• Learning orientation and innovation performance: the mediating role of operations strategy and supply chain integration

      Kumar, Vikas; Jabarzadeh, Younis; Jeihouni, Paria; Garza-Reyes, Jose Arturo; University of the West of England; University of Tabriz, Tabriz, Iran; University of Derby (Emerald, 2020-03-19)
      The purpose of this study is to explore the effect of operations strategy (cost, quality, flexibility, and delivery) and supply chain integration on innovation performance under influence of learning orientation. Taking a quantitative and deductive approach, a conceptual framework was developed and tested by analyzing data gathered through survey questionnaire from 243 UK manufacturing firms using structural equation modeling. Our findings show that learning orientation influences operations strategy and supply chain integration, but it does not have a direct impact on innovation performance. Additionally, quality and flexibility strategies affect innovation performance and supply chain integration positively, while cost and delivery strategies don’t have a significant effect on these variables. Operations strategy types (cost, quality, flexibility delivery) were studied as distinct variables whereas supply chain integration also has several dimensions but that has not been investigated separately in the present research. The findings are also based on limited 243 responses from UK manufacturing firms. Innovation performance of manufacturing firms can be improved through a more integrated supply chain if managers embody flexibility and quality capabilities in their operations and become learning oriented. The effect of supply chain integration on innovation performance and learning orientation on supply chain integration and operations strategy types have not been fully explored in literature. Also, having all four operations strategy types in a direct relation to supply chain integration and innovation performance is another original aspect of the current study.
    • A multi-objective linear optimization model for designing sustainable closed-loop agricultural supply chain

      Reyhani Yamchi, Hossein; Jabarzadeh, Younis; Ghaffarinasab, Nader; Kumar, Vikas; Garza-Reyes, J.A.; University of Tabriz, Tabriz, Iran; University of the West of England; University of Derby (IEOM Society, 2020-03)
      Demand for agricultural products will grow by nearly 70 percent in 2050 and high volume of chemical pesticides and agricultural fertilizers along with considerable waste in this sector induces serious environmental concerns. Hence it is not a priority but a necessity to modify unsustainable procedures to make them sustainable. The aim of this study is developing and analyzing a multi-objective (MO) linear mathematical model for sustainable close-loop agricultural supply chain (CLASC) with a deteriorating product to determine (1) the optimal flow to every echelon and (2) the optimal location of some facilities to achieve three objectives: reducing costs and carbon dioxide (CO2) emissions throughout the proposed supply chain (SC) network, and increasing the responsiveness. Finally, a numerical example is used to evaluate the optimization model.