Title |
A Construction and Empirical Study of Quality Management Evaluation Index System in the Internet of Things Industry |
ID_Doc |
68285 |
Authors |
Shang, M; Lee, CL; Cao, JW; Liu, Y |
Title |
A Construction and Empirical Study of Quality Management Evaluation Index System in the Internet of Things Industry |
Year |
2022 |
Published |
Systems, 10, 6 |
DOI |
10.3390/systems10060231 |
Abstract |
A revised version of the ISO9001:2015 quality management system is an indispensable element for a corporation to survive against the severe competition and maintain sustainable, competitive superiority, as well as a new outlook. With this in mind, the first purpose of this research was to seek customer satisfaction through the continuous improvement of the organization in the IoT industry. Furthermore, it aimed to lay a foundation for a preemptive response and formulate a management strategy regarding the continuity of the business. Simultaneously, we explored whether the scale items of the lower-ranking level resulting from the latent variables in the main provision of the revised edition are the variables that can sufficiently explain the latent variables. Furthermore, the statistical programs of the SPSS22.0 and the AMOS18.0 were utilized for analysis. The results demonstrated that corporations can achieve customer satisfaction through continuous improvements concerning the successful introduction and conversion of the new quality management system. It was confirmed that the core variables of the revised edition sufficiently explained the latent variables. Consequently, it is imperative to understand the latent risks from the internal and external environments surrounding the organization and formulate the short-term and long-term strategies of the organization on the part of a corporation. |
Author Keywords |
IoT (Internet of Things); QMS (quality management system); contexts of the organization; continuous improvement; customer satisfaction |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Social Science Citation Index (SSCI) |
EID |
WOS:000902789000001 |
WoS Category |
Social Sciences, Interdisciplinary |
Research Area |
Social Sciences - Other Topics |
PDF |
https://www.mdpi.com/2079-8954/10/6/231/pdf?version=1669369230
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