Innovation of Logistics Service Providers and its impact on logistics service efficiency of supply chains

Authors

Keywords:

Logistics Service Providers (3PL, 4PL), , supply chains, innovations, efficiency

Abstract

Aim: This article presents the results of an empirical study relating to the impact of implemented innovations by 3PL operators and 4PL logistics integrators on the efficiency of supply chain logistics service.

Methodology: In the methodological layer, for the empirical research it was necessary to carry out a literature review, conducted using the procedure proposed by Tranfield, Denyer and Smart (2003). As shown in the review, the issue of innovation and innovativeness in supply chain logistics service provided by Logistics Service Providers has been addressed in the literature by many researchers, nevertheless often from different and even dissimilar perspectives. Hence, based on the literature review and the identified research gaps, an empirical study (quantitative survey, using Partial Least Squares (PLS) path modelling) carried out at a further stage with the main aim of identifying the impact of innovations implemented by Logistics Service Providers on the efficiency of supply chain logistics service. The survey was conducted among Logistics Service Providers (3PL, 4PL) operating in Poland.

Results: The research results showed, among other things, a strong impact of innovativeness of Logistics Service Providers on the efficiency of implemented logistics service of supply chains, which corresponds to the results of previous studies by other authors, including Grawe et al. (2015), and Bellingkrodt & Wallenburg (2013).

Implications and recommendations: The results of the research can be used to improve the activities of companies in the logistics services industry that wish to implement innovation and offer more advanced services.

Originality/value: The presented issues and conclusions from the conducted research can be treated as a voice in the discussion and an attempt to integrate previous literature studies, and therefore knowledge and research practice on the subject of innovations and innovative solutions implemented by 3PL operators and 4PL logistics integrators and their impact on the efficiency of the realised logistics service of supply chains. The article also identifies limitations and directions for further research.

Downloads

Download data is not yet available.

References

Bellingkrodt, S., & Wallenburg, C. M. (2013). The Role of External Relationships for LSP Innovativeness: A Contingency Approach. Journal of Business Logistics, 34(3), 209-221. https://doi.org/10.1111/jbl.12020

Cabdoi, C. (2004). Fourth Party Logistics: Turning a cost into a value proposition. Retrieved August 17, 2019, from http://ebizqma2.techtarget.com/topics/scm/features/3881.html?page=1

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (Second edition, p. 477-478). Lawrence Erlbaum Associates Publishers.

Evangelista, P., Mogre, R., Perego, A., Raspagliesi, A., & Sweeney, E. (2012). A survey based analysis of IT adoption and 3PLs' performance. Supply Chain Management, 17, 172-186. https://doi.org/10.1108/13598541211212906

Filser, M., & Pache, G. (2008). La Dynamique des canaux de distribution: approche théorique et rupture stratégique. Revue Française de Gestion, Lavoisier, 182, 109-133. https://shs.cairn.info/revue-francaise-de-gestion-2008-2-page-109?lang=fr

Flint, D. J., Larsson, E., Gammelgaard, B., & Mentzer, J. T. (2005). Logistics innovation: A customer value-oriented social process. Journal of Business Logistics, 26(1), 113-147. https://doi.org/10.1002/j.2158-1592.2005.tb00196.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/10.2307/3151312

Fugate, B. S., Mentzer, J. T., & Stank, T. P. (2010). Logistics Performance: Efficiency, Effectiveness, and Differentiation. Journal of Business Logistics, 31(1), 43-62. https://doi.org/10.1002/j.2158-1592.2010.tb00127.x

Geisser, S. (1974). A predictive approach to the random effects model. Biometrika, 61(1), 101-107. https://doi.org/10.2307/2334290

Grawe, S. J. (2009). Logistics innovation: A literature-based conceptual framework. The International Journal of Logistics Management, 20(3), 360-377. https://doi.org/10.1108/09574090911002823

Grawe, S. J., Daugherty, P. J., & Ralston, P. M. (2015). Enhancing Dyadic Performance Through Boundary Spanners and Innovation: An Assessment of Service Provider-Customer Relationships. Journal of Business Logistics, 36(1), 88-101. https://doi.org/10.1111/jbl.12077

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM) (pp.198-199). Sage Publications.

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance. Long Range Planning, 46(1-2), 1-12. https://doi.org/10.1016/j.lrp.2013.01.001

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, 115-135. https://link.springer.com/article/10.1007/s11747-014-0403-8

Hulland, J. (1999). Use of Partial Least Squares (PLS) in Strategic Management Research: A Review of Four Recent Studies. Strategic Management Journal, 20(2), 195-204.

Jick, T. D. (1979). Mixing Qualitative and Quantitative Methods: Triangulation in Action. Administrative Science Quarterly, 24(4), Qualitative Methodology, pp. 602-611. https://doi.org/10.2307/2392366

Knemeyer, A. M., & Murphy, P. R. (2004). Evaluating the performance of third-party logistics arrangements: A relationship marketing perspective. Journal of Supply Chain Management, 40(4), 35-51. https://doi.org/10.1111/j.1745-493X.2004.tb00254.x

Kock, N. (2018). WarpPLS user manual: Version 6.0. Script Warp Systems.

Kock, N. (2014). Using data labels to discover moderating effects in PLS-based structural equation modeling. International Journal of e-Collaboration, 10(4), 1-16. https://doi.org/10.4018/ijec.2014100101

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

Kock, N. (2016). Hypothesis testing with confidence intervals and P values in PLS-SEM. International Journal of e-Collaboration, 12(3), 1-6. https://doi.org/10.4018/IJeC.2016070101

Kock, N. (2018). WarpPLS user manual: Version 6.0. ScriptWarp Systems.

Langley, C. J. Jr., & Holcomb, M. C. (1992). Creating Logistics Customer Value. Journal of Business Logistics, 13(2), 1-27.

Leahy, S. E., Murphy, P. R., & Poist, R. F. (1995). Determinants of successful logistical relationships: A third party provider perspective. Transportation Journal, 35(2), 5-13.

Lianguang, C., Hertz, S., & Su Shong-Iee, I. (2010). Innovation in an international third party logistics firm: A strategy-as-practice perspective. Journal of Transport and Supply Chain Management, 4(1), 69-88. https://doi.org/10.4102/jtscm.v4i1.12

Mentzer, J. T., & Konrad, B. P. (1991). An Efficiency/Effectiveness Approach to Logistics Performance Analysis. Journal of Business Logistics, 12(1), 33-62. https://trid.trb.org/view/340577

Murphy, P. R., & Poist, R. F. (1998). Third Party Logistics Usage: An Assessment of Propositions Based on Previous Research. Transportation Journal, 37(4), 26-35. http://www.jstor.org/stable/20713362

OECD/Eurostat. (2005). Oslo Manual: Guidelines for Collecting and Interpreting Innovation Data, 3rd ed., The Measurement of Scientific and Technological Activities. OECD Publishing. https://doi.org/10.1787/9789264013100-en

Özoğlu, B., & Büyükkeklik, A. (2017). An Analysis of Third Party Logistics Performance and Customer Loyalty. International Journal of Marketing Studies, 9(6), 55-67. https://doi.org/10.5539/ijms.v9n6p55

Qian, Ch., Wang, S, Liu, X., & Zhang, X. (2019). Low-Carbon Initiatives of Logistics Service Providers: The Perspective of Supply Chain Integration. Sustainability 11(12), 3233, 1-13. https://doi.org/10.3390/su11123233

Sanchez, G. (2013). PLS Path Modeling with R (p. 68). Trowchez Editions.

Selviaridis, K., & Spring, M., (2007). Third party logistics: A literature review and research agenda. International Journal of Logistics Management, 18(1), 125-150. https://doi.org/10.1108/09574090710748207

Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British Journal of Management, 14(3), 207-222. https://doi.org/10.1111/1467-8551.00375

Van Klink, A., & Visser, E.-J., (2004). Innovation in Dutch Horticulture: Fresh Ideas in Fresh Logistics. Tijdschrift voor economische en Sociale Geografie, 95(3), 340-346. https://doi.org/10.1111/j.1467-9663.2004.00312.x

Wagner, S., & Busse, C. (Eds.) (2008). Managing Innovation − The New Competitive Edge for Logistics Service Providers. Haupt.

Wagner, S. M., & Sutter, R. (2012). A qualitative investigation of innovation between third-party Logistics providers and customers. International Journal of Production Economics, 140(2), 94-98. https://doi.org/10.1016/j.ijpe.2012.07.018

Wallenburg, C. M., & Lukassen, P. (2011). Proactive improvement of logistics service providers as driver of customer loyalty. European Journal of Marketing, 45, 438-454. https://doi.org/10.1108/03090561111107267

Wasielewska-Marszałkowska, I. (2023). Innovation process at logistics services providers: Barriers and stimulation factors. Scientific Papers of Silesian University of Technology – Organization & Management, 72, 635-657. https://doi.org/10.29119/1641-3466.2023.172.39

Win, A., (2008). The value a 4PL provider can contribute to an organization. International Journal of Physical Distribution & Logistics Management, 38(9), 674-684. https://doi.org/10.1108/09600030810925962

Wetzels, M., Odekerken-Schröder, G., & van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. Marketing & Supply Chain Management, 33(1), 177-196. https://doi.org/10.2307/20650284

Zacharia, Z. G., Sanders, N. R., & Nix, N. W. (2011). The emerging role of the third-party logistics provider (3PL) as an orchestrator. Journal of Business Logistics, 32(1), 40-54. https://doi.org/10.1111/j.2158-1592.2011.01004.x

Downloads

Published

2026-02-27

Issue

Section

Articles

Categories

Received 2025-02-10
Accepted 2025-09-11
Published 2026-02-27