The present research study focuses on value chain collaboration and its effects on the circular economy among agriculture firms in the Republic of Malawi. The study lays emphasis on individualism, supplier relationships, trust, and supply chain integration dimensions of value chain collaboration. The study articulates the synergistic effects across the value chain from a mixed-methods design perspective. The study uses explanatory mixed methods design with Partial Least Squares (PLS) and Structural equation modeling approach, quantitative data of (n=140) with Thematic analysis of structured interviews to explain significance of value chain collaboration on Circular economy. SPSS 25 was used to perform the statistical analysis of the respondents' data. The quantitative and qualitative data findings provide valuable insights into the nuances of understanding value chain collaboration effects on achieving a circular economy. The study's findings provide invaluable insights and impetus to practitioners, policymakers, and consultants in the area of agriculture.
The unprecedented COVID-19 pandemic has severely affected the Automobile sector in the Delhi NCR region with Supply chain disruptive innovations and periodic travel restrictions imposed by the government. The present study investigates the influence of the digital value chain on organisational productivity. The study analyses the data collected from Logistics and Supply chain managers working in allied areas of value chain operations in the automobile sector. The target respondents selected for the study are 200, and purposeful sampling is used to identify the target respondents with expertise in the areas of supply chain and marketing. Partial least squares regression is used to analyse the collected data and establish relationships among the variables and explanatory variables. The study contributes to the understanding of value chain strategies and their significance in enhancing organisational productivity in the automobile sector.
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