IIARD International Institute of Academic Research and Development

Journal of Business and African Economy (JBAE )

E-ISSN 2545-5281
P-ISSN 2695-2238
VOL. 9 NO. 3 2023
DOI: https://doi.org/10.56201/jbae.v9.no3.2023.pg239.251

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Deferment and Supply Chain Resilience of Courier Firms in Rivers State

Ogonu, Gibson Chituru, Chuku, Elliot Ezindah, Jumbo, Mercy Abere

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Abstract

The study investigated the relationship between deferment and supply chain resilience of courier service firms in Rivers State. The study adopted the cross-sectional survey research design. The population of this study comprised all the 237 courier service firms registered with the courier regulatory department of the Nigerian postal service (NIPOST 2009). The Taro Yamane formula was used to determine an appropriate sample size for the study; the sample size for the study was one hundred and forty-nine (149) respondents. The hypotheses were tested using the Pearson Product Moment Correlation Coefficient with the aid of the Statistical Tool for Social Science (SPSS Version 22). The study revealed that postponement has positive and very strong relationship with supply chain resilience in the courier service firms in Rivers State. The study recommends that management of courier firms ensure to deploy should be a key aspect of the business as the constant engaging of the customers foster customer willingness to repeat the purchase of the service, remain committed to the brand and ultimately become loyal customers

keywords:

Postponement, Supply chain resilience, flexibility, Agility

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References:

Amadi, K.I. & Obinna, G. B. E. (2021). Compensation and organizational citizenship behaviour in
courier service companies in Rivers State. International Journal of Business Systems and
Economics,13(4), 211 — 224.

Appelqvist, P. & Gubi, E, (2005). Postponed variety creation: Case study in consume electronics
retail. International Journal of Retail & Distribution Management, 33(10), 734-748.

Aviv, Y. & Federgruen, A. (2001). Design for postponement: A comprehensive characterization of
its benefits under unknown demand distributions. Operations Research, 49 (4), 578-598

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