Title: Omnichannel transportation, warehousing and manufacturing quality characteristics in a post-COVID environment: case and empirical study

Authors: Alan D. Smith; Gabriel Moreno

Addresses: Department of Marketing, Robert Morris University, Moon Township (Pittsburgh), PA 15108, USA ' Department of Marketing, Robert Morris University, Moon Township (Pittsburgh), PA 15108, USA

Abstract: The transportation and warehousing industry include industries providing logistical services of passengers and cargo, warehouses for storage, and support activities related to transportation - companies within this industry-use transportation equipment and related facilities as a productive asset. A case study of two Pittsburgh, PA transportation companies and an empirical study of 1,008 respondents from the same service yielded information about the growth of AI, automation and cloud business intelligence to provide quality-added activities, especially for working professionals. In general, although low-cost tactics counter the value-added through high quality, both sexes felt that there is a need for high-quality manufactured goods, but the low cost can be a mitigating factor. Keeping operational and transportation costs low and transferring these savings in lower prices and shipping costs to the consumer are strategic advantages for these companies.

Keywords: artificial intelligence; AI; business cloud intelligence; case study; empirical study; manufacturing quality; omnichannel; supply chain management; SCM; supply chain management solutions software.

DOI: 10.1504/IJLSM.2025.146060

International Journal of Logistics Systems and Management, 2025 Vol.51 No.1, pp.79 - 103

Received: 04 Oct 2022
Accepted: 16 Oct 2022
Published online: 06 May 2025 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article