The Analysis of the Digitalization Role on Towards Supply Chain Resilience and Sustainable (Case Study: MSME in Balikpapan City)

Authors

  • Wahyu Ismail Kurnia Industrial Engineering Department, Faculty of Industrial Technology, Universitas Balikpapan, Balikpapan, 76114, Indonesia
  • Dimaz Harits Industrial Engineering Department, Faculty of Industrial Technology, Universitas Balikpapan, Balikpapan, 76114, Indonesia
  • Winda Nur Cahyo Industrial Engineering Department, Faculty of Industrial Tehnology, Universitas Islam Indonesia, Yogyakarta, 55584, Indonesia

DOI:

https://doi.org/10.12928/si.v23i1.277

Keywords:

Digitalization, Supply chain resilience, Supply chain sustainability

Abstract

The COVID-19 pandemic has caused significant changes in almost all sectors, including disruptions in the global supply chain. Acceleration of supply chain recovery to create supply chain resilience and sustainability by implementing various strategies, including digitalization. Empirical evidence is still very limited in the literature, especially in studies involving supply chain actors from MSMES with different characteristics and locations. Therefore, this study aims to address this problem by analysis the role of digitalization in improving supply chain resilience and sustainability based on a case study of MSMES in Balikpapan City. Three hypotheses have been proposed to answer the research problem. This study uses the Structural Equation Modelling (SEM) approach with the help of IBM AMOS software version 22 for hypothesis testing. Questionnaires were distributed to 200 MSME actors with different characteristics in Balikpapan City. The results are: (1) the role of digitalization has a significant positive effect on supply chain resilience; (2) the role of digitalization has a positive effect on supply chain resilience; (3) supply chain resilience has a significant positive effect on supply chain sustainability. Despite the differences in characteristics of business models and business sectors, supply chain resilience and sustainability can be improved by using appropriate digital technology in each supply chain. The contributes of this study shows that there is a potential for good supply chain visibility that allows every actor along the supply chain to monitor, transfer, and improve the accuracy of decision making accurately and quickly, to handle any disruptions and improve supply chain sustainability.

References

Abbas, J. (2020). Impact of total quality management on corporate sustainability through the mediating effect of knowledge management. Journal of Cleaner Production, 244, 118806. https://doi.org/10.1016/j.jclepro.2019.118806

Ageron, B., Bentahar, O., & Gunasekaran, A. (2020). Digital supply chain: challenges and future directions. Supply Chain Forum, 21(3), 133–138. https://doi.org/10.1080/16258312.2020.1816361

Andres, B., & Marcucci, G. (2020). A strategies alignment approach to manage disruptive events in collaborative networks. Sustainability (Switzerland), 12(7). https://doi.org/10.3390/su12072641

Bargoni, A., Bertoldi, B., Giachino, C., & Santoro, G. (2022). Competitive strategies in the agri-food industry in Italy during the COVID-19 pandemic: an application of K -means cluster analysis. British Food Journal, 124(12), 4782–4799. https://doi.org/10.1108/BFJ-07-2021-0738

Belhadi, A., Kamble, S. S., Venkatesh, M., Chiappetta Jabbour, C. J., & Benkhati, I. (2022). Building supply chain resilience and efficiency through additive manufacturing: An ambidextrous perspective on the dynamic capability view. International Journal of Production Economics, 249(January), 108516. https://doi.org/10.1016/j.ijpe.2022.108516

Belhadi, A., Mani, V., Kamble, S. S., Khan, S. A. R., & Verma, S. (2021). Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation. Annals of Operations Research, 0123456789. https://doi.org/10.1007/s10479-021-03956-x

Cabral, I., Grilo, A., & Cruz-Machado, V. (2012). An Information Model for Lean, Agile, Resilient and Green Supply Chain Management. International Journal of Production Research, 50(17), 4830–4845. http://run.unl.pt/handle/10362/6620

Canwat, V. (2024). COVID-19-related supply chain disruptions: resilience and vulnerability of micro, small and medium enterprises. Cogent Business & Management, 11(1). https://doi.org/10.1080/23311975.2024.2315691

Carissimi, M. C., Creazza, A., & Colicchia, C. (2023). Crossing the chasm: investigating the relationship between sustainability and resilience in supply chain management. Cleaner Logistics and Supply Chain, 7, 1–17. https://doi.org/10.1016/j.clscn.2023.100098

Carter, C. R., & Rogers, D. S. (2008). A framework of sustainable supply chain management: Moving toward new theory. International Journal of Physical Distribution and Logistics Management, 38(5), 360–387. https://doi.org/10.1108/09600030810882816

Cavalcante, I. M., Frazzon, E. M., Forcellini, F. A., & Ivanov, D. (2019). A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing. International Journal of Information Management, 49, 86–97. https://doi.org/10.1016/j.ijinfomgt.2019.03.004

Choi, T. Y., & Hong, Y. (2002). Unveiling the structure of supply networks: case studies in Honda, Acura, and DaimlerChrysler. Journal of Operations Management, 20(5), 469–493. https://doi.org/10.1016/S0272-6963(02)00025-6

Chowdhury, M. M. H., & Quaddus, M. (2017). Supply chain resilience: Conceptualization and scale development using dynamic capability theory. International Journal of Production Economics, 188, 185–204. https://doi.org/10.1016/j.ijpe.2017.03.020

Christopher, M., & Peck, H. (2004). Building the Resilient Supply Chain. The International Journal of Logistics Management, 15(2), 1–14. https://doi.org/10.1108/09574090410700275

Cook, D., & Jóhannsdóttir, L. (2021). Impacts, Systemic Risk and National Response Measures Concerning COVID-19—The Island Case Studies of Iceland and Greenland. Sustainability, 13(15), 8470. https://doi.org/10.3390/su13158470

De Camargo Fiorini, P., & Jabbour, C. J. C. (2017). Information systems and sustainable supply chain management towards a more sustainable society: Where we are and where we are going. International Journal of Information Management, 37(4), 241–249. https://doi.org/10.1016/j.ijinfomgt.2016.12.004

Debnath, A., & Sarkar, B. (2023). Effect of circular economy for waste nullification under a sustainable supply chain management. Journal of Cleaner Production, 385, 1–14. https://doi.org/10.1016/j.jclepro.2022.135477

Dev, N. K., Shankar, R., & Qaiser, F. H. (2020). Industry 4.0 and circular economy: Operational excellence for sustainable reverse supply chain performance. Resources, Conservation and Recycling, 153, 104583. https://doi.org/10.1016/j.resconrec.2019.104583

Dolgui, A., & Ivanov, D. (2021). 5G in digital supply chain and operations management: fostering flexibility, end-to-end connectivity and real-time visibility through internet-of-everything. International Journal of Production Research, 60(2), 442–451. https://doi.org/https://doi.org/10.1080/00207543.2021.2002969

Dolgui, A., Ivanov, D., & Sokolov, B. (2020). Reconfigurable supply chain: the X-network. International Journal of Production Research, 58(13), 4138–4163. https://doi.org/10.1080/00207543.2020.1774679

Dubey, R., Gunasekaran, A., Childe, S. J., Bryde, D. J., Giannakis, M., Foropon, C., Roubaud, D., & Hazen, B. T. (2020). Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations. International Journal of Production Economics, 226, 107599. https://doi.org/10.1016/j.ijpe.2019.107599

Dubey, S., Singh, R., Singh, S. P., & Mishra, A. (2020). A brief study of value chain and supply chain. In Agriculture Development and Economic Transformation in Global ScenarioScenario. https://www.researchgate.net/publication/344374264_A_BRIEF_STUDY_OF_VALUE_CHAIN_AND_SUPPLY_CHAIN

Durmaz, A., Demir, H., & Sezen, B. (2021). The role of negative entropy within supply chain sustainability. Sustainable Production and Consumption, 28, 218–230. https://doi.org/10.1016/j.spc.2021.04.014

Eggert, J., & Hartmann, J. (2023). Sustainable supply chain management – a key to resilience in the global pandemic. Supply Chain Management: An International Journal, 28(3), 486–507. https://doi.org/10.1108/SCM-10-2021-0463

Fahimnia, B., Sarkis, J., & Talluri, S. (2019). Editorial Design and Management of Sustainable and Resilient Supply Chains. IEEE Transactions on Engineering Management, 66(1), 2–7. https://doi.org/10.1109/TEM.2018.2870924

Flynn, B. B., Sakakibara, S., Schroeder, R. G., Bates, K. A., & Flynn, E. J. (1990). Empirical research methods in operations management. Journal of Operations Management, 9(2), 250–284. https://doi.org/10.1016/0272-6963(90)90098-X

Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104

Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, 210, 15–26. https://doi.org/10.1016/j.ijpe.2019.01.004

Giannakis, M., & Papadopoulos, T. (2016). Supply chain sustainability: A risk management approach. International Journal of Production Economics, 171, 455–470. https://doi.org/10.1016/j.ijpe.2015.06.032

Gilani, H., & Sahebi, H. (2021). A multi-objective robust optimization model to design sustainable sugarcane-to-biofuel supply network: the case of study. Biomass Conversion and Biorefinery, 11(6), 2521–2542. https://doi.org/10.1007/s13399-020-00639-8

Govindan, K., Rajeev, A., Padhi, S. S., & Pati, R. K. (2020). Supply chain sustainability and performance of firms: A meta-analysis of the literature. Transportation Research Part E: Logistics and Transportation Review, 137, 101923. https://doi.org/10.1016/j.tre.2020.101923

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis: a Global Perspective (7 (ed.)). Pearson Education.

Hallikas, J., Immonen, M., & Brax, S. (2021). Digitalizing procurement: the impact of data analytics on supply chain performance. Supply Chain Management, 26(5), 629–646. https://doi.org/10.1108/SCM-05-2020-0201

He, Z., Huang, H., Choi, H., & Bilgihan, A. (2023). Building organizational resilience with digital transformation. Journal of Service Management, 34(1), 147–171. https://doi.org/10.1108/JOSM-06-2021-0216

Hossain, M. K., Thakur, V., & Mangla, S. K. (2022). Modeling the emergency health-care supply chains: responding to the COVID-19 pandemic. Journal of Business and Industrial Marketing, 37(8), 1623–1639. https://doi.org/10.1108/JBIM-07-2020-0315

Hosseini-Motlagh, S. M., Samani, M. R. G., & Saadi, F. A. (2020). A novel hybrid approach for synchronized development of sustainability and resiliency in the wheat network. Computers and Electronics in Agriculture, 168, 1–18. https://doi.org/10.1016/j.compag.2019.105095

Hoyle, R. H. (2014). Handbook of Structural Equation Modelling. Guilford press.

Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

Huo, B., Zhao, X., & Zhou, H. (2014). The effects of competitive environment on supply chain information sharing and performance: An empirical study in China. Production and Operations Management, 23(4), 552–569. https://doi.org/10.1111/poms.12044

Irfan, I., Sumbal, M. S. U. K., Khurshid, F., & Chan, F. T. S. (2022). Toward a resilient supply chain model: critical role of knowledge management and dynamic capabilities. Industrial Management & Data Systems, 122(5), 1153–1182. https://doi.org/10.1108/IMDS-06-2021-0356

Ivanov, D. (2017). Simulation-based ripple effect modelling in the supply chain. International Journal of Production Research, 55(7), 2083–2101. https://doi.org/10.1080/00207543.2016.1275873

Ivanov, D. (2021). Introduction to supply chain resilience: Management, modelling, technology. books.google.com. https://books.google.com/books?hl=en&lr=&id=g0IsEAAAQBAJ&oi=fnd&pg=PR5&dq=supply+chain+supply+chain&ots=O9-PqJwAP_&sig=O4iPJac3Br1NdnZ3L25gzDSlY-s

Ivanov, D. (2022). Lean resilience: AURA (Active Usage of Resilience Assets) framework for post-COVID-19 supply chain management. International Journal of Logistics Management, 33(4), 1196–1217. https://doi.org/10.1108/IJLM-11-2020-0448

Ivanov, D., & Dolgui, A. (2020). Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak. International Journal of Production Research, 58(10), 2904–2915. https://doi.org/10.1080/00207543.2020.1750727

Ivanov, D., Dolgui, A., & Sokolov, B. (2019). The Impact of Digital technology and Industry 4.0 on the Ripple Effect and supply Chain Risk Analytics. International Journal of Production Research, 57(3), 829–846. https://doi.org/10.1080/00207543.2018.1488086

Ivanov, D., Dolgui, A., & Sokolov, B. (2022). Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service.” Transportation Research Part E: Logistics and Transportation Review, 160, 102676. https://doi.org/10.1016/j.tre.2022.102676

Jabbarzadeh, A., Fahimnia, B., & Sabouhi, F. (2018). Resilient and sustainable supply chain design: sustainability analysis under disruption risks. International Journal of Production Research, 56(17), 5945–5968. https://doi.org/10.1080/00207543.2018.1461950

Kache, F., & Seuring, S. (2017). Challenges and opportunities of digital information at the intersection of Big Data Analytics and supply chain management. International Journal of Operations and Production Management, 37(1), 10–36. https://doi.org/10.1108/IJOPM-02-2015-0078

Kazancoglu, I., Ozbiltekin-Pala, M., Kumar Mangla, S., Kazancoglu, Y., & Jabeen, F. (2022). Role of flexibility, agility and responsiveness for sustainable supply chain resilience during COVID-19. Journal of Cleaner Production, 362, 1–13. https://doi.org/10.1016/j.jclepro.2022.132431

Ketchen, D. J., & Craighead, C. W. (2020). Research at the Intersection of Entrepreneurship, Supply Chain Management, and Strategic Management: Opportunities Highlighted by COVID-19. Journal of Management, 46(8), 1330–1341. https://doi.org/10.1177/0149206320945028

Khan, S. A. R., Godil, D. I., Jabbour, C. J. C., Shujaat, S., Razzaq, A., & Yu, Z. (2021). Green data analytics, blockchain technology for sustainable development, and sustainable supply chain practices: evidence from small and medium enterprises. Annals of Operations Research, Sdg 8. https://doi.org/10.1007/s10479-021-04275-x

Kumar, P., & Kumar Singh, R. (2021). Strategic framework for developing resilience in Agri-Food Supply Chains during COVID 19 pandemic. International Journal of Logistics Research and Applications, 0(0), 1–24. https://doi.org/10.1080/13675567.2021.1908524

Latan, H. (2013). Model Persamaan Struktural: Teori dan Implementasi Amos 21. Alfabeta.

Lemeshow, S., & David, J. (1997). Besar Sampel dalam Penelitian Kesehatan (terjemahan). Gadjah Mada University Press.

Li, G., Xue, J., Li, N., & Ivanov, D. (2022). Blockchain-supported business model design, supply chain resilience, and firm performance. Transportation Research Part E: Logistics and Transportation Review, 163, 1–18. https://doi.org/10.1016/j.tre.2022.102773

Liu, L., Song, W., & Han, W. (2020). How sustainable is smart PSS? An integrated evaluation approach based on rough BWM and TODIM. Advanced Engineering Informatics, 43, 1–14. https://doi.org/10.1016/j.aei.2020.101042

Lopez-Castro, L. F., & Solano-Charris, E. L. (2021). Integrating Resilience and Sustainability Criteria in the Supply Chain Network Design. A Systematic Literature Review. Sustainability, 26. https://doi.org/10.3390/su131910925

Mandal, S. (2014). Supply chain resilience: a state-of-the-art review and research directions. International Journal of Disaster Resilience in the Built Environment, 5(4), 427–453. https://doi.org/10.1108/IJDRBE-03-2013-0003

Marchese, D., Reynolds, E., Bates, M. E., Morgan, H., Clark, S. S., & Linkov, I. (2018). Resilience and sustainability: Similarities and differences in environmental management applications. Science of The Total Environment, 613–614, 1275–1283. https://doi.org/10.1016/j.scitotenv.2017.09.086

McClements, D. J., Barrangou, R., Hill, C., Kokini, J. L., Lila, M. A., Meyer, A. S., & Yu, L. (2021). Building a Resilient, Sustainable, and Healthier Food Supply Through Innovation and Technology. Annual Review of Food Science and Technology, 12(1), 1–28. https://doi.org/10.1146/annurev-food-092220-030824

Mohammed, A., Zubairu, N., Yazdani, M., Diabat, A., & Li, X. (2023). Resilient supply chain network design without lagging sustainability responsibilities. Applied Soft Computing, 140, 110225. https://doi.org/10.1016/j.asoc.2023.110225

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

Negri, M., Cagno, E., Colicchia, C., & Sarkis, J. (2021). Integrating sustainability and resilience in the supply chain: A systematic literature review and a research agenda. Business Strategy and the Environment, 30(7). https://doi.org/10.1002/bse.2776

Nevitt, J., & Hancock, G. R. (2000). Improving the Root Mean Square Error of Approximation for Nonnormal Conditions in Structural Equation Modeling. The Journal of Experimental Education, 68(3), 251–268. https://doi.org/10.1080/00220970009600095

Nikookar, E., & Yanadori, Y. (2022). Forming post-COVID supply chains: does supply chain managers’ social network affect resilience? International Journal of Physical Distribution and Logistics Management, 52(7), 538–566. https://doi.org/10.1108/IJPDLM-05-2021-0167

Pavlov, A., Ivanov, D., Pavlov, D., & Slinko, A. (2019). Optimization of network redundancy and contingency planning in sustainable and resilient supply chain resource management under conditions of structural dynamics. Annals of Operations Research. https://doi.org/10.1007/s10479-019-03182-6

Prasetyo, D. E., Wulandari, G. A. A., Meini, Z., & Fauziah. (2024). Identifikasi Fraud Dalam Pemeriksaan Internal Melalui Data Analytics. Jurnal EQUITY, 26(1). https://doi.org/10.34209/equ.v26i1.7418

Pratondo, K., Kusmantini, T., & Sabihaini, S. (2021). Gaining Supply Chain Resilience and Performance Sustainability through Supply Chain Agility in Furniture SMEs in Yogyakarta. International Journal of Social Science and Business, 5(3), 392. https://doi.org/10.23887/ijssb.v5i3.37945

Rogerson, M., & Parry, G. C. (2020). Blockchain: case studies in food supply chain visibility. Supply Chain Management, 25(5), 601–614. https://doi.org/10.1108/SCM-08-2019-0300

Ruiz-Benitez, R., Lopez, C., & Real, J. C. (2018). The lean and resilient management of the supply chain and its impact on performance. International Journal of Production Economics, 203, 190–202. https://doi.org/10.1016/j.ijpe.2018.06.009

Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019). Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research, 57(7), 2117–2135. https://doi.org/10.1080/00207543.2018.1533261

Sabouhi, F., Jabalameli, M. S., & Jabbarzadeh, A. (2021). An optimization approach for sustainable and resilient supply chain design with regional considerations. Computers & Industrial Engineering, 159, 107510. https://doi.org/10.1016/j.cie.2021.107510

Sawik, T. (2022). Stochastic optimization of supply chain resilience under ripple effect: A COVID-19 pandemic related study. Omega (United Kingdom), 109, 102596. https://doi.org/10.1016/j.omega.2022.102596

Schluter, F. F., Hetterscheid, E., & Henke, M. (2017). A Simulation-Based Evaluation Approachfor Digitalization Scenarios in Smart SupplyChain Risk Management. Journal of Industrial Engineering and Management Science, 2017(1), 179–206. https://doi.org/10.13052/jiems2446-1822.2017.009

Scholten, K., & Schilder, S. (2015). The role of collaboration in supply chain resilience. Supply Chain Management: An International Journal, 20(4), 471–484. https://doi.org/10.1108/SCM-11-2014-0386

Seuring, S., & Muller, M. (2008). From a literature review to a conceptual framework for sustainable supply chain management. Journal of Cleaner Production, 16(15), 1699–1710. https://doi.org/10.1016/j.jclepro.2008.04.020

Sharma, V., & Mangaraj, B, K. (2022). Sustainable Supply Chain Resilience - A Decision Framework to Manage Disruptions and Retain Sustainability. In Making Complex Decisions toward Revamping Supply Chains amid COVID-19 Outbreak (1st Editio, p. 26). CRC Press. Doi: 10.1201/9781003150084-3

Sharma, V., Raut, R. D., Hajiaghaei-Keshteli, M., Narkhede, B. E., Gokhale, R., & Priyadarshinee, P. (2022). Mediating effect of industry 4.0 technologies on the supply chain management practices and supply chain performance. Journal of Environmental Management, 322, 115945. https://doi.org/10.1016/j.jenvman.2022.115945

Singh, C. S., Soni, G., & Badhotiya, G. K. (2019). Performance indicators for supply chain resilience: review and conceptual framework. Journal of Industrial Engineering International, 15, 105–117. https://doi.org/10.1007/s40092-019-00322-2

Singh, V., Kumar, A., & Singh, T. (2018). Impact of TQM on organisational performance: The case of Indian manufacturing and service industry. Operations Research Perspectives, 5, 199–217. https://doi.org/10.1016/j.orp.2018.07.004

Singh, V., & Sharma, S. K. (2016). Analyzing the moderating effects of respondent type and experience on the fuel efficiency improvement in air transport using structural equation modeling. European Transport Research Review, 8(2). https://doi.org/10.1007/s12544-016-0199-3

Song, H., Li, M., & Yu, K. (2021). Big data analytics in digital platforms: how do financial service providers customise supply chain finance? International Journal of Operations and Production Management, 41(4), 410–435. https://doi.org/10.1108/IJOPM-07-2020-0485

Stroumpoulis, A., Kopanaki, E., & Chountalas, P. T. (2024). Enhancing Sustainable Supply Chain Management through Digital Transformation: A Comparative Case Study Analysis. Sustainability, 16(16), 6778. https://doi.org/https://doi.org/10.3390/su16166778

Sugiyono. (2022). Metode Penelitian Kuantitatif (2nd ed.). Alfabeta.

Tasnim, Z. (2020). Disruption in Global Food Supply Chain (FSCS) due to Covid-19 Pandemic and Impact of Digitization through Block Chain Technology in FSCS Management.

Tirkolaee, E. B., Goli, A., Ghasemi, P., & Goodarzian, F. (2022). Designing a sustainable closed-loop supply chain network of face masks during the COVID-19 pandemic: Pareto-based algorithms. Journal of Cleaner Production, 333, 1–21. https://doi.org/10.1016/j.jclepro.2021.130056

Ul Akram, M., Islam, N., Chauhan, C., & Zafar Yaqub, M. (2024). Resilience and agility in sustainable supply chains: A relational and dynamic capabilities view. Journal of Business Research, 183, 114855. https://doi.org/10.1016/j.jbusres.2024.114855

Vali-Siar, M. M., & Roghanian, E. (2022). Sustainable, resilient and responsive mixed supply chain network design under hybrid uncertainty with considering COVID-19 pandemic disruption. Sustainable Production and Consumption, 30, 278–300. https://doi.org/10.1016/j.spc.2021.12.003

Vanany, I., Ali, M. H., Tan, K. H., Kumar, A., & Siswanto, N. (2021). A Supply Chain Resilience Capability Framework and Process for Mitigating the COVID-19 Pandemic Disruption. IEEE Transactions on Engineering Management, 1–15. https://doi.org/10.1109/TEM.2021.3116068

Vugrin, E. D., Warren, D. E., & Ehlen, M. A. (2011). A resilience assessment framework for infrastructure and economic systems: Quantitative and qualitative resilience analysis of petrochemical supply chains to a hurricane. Process Safety Progress, 30(3), 280–290. https://doi.org/10.1002/prs.10437

Wagimin, Kusrini, E., Ali, J., & Helia, V. N. (2019). The effect of leadership on employee performance with Total Quality Management (TQM) as a mediating variable in Indonesian petroleum companies: A case study. International Journal of Integrated Engineering, 11(5), 180–188. https://doi.org/10.30880/ijie.2019.11.05.023

Wang, M., Wang, B., & Abareshi, A. (2020). Blockchain technology and its role in enhancing supply chain integration capability and reducing carbon emission: A conceptual framework. Sustainability (Switzerland), 12(24), 1–17. https://doi.org/10.3390/su122410550

Wang, Y., Chen, Y., & Benitez-Amado, J. (2015). How information technology influences environmental performance: Empirical evidence from China. International Journal of Information Management, 35(2), 160–170. https://doi.org/10.1016/j.ijinfomgt.2014.11.005

West, S. G., Finch, J. F., & Curran, P. J. (1995). Structural equation models with nonnormal variables: Problems and remedies. In Structural equation modeling: Concepts, issues, and applications. (pp. 56–75). Sage Publications, Inc.

Widarjono, A. (2010). Analisis Statistika Multivariat Terapan. Sekolah Tinggi Ilmu Manajemen YKPN.

Xu, X., Chung, S.-H., Lo, C. K. Y., & Yeung, A. C. L. (2022). Sustainable supply chain management with NGOs, NPOs, and charity organizations: A systematic review and research agenda. Transportation Research Part E: Logistics and Transportation Review, 164, 102822. https://doi.org/10.1016/j.tre.2022.102822

Yang, M., Fu, M., & Zhang, Z. (2021). The adoption of digital technologies in supply chains: Drivers, process and impact. Technological Forecasting and Social Change, 169, 1–13. https://doi.org/10.1016/j.techfore.2021.120795

Ye, F., Liu, K., Li, L., Lai, K. H., Zhan, Y., & Kumar, A. (2022). Digital supply chain management in the COVID-19 crisis: An asset orchestration perspective. International Journal of Production Economics, 245(December 2021), 108396. https://doi.org/10.1016/j.ijpe.2021.108396

Yin, W., & Ran, W. (2021). Theoretical Exploration of Supply Chain Viability Utilizing Blockchain Technology. Sustainability, 13(15), 8231. https://doi.org/10.3390/su13158231

Yu, Z., Khan, S. A. R., Mathew, M., Umar, M., Hassan, M., & Sajid, M. J. (2022). Identifying and analyzing the barriers of Internet-of-Things in sustainable supply chain through newly proposed spherical fuzzy geometric mean. Computers & Industrial Engineering, 169, 108227. https://doi.org/10.1016/j.cie.2022.108227

Zahiri, B., Zhuang, J., & Mohammadi, M. (2017). Toward an integrated sustainable-resilient supply chain: A pharmaceutical case study. Transportation Research Part E: Logistics and Transportation Review, 103, 109–142. https://doi.org/10.1016/j.tre.2017.04.009

Zainal, M. I., Kurnia, W. I., Arifin, K., & Siman, S. (2021). Analysis on the Total Quality Management (Tqm) Practices Towards Business Performance; a Case Study. Jurnal Aplikasi Bisnis Dan Manajemen, 7(2), 306–315. https://doi.org/10.17358/jabm.7.2.306

Zhao, N., Hong, J., & Lau, K. H. (2023). Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model. International Journal of Production Economics, 259, 1–19. https://doi.org/10.1016/j.ijpe.2023.108817

Published

2025-05-14

How to Cite

Kurnia, W. I., Harits, D., & Cahyo, W. N. (2025). The Analysis of the Digitalization Role on Towards Supply Chain Resilience and Sustainable (Case Study: MSME in Balikpapan City). Spektrum Industri, 23(1), 86–105. https://doi.org/10.12928/si.v23i1.277

Issue

Section

Logistics and Supply Chain Management