Influential Article Review - The Function of Data Tech in Increasing the Accuracy of Dock Logistics

Authors

  • Wesley Andrews
  • Andy Robinson
  • Nellie Wilson

Keywords:

Port logistics performance, Information systems usage, Organisational capability

Abstract

This paper examines innovation. We present insights from a highly influential paper. Here are the highlights from this paper: This study investigated the role of information systems usage in enhancing port logistics performance using the port of Dar es Salaam, Tanzania, as an example. Specifically, the study examined the role of information systems usage in contributing to reducing shipping and trucking costs, improving on-time delivery of goods and services, increasing trade volume, and enhancing organisational logistics capability. The study employed a quantitative approach, with questionnaires deployed to gather data about information systems usage and the attendant effects. The reliability was measured using Cronbach’s alpha. A canonical correlation analysis was performed to estimate the relationship of information systems usage to the port logistics performance. The study established that relationships exist between information systems usage and the perceived decrease in shipping and trucking costs, timely delivery of goods and services, perceived increase in trade volume, and enhanced organisational logistics capability. Based on these findings, the study recommends that ports consider building the capacity of their employees to utilise and manage information systems much more effectively and efficiently to increase the port’s performance. For our overseas readers, we then present the insights from this paper in Spanish, French, Portuguese, and German.

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Published

2019-12-10

How to Cite

Andrews, W., Robinson, A., & Wilson, N. (2019). Influential Article Review - The Function of Data Tech in Increasing the Accuracy of Dock Logistics. Journal of Strategic Innovation and Sustainability, 14(7). Retrieved from https://articlegateway.com/index.php/JSIS/article/view/3333

Issue

Section

Articles