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        1.
        2019.12 구독 인증기관 무료, 개인회원 유료
        Maritime transportation plays a significant role in global economies. Seaports as primal nodes in maritime supply chain are also indispensable in ensuring efficient and effective global trading. On the other hand, seaport inefficiencies have profound influences on the overall performance which can cause congestion, operational disruption, high cost expenses, unnecessary wastes and environmental pollution, which eventually resulting significant financial losses. As a result, business and environmental sustainability will not be achieved. In order to overcome these hindrances, a novel performance model of Lean, Agile, Resilience and Green (LARG) is proposed as management tools for enhancing the business and environmental sustainability in seaport supply chain operations. The compatibility of LARG paradigms in seaport supply chain need to be identified and analysed to achieve the research aim. This paper employed a compatibility analysis for the new LARG paradigm for enhancing seaport supply chain practices. In this analysis, all potential paradigms are thoroughly reviewed and further validated by the domain experts consisting of academic and industry experts. The result of this paper shows that 17 selected LARG paradigms are compatible with 23 seaport supply chain practices respectively. For future research, the identified paradigms can be further investigated for many purposes such as measuring their influence on seaport supply chain practices and even assessing their applicability. It is worth mentioning that this research outcomes can assist Malaysian seaport practitioners to develop an enhanced management paradigm to boost their performance based on LARG model. Moreover, this model also can be applied globally as it is able to be adapted, revised and adjusted to suit the seaport preferences. As a result, this model able to enhance business capabilities, operational efficiencies and competitive advantages of seaport supply chain operations globally.
        4,600원