Forecasting Product Returns, Supply Chain Agility and Reverse Logistics Performance in the Textile Firms: Structural Equation Modelling

Authors

  • Hafiz Zeeshan Haider KUBS

Keywords:

Accuracy in Forecasting, Supply Chain Agility, Factors Influencing Forecasting, Environmental Performance, Social Performance.

Abstract

The current research objective was to examine the impact of factors influencing forecasting, accuracy in forecasting, and supply chain agility (SCA) on the economic performance, environmental performance, and social performance of Karachi's manufacturing firms Pakistan. The quantitative approach using purposive sampling was used for data collection. The final sample for analysis was 144, and PLS-SEM using SmartPLS 3.2.8 was used in the study. The results have shown that accuracy in forecasting has a positive and significant effect on SCA. The factors influencing forecasting have a positive and significant impact on accuracy in forecasting. The SCA has a positive and significant impact on economic performance. The SCA has a positive and significant effect on environmental performance. The SCA has a positive and significant impact on social performance. The findings show that forecasting accuracy is influenced by a range of variables, depending on the market and demographics, creating a somewhat different scenario. Accuracy in forecasting is important for RL performance and plays an important role in RL planning.

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Published

2021-08-24

How to Cite

Haider, H. Z. (2021). Forecasting Product Returns, Supply Chain Agility and Reverse Logistics Performance in the Textile Firms: Structural Equation Modelling. Research Journal of Supply Chain & Business Management, 1(2). Retrieved from https://brjournals.comsresearch.com/index.php/rjscbm/article/view/30

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