This study investigates the relationship between supply chain process optimization and financial performance, drawing on empirical evidence from a survey of 100 Albanian companies. The analysis evaluates the adoption and perceived effectiveness of key practices, including inventory management systems, supplier collaboration, demand forecasting and real-time tracking, in enhancing profitability and operational efficiency. Grounded in established theoretical frameworks (Chopra & Meindl, 2016; Hugos, 2018; Simchi-Levi et al., 2021), the study identifies strategic approaches that foster resilient, flexible and adaptive supply chains in volatile market environments. Descriptive statistical methods are applied to compare adoption rates and financial impacts across company sizes and sectors, revealing that large enterprises exhibit superior demand forecasting capabilities, while manufacturing companies lead in real-time tracking and inventory management adoption. The findings contribute to the literature by offering context-specific insights for aligning supply chain optimization initiatives with organizational characteristics, thereby supporting sustainable cost reduction, efficiency gains and profitability improvements.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

The Impact of Supply Chain Optimization on Corporate Financial Performance

  • Dea Sinoimeri,
  • Jonida Teta

摘要

This study investigates the relationship between supply chain process optimization and financial performance, drawing on empirical evidence from a survey of 100 Albanian companies. The analysis evaluates the adoption and perceived effectiveness of key practices, including inventory management systems, supplier collaboration, demand forecasting and real-time tracking, in enhancing profitability and operational efficiency. Grounded in established theoretical frameworks (Chopra & Meindl, 2016; Hugos, 2018; Simchi-Levi et al., 2021), the study identifies strategic approaches that foster resilient, flexible and adaptive supply chains in volatile market environments. Descriptive statistical methods are applied to compare adoption rates and financial impacts across company sizes and sectors, revealing that large enterprises exhibit superior demand forecasting capabilities, while manufacturing companies lead in real-time tracking and inventory management adoption. The findings contribute to the literature by offering context-specific insights for aligning supply chain optimization initiatives with organizational characteristics, thereby supporting sustainable cost reduction, efficiency gains and profitability improvements.