There are a variety of ways to transfer the tacit knowledge within an enterprise, and job rotation is one of the effective tools. This article reveals the three-stage process enterprises transferring the tacit knowledge by implementing job rotation, and analyses the efficiency of tacit knowledge transferring among individuals in different job rotation situations, as well as the mechanism of knowledge transforming from individual knowledge to job knowledge. At last, a mechanism to manage tacit knowledge transferring by implementing job rotation is constructed, including specific targeting sub-mechanism, dynamic sub-mechanism and feedback sub-mechanism. This article will help companies control the job rotation process, optimize the management of tacit knowledge, and achieve the organization's strategy objectives.

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With the continuous evolution of mobile communication systems, 5G technology has become a key driver for a smart home appliance ecosystem. Fifth-generation technology may create opportunities and threats for the home appliance industry in the stock market, and so companies that do not actively engage in product innovation activities will eventually be eliminated from the market because their products are not on trend. This study investigates Chinese household appliance industry firms to identify their innovation strategies, applied to cope with global competition and gain a competitive advantage, and explores the correlation and operation mode between innovation strategies and design strategies. For this study, we administered a questionnaire to analyze three innovation clusters for Chinese household appliance firms. Interviews were conducted to further understand the design strategies and priorities of Chinese home appliance companies in response to 5G technology, to explore the relationship between innovation strategies and product design strategies, and to provide a reference for the product design strategies of home appliance companies in response to global competition.

This paper presents a study of the properties of soil–rock mixtures (SRM) prepared by the vibration compaction method. First, the results of laboratory experiments and field tests are compared to determine the reasonable parameters of the vibration compaction method (VCM) for soil–rock mixtures. The compaction characteristics, CBR, and resilient modulus of the laboratory-prepared soil–rock mixtures by the static pressure compaction method (SPCM) and vibration compaction method are compared. The effects of the soil to rock ratio and the maximum particle size and gradation on the compaction characteristic, resilient modulus and CBR of soil–rock mixtures prepared by the vibration compaction method are investigated. Finally, field measurements are subsequently conducted to validate the laboratory investigations. The results show that the reasonable vibration frequency, exciting force, and static surface pressure of the vibration compactor for soil–rock mixtures are recommended as 25 Hz, 5.3 kN, and 154.0~163.2 kPa, respectively. Soil–rock mixtures prepared by vibration compaction method has smaller optimum water content and gradation variation and larger density than specimens prepared by the static pressure compaction method, and the CBR and resilient modulus are 1.46 ± 0.02 and 1.16 ± 0.03 times those of specimens prepared by the static pressure compaction method, respectively. The ratio of soil to rock, followed by the maximum particle size, lead obvious influences on the properties of soil–rock mixtures. Moreover, the results show that the CBR and resilient modulus of soil–rock mixtures prepared by vibration compaction method have a correlation of 86.9% and 89.1% with the field tests, respectively, which is higher than the static pressure compaction method.

Due to the seriousness of COVID-19, masks are considered to be as a key and effective device to cut off the spread of viruses and are widely used by people, such as doctors and patients. Hundreds of millions of masks used worldwide in daily life will inevitably cause huge pollution and damage to the environment. However, existing research has not yet provided a method to simultaneously evaluate the economic, environmental, and social aspects of sustainable design of masks, which brings great barriers and challenges for designers to make sustainability decisions on masks and consumers’ behavioral decisions on mask purchases. Consequently, on the basis of principles of sustainability evaluation of masks, this work evaluates ten masks of different materials (including two newly designed masks) by using a novel hybrid of rank-sum ratio and entropy weight method. The results indicate that some disposable masks also show better sustainability than reusable masks, and in addition, the integrated rank-sum ratio and entropy weight method can effectively realize the sustainability evaluation of masks. The main contribution is to furnish an effective decision-making reference for sustainability evaluation of masks while greatly reducing the negative impacts of masks on the environment during the epidemic.

This paper constructed a new model by integrating the product design factors into the Technology Acceptance Model (TAM), which aimed to investigate the relationship between the design elements of the household blood glucose meter and the use intention of the elderly users. 184 valid samples were collected and the software of SPSS 23.0 and SPSSAU online were used to test the model and hypotheses. The results are shown as below: (1) Older people's perceived usefulness (PU) and perceived ease of use (PEOU) toward household blood glucose meter has a significantly positive effect on their use intention (UT); Older people's perceived ease of use (PEOU) toward household blood glucose meter has a significantly positive effect on their perceived usefulness(PU); (2) The functional design(FD) factors of household blood glucose meter has a significant positive effect both on older people's perceived usefulness(PU) and on their perceived ease of use (PEOU), and it also has a positive effect on older people’s use intention (UT) directly; The appearance design (AD) factors of household blood glucose meter has a significant positive effect both on older people's perceived ease of use (PEOU) and on their perceived usefulness (PU); And the interaction design (ID) factors of household blood glucose meter has a weakly negative effect on older people's perceived ease of use (PEOU) and has a weakly positive effect on their perceived usefulness (PU); (3) The past-experience (UX) of older people has no moderating effect between use perception and use intention (UT) of household blood glucose meter. Finally, some reasonable suggestions are given from product design based on the quantitative analysis to make the design of the home blood glucose meter more consistent with the cognition of the elderly users, so as to improve the interest of blood sugar self monitoring in elderly diabetes group, shape their healthy living and lifestyle.

Traditional rehabilitation therapy for children with autism (ASD) relies on manpower, is expensive, and lacks teaching aids. Based on augmented reality technology (AR), this research designs a game training software for children with ASD in terms of social cognition and motor perception, and combines the data monitoring module to record the children's usage in real time. The AHP-fuzzy comprehensive evaluation method is used to evaluate the software to verify the effectiveness of the software.

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