Schmidt, Ivett, Morris, Wyn, Thomas, Andrew and Manning, Louise (2022) Smart Systems: The Role of Advanced Technologies in Improving Business Quality, Performance and Supply Chain Integration. Standards . ISSN 2305-6703
Documents |
|
|
PDF
Schmidt et al., accepted.pdf - Whole Document Available under License Creative Commons Attribution 4.0 International. 646kB |
Item Type: | Article |
---|---|
Item Status: | Live Archive |
Abstract
Technologies such as the Internet of Things (IoT), cloud computing and Smart Systems (SS) have become an important focus for industry, especially in the manufacturing and retail sectors. The aim of this paper is to analyse the importance of SS and their re-lated technologies towards improving business performance. Through an initial systematic review of sixty-one papers, the authors identify six key determinants that lead to the effective application of SS in business systems namely; application of effective managerial skills, supply chain integration, financial analysis, business performance, strategic/operational capabilities and, technologies. The work then goes on to develop an industry case study that informs thinking on the capabilities of smart technologies in collaborative working environments and then onto the development of a practice focused framework for future research. This study identifies that the implementation of SS within organisations not only improves business performance but their supply chains too through the effective integration of business activities and systems and, through the degree to which communication and decision-making is being facilitated between humans and devices. This leads to the improvement of quality, speed of information and, information sharing. The study also finds that there is a lack of systems standards that currently govern IoT/SS integration and data security within businesses.
Keywords: | smart, systems, quality improvement, supply chain, integration, collaborative systems, smart technologies |
---|---|
Subjects: | G Mathematical and Computer Sciences > G560 Data Management N Business and Administrative studies > N100 Business studies J Technologies > J990 Technologies not elsewhere classified |
Divisions: | College of Science > Lincoln Institute for Agri-Food Technology |
ID Code: | 49950 |
Deposited On: | 30 Jun 2022 15:22 |
Repository Staff Only: item control page