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Effect of ICT integration on SC flexibility, agility and company’ performance: the Mexican maquiladora experience

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Abstract

This article reports a structural equation model (SEM) with four latent variables to measure the relationship between information and communication technologies (ICT) integration with supply chain flexibility, supply chain agility, and company’s performance. The SEM integrates six hypotheses with relationships among variables and is validated with 378 responses from manufacturing sector to a questionnaire and partial least squares technique is used to evaluate it and test the hypotheses statistically. A sensitivity analysis is conducted in different scenarios to know conditional probabilities of occurrence of dependent variables, since a scenario has occurred in the independent variable with low and high success level. Findings indicate that ICT integration in supply chain facilitate to monitoring the production process, partners integration and have a direct effect on agility and flexibility for manufacturers, providing an active material’ or subassemblies’ flow among partners with greater visibility and making agile and joint decision-making.

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References

  1. Mensah, P., Merkuryev, Y., Klavins, E., & Manak, S. (2017). Supply chain risks analysis of a logging company: Conceptual model. Procedia Computer Science, 104, 313–320. https://doi.org/10.1016/j.procs.2017.01.140.

    Article  Google Scholar 

  2. Mota-López, D. R., Sánchez-Ramírez, C., Alor-Hernández, G., García-Alcaraz, J. L., & Rodríguez-Pérez, S. I. (2019). Evaluation of the impact of water supply disruptions in bioethanol production. Computers & Industrial Engineering, 127, 1068–1088. https://doi.org/10.1016/j.cie.2018.11.041.

    Article  Google Scholar 

  3. Samdantsoodol, A., Cang, S., Yu, H., Eardley, A., & Buyantsogt, A. (2017). Predicting the relationships between virtual enterprises and agility in supply chains. Expert Systems with Applications, 84(3), 58–73. https://doi.org/10.1016/j.eswa.2017.04.037.

    Article  Google Scholar 

  4. Bargshady, G., Zahraee, S. M., Ahmadi, M., & Parto, A. (2016). The effect of information technology on the agility of the supply chain in the Iranian power plant industry. Journal of Manufacturing Technology Management, 27(3), 427–442. https://doi.org/10.1108/JMTM-11-2015-0093.

    Article  Google Scholar 

  5. Garcia-Alcaraz, J. L., Maldonado-Macias, A. A., Alor-Hernandez, G., & Sanchez-Ramirez, C. (2017). The impact of information and communication technologies (ICT) on agility, operating, and economical performance of supply chain. Advances in Production Engineering & Management, 12(1), 29–40. https://doi.org/10.14743/apem2017.1.237.

    Article  Google Scholar 

  6. Monsreal-Barrera, M. M., Cruz-Mejia, O., Ozkul, S., & Saucedo-Martínez, J. A. (2019). An optimization model for investment in technology and government regulation. Wireless Networks, 8, 8–9. https://doi.org/10.1007/s11276-019-01958-z.

    Article  Google Scholar 

  7. Monostori, J. (2018). Supply chains robustness: Challenges and opportunities. Procedia CIRP, 67, 110–115. https://doi.org/10.1016/j.procir.2017.12.185.

    Article  Google Scholar 

  8. Mensah, P., Merkuryev, Y., & Longo, F. (2015). Using ICT in developing a resilient supply chain strategy. Procedia Computer Science, 43, 101–108. https://doi.org/10.1016/j.procs.2014.12.014.

    Article  Google Scholar 

  9. Zhang, Q., & Cao, M. (2018). Exploring antecedents of supply chain collaboration: Effects of culture and interorganizational system appropriation. International Journal of Production Economics, 195, 146–157. https://doi.org/10.1016/j.ijpe.2017.10.014.

    Article  Google Scholar 

  10. Swafford, P. M., Ghosh, S., & Murthy, N. (2008). Achieving supply chain agility through IT integration and flexibility. International Journal of Production Economics, 116(2), 288–297. https://doi.org/10.1016/j.ijpe.2008.09.002.

    Article  Google Scholar 

  11. Mahalik, N., & Kim, K. (2016). The role of information technology developments in food supply chain integration and monitoring. In C. E. Leadley (Ed.), In Innovation and future trends in food manufacturing and supply chain technologies (pp. 21–37). Cambridge: Woodhead Publishing.

    Chapter  Google Scholar 

  12. Marinagi, C., Trivellas, P., & Sakas, D. P. (2014). The impact of information technology on the development of supply chain competitive advantage. Procedia-Social and Behavioral Sciences, 147(Supplement C), 586–591. https://doi.org/10.1016/j.sbspro.2014.07.161.

    Article  Google Scholar 

  13. Caridi, M., Moretto, A., Perego, A., & Tumino, A. (2014). The benefits of supply chain visibility: A value assessment model. International Journal of Production Economics, 151(Supplement C), 1–19. https://doi.org/10.1016/j.ijpe.2013.12.025.

    Article  Google Scholar 

  14. Costantino, N., Dotoli, M., Falagario, M., Fanti, M. P., & Mangini, A. M. (2012). A model for supply management of agile manufacturing supply chains. International Journal of Production Economics, 135(1), 451–457. https://doi.org/10.1016/j.ijpe.2011.08.021.

    Article  Google Scholar 

  15. Jaaskelainen, A., & Hirn, J. (2016). Data-driven business integration in procurement: A case study in an ICT Company. In G. S. Erickson, & H. N. Rothberg (Eds.), Proceedings of the 13th international conference on intellectual capital knowledge management & organisational learning (pp. 128–135). Nr Reading: Acad Conferences Ltd.

  16. Bohtan, A., Vrat, P., & Vij, A. K. (2017). Supply chain of the Indian public distribution system: A new paradigm. Journal of Advances in Management Research, 14(1), 110–123. https://doi.org/10.1108/jamr-09-2015-0065.

    Article  Google Scholar 

  17. Ramadan, M., Al-Maimani, H., & Noche, B. (2017). RFID-enabled smart real-time manufacturing cost tracking system. The International Journal of Advanced Manufacturing Technology, 89(1), 969–985. https://doi.org/10.1007/s00170-016-9131-1.

    Article  Google Scholar 

  18. Ibrahim, A., & Dalkılıc, G. (2019). Review of different classes of RFID authentication protocols. Wireless Networks, 25(3), 961–974. https://doi.org/10.1007/s11276-017-1638-3.

    Article  Google Scholar 

  19. Liu, Z., Li, K. W., Li, B.-Y., Huang, J., & Tang, J. (2019). Impact of product-design strategies on the operations of a closed-loop supply chain. Transportation Research Part E: Logistics and Transportation Review, 124, 75–91. https://doi.org/10.1016/j.tre.2019.02.007.

    Article  Google Scholar 

  20. Wang, H., Gong, Q., & Wang, S. (2017). Information processing structures and decision making delays in MRP and JIT. International Journal of Production Economics, 188, 41–49. https://doi.org/10.1016/j.ijpe.2017.03.016.

    Article  Google Scholar 

  21. Fayezi, S., Zutshi, A., & O’Loughlin, A. (2015). How Australian manufacturing firms perceive and understand the concepts of agility and flexibility in the supply chain. International Journal of Operations & Production Management, 35(2), 246–281. https://doi.org/10.1108/IJOPM-12-2012-0546.

    Article  Google Scholar 

  22. Asad, M. M., Mohammadi, V., & Shirani, M. (2016). Modeling flexibility capabilities of IT-based supply chain, using a grey-based DEMATEL method. Procedia Economics and Finance, 36, 220–231. https://doi.org/10.1016/S2212-5671(16)30033-8.

    Article  Google Scholar 

  23. Ravichandran, T. (2017). Exploring the relationships between IT competence, innovation capacity and organizational agility. The Journal of Strategic Information Systems. https://doi.org/10.1016/j.jsis.2017.07.002.

    Article  Google Scholar 

  24. García-Alcaraz, J. L., Maldonado-Macías, A. A., Hernandez, G. A., Jiménez-Macías, E., Muro, J. C. S. D., & Blanco-Fernández, J. (2017). Impact of human factor on flexibility and supply chain agility of La Rioja wineries. European Journal of Industrial Engineering, 11(5), 663–682. https://doi.org/10.1504/ejie.2017.087703.

    Article  Google Scholar 

  25. Ngai, E. W. T., Chau, D. C. K., & Chan, T. L. A. (2011). Information technology, operational, and management competencies for supply chain agility: Findings from case studies. The Journal of Strategic Information Systems, 20(3), 232–249. https://doi.org/10.1016/j.jsis.2010.11.002.

    Article  Google Scholar 

  26. Liu, H., Ke, W., Wei, K. K., & Hua, Z. (2013). The impact of IT capabilities on firm performance: The mediating roles of absorptive capacity and supply chain agility. Decision Support Systems, 54(3), 1452–1462. https://doi.org/10.1016/j.dss.2012.12.016.

    Article  Google Scholar 

  27. Chan, A. T. L., Ngai, E. W. T., & Moon, K. K. L. (2017). The effects of strategic and manufacturing flexibilities and supply chain agility on firm performance in the fashion industry. European Journal of Operational Research, 259(2), 486–499. https://doi.org/10.1016/j.ejor.2016.11.006.

    Article  MathSciNet  MATH  Google Scholar 

  28. Iqbal, T., Huq, F., & Bhutta, M. K. S. (2018). Agile manufacturing relationship building with TQM, JIT, and firm performance: An exploratory study in apparel export industry of Pakistan. International Journal of Production Economics, 203, 24–37. https://doi.org/10.1016/j.ijpe.2018.05.033.

    Article  Google Scholar 

  29. Wu, K.-J., Tseng, M.-L., Chiu, A. S. F., & Lim, M. K. (2017). Achieving competitive advantage through supply chain agility under uncertainty: A novel multi-criteria decision-making structure. International Journal of Production Economics, 190, 96–107. https://doi.org/10.1016/j.ijpe.2016.08.027.

    Article  Google Scholar 

  30. Garcia-Alcaraz, J. L., Maldonado-Macias, A. A., Hernandez-Arellano, J. L., Blanco-Fernandez, J., Jimenez-Macias, E., & Saenz-Diezuro, M. J. C. (2017). The impact of human resources on the agility, flexibility and performance of wine supply chains. Agricultural Economics Czech Republic, 63(4), 175–184. https://doi.org/10.17221/23/2016-AGRICECON.

    Article  Google Scholar 

  31. Mark, S., & Martin, S. (2007). Flexibility from a supply chain perspective: Definition and review. International Journal of Operations & Production Management, 27(7), 685–713. https://doi.org/10.1108/01443570710756956.

    Article  Google Scholar 

  32. Sanchez, A. M., Perez, M. P., & Oliva, S. V. (2018). Agility, production flexibility and innovation in the Spanish manufacturing company. Direccion Y Organizacion, 65, 60–71.

    Article  Google Scholar 

  33. Gligor, D. M., Esmark, C. L., & Holcomb, M. C. (2015). Performance outcomes of supply chain agility: When should you be agile? Journal of Operations Management, 33–34(Supplement C), 71–82. https://doi.org/10.1016/j.jom.2014.10.008.

    Article  Google Scholar 

  34. DeGroote, S. E., & Marx, T. G. (2013). The impact of IT on supply chain agility and firm performance: An empirical investigation. International Journal of Information Management, 33(6), 909–916. https://doi.org/10.1016/j.ijinfomgt.2013.09.001.

    Article  Google Scholar 

  35. Pérez-López, R. J., Olguín-Tiznado, J. E., García-Alcaraz, J. L., Camargo-Wilson, C., & López-Barreras, J. A. (2018). The role of planning and implementation of ICT in operational benefits. Sustainability, 10(7), 2261. https://doi.org/10.3390/su10072261.

    Article  Google Scholar 

  36. Zhang, X., & Yang, X. (2016). How inter-organizational ICT impact on supply chain performance with considering supply chain integration and uncertainty. In International conference on logistics, informatics and service sciences. Sydney, NSW. https://doi.org/10.1109/LISS.2016.7854370.

  37. Claro, D. P., Vojnovskis, D., & Ramos, C. (2018). When channel conflict positively affect performance: Evidence from ICT supplier-reseller relationship. Journal of Business & Industrial Marketing, 33(2), 228–239. https://doi.org/10.1108/jbim-11-2016-0272.

    Article  Google Scholar 

  38. Sreedevi, R., & Saranga, H. (2017). Uncertainty and supply chain risk: The moderating role of supply chain flexibility in risk mitigation. International Journal of Production Economics, 193, 332–342. https://doi.org/10.1016/j.ijpe.2017.07.024.

    Article  Google Scholar 

  39. Filho, M. G., & Utiyama, M. H. R. (2016). Comparing the effect of different strategies of continuous improvement programmes on repair time to reduce lead time. The International Journal of Advanced Manufacturing Technology, 87(1), 315–327. https://doi.org/10.1007/s00170-016-8483-x.

    Article  Google Scholar 

  40. Altendorfer, K. (2017). Relation between lead time dependent demand and capacity flexibility in a two-stage supply chain with lost sales. International Journal of Production Economics, 194, 13–24. https://doi.org/10.1016/j.ijpe.2017.05.007.

    Article  Google Scholar 

  41. Kisperska-Moron, D., & de Haan, J. (2011). Improving supply chain performance to satisfy final customers: “Leagile” experiences of a polish distributor. International Journal of Production Economics, 133(1), 127–134. https://doi.org/10.1016/j.ijpe.2009.12.013.

    Article  Google Scholar 

  42. Avelar-Sosa, L., García-Alcaraz, J., Mejía-Muñoz, J., Maldonado-Macías, A., & Hernández, G. (2018). Government support and market proximity: Exploring their relationship with supply chain agility and financial performance. Sustainability, 10(7), 2441. https://doi.org/10.3390/su10072441.

    Article  Google Scholar 

  43. Tse, Y. K., Zhang, M., Akhtar, P., & MacBryde, J. (2016). Embracing supply chain agility: An investigation in the electronics industry. Supply Chain Management: An International Journal, 21(1), 140–156. https://doi.org/10.1108/SCM-06-2015-0237.

    Article  Google Scholar 

  44. Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22(140), 1–55.

    Google Scholar 

  45. Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks: SAGE Publications.

    MATH  Google Scholar 

  46. Kock, N. (2015). WarpPLS 5.0 user manual. ScriptWarp Systems. Laredo, TX.

  47. Evermann, J., & Tate, M. (2016). Assessing the predictive performance of structural equation model estimators. Journal of Business Research, 69(10), 4565–4582. https://doi.org/10.1016/j.jbusres.2016.03.050.

    Article  Google Scholar 

  48. Ekrot, B., Kock, A., & Gemünden, H. G. (2016). Retaining project management competence—Antecedents and consequences. International Journal of Project Management, 34(2), 145–157. https://doi.org/10.1016/j.ijproman.2015.10.010.

    Article  Google Scholar 

  49. Sarstedt, M., Ringle, C. M., Smith, D., Reams, R., & Hair, J. F. (2014). Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers. Journal of Family Business Strategy, 5(1), 105–115. https://doi.org/10.1016/j.jfbs.2014.01.002.

    Article  Google Scholar 

  50. Jorgenson, D. W., & Vu, K. M. (2016). The impact of ICT investment on world economic growth. Telecommunications Policy, 40(5), 381–382. https://doi.org/10.1016/j.telpol.2016.02.006.

    Article  Google Scholar 

  51. Moon, K. K.-L., Yi, C. Y., & Ngai, E. W. T. (2012). An instrument for measuring supply chain flexibility for the textile and clothing companies. European Journal of Operational Research, 222(2), 191–203. https://doi.org/10.1016/j.ejor.2012.04.027.

    Article  Google Scholar 

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Acknowledgement

The authors thanks the managers, engineers and people who work in the industry and who answered our questionnaire. Without their support, this paper would not have been possible.

Funding

This work was supported by the Mexican National Council for Science and Technology (CONACyT) for its support under project CONACYT-INS (REDES) 2018 - 293683 LAS.

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Correspondence to Jorge Luis García-Alcaraz.

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García-Alcaraz, J.L., Martínez-Loya, V., Díaz-Reza, J.R. et al. Effect of ICT integration on SC flexibility, agility and company’ performance: the Mexican maquiladora experience. Wireless Netw 26, 4805–4818 (2020). https://doi.org/10.1007/s11276-019-02068-6

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