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In recent years, the application of artificial intelligence and digital technology has increasingly become a priority for online retailers. It is crucial to choose a way to make use of human–computer interaction (HCI) design to exert the positive influence of intelligent technology on consumer welfare. Despite the increasing use of HCI design in online retail context, there remain limitations in their effect of consumer well-being improvement. Although there is extensive literature in the field of consumer well-being improvement, few studies have empirically examined how HCI design drives the improvement of consumer well-being in the online retail context. Therefor, this study aims to deeply and systematically analyze the psychological mechanism between HCI and consumer well-being in the online retail environment.

The empirical analysis is based on data collection of 476 samples of online shoppers through the online survey method. From the perspective of autonomy, this study deeply analyzes the influence mechanism of different dimensions of HCI perception on consumer well-being.

The results indicated that autonomy plays a positive intermediary role in the impact of perceived connectivity, perceived personalization, perceived control and perceived responsiveness on the eudaimonia and hedonic enjoyment. Also, it revealed that psychological resistance negatively regulates the impact of perceived connectivity, perceived personalization and perceived control on autonomy, while experience purchase positively regulates the impact of autonomy on hedonic enjoyment.

This paper expands the research situation of consumer well-being by making integration of the dual structure of subjective well-being and psychological well-being to define the psychological mechanism and boundary conditions of the impact of HCI perception on consumer well-being. The main contribution of this study is to provide enlightenment for online retail enterprises to improve HCI design and help consumers enhance long-term well-being.

This paper aims to promote the higher quality development of high-tech enterprises in China. While science and technology have greatly promoted human civilization, resources have been excessively consumed and the environment has been sharply polluted. Therefore, it is particularly important for current enterprises to make use of scientific and technological innovation to maximize the benefits of mankind, minimize the loss of nature, and promote the sustainable development of our country.

By using DEA-Banker-Charnes-Cooper (BCC) model and DEA-Malmquist model, this paper comprehensively examines the innovation efficiency of high-tech enterprises from both static and dynamic perspectives, and conducts a provincial comparative study with the panel data of ten representative provinces from 2011 to 2020.

The research findings are as follows: the rapid number increase of high-tech enterprises in most provinces (cities) is accompanied by an ineffective input–output efficiency; the quality of high-tech enterprises needs to comprehensively examine both input–output efficiency and total factor productivity; and there is not a positive correlation between element investment and innovation performance.

Because the DEA model used in this paper assumes that the improvement direction of invalid units is to ensure that the input ratio of various production factors remains unchanged but sometimes the proportion of scientific and technological activities personnel and the total research and development investment is not constant. In the future, the nonradial DEA model can be considered for further research. Due to historical data statistics, more provinces, cities and longer panel data are difficult to obtain. The samples studied in this paper mainly refer to the provinces and cities that ranked first in the number of national high-tech enterprises in 2020. Limited by the number of samples, DEA analysis failed to select more input and output indicators. In the future, with the accumulation of statistical data, the existing efficiency analysis will be further optimized.

Aiming at the misunderstanding of emphasizing quantity and neglecting quality in the cultivation of high-tech enterprises, this paper comprehensively uses DEA-BCC model and DEA Malmquist index decomposition method to make a comprehensive comparative study on the development of high-tech enterprises in ten representative provinces (cities) from two aspects of static efficiency evaluation and dynamic efficiency evaluation.

The purpose of this study is to provide an in-depth understanding about the indoor-orbital electrical inspection robot, which is useful for motivating the further investigation on the inspection of electrical equipment. Currently, electric energy has a strong correlation with the economic development of the country. Intelligent substations play an important role in the transmission and distribution of the electricity; the maintenance of the substation has attracted intensive attention due to the requirement of reliability and safety. The indoor-orbital electrical inspection robot has increasingly become the main tool to realize the unmanned. Hence, a systematic review is conducted systematically reviewing the current technical status of the indoor-orbital electrical inspection robot and discuss the existed problems.

In this paper, the most essential achievements in the field of indoor-orbital electrical inspection robots were reported to present the current status, and the mechanical structures and key inspective technologies were also discussed.

Four recommendations are provided from the analyzed review, which have made constructive comments on the overall structural design, functionality, intelligence and future development direction of the indoor-orbital electrical inspection robot, respectively.

To the best of the authors’ knowledge, this is the first systematic review study on indoor-orbital electrical inspection robots; it fills the theoretical gap and proffers design ideas and directions for the development of the indoor-orbital electrical inspection robot.