Measuring Port Digitalisation and Its Outcomes at the Port Community Level
Development and Validation of a Multidimensional Instrument, evidence from the Moroccan port system
DOI :
https://doi.org/10.23882/emss26408Mots-clés :
scale development, port digitalisation, port performance measurement, confirmatory factor analysisRésumé
Research on port digitalisation increasingly relies on surveys of port actors, yet few studies report how their measures were developed and validated, and no instrument jointly captures port digital maturity, its organisational enablers and the four dimensions of port performance. This article develops and validates such an instrument. Thirty-seven items measuring eight constructs — digital maturity, digital dynamic capabilities, port community governance, digital skills, and operational, economic, environmental and social performance — were derived from published scales and port indices, reviewed by experts, back-translated between French and Arabic, and pre-tested. The instrument was administered to 150 members of the port communities of Tanger Med and of the ports managed by Morocco’s National Ports Agency in 2026. Exploratory factor analysis recovered the eight intended factors without cross-loadings above 0.30, although parallel analysis suggested a more parsimonious solution. After removing two items, a confirmatory factor analysis of the 35-item model showed good fit (χ²/df = 1.10; CFI = 0.977; TLI = 0.974; RMSEA = 0.026; SRMR = 0.053). Composite reliabilities ranged from 0.79 to 0.88, all average variances extracted exceeded 0.50, and discriminant validity was supported by the Fornell–Larcker criterion and heterotrait–monotrait ratios below 0.60. Compositional invariance held across the two port units, known-groups comparisons distinguished Tanger Med from the other ports on digital maturity (d = 0.68), and correlations followed theoretical expectations. The instrument offers researchers and port managers a validated, transparent tool for assessing digitalisation and its outcomes, and the article documents its limitations — notably the weaker measurement of social performance — to guide its refinement
Références
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411
Bichou, K., & Gray, R. (2004). A logistics and supply chain management approach to port performance measurement. Maritime Policy & Management, 31(1), 47–67. https://doi.org/10.1080/0308883032000174454
Brislin, R. W. (1970). Back-translation for cross-cultural research. Journal of Cross-Cultural Psychology, 1(3), 185–216. https://doi.org/10.1177/135910457000100301
Brooks, M. R., & Schellinck, T. (2013). Measuring port effectiveness in user service delivery: What really determines users’ evaluations of port service delivery? Research in Transportation Business & Management, 8, 87–96. https://doi.org/10.1016/j.rtbm.2013.07.001
Caldeirinha, V., Felício, J. A., Salvador, A. S., Nabais, J., & Pinho, T. (2020). The impact of port community systems (PCS) characteristics on performance. Research in Transportation Economics, 80, Article 100818. https://doi.org/10.1016/j.retrec.2020.100818
Crawford, A. V., Green, S. B., Levy, R., Lo, W.-J., Scott, L., Svetina, D., & Thompson, M. S. (2010). Evaluation of parallel analysis methods for determining the number of factors. Educational and Psychological Measurement, 70(6), 885–901. https://doi.org/10.1177/0013164410379332
Dijkstra, T. K., & Henseler, J. (2015). Consistent partial least squares path modeling. MIS Quarterly, 39(2), 297–316. https://doi.org/10.25300/MISQ/2015/39.2.02
Fabiano, B., Currò, F., Reverberi, A. P., & Pastorino, R. (2010). Port safety and the container revolution: A statistical study on human factor and occupational accidents over the long period. Safety Science, 48(8), 980–990. https://doi.org/10.1016/j.ssci.2009.08.007
Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. https://doi.org/10.1037/1082-989X.4.3.272
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
Gekara, V. O., & Nguyen, V. X. (2018). New technologies and the transformation of work and skills: A study of computerisation and automation of Australian container terminals. New Technology, Work and Employment, 33(3), 219–233. https://doi.org/10.1111/ntwe.12118
González, A. R., González-Cancelas, N., Molina Serrano, B., & Orive, A. C. (2020). Preparation of a smart port indicator and calculation of a ranking for the Spanish port system. Logistics, 4(2), Article 9. https://doi.org/10.3390/logistics4020009
Ha, M.-H., Yang, Z., & Lam, J. S. L. (2019). Port performance in container transport logistics: A multi-stakeholder perspective. Transport Policy, 73, 25–40. https://doi.org/10.1016/j.tranpol.2018.09.021
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). Sage.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
Hayton, J. C., Allen, D. G., & Scarpello, V. (2004). Factor retention decisions in exploratory factor analysis: A tutorial on parallel analysis. Organizational Research Methods, 7(2), 191–205. https://doi.org/10.1177/1094428104263675
Heilig, L., Lalla-Ruiz, E., & Voß, S. (2017). Digital transformation in maritime ports: Analysis and a game theoretic framework. NETNOMICS: Economic Research and Electronic Networking, 18(2–3), 227–254. https://doi.org/10.1007/s11066-017-9122-x
Heilig, L., & Voß, S. (2017). Information systems in seaports: A categorization and overview. Information Technology and Management, 18(3), 179–201. https://doi.org/10.1007/s10799-016-0269-1
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Henseler, J., Ringle, C. M., & Sarstedt, M. (2016). Testing measurement invariance of composites using partial least squares. International Marketing Review, 33(3), 405–431. https://doi.org/10.1108/IMR-09-2014-0304
Hinkin, T. R. (1998). A brief tutorial on the development of measures for use in survey questionnaires. Organizational Research Methods, 1(1), 104–121. https://doi.org/10.1177/109442819800100106
Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30(2), 179–185. https://doi.org/10.1007/BF02289447
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
International Labour Office. (2018). Safety and health in ports: ILO code of practice (Rev. 2016 ed.).
Jarvis, C. B., MacKenzie, S. B., & Podsakoff, P. M. (2003). A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research, 30(2), 199–218. https://doi.org/10.1086/376806
Jiang, B., Haider, J., Li, J., Wang, Y., Yip, T. L., & Wang, Y. (2023). Exploring the impact of port-centric information integration on port performance: The case of Qingdao Port. Maritime Policy & Management, 50(4), 466–491. https://doi.org/10.1080/03088839.2021.2007551
Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20(1), 141–151. https://doi.org/10.1177/001316446002000116
Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31–36. https://doi.org/10.1007/BF02291575
Kishore, L., Pai, Y. P., Geetha, E., Dmello, V. J., & Bidi, S. B. (2025). The impact of dynamic capabilities on shipping port performance: A serial-mediation of sustainability practices based on dynamic capability view. Discover Sustainability, 6, Article 429. https://doi.org/10.1007/s43621-025-01235-4
Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). Guilford Press.
Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1–10. https://doi.org/10.4018/ijec.2015100101
Kump, B., Engelmann, A., Kessler, A., & Schweiger, C. (2019). Toward a dynamic capabilities scale: Measuring organizational sensing, seizing, and transforming capacities. Industrial and Corporate Change, 28(5), 1149–1172. https://doi.org/10.1093/icc/dty054
Li, Y., Tian, X., Lu, Z., & Wu, J. (2025). Impact of digital transformation on sustainable development of port performance: Evidence from Tangshan Port. Sustainability, 17(15), Article 6902. https://doi.org/10.3390/su17156902
Lim, S., Pettit, S., Abouarghoub, W., & Beresford, A. (2019). Port sustainability and performance: A systematic literature review. Transportation Research Part D: Transport and Environment, 72, 47–64. https://doi.org/10.1016/j.trd.2019.04.009
Lu, C.-S., Shang, K.-C., & Lin, C.-C. (2016). Examining sustainability performance at ports: Port managers’ perspectives on developing sustainable supply chains. Maritime Policy & Management, 43(8), 909–927. https://doi.org/10.1080/03088839.2016.1199918
Lynn, M. R. (1986). Determination and quantification of content validity. Nursing Research, 35(6), 382–386. https://doi.org/10.1097/00006199-198611000-00017
MacKenzie, S. B., Podsakoff, P. M., & Podsakoff, N. P. (2011). Construct measurement and validation procedures in MIS and behavioral research: Integrating new and existing techniques. MIS Quarterly, 35(2), 293–334. https://doi.org/10.2307/23044045
Mara, C., & Mokoena, S. P. (2024). Digital dynamic capabilities that may enhance port efficiency. In Proceedings of the 42nd Annual Southern African Transport Conference. http://hdl.handle.net/2263/99251
Molavi, A., Lim, G. J., & Race, B. (2020). A framework for building a smart port and smart port index. International Journal of Sustainable Transportation, 14(9), 686–700. https://doi.org/10.1080/15568318.2019.1610919
O’Connor, E., Evers, N., & Vega, A. (2019). Port performance from a policy perspective: A systematic review of the literature. Journal of Ocean and Coastal Economics, 6(1), Article 3. https://doi.org/10.15351/2373-8456.1093
Paulraj, A., Lado, A. A., & Chen, I. J. (2008). Inter-organizational communication as a relational competency: Antecedents and performance outcomes in collaborative buyer–supplier relationships. Journal of Operations Management, 26(1), 45–64. https://doi.org/10.1016/j.jom.2007.04.001
Philipp, R. (2020). Digital readiness index assessment towards smart port development. Sustainability Management Forum, 28(1), 49–60. https://doi.org/10.1007/s00550-020-00501-5
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63, 539–569. https://doi.org/10.1146/annurev-psych-120710-100452
Polit, D. F., & Beck, C. T. (2006). The content validity index: Are you sure you know what’s being reported? Critique and recommendations. Research in Nursing & Health, 29(5), 489–497. https://doi.org/10.1002/nur.20147
Puig, M., Wooldridge, C., & Darbra, R. M. (2014). Identification and selection of environmental performance indicators for sustainable port development. Marine Pollution Bulletin, 81(1), 124–130. https://doi.org/10.1016/j.marpolbul.2014.02.006
Robinson, R. (2002). Ports as elements in value-driven chain systems: The new paradigm. Maritime Policy & Management, 29(3), 241–255. https://doi.org/10.1080/03088830210132623
Sirajuddin, Januarsi, Y., Irman, A., & Ridwan, A. (2026). Integrated port governance and digitalization system: A model for boosting port logistics performance. The Asian Journal of Shipping and Logistics, 42(2), 84–96. https://doi.org/10.1016/j.ajsl.2025.12.002
Talley, W. K. (1994). Performance indicators and port performance evaluation. Logistics and Transportation Review, 30(4), 339–352.
Talley, W. K. (2006). Port performance: An economics perspective. Research in Transportation Economics, 17, 499–516. https://doi.org/10.1016/S0739-8859(06)17022-5
Tanger Med Port Community System. (2022, January 3). Total digitization of import and export port passage. https://tangermedpcs.com/en/news/total-digitization-import-and-export-port-passage
Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319–1350. https://doi.org/10.1002/smj.640
Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533. https://doi.org/10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z
Triska, Y., Frazzon, E. M., Silva, V. M. D., & Heilig, L. (2024). Smart port terminals: Conceptual framework, maturity modeling and research agenda. Maritime Policy & Management, 51(2), 259–282. https://doi.org/10.1080/03088839.2022.2116752
UNCTAD. (2016). Port performance: Linking performance indicators to strategic objectives (Port Management Series, Vol. 4; UNCTAD/DTL/KDB/2016/1). United Nations. https://tft.unctad.org/en/publications/port-management-series-volume-4/
van Deursen, A. J. A. M., Helsper, E. J., & Eynon, R. (2016). Development and validation of the Internet Skills Scale (ISS). Information, Communication & Society, 19(6), 804–823. https://doi.org/10.1080/1369118X.2015.1078834
Warner, K. S. R., & Wäger, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long Range Planning, 52(3), 326–349. https://doi.org/10.1016/j.lrp.2018.12.001
Wilden, R., Gudergan, S. P., Nielsen, B. B., & Lings, I. (2013). Dynamic capabilities and performance: Strategy, structure and environment. Long Range Planning, 46(1–2), 72–96. https://doi.org/10.1016/j.lrp.2012.12.001
Woo, S.-H., Pettit, S., & Beresford, A. K. C. (2011). Port evolution and performance in changing logistics environments. Maritime Economics & Logistics, 13(3), 250–277. https://doi.org/10.1057/mel.2011.12
World Bank & S&P Global Market Intelligence. (2025). The Container Port Performance Index 2020 to 2024: Trends and lessons learned. World Bank. https://www.worldbank.org/en/topic/transport/publication/cppi-2024
Yen, B. T. H., Huang, M.-J., Lai, H.-J., Cho, H.-H., & Huang, Y.-L. (2023). How smart port design influences port efficiency – A DEA-Tobit approach. Research in Transportation Business & Management, 46, Article 100862. https://doi.org/10.1016/j.rtbm.2022.100862
Zhao, G., Xie, X., Jones, P., & Wu, X. (2026). A critical examination of the impact of big data analytics capability on container port performance. Technology in Society, 88, Article 103469. https://doi.org/10.1016/j.techsoc.2026.103469
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