Industry 4.0 adoption for supply chain performance in Tunisian companies
the mediating and moderating effect of resilience and visibility
DOI:
https://doi.org/10.14488/BJOPM.3035.2026Keywords:
Operational and financial performances, Industry 4.0, Supply chain visibility, Supply chain resilience, Mediating and moderating rolesAbstract
Goal: This study aims to investigate the direct and indirect effects of Industry 4.0 (I4.0) on supply chain performance (SCP) in Tunisian firms, by testing the mediating role of supply chain resilience (SCRes) and the moderating role of supply chain visibility (SCV).
Design/Methodology/Approach: The analysis collected data from 81 Tunisian companies across diverse sectors, including manufacturing, agri-food, pharmaceutical, and other activities using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the theoretical hypotheses. Smart PLS 4.0 is the statistical software used in this survey.
Results: Supply chain resilience significantly mediates this relationship, indicating that I4.0’s full performance benefits are contingent upon strengthening resilience capabilities. Additionally, supply chain visibility positively moderates the link between I4.0 and resilience, demonstrating that higher visibility amplifies the positive effect of I4.0 on SCRes. These findings emphasize that I4.0 generates maximum impact only when combined with resilience and visibility efforts.
Limitations of the investigation: This study has five main limitations (cross-sectional design, moderate sample size, self-reported measures, focus on only three I4.0 technologies, and single-country context), which future research should address through longitudinal designs, larger samples, objective data, and cross-country comparisons.
Practical implications: This research offers an actionable plan for Tunisia's industrial evolution, showing how a strategic focus on I4.0 -driven resilience and visibility can directly boost the private sector's competitiveness, strengthen the national economy, and ensure a more prosperous position in the global market.
Originality/Value: This study extends Qader et al. (2022) by providing the first empirical examination of their integrated I4.0, resilience, visibility, and performance framework in an African emerging economy (Tunisia). While the conceptual model and hypotheses are adapted from Qader et al. (2022), we contribute by validating the framework in a context characterized by fragmented logistics, small and medium-sized enterprise (SME) dominance, and high information asymmetry, conditions that may amplify the importance of visibility mechanisms. The findings offer context-specific insights for other emerging economies.
Downloads
References
Abeysekara, N., Wang, H. and Kuruppuarachchi, D. (2019), "Effect of supply chain resilience on firm performance and competitive advantage: A study of the Sri Lankan apparel industry", Business Process Management Journal, Vol. 25, No. 7, pp. 1673-95. https://doi.org/10.1108/BPMJ-09-2018-0241
Akter, A., Wali, S.B., Kamal, Md.R., Mukul, Az.A., Parvin, M.M. (2017), "Factors affecting job satisfaction of working mothers of readymade garments sector in Bangladesh", Issues in Business Management and Economics, Vol. 5, pp. 25-36. https://doi.org/10.15739/IBME.17.004
Al-Talib, M., Melhem, W.Y., Anosike, A.I., Reyes, J.A.G. and Nadeem, S.P. (2020), "Achieving Resilience in the Supply Chain by Applying IoT Technology", Procedia CIRP, Vol. 91, pp. 752-57. https://doi.org/10.1016/j.procir.2020.02.231
Armstrong, J.S. and Overton, T.S. (1977), "Estimating nonresponse bias in mail surveys", Journal of Marketing Research, Vol. 14, No. 3, pp. 396-402. https://doi.org/10.1177/002224377701400320
Barney, J. (1991), "Firm Resources and Sustained Competitive Advantage", Journal of Management, Vol. 17, No. 1, pp. 99-120. https://doi.org/10.1177/014920639101700108
Chatterjee, S. and Wernerfelt, B. (1991), "The link between resources and type of diversification: Theory and evidence", Strategic Management Journal, Vol. 12, pp. 33-48. https://doi.org/10.1002/smj.4250120104
Chin, W.W. (1998), The partial least squares approach for structural equation modeling, In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336), Lawrence Erlbaum Associates Publishers.
Chopra, S., Meindl, P. and Kalra, D.V. (2019), Supply Chain Management: Strategy, Planning, and Operation, 7th edition, Pearson Education.
Cohen, J. (1988), Statistical Power Analysis for the Behavioral Sciences, 2nd ed., Lawrence Erlbaum Associates.
DiMaggio, P.J. and Powell, W.W. (1983), "The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields", American Sociological Review, Vol. 48, No. 2, pp. 147-160. http://www.jstor.org/stable/2095101
Dubey, R., Gunasekaran, A., Bryde, D.J., Dwivedi, Y.K. and Papadopoulos, T. (2020), "Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting", International Journal of Production Research, Vol. 58, pp. 3381-98. https://doi.org/10.1080/00207543.2020.1722860
Faul, F., Erdfelder, E., Buchner, A. and Lang, A.G. (2009), "Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses", Behavior Research Methods, Vol. 41, pp. 1149-60. https://doi.org/10.3758/BRM.41.4.1149
Galbraith, J.R. (1974), "Organization Design: An Information Processing View", Interfaces, Vol. 4, No. 3, pp. 28-36. https://www.jstor.org/stable/25059090
Hair, J.F., Ringle, C.M. and Sarstedt, M. (2019), "Rethinking some of the rethinking of partial least squares", European Journal of Marketing, Vol. 53, No. 4, pp. 788-823. https://doi.org/10.1108/EJM-10-2018-0665
Hair, J.F., Hult, G.T.M., Ringle, C.M. and Sarstedt, M. (2017), A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 2nd ed., Sage.
Hair, J.F., Ringle, C.M. and Sarstedt, M. (2011), "PLS-SEM: Indeed a silver bullet", Journal of Marketing Theory and Practice, Vol. 19, No. 2, pp. 139-152. https://doi.org/10.2753/MTP1069-6679190202
Henseler, J., Ringle, C.M., and Sarstedt, M. (2015), "A new criterion for assessing discriminant validity in variance based structural equation modeling", Journal of the Academy of Marketing Science, Vol. 43, No. 1, pp. 115-135. https://doi.org/10.1007/s11747-014-0403-8
Hill, C.W.L., Hill, M.A. and Hoskisson, R.E. (1992), "Cooperative Versus Competitive Structures in Related and Unrelated Diversified Firms", Organization Science, Vol.3, No. 4, pp. 501-21. http://dx.doi.org/10.1287/orsc.3.4.501
Ivanov, D. (2020), "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, Vol. 136, pp. 1-14. https://doi.org/10.1016/j.tre.2020.101922
Juan, S.J., Li, E.Y. and Huang, W.H. (2022), "An integrated model of supply chain resilience and its impact on supply chain performance under disruption", The International Journal of Logistics Management, Vol. 33, pp. 339-64. https://doi.org/10.1108/IJLM-03-2021-0174
Khan, T. and Emon, M. M. H. (2025), "Supply chain performance in the age of Industry 4.0: evidence from manufacturing sector", Brazilian Journal of Operations and Production Management, Vol. 22, No. 1, e20252434. https://doi.org/10.14488/BJOPM.2434.2025
Moshtari, M. (2016), "Inter-Organizational Fit, Relationship Management Capability, and Collaborative Performance within a Humanitarian Setting", Production and Operations Management, Vol. 25, pp. 1542-57.https://doi.org/10.1111/poms.12568
Mubarak, M.F., Tiwari, S., Petraite, M., Mubarik, M. and Raja Mohd Rasi R.Z. (2021), "How I4.0 technologies and open innovation can improve green innovation performance? Available to Purchase", Management of Environmental Quality: An International Journal, Vol.32, No. 5, pp. 1007–22. https://doi.org/10.1108/MEQ-11-2020-0266
Nagar, D., Raghav, S., Bhardwaj, A., Kumar, R., Singh, P.L. and Sindhwani, R. (2021), "Machine Learning: Best Way to Sustain the Supply Chain in the Era of Industry 4.0", Materials Today: Proceedings, Vol. 47, pp. 3676-82. https://doi.org/10.1016/j.matpr.2021.01.267
Podsakoff, P.M., MacKenzie, S.B., Lee, J.Y. and Podsakoff, N.P. (2003), "Common method biases in behavioral research: A critical review of the literature and recommended remedies", Journal of Applied Psychology, Vol. 88, No. 5, pp. 879-903. https://doi.org/10.1037/0021-9010.88.5.879
Qader, G., Junaid, M., Abbas, Q. and Mubarik, M.S. (2022), "I4.0 enables supply chain resilience and supply chain performance", Technological Forecasting and Social Change, Vol. 185. https://doi.org/10.1016/j.techfore.2022.122026
Sarkis, J. (2021), "Supply chain sustainability: learning from the COVID-19 pandemic", International Journal of Operations & Production Management, Vol. 41, pp. 63-73. https://doi.org/10.1108/IJOPM-08-2020-0568
Silva, V.L., Kolvaleski, J.L., Pagani, R.N. and Gomes, M.A.S. (2024), "Technology transfer model oriented to industry 4.0: proposal and application in the food industry", Brazilian Journal of Operations and Production Management, Vol. 21, No. 2, e20241777. https://doi.org/10.14488/BJOPM.1777.2024
Thompson, J.D. (1967), Organizations in action: Social science bases of administrative theory, McGraw-Hill.
Tao, F., Qi, Q., Liu, A. and Kusiak, A. (2019), "Data-driven smart manufacturing", Journal of Manufacturing Systems, Vol. 48, pp. 157-69. https://doi.org/10.1016/j.jmsy.2018.01.006
Tushman, M.L., and Nadler, D.A. (1978), "Information Processing as an Integrating Concept in Organizational Design", Academy of Management Review, 3, pp. 613-25.
Van Hoek, R., Harrison, A. and Christopher, M. (2001), "Measuring Agile Capabilities in the Supply Chain", International Journal of Operations & Production Management, Vol. 21, pp. 126–48. https://doi.org/10.1108/01443570110358495
Vasconcelos, M.V.P., Félix da Cunha, I.G., Paiva, C.L., Roiz, G.A. and Rebelatto, D.A.d.N. (2025), "Evaluating the efficiency of financial resource transformation into ESG performance: a DEA application in the german industry", Brazilian Journal of Operations and Production Management, Vol. 22, No. 3, e20252467. https://doi.org/10.14488BJOPM.2467.2025
Wernerfelt, B. (1984), "A resource-based view of the firm", Strategic Management Journal, Vol. 5, pp. 171-80. https://doi.org/10.1002/smj.4250050207
Whitmore, A., Agarwal, A. and Da Xu, L. (2015), "The Internet of Things—A survey of topics and trends", Information Systems Frontiers, Vol. 17, pp. 261-74. https://doi.org/10.1007/s10796-014-9489-2
Williams, B.D., Roh, J., Tokar, T. and Swink, M. (2013), "Leveraging Supply Chain Visibility for Responsiveness: The Moderating Role of Internal Integration", Journal of Operations Management, Vol. 31, pp. 543–54.
Xie, Y., Yin, Y., Xue, W., Shi, H. and Chong, D. (2020), "Intelligent supply chain performance measurement in industry 4.0", Systems Research and Behavioral Science, Vol. 37, pp. 711-18. https://doi.org/10.1002/sres.2712
Zhu, Q. and Kouhizadeh, M. (2019), "Blockchain technology, supply chain information, and strategic product deletion management", IEEE Engineering Management Review, Vol. 47, pp. 36-44. https://doi.org/10.1109/EMR.2019.2898178
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Mouna Derbel, Mahmoud Abdi , Ahmed Ghorbel

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors must have a written permission from any third-party materials used in the article, such as figures and graphics. The permission must explicitly allow authors to use the materials. The permission should be submitted with the article, as a supplementary file.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after BJO&PM publishes it (See The Effect of Open Access).




