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Ricardo S. Jimenez; Kim Brian V.David; Ma. Viktoria Monique M. Hawod; Franchezka Nicole L. Calicdan; Pauline Kate M. Coronel

International Journal of Economics and Management Sciences 2024 Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Emerging technologies are transforming warehouse operations, and this study investigated the effectiveness of implementing the Internet of Things (IoT), Radio-Frequency Identification (RFID), Artificial Intelligence (AI), and Robotics into warehouse operations. A descriptive correlational research design was employed, utilizing surveys to gather data from warehouse personnel and focusing on key performance indicators such as inventory accuracy, order fulfillment efficiency, cost reduction, and timely delivery satisfaction. The findings revealed a high level of familiarity with RFID and IoT among warehouse personnel, and a strong belief in the positive impact of these technologies on warehouse operations. However, challenges such as implementation costs, technical issues, and regulatory compliance were identified. Surprisingly, the analysis did not reveal a significant relationship between the implementation of these technologies and their overall effectiveness on warehouse operations. Future research should consider qualitative methodologies and larger sample sizes to explore other factors influencing warehouse performance.

Afifatul Gholimah; Darsono Darsono

JURNAL EKONOMI MANAJEMEN AKUNTANSI 2021 sekolah Tinggi Ilmu Ekonomi Dharma Putra Semarang

Today's business competition requires companies to be able to compete with other companies. PT. Biru Pratama Logistindo Line is a company engaged in import-export services. This study aims to determine the relationship between service quality, facilities and timeliness of delivery of the satisfaction of service users of PT. Biru Pratama Logistindo Line. The data analysis technique used is multiple linear regression analysis and the sampling technique uses proportional random sampling with 42 respondents as consumers of PT. Biru Pratama Logistindo Line taken from a total population of 62 consumers. The analytical tool used in this research is SPSS (Statitical Package for Social Science) Version 22.0.