Journal Press India^®

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Purpose: This study covers the complex dynamics of supply chain management and its repercussions on business operations, consumer outcomes, and economic growth. It aims to describe the interplay between firm-specific attributes, supply chain performance, and macroeconomic indicators to inform proactive business strategies. Design/Methodology/Approach: Using quantitative methodologies, the research unfolds in two segments. The first segment assesses the impact of firm-specific attributes—namely supply chain cost, technology investments, and debt—on supply chain efficiency. The second segment explores the relationship between macroeconomic indicators and supply chain performance, focusing on inventory turnover and Gross Margin Return on Investment as performance measures. Findings: The study revealed that supply chain costs and debt levels significantly influence supply chain efficiency, with a notable positive correlation between debt and performance in financially sophisticated firms. Research Limitations: The research acknowledges limitations in its scope, particularly in the generalizability of findings across different industries and economic contexts. Managerial Application: The insights offer valuable guidance for managerial decision-making, emphasizing the importance of optimizing cost efficiency, strategic debt management, and judicious technology investments. Understanding the influence of macroeconomic conditions enables businesses to adapt their supply chain strategies more flexibly to prevailing economic climates. Originality/Value: This research bridges the gap between micro-level business practices and macro-level economic influences, providing a comprehensive perspective beneficial for both practitioners and policymakers. It contributes to the literature by quantitatively mapping the intricate relationships that define supply chain outcomes within the broader economic framework.

Keywords

Supply Chain Performance, Supply Chain Management, Firm-Specific Attributes, and Macroeconomic Indicators