.1108/SHR-04-2019-0032
Yadav, S., & Singh, S. P. (2020). An integrated fuzzy-ANP and fuzzy-ISM approach using blockchain for sustainable supply chain. Journal of Enterprise Information Management, 34(1), 54–78. https://doi.org/10.1108/JEIM-09-2019-0301
Yin, S., Zhang, N., & Dong, H. (2020). Preventing COVID-19 from the perspective of industrial information integration: Evaluation and continuous improvement of information networks for sustainable epidemic prevention. Journal of Industrial Information Integration, 19(June), 100157. https://doi.org/10.1016/j.jii.2020.100157
Yunita, I., & Hasibuan, S. (2021). The sustainability challenges of the poultry industry during pandemic Covid-19. IOP Conference Series: Earth and Environmental Science, 733(1), 012007. https://doi.org/10.1088/1755-1315/733/1/012007
https://doi.org/10.21776/ub.industria.2022.011.02.3
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