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      • KCI등재

        Operational performance model for Indian container terminals using qualitative comparative analysis

        Nanyam V.P.S. Nihar,Jha Kumar Neeraj 한국해운물류학회 2022 The Asian journal of shipping and Logistics Vol.38 No.4

        Trend forecasting shows that Indian container terminals will handle 25 million twenty-foot equivalent units (TEUs) by 2025. However, improving operational performance is the best strategy to achieve this target. Many factors have adversely affected the Indian container terminal's operational performance despite the fact that the Indian government has undertaken several initiatives. This study identifies factors and interactive effects of the factors influencing the operational performance of Indian container terminals. A conceptual model is developed using fuzzy qualitative comparative analysis (QCA) encompassing the successful factors. The conceptual model developed through QCA includes the physical characteristics, driving factors, and challenges. This study reveals the combined and individual effects of the identified factors. The results show that the most common factors are the quay infrastructure, yard infrastructure, infrastructure up-gradation, system initiatives, reefer systems, and logistics advantage. This study adds to the existing literature regarding the Indian container terminals' performance and supports the decisionmakers in improving the operational performance of container terminals. © 2022 The Authors. Production and hosting by Elsevier B.V. on behalf of The Korean Association of Shipping and Logistics, Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

      • KCI등재

        Modeling challenges affecting the performance of major ports of India

        Nanyam V.P.S. Nihar,Kumar Jha Neeraj 한국해운물류학회 2023 The Asian journal of shipping and Logistics Vol.39 No.3

        Despite several initiatives taken by government of India since 2013 to improve the performance of major ports, growth was not as anticipated. Hence, there is a need to understand the performance of these major ports during 2013–2020 and to identify the critical challenges that affect their performance. Design/methodology/approach: Performance analysis was conducted using Malmquist productivity index (MPI) and critical challenges were identified using interpretive structural modelling (ISM) technique as well as the cross-impact matrix multiplication (MICMAC). Findings: Ten major ports in terms of operational, 12 ports in terms of service quality, and six ports in terms of financial performance have been categorised as high performers, based on the MPI values. 19 challenges affecting the performance were identified in an eight layered ISM model. Research limitations: This research is limited to major ports of India and does not cover the non-major ports of India due to unavailability of data Practical implications: This study will enable the port decision-makers to identify the ports which are high performers in terms of operational, service quality, and financial performance, and thereby the best practices followed across can be replicated. Originality/value: This study explored the multi dimensions of performance of Major ports of India and there was no such study in the past. Despite the existence of performance studies in the literature, none of them explored the challenges faced by the major ports

      • KCI등재

        Technical efficiency analysis of container terminals in India

        Iyer K. Chandrasekhar,Nanyam V.P.S. Nihar 한국해운물류학회 2021 The Asian journal of shipping and Logistics Vol.37 No.1

        Despite the number of studies on the efficiency of container ports, most studies are of developed nations, and very few are of developing nations, such as India. Indian container ports are very critical due to their location advantage and their ability to handle transhipment traffic. There is a need to understand their performance at the micro-level, specifically the terminal level rather than that of the whole port. This paper focuses on the analysis of the technical efficiency of 26 container terminals in India using a data envelopment analysis approach for the years 2015–2018 and interprets it with respect to location advantage, administrative control and private control of terminal operations. The research explores the Malmquist index which measures productivity changes over a period of time and deconstructs them into two components, namely efficiency change, referred to as catch-up, and frontier shift. This study enabled the ranking of these terminals in terms of their performances. The relative efficiency of container terminals on the west coast of India is found to be better than that of the east coast of India, and the efficiency of container terminals operating under major ports is on a declining path when compared with that of minor ports. The private participation has also not seen similar productivity changes across all container terminals. Among the seven high performing container terminals identified through the analysis provided, the terminal at Tuticorin emerged as the most consistent one in terms of relative efficiency and growth in total factor productivity. The dominant factor influencing the efficiency of a terminal is found to be the size of the terminal, offering the advantages of economies of scale.

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