This research study tried to examine the Indonesian customer’s online buying experience by considering the service quality of Indonesia's online garments and clothing industry along-with the mediating effect of customer’s emotional psychology as well as the moderating role demographic features of customer like age and marital status. The population includes all garments and clothing brands giving online purchase service to their customer. We randomly shared an online self-administrative questionnaire to 600 Indonesian customers who had purchased garments and clothing through different online platforms over the last 3 months and then only got 523 valid responses. We applied Structural Equation Modeling (SEM) method and estimated using SPSS and Smart-PLS. Our results revealed that the customer online buying is strongly augmented by web-based as well as customer-based characteristics of service quality of online garments and clothing stores. The demographic factors like age and marital status did not significant at all but influenced the customer’s online buying decision. All demographic effect reports weak support for enhancing online buying by customers. The mediation effect of emotional psychology in the form of positive and negative psychology enhancing the online buying decision of customers in Indonesia. The management and policymakers of garments and clothing stores offering online services are advised to consider the web-based and customer-based factors coupled with customer’s emotional psychology to improve the buying experience of online customers. The demographic factors like gender, age, and income level of customers did not matter for policymaking.
The rate of train accidents in Indonesia is still high, mainly caused by humans related to fatigue while on duty. One of the factors that influence the level of fatigue is the duration of the previous sleep time which causes the level of alertness at work to decrease. This study aims to determine how significantly a person alertness performance decreases due to sleep deprivation using Sustained Attention Test. The study was conducted with laboratory experiments using a train simulator involving twelve participants aged 21.2 ± 0.92 years. The independent variable is the duration of sleeping time before driving with a duration of eight hours for normal conditions and a duration of two hours for sleep deprivation. The dependent variable is the parameter on the Sustained Attention Test which is tested before and after driving using the Kruskal-Wallis test. The results showed that there was a increase in the value of the Sustained Attention Test, especially the error and miss parameters which were significant due to sleep deprivation with an average significance of p-value less than 0.05 and increasingly significant with an average of p-value less than 0.01 after driving activity. This shows that sleep deprivation greatly affects the drivers performance while on duty.
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