Nazif Hasan Chowdhury, Abu Sayed Rafi, Sumaiya Siddika, G. Kibria, T. Islam
{"title":"SWOT Analysis of Bangladeshi Apparel Industries Compared to Global Market and a Comprehensive Scenario","authors":"Nazif Hasan Chowdhury, Abu Sayed Rafi, Sumaiya Siddika, G. Kibria, T. Islam","doi":"10.11648/j.ijefm.20200804.13","DOIUrl":null,"url":null,"abstract":"In this project work, from the top readymade garments or apparel exporter countries, three countries like China, Vietnam and India are taken with Bangladesh for comparison. For the work, SWOT analysis method is used to find Strength, Weakness, Opportunities and Threats for the apparel industry of each country. Information and data are collected from reliable sources like the statistics and rankings of the World Bank, WTO, WLO, different journals which are published internationally. The aim of this study is to determine the genuine present scenario of Bangladeshi apparel industry compared to the competitor countries and to study how we are improving compared to them. This work indicates the specific points where we have to improve immediately and the points that we have to take really good care of. Hence as a result after conducting the SWOT analysis the obtained information and all the data, tables and graphs illustrate that the scenario of the Bangladeshi apparel sector is in satisfactory position though the alarming thing is that the competitor countries are putting more effort to improve their condition and they are getting it rapidly. On the other hand, our effort is less and we are not improving significantly except our recent compliance, GDP and green factory initiatives. In this work we find out a solution by analyzing which points are needed to work on for sustaining as a tough competitor in the apparel exporter market share for a longer period and to make maximum export earnings.","PeriodicalId":258703,"journal":{"name":"International Journal of Economics, Finance and Management Sciences","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Economics, Finance and Management Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11648/j.ijefm.20200804.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this project work, from the top readymade garments or apparel exporter countries, three countries like China, Vietnam and India are taken with Bangladesh for comparison. For the work, SWOT analysis method is used to find Strength, Weakness, Opportunities and Threats for the apparel industry of each country. Information and data are collected from reliable sources like the statistics and rankings of the World Bank, WTO, WLO, different journals which are published internationally. The aim of this study is to determine the genuine present scenario of Bangladeshi apparel industry compared to the competitor countries and to study how we are improving compared to them. This work indicates the specific points where we have to improve immediately and the points that we have to take really good care of. Hence as a result after conducting the SWOT analysis the obtained information and all the data, tables and graphs illustrate that the scenario of the Bangladeshi apparel sector is in satisfactory position though the alarming thing is that the competitor countries are putting more effort to improve their condition and they are getting it rapidly. On the other hand, our effort is less and we are not improving significantly except our recent compliance, GDP and green factory initiatives. In this work we find out a solution by analyzing which points are needed to work on for sustaining as a tough competitor in the apparel exporter market share for a longer period and to make maximum export earnings.