Stimulators of third-party logistics performance of supply chains in the Nigerian manufacturing industry

Author:

Ewuzie Cajetan1ORCID,Ugwuonah Geraldine2,O. Okolo Victor3ORCID,Okocha Ebere4ORCID,Okoro Agu Agu5

Affiliation:

1. Ph.D., Lecturer I., Department of Marketing, Faculty of Business Administration, University of Nigeria Nsukka

2. Ph.D., Professor, Department of Marketing, Faculty of Business Administration, University of Nigeria Nsukka

3. Ph.D., Senior Lecturer, Department of Marketing, Enugu Campus, University of Nigeria Nsukka

4. Ph.D., Senior Lecturer, Department of Marketing, College of Management Sciences, Evangel University Akaeze

5. Ph.D., Senior Lecturer, Department of Business Management, College of Management Sciences, Evangel University Akaeze

Abstract

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.

Publisher

LLC CPC Business Perspectives

Subject

Business and International Management,General Business, Management and Accounting,Information Systems and Management,Law,Sociology and Political Science,Social Sciences (miscellaneous)

Reference63 articles.

1. 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. - https://jsd-africa.com/Jsda/2019%20V21No1%20Spring/PDF/Impact%20of%20Logistics%20Management%20on%20Organizational%20%20Performance_Falilat%20Abdul.pdf

2. 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.

3. A Model of Distributor Firm and Manufacturer Firm Working Partnerships

4. 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. - http://hdl.handle.net/11295/31697

5. 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. - https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002616457

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