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首页> 外文期刊>American Journal of Industrial and Business Management >Identification of Sickness of Some Selected Garment Factories in Bangladesh and Its Remedial Measures: An Application of Altman’s Z-Score Model
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Identification of Sickness of Some Selected Garment Factories in Bangladesh and Its Remedial Measures: An Application of Altman’s Z-Score Model

机译:孟加拉国一些选定服装工厂的疾病的鉴定及其补救措施:Altman Z分数模型的应用

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The study is an attempt to identify sickness of selected garment factories in Bangladesh by the applications of Altman’s Z-Score Model and provide a set of remedial measures. Based on the secondary data, two hypotheses are formulated in this regard. Comparative analysis of descriptive statistics, ANOVA, Pearson co-relation coefficient and regression analysis are conducted to reach the objective. Altman’s Z-Score found that BHML (1.28) and Generation (0.55) garment factories are in sick zone (Less than 1.81). The garment factory-Style shows that its position is out of sick zone (2.99 < 3.16) during the period under study. The measurements of Pearson’s correlation coefficient of Altman’s Z-score associated with each of those 5 (five) are found to be a negative association in most of the cases of the selected garment factories under study which imply the symptoms of sickness tendency for the specified cases. The results of ANOVA-Test for Altman’s model related variables of the selected garment factories under study revealed that the sickness symptoms of the sample garment factories are not the same over the period under review. The identified causes of sickness are inefficiency in working capital management, inefficient operations of current assets, underutilization of available resources, the presence of idle capacity, below satisfactory of activity level in terms of productions etc. The remedial measures suggest to providing sufficient working capital, utilize resources properly, reduce idle capacity, ensure acceptable return on equity, reinvest retained earnings, improve operating profit by reducing operating expenses, improve satisfaction level of productions and sales operations etc.
机译:该研究旨在通过Altman的Z-Score模型的应用,识别孟加拉国选定的服装工厂的疾病,并提供一系列补救措施。基于二级数据,在这方面配制了两个假设。对描述性统计,ANOVA,Pearson共同关系系数和回归分析的比较分析达到目标。 Altman的Z分数发现,生病区(1.28)和一代服装工厂(小于1.81)。服装厂式表明,在研究期间,其位置在生病区(2.99 <3.16)。在研究中的大多数衣服工厂的大多数情况下,发现Pearson与每个5(五)相关的Z-S分子的相关系数的测量结果是在研究下的大多数情况下是负关联,这意味着指定案件的疾病趋势症状。 ALOVA-TEST对ALTMAN的模型相关变量的ALOVA检验在研究中进行了研究,揭示了样品服装工厂的疾病症状在审查期内不一样。鉴定的疾病原因是营运资金管理的效率低下,流动资产的低效操作,可用资源的未充分利用,闲置能力的存在,低于生产方面的活动水平等。补救措施建议提供足够的营运资金,正确利用资源,降低空闲能力,确保股权回报,重新投资保留收益,通过减少运营费用,提高营业费用,提高制作水平和销售运营等营业利润等。

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