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Scientific Article details

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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