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- W4253254156 abstract "In this competitive era, the smooth flow of information with clarity and consistency has gained a lot of importance to improve decision making for managing logistics and distribution. This research investigates the factors important to augment supply chain transparency. Partial least squares structural equation modelling (PLS-SEM) is applied for an empirical validation of the proposed research model and to identify the factors contributing supply chain transparency (SCT) and outcomes of SCT on four performance indicators (i.e., operations, supplier, relational and technical performance). The questionnaire survey was utilised with 218 valid responses from supply chain professionals associated with automotive companies in Pakistan. The result reveals that SCT has a significant positive effect on various dimensions of supply chain performance. SCT influences high on operational performance and relational performance. The study will be beneficial for supply chain specialists in formulating strategies to improve distribution performance through improving transparency in their multitier supply chains." @default.
- W4253254156 created "2022-05-12" @default.
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- W4253254156 date "2019-01-01" @default.
- W4253254156 modified "2023-10-02" @default.
- W4253254156 title "Drivers of supply chain transparency and its effects on performance measures in the automotive industry: case of a developing country" @default.
- W4253254156 doi "https://doi.org/10.1504/ijsom.2019.100291" @default.
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