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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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05 July 2023, Volume 38 Issue 3
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Abstract
It is an empirical study which has been conducted to explore the area of concern in the logistics operation based on the responses collected from exporters of electronics and computer software and freight forwarders experienced during course of export and import consignment. The global LPI is being calculated on every 2 years by the world bank reflecting the logistics friendliness and competitiveness of the different countries, where India stands on 38th Position out of 139 countries in according to WB LPI 2023 report. This study has tried to explore the area in which government is supposed to take improvement measures based on the traders and freight forwarders perception towards logistics mechanism with special reference to electronics and computer software items export and import. The study is based on primary data collected through structured questionnaire developed along eight finalised indicators to measure logistics performance in electronics and computer software trade. To reach the inference, principal component analysis method, normalised weighting method and sensitivity analysis have been used which reflect that information system and prices paid during the logistics operation at different points are two major area with which traders and freight forwarders are satisfied, whereas other indicators need further improvement to have an overall efficient logistics mechanism for the export and import of electronic products and that of the computer allied articles as well.
Keyword
Electronics and Computer Software, Trade, Logistics, Performance Measurement, Principal Component Analysis (PCA).
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