Operational performance model for Indian container terminals using qualitative comparative analysis

IF 3.3 Q2 TRANSPORTATION
VPS Nihar Nanyam , Kumar Neeraj Jha
{"title":"Operational performance model for Indian container terminals using qualitative comparative analysis","authors":"VPS Nihar Nanyam ,&nbsp;Kumar Neeraj Jha","doi":"10.1016/j.ajsl.2022.08.001","DOIUrl":null,"url":null,"abstract":"<div><p>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 decision-makers in improving the operational performance of container terminals.</p></div>","PeriodicalId":46505,"journal":{"name":"Asian Journal of Shipping and Logistics","volume":null,"pages":null},"PeriodicalIF":3.3000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2092521222000268/pdfft?md5=cb97c60883d297cf4c5591ce0d385490&pid=1-s2.0-S2092521222000268-main.pdf","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Shipping and Logistics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2092521222000268","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 2

Abstract

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 decision-makers in improving the operational performance of container terminals.

采用定性比较分析的印度集装箱码头运营绩效模型
趋势预测显示,到2025年,印度集装箱码头将处理2500万标准箱(teu)。然而,提高操作性能是实现这一目标的最佳策略。尽管印度政府采取了一些措施,但许多因素对印度集装箱码头的运营业绩产生了不利影响。本研究确定了影响印度集装箱码头经营绩效的因素及其相互作用。运用模糊定性比较分析(QCA)建立了一个包含成功因素的概念模型。通过QCA开发的概念模型包括物理特征、驱动因素和挑战。这项研究揭示了所确定的因素的综合和个别影响。结果表明,最常见的因素是码头基础设施、堆场基础设施、基础设施升级、系统举措、冷藏系统和物流优势。本研究补充了关于印度集装箱码头绩效的现有文献,并为决策者提高集装箱码头的运营绩效提供了支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
7.80
自引率
6.50%
发文量
23
审稿时长
92 days
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信