BUSINESS ANALYTICS OF SUPPLY CHAIN PERFORMANCE AND OVERALL FIRM PERFORMANCE: CASE OF AUTOMOBILE INDUSTRY OF PAKISTAN

Abstract

Purpose Supply chain management plays the crucial role in development and smooth performance of any industry. The purpose ofthis research is to analyze different dimensions of analytics and their role in making supply chain performance better for the firms in the automobile industry of Pakistan. Methodology & Design Research has been conducted by gathering information and views of 200 employees working in automobile sector of Pakistan, through primary data collection method, online survey forms will be used to reach appropriate audience. Moreover, the data analysis method will be quantitative in nature. Hence, it will analyze the responses attained by the survey will be analyzed through numerical means, like through factual interpretation and critical analysis of the figures which include regression and correlation analysis. Findings After all the research and analysis of data findings it can be concluded that the study indicated that effective supply chain management has a significant impact on the overall performance of the organization and by improving supply chain management will result in improvement of organizational performance. Limitations Every research has some limitations associated with it. Similarly in this research paper the automobile industry of Pakistan is huge in size, which is why just 200 employees from it are not sufficient to represent the whole sector and additionally time horizon was another factor for limited span ofresearch. Recommendations After conducting this research it can be said that there are several factors which influence the performance of automobile industry of Pakistan. On basis of this research it can be recommended that organizations in Pakistan need to incorporate advanced tools and techniques for data analytics to gain a competitive advantage. Moreover, different techniques such as forecast bias or MAPE should be utilized for measuring forecast accuracy. Furthermore, Demand management tools, big data analysis or procurement data analytics dashboard must be used to improve overall supply chain functions including procurement for efficient and effective decision making.