Customers perception on logistics service quality using Kansei engineering: empirical evidence from indonesian logistics providers

The effect of logistic service quality on customer satisfaction and loyalty using kansei engineering during the COVID-19 pandemic

“…The weight on composite reliability and Cronbach's alpha must be > 0.7 (Hamutoğlu et al, 2020). However, research conducted by Masudin (2013) and Restuputri et al (2020) conducted an indicator analysis of a variable, where the value is said to be valid if the outer loading value is > 0.6. Thus, in this case, indicators with an outer loading of <0.4 will be automatically removed, while indicators with an outer loading value of > 0.6 will be reconsidered on the condition that they have composite reliability and a Cronbach alpha value of > 0.7 and the AVE value must be > 0.5.…”

“…This research was performed using the Kansei Engineering method. A study conducted by Restuputri et al (2020) discusses customer perceptions of the logistics service quality using the Kansei Kata approach. The result is that providers' logistics service quality in Indonesia significantly affects customer satisfaction and loyalty.…”

The Effect of Traceability System and Managerial Initiative on Indonesian Food Cold Chain Performance: A Covid-19 Pandemic Perspective

“…The sample data's tendency is seen from the mean value of each indicator and variable. The QS 2 indicator (4.445) has the highest mean value, which is very important because the mean value was higher than 4.21 (Restuputri et al, 2020 ). This indicates that respondents consider that continuous monitoring of cold-chain products is critical in the traceability system.…”

The effect of lean and agile supply chain strategy on financial performance with mediating of strategic supplier integration & strategic customer integration: Evidence from bottled drinking-water industry in Indonesia

“…Thus, the producer's supply chain must adjust the expenditure of finished products to the customers so that there is no accumulation of finished products, which causes the producer's warehouse to become full quickly with considering sustainable shipping scheduling (Sayyadi & Awasthi, 2018). Therefore, with strong integration with the main customers, manufacturers can entrust the finished products or products to their main customers' warehouses (Restuputri et al, 2020). This implementation of lean SCS can predict the demand for finished products from major customers because there is an exchange of inventory information (Huo et al, 2016).…”