操作约束对手摇织机产品质量和生产率的影响

Vijaya Bharathi Gali, K. Anjaneyulu
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引用次数: 0

摘要

手工纺织业是印度最大的家庭手工业,代表并保存着充满活力和美丽的印度文化和传统。印度艺术家现在以他们的纺纱编织和手工印刷技术而闻名于世。手工业是该国仅次于农业的第二大就业来源。它雇佣了1250万人,是农业以外农村企业的最大供应商。在这个竞争激烈的世界里,手摇织机行业的成败很大程度上取决于质量。手织机产品的质量和数量完全取决于所采用的操作约束。本研究旨在确定诸如原材料供应、信贷便利、运作和福利限制等业务限制因素对Kadapa地区手织机质量和生产率的影响。这些数据是从Kadapa地区不同地点的总共120名纺织企业家那里收集的。样本响应的收集采用了分层随机抽样技术。采用多元多元回归和结构分析等合适的工具对数据进行分析和解释。研究结果显示,原料可得性、信贷便利、功能及福利约束等四项营运约束对手摇织机产品品质均有显著正向影响。这些操作限制也对手织机的生产率产生了积极而显著的影响。在文献的支持下,共制定了8个假设,所有假设都得到了支持。发现原料是手摇织机产品质量和生产率的重要预测因素,因为它比其他参数的影响程度最大。
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Impact of Operational Constraints on Quality and Productivity of Handloom Products
The handloom industry is India’s largest cottage industry representing and preserving the vibrant and beautiful Indian culture and traditions. Indian artists are now known worldwide for their spinning weaving and hand-printing techniques. The handicraft industry is the second-largest source of employment in the country after agriculture. It employs 12.5 million people and is the largest supplier to rural businesses outside of agriculture. The success or failure of the handloom industry largely depend on the quality in this competitive world. The quality and the quantity of the handloom products purely derive from operational constraints which were adopted. The present study aimed to identify the impact of operational constraints like raw material availability, credit facility, functioning, and welfare constraints on the quality and productivity of handlooms in the Kadapa district. The data were collected from a total of 120 weaver entrepreneurs operating in different locations of the Kadapa district. A stratified random sampling technique has been adopted for the sample responses collection. Suitable tools like multivariate multiple regression with structural analysis were carried out to analyze and interpret the data. The study results revealed that all the four operational constraints like raw material availability, credit facility, functioning, and welfare constraints were positively and significantly influencing the quality of the handloom products. These operational constraints also influence the productivity of handlooms positively and significantly. A total of eight hypotheses were formulated with the support of the literature and all are supported. The raw material was found as an important predictor of the quality and productivity of the handloom products as it captured the maximum level of influence than other parameters.
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