The launch of high-quality development has become an inevitable choice at this stage to cope with the new international situation, transform and improve the industrial structure, and pursue the Chinese dream. The aim of this study was to scientifically measure the stage of high-quality economic development and analyze the role of human capital in such development. In this paper, we construct an indicator system based on innovation, sharing, green economy, opening, and coordination. The spatial distribution of high-quality economic development is evaluated by using the genetic algorithm–projection pursuit model, and its impact is studied by using the spatial panel quantile regression method. The results show that the development level of regional economic quality is increasing annually, revealing a situation in which the east is leading, the center is rising, and the west is catching up. Among the factors affecting high-quality economic development, in this region, it has a positive inverted U-shaped influence on neighboring regions. Regarding quality improvement, the impact of human capital presents a U-shaped curve. In other words, it benefits from the catch-up effect of the lower-level provinces and the first mover advantage of the higher-level provinces. Based on this, corresponding countermeasures are put forward.

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.