Effect of Fleet Availability and Controlling on Delivery Accuracy

Case Study at PT. Cardig Logistics Indonesia

Authors

  • Astri Rumondang Banjarnahor Institut Transportasi dan Logistik (ITL) Trisakti
  • Agus Tri Harjono Dwi Agung Sentosa Pratama, Indonesia
  • Agus Setiawan ndonesia Air Force Officer

DOI:

https://doi.org/10.33096/jmb.v8i1.236

Keywords:

Supply Chain Management, Control Management, Shipping Companies, Service Quality

Abstract

This study aimed to determine the effect of fleet availability and control on the smooth delivery of PT. Cardig Logistics Indonesia. The survey method is used as a way to collect primary data. The population is taken from employees who work in the operational section and get a sample of 30 people. The writer used a descriptive statistical analysis method, multiple linear regression, correlation coefficient, determination coefficient, or determination to test the research hypothesis to conduct this research. The results showed that the availability of the fleet (X1) and controlling (X2) on the smooth delivery (Y) of PT. Cardig Logistics Indonesia has a positive and significant effect. From the research result, the more dominant is the variable of fleet availability.

Downloads

Download data is not yet available.

References

Alemán Carreón, E. C., Nonaka, H., Hentona, A., & Yamashiro, H. (2019). Measuring the influence of mere exposure effect of TV commercial adverts on purchase behavior based on machine learning prediction models. Information Processing & Management, 56(4), 1339–1355. https://doi.org/https://doi.org/10.1016/j.ipm.2019.03.007

Bitiktas, F., & Tuna, O. (2020). Social media usage in container shipping companies: Analysis of Facebook messages. Research in Transportation Business and Management, 34(February), 100454. https://doi.org/10.1016/j.rtbm.2020.100454

Gil Saura, I., Ruiz Molina, M. E., & Servera Francés, D. (2008). Logistic service quality and technology: a comparison between supplier–retailer and retailer–consumer relationships. The International Review of Retail, Distribution and Consumer Research, 18(5), 495–510. https://doi.org/10.1080/09593960802573385

Hemalatha, S., Dumpala, L., & Balakrishna, B. (2018). Service quality evaluation and ranking of container terminal operators through hybrid multi-criteria decision making methods. The Asian Journal of Shipping and Logistics, 34(2), 137–144. https://doi.org/https://doi.org/10.1016/j.ajsl.2018.06.010

Hidayat, R. D. R., Handayani, L. D., Sugiharti, E., Firdaus, M. I., & Lesmini, L. (2017). The Import Shipment Dwelling Time Comparison Before And After Using Pusat Logistik Berikat (PLB) or The Bonded Logistics Center Facility. International Conference of Applied Science on Engineering, Business, Linguistics and Information Technology, 82–88.

Javed, M. K., & Wu, M. (2020). Effects of online retailer after delivery services on repurchase intention: An empirical analysis of customers’ past experience and future confidence with the retailer. Journal of Retailing and Consumer Services, 54, 101942. https://doi.org/https://doi.org/10.1016/j.jretconser.2019.101942

Kim, S. J., & Chung, E. K. (2019). The effect of organizational justice as perceived by occupational drivers on traffic accidents: Mediating effects of job satisfaction. Journal of Safety Research, 68, 27–32. https://doi.org/10.1016/j.jsr.2018.11.001

Klongthong, W., Thavorn, J., Watcharadamrongkun, S., & Ngamkroeckjoti, C. (2020). Determination of Factors in Cultural Dimensions and SERVQUAL Model Affecting the Corporate Image of Pharmacy Retail Stores. The Journal of Asian Finance, Economics and Business, 7(10), 875–884.

Le Calvé, A., & Savoy, J. (2000). Database merging strategy based on logistic regression. Information Processing & Management, 36(3), 341–359.

Mashur, R., Gunawan, B. I., Ashoer, M., Hidayat, M., Perdana, H., & Putra, K. (2019). Moving From Traditional to Society 5 . 0 : Case study by Online Transportation Business. Journal Distribution Science, 9, 93–102. https://doi.org/http://dx.doi.org/10.15722/jds.17.09.201909.93

Starostka-Patyk, M. M. (1987). Decision support at the logistic management strategy. Management Review, 12, 2.

Stepaniuk, K. (2017). Quality of Accommodation Services – The Memetic Approach. Procedia Engineering, 182, 673–678. https://doi.org/https://doi.org/10.1016/j.proeng.2017.03.178

Uriarte-Miranda, M.-L., Caballero-Morales, S.-O., Martinez-Flores, J.-L., Cano-Olivos, P., & Akulova, A.-A. (2018). Reverse logistic strategy for the management of tire waste in Mexico and Russia: Review and conceptual model. Sustainability, 10(10), 3398.

Yeo, G. T., Thai, V. V, & Roh, S. Y. (2015). An analysis of port service quality and customer satisfaction: The case of Korean container ports. The Asian Journal of Shipping and Logistics, 31(4), 437–447.

Downloads

Published

2021-03-30

How to Cite

Banjarnahor, A. R., Harjono, A. T., & Setiawan, A. . (2021). Effect of Fleet Availability and Controlling on Delivery Accuracy: Case Study at PT. Cardig Logistics Indonesia. Jurnal Manajemen Bisnis, 8(1), 112–122. https://doi.org/10.33096/jmb.v8i1.236

Issue

Section

Articles