Stimulators of third-party logistics performance of supply chains in the Nigerian manufacturing industry
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DOIhttp://dx.doi.org/10.21511/ppm.21(3).2023.14
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Article InfoVolume 21 2023, Issue #3, pp. 176-188
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Creative Commons Attribution 4.0 International License
The COVID-19 disruption of supply chains has motivated manufacturing companies in Nigeria to build and maintain supply chain visibility, robustness, and resilience to remain third-party logistics providers. It is vital to have an adequate understanding of third-party logistics performance drivers. Most studies have concentrated on third-party logistics capability, while few others explored the impact of relational governance structures on performance. However, studies examining the synergy between third-party logistics capability and relationship management are scarce. The purpose of this study is to investigate the stimulators of third-party logistics performance in the Nigerian manufacturing industry. A descriptive survey, e-mail questionnaire, and PLS-SEM approach was used to collect and analyze the data from a sample of 364 manufacturing companies in Nigeria. The findings indicated that relationship management has a significant positive association with third-party logistics capability (β= 0.785, t = 3.457, p < 0.001); relationship management has a significant negative association with supply chain risk (β= –0.209, t = 4.149, p < 0.001); third-party logistics capability has a significant negative association with supply chain risk (β = –0.620, t = 3.199, p < 0.001); supply chain risk has a significant negative association with logistics performance (β= –0.695 t = 5.396, p < 0.001). Hence, relationship management, third-party logistics capability, and supply chain risk are drivers of third-party logistics performance. Therefore, supply chain partners should manage their relationships to strengthen third-party logistics capability and reduce all kinds of uncertainties and risks.
- Keywords
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JEL Classification (Paper profile tab)M11, L25
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References63
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Tables3
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Figures2
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- Figure 1. Proposed research model
- Figure 2. PLS-SEM output of hypothesized relationships and the structural model
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- Table 1. Items’ factor loadings, reliability, and validity (AVE)
- Table 2. Construct correlations and discriminant validity
- Table 3. Estimated results of the structural model and hypotheses tests outputs
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- Abdul, F. A., Aun, I. L., Oladipo, G. T., & Olota, O. O. (2019). Impact of logistics management on organizational performance (A case study of Dangote Flour Mills Plc, Nigeria). Journal of Sustainable Development in Africa, 21(1), 36-49.
- Ahimbisibwe, A., Omudang, S., Tusiime, W., & Tumuhairwe, R. (2016). Information technology capability, adoption, logistics service quality and the performance of third party logistics providers. European Journal of Logistics, Purchasing and Supply Chain Management, 4(2), 11-33.
- Anderson, J. C., & Narus, J. A. (1990). A model of distributor firm and manufacturer firm working partnerships. Journal of Marketing, 54(1), 42-58.
- Awino, Z. B. (2011). Strategic management: An empirical investigation of selected strategy variables on firms performance: A study of supply chain management in large private manufacturing firms in Kenya. Business Administration and Management (BAM), 1(1), 9-18.
- Aziz, A., Memon, J. A., & Ali, S. (2020). Logistics capability, logistics outsourcing and firm performance in manufacturing companies in Pakistan. Journal of Asian Finance, Economics and Business, 7(8), 435-444.
- Bagozzi, R., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Sciences, 16(1), 74-94.
- Barney, J. B. (1991). Firm resource and sustained competitive advantage. Journal of Management, 17(1), 99-120.
- Bechtsis, D., Tsolakis, N., Iakovou, E., & Vlachos, D. (2022). Data-driven secure, resilient and sustainable supply chains: Gaps, opportunities, and a new generalised data sharing and data monetisation framework. International Journal of Production Research, 60(14), 4397-4417.
- Bode, C., Wagner, S. M., Petersen, K. J., & Ellram, L. M. (2011). Understanding responses to supply chain disruptions: Insights from information processing and resource dependence perspectives. Academy of Management Journal, 54(4), 833-856.
- Bolumole, Y. A., Frankel, R., & Naslund, D. (2007). Developing a theoretical framework for logistics outsourcing. Transportation Journal, 46(2), 35-54.
- Butrina, Y. V., Tishina, V. N., & Tishin, P. Y. (2017). The management level of logistics customer service industrial enterprise. SHS Web of Conferences, 35, 01142.
- Chong, C. L. (2021). A conceptual model for strategic decision making in Malaysian third-party logistics industry. Proceedings of the Ninth International Conference on Entrepreneurship and Business Management (ICEBM 2020) (pp. 250-258).
- Chopra, S., & Sodhi, M. S. (2004). Managing risks to avoid supply chain breakdown. MIT Sloan Management Review, 46(1), 53-61+87.
- Choudhary, N. A., Singh, S., Schoenherr, T., & Ramkumar, M. (2023). Risk assessment in supply chains: A state-of-the-art review of methodologies and their applications. Annals of Operations Research, 322, 565-607.
- Council of Supply Chain Management Professionals. (2011). CSCMP supply chain management definition.
- Darko, E. O., & Vlachos, I. (2022). Creating valuable relationships with third-party logistics (3pl) providers: A multiple-case study. Logistics, 6(2), 38.
- de Oliveira, U. R., Espindola, L. S., & Marins, F. A. S. (2018). Analysis of supply chain risk management researches. Gestão & Produção, 25(4), 671-695.
- Deutsche Post DHL Group. (2016). Logistics trend radar, delivering insight today, creating value tomorrow!
- Dickens, J. M., Anderson, J. R., Reiman, A., Uvet, H., & Nowicki, D. R. (2023). Supply chain resilience: An empirical examination of the bouncing back or forward phenomenon. International Journal of Logistics Research and Applications, 26(2), 190-210.
- Du, L., Razzaq, A., & Waqas, M. (2023). The impact of COVID19 on small and mediumsized enterprises (SMEs): Empirical evidence for green economic implications. Environmental Science and Pollution Research, 30, 1540-1561.
- Durach, C. F., Wieland, A., & Machuca, J. A. D. (2015). Antecedents and dimensions of supply chain robustness: A systematic literature review. International Journal of Physical Distribution & Logistics Management, 45(1/2), 118-137.
- El Baz, J., & Ruel, S. (2021). Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era. International Journal of Production Economics, 233, 107972.
- Etokudoh, E. P., Boolaky, M., & Gungaphu, M. (2017). Third party logistics outsourcing: An exploratory study of the oil and gas industry in Nigeria. SAGE Open, 7(4).
- Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
- Fynes, B., de Búrca, S., & Mangan, J. (2008). The effect of relationship characteristics on relationship quality and performance. International Journal of Production Economics, 111(1), 56-69.
- Girma, S., & Görg, H. (2004). Outsourcing, foreign ownership and productivity: Evidence from UK establishment-level data. Review of International Economics, 12(5), 817-832.
- Green, K. W. Jr, Whitten, D., & Inman, R. A. (2008). The impact of logistics performance on organisational performance in a supply chain context. Supply Chain Management, 13(4), 317-327.
- Hair Jr., J. F, Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106-121.
- Hellström, D., & Nilsson, F. (2011). Logistics-driven packaging innovation: A case of IKEA. International Journal of Retail & Distribution Management, 39(9), 638-657.
- Hohenstein, N. O., Feisel, E., Hartmann, E., & Giunipero, L. (2015). Research on the phenomenon of supply chain resilience: A systematic review and paths for further investigation. International Journal of Physical Distribution & Logistics Management, 45(1/2), 90-117.
- Institute for Supply Management. (2021). Covid-19’s global impact on supply chains (White Paper).
- Juan, S.-J., Li, E. Y., & Hung, 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, 33(1), 339-364.
- Kalaiarasan, R., Agrawal, T.K., Olhager, J., Wiktorsson, M., & Hauge, J. B. (2023). Supply chain visibility for improving inbound logistics: A design science approach. International Journal of Production Research, 61(15), 5228-5243.
- Kim, S. T., Lee, H. H., & Hwang, T. (2020). Logistics integration in the supply chain: A resource dependence theory perspective. International Journal of Quality Innovation, 6.
- Kitano, H. (2004). Biological robustness. Nature Reviews Genetics, 5(11), 826-837.
- Knemeyer, A. M., & Murphy, P. R. (2005). Exploring the potential impact of relationship characteristics and customer attributes on the outcome of 3PL arrangements. Transportation Journal, 44(1), 5-19.
- Lin, Y., & Wu, L. (2014). Exploring the role of dynamic capabilities in firm performance under the resource-based view framework. Journal of Business Research, 67(3), 407-413.
- Liu, C.-L., & Lyons, A. C. (2011). An analysis of third-party logistics performance and service provision. Transportation Research Part E: Logistics and Transportation Review, 47(4), 547-570.
- Lu, C. S., & Yang, C. C. (2010). Logistics service capabilities and firm performance of international distribution center operators. The Service Industries Journal, 30(2), 281-298.
- Mageto, J. (2022). Current and future trends of information technology and sustainability in logistics outsourcing. Sustainability, 14(13), 7641.
- Manhart, P., Summers, J. K., & Blackhurst, J. (2020). A meta-analytic review of supply chain risk management: Assessing buffering and bridging strategies and firm performance. Journal of Supply Chain Management, 56(3), 66-87.
- McIvor, R. (2008). What is the right outsourcing strategy for your process? European Management Journal, 26(1), 24-34.
- Miller, K. D. (1992). A framework for integrated risk management in international business. Journal of International Business Studies, 23(2), 311-331.
- Ming, L. Y., Omain, S. Z. B., & Kowang, T. O. (2021). Supply chain resilience: A review and research direction. International Journal of Academic Research in Business and Social Sciences, 11(12), 2591-2603.
- Mohr, J., & Spekman, R. E. (1994). Characteristics of partnership success: Partnership attributes, communication behaviour, and conflict resolution techniques. Strategic Management Journal, 15(2), 135-152.
- Monostori, J. (2018). Supply chains’ robustness: Challenges and opportunities. Procedia CIRP, 67, 110-115.
- Nagarajan, V., Savitskie, K., Ranganathan, S., Sen, S., & Alexandrov, A. (2013). The effect of environmental uncertainty, information quality, and collaborative logistics on supply chain flexibility of small manufacturing firms in India. Asia Pacific Journal of Marketing and Logistics, 25(5), 784-802.
- Naim, M., Aryee, G., & Potter, A. (2010). Determining a logistics provider’s flexibility capability. International Journal of Production Economics, 127(1), 39-45.
- Nandi, S., Sarkis, J., Hervani, A., & Helms, M. (2021). Do blockchain and circular economy practices improve post COVID-19 supply chains? A resource-based and resource dependence perspective. Industrial Management Data Systems, 121(2), 333-363.
- Okolo, V. O., Nwodo, S. I., Obikeze, C. O., Okafor, J. N., Nebo, G. N., & Nwankwo, N. L. (2016). Effectiveness of social marketing campaign, & town hall meeting as a public relations strategy for combating human trafficking in Nigeria. The International Journal of Humanities & Social Studies, 4(1), 114-123.
- Panayides, P. M., & So, M. (2005). Logistics service provider-client relationship. Transportation Research Part E: Logistics and Transportation Review, 41(3), 179-200.
- Penrose, E. T. (1959). Thetheory of the growth of the firm. Wiley.
- Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management, 20(1), 124-143.
- Ringle, C. M., Wende, S., & Barker, J. M. (2015). Smart PLS 3. Boenningstedt: Smart PLS GmbH.
- Schramm-Klein, H., & Morschett, D. (2006). The relationship between marketing performance, logistics performance and company performance for retail companies. International Review of Retail, Distribution and Consumer Research, 16(2), 277-296.
- Sharma, S. K., Srivastava, P. R., Kumar, A., Jindal, A., & Gupta, S. (2023). Supply chain vulnerability assessment for manufacturing industry. Annals of Operations Research, 326, 653-683.
- Shikur, Z. H. (2022). Logistics performance, export, agricultural, manufacturing, and aggregate economic growth: A focus on sectoral perspectives. Journal of Economic Development, 47(3), 107-123.
- Simangunsong, E., Hendry, L. C., & Stevenson, M. (2012). Supply chain uncertainty: A review and theoretical foundation for future research. International Journal of Production Research, 50(16), 4493-4523.
- Somuyiwa, A. O., Odepidan, O. M., & Dosunmu, V. A. (2015). Impact of logistics outsourcing services on company transport cost in selected manufacturing companies in South Western Nigeria. European Journal of Logistics, Purchasing and Supply Chain Management, 3(4), 30-41.
- Wang, M., Jie, F., & Abareshi, A. (2018). Logistics capability, supply chain uncertainty and risks, and logistics performance: An empirical analysis of Australian courier industry. Operations and Supply Chain Management, 11(1), 45-54.
- Xu, Z., Elomri, A., Kerbach, L., & Omri, A. E. (2020). Impact of COVID-19 on global supply chain: Facts and perspectives. IEEE Engineering Management Review, 48(3), 153-166.
- Yang, C. C. (2012). Assessing the moderating effect of innovation capability of the relationship between logistics service capability and firm performance for ocean freight forwarders. International Journal of Logistics, Research and Application, 15(1), 53-69.
- Yang, J., Xie, H., Yu, G., & Liu, M. (2021). Antecedents and consequences of supply chain risk management capabilities: An investigation in the post-Coronavirus crisis. International Journal of Production Research, 59(5), 1573-1585.