Measurement of constructs including validity and reliability
| Construct and items | Factor loading |
|---|---|
| Supply chain resilience (Cronbach’s α = 0.759, CR = 0.823, AVE = 0.546) | |
| Our firm’s supply chain | |
| … is well prepared for unexpected events | 0.749 |
| … is able to adequately respond to unexpected disruptions by quickly restoring operations | 0.705 |
| … has the desired level of connectedness among its members during disruption | 0.733 |
| … has the ability to maintain control over structure and function during a disruption | 0.768 |
| Logistics process responsiveness (Cronbach’s α = 0.732, CR = 0.736, AVE = 0.652) | |
| … adjust warehouse capacity to address demand changes | 0.859 |
| … vary transportation carriers to address demand changes | 0.804 |
| … accommodate special or non-routine customer requests | 0.757 |
| Operations system responsiveness (Cronbach’s α = 0.906, CR = 0.903, AVE = 0.727) | |
| … changes in product volume demanded by customers | 0.808 |
| … changes in product mix demanded by customers | 0.847 |
| … expedite emergency customer orders | 0.880 |
| … reconfigures equipment to address demand changes | 0.866 |
| … processes to address demand changes | 0.860 |
| Supplier network responsiveness (Cronbach’s α = 0.921, CR = 0.926, AVE = 0.808) | |
| … major suppliers consistently accommodate our requests | 0.905 |
| … major suppliers promptly vary capacity to address our changing needs | 0.904 |
| … major suppliers have outstanding on-time delivery record with us | 0.892 |
| … major suppliers effectively expedite our emergency orders | 0.893 |
| Information sharing (Cronbach’s α = 0.870, CR = 0.877, AVE = 0.658) | |
| … inventory data are visible to all partners in the supply chain | 0.760 |
| … production and delivery data are shared across the supply chain | 0.826 |
| … actual sale data are visible to all partners in the supply chain | 0.868 |
| … demanding forecasts are shared across the supply chain | 0.808 |
| … performance metrics are shared across the supply chain | 0.791 |
| Construct and items | Factor loading |
|---|---|
| Our firm’s supply chain | |
| … is well prepared for unexpected events | 0.749 |
| … is able to adequately respond to unexpected disruptions by quickly restoring operations | 0.705 |
| … has the desired level of connectedness among its members during disruption | 0.733 |
| … has the ability to maintain control over structure and function during a disruption | 0.768 |
| … adjust warehouse capacity to address demand changes | 0.859 |
| … vary transportation carriers to address demand changes | 0.804 |
| … accommodate special or non-routine customer requests | 0.757 |
| … changes in product volume demanded by customers | 0.808 |
| … changes in product mix demanded by customers | 0.847 |
| … expedite emergency customer orders | 0.880 |
| … reconfigures equipment to address demand changes | 0.866 |
| … processes to address demand changes | 0.860 |
| … major suppliers consistently accommodate our requests | 0.905 |
| … major suppliers promptly vary capacity to address our changing needs | 0.904 |
| … major suppliers have outstanding on-time delivery record with us | 0.892 |
| … major suppliers effectively expedite our emergency orders | 0.893 |
| … inventory data are visible to all partners in the supply chain | 0.760 |
| … production and delivery data are shared across the supply chain | 0.826 |
| … actual sale data are visible to all partners in the supply chain | 0.868 |
| … demanding forecasts are shared across the supply chain | 0.808 |
| … performance metrics are shared across the supply chain | 0.791 |
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