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Effect of supply chain management in dealing with complexity drivers: A case study of Jubaili Agrotec

Ugah, Onyekwere (2020) Effect of supply chain management in dealing with complexity drivers: A case study of Jubaili Agrotec. Masters thesis, Dublin, National College of Ireland.

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Abstract

The global pandemic of coronavirus, coupled with globalization, technological advancement, as well as the proliferation of products and services have led to expanded complicatedness within the channel networks of organizations globally and Nigerian firms are not exempted. This as a result inhibits the effective flow of goods and services within the distribution channel as planned. It is, therefore, becomes apparent for firms seeking to strengthen their competitiveness to effectively manage the complexity drivers through the adoption of supply chain management. This study examines the effect of supply chain management in dealing with complexity drivers in Jubiali Agrotec. The purpose of this study was to ascertain Supply Chain Activities (SCA), Supply Chain Management Tools (SCMT), Supply Chain Enabling Technologies (SCeT) can be used in dealing with the Complexity Drivers (CD). To solve the problem of this study, a quantitative approach was adopted through a cross-sectional research design. The study population comprises of 120 employees in Jubiali Agrotec, while 92 employees in the logistic department were randomly sampled using a stratified sampling approach. A self administered structured electronic questionnaire was employed as the instrument of the study, and through the company’s social network sites, 79 copies of online questionnaires were filled and retrieved. In analyzing the data, the Statistical Package for Social Sciences (SPSSV25) was utilized, and the result was presented through the descriptive statistics, frequencies tables, as well as percentages. Inferential statistics such as linear regression and correlation coefficient were adopted in testing the hypotheses formulated for the study. The result of the study reveals that SCA; SCMT and SCeT are stronger predictors of SCCD, it further depicted that SCA; SCMT, and SCeT are statistically significant in dealing with the SCCD. Given the findings, the study concluded that a well-implemented supply chain management dimensions can help manage those drivers necessitating complexity within a firm supply chain network. The study, therefore, recommended the need for a firm to have a robust supply chain management framework in place to help redress the complicatedness within the distribution channel.

Keywords: Supply Chain Management, Supply Chain Activities, Supply Chain Management Technologies, Supply Chain Enabling Technologies.

Item Type: Thesis (Masters)
Subjects: T Technology > T Technology (General)
H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Agriculture Industry
H Social Sciences > HD Industries. Land use. Labor > Business Logistics > Supply Chain Management
Divisions: School of Business > Master of Science in International Business
Depositing User: Dan English
Date Deposited: 15 Feb 2021 13:20
Last Modified: 15 Feb 2021 13:20
URI: http://norma.ncirl.ie/id/eprint/4754

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