DNA-based methods are reliable for a precise identification of species in processed products. In this study, we assessed five typical DNA extraction methods from multiple aspects. Full-length and mini-length DNA barcoding were performed to detect the species substitution and mislabeling of 305 processed fish products from the Chinese market covering six processed fish products. The salt extraction method that exhibited the best overall performance was applied. All samples were successfully extracted; however, only 19.3 % of samples could be amplified using the full-DNA barcode primer set, and 90.2 % of samples could be amplified using the newly designed mini-DNA barcode primer sets (401 and 320 bp). Overall, the molecular identification results revealed that 36.4 % (111/305) of the samples were inconsistent with the labels, with commercial fraud observed in all six types of processed fish products. The survey findings provide technical references for effective fish authentication monitoring, offering insights into the seafood safety in markets.

The Chinese stock market exhibits many characteristics that deviate from the efficient market hypothesis and the trading volume contains a great deal of complexity information that the price cannot reflect. Do small or big orders drive trading volume? We studied the complex behavior of different orders from a microstructure perspective. We used ETF data of the CSI300, SSE50, and CSI500 indices and divided transactions into big and small orders. A multifractal detrended fluctuation analysis (MFDFA) method was used to study persistence. It was found that the persistence of small orders was stronger than that of big orders, which was caused by correlation with time. A multiscale composite complexity synchronization (MCCS) method was used to study the synchronization of orders and total volume. It was found that small orders drove selling-out transactions in the CSI300 market and that big orders drove selling-out transactions in the CSI500 market. Our findings are useful for understanding the microstructure of the trading volume in the Chinese market.

The product market competition has become a global challenge for business organizations in the challenging and competitive market environment in the influx of the COVID-19 outbreak. The influence of products competition on organizational performance in developed economies has gained scholars\' attention, and numerous studies explored its impacts on business profitability. The existing studies designate mixed findings between the linkage of CSR practices and Chinese business firms\' healthier performance in emerging economies; however, the current global crisis due to the coronavirus has made product market completion fierce, which ultimately affects business firms\' performance. This study focuses on this logical global challenge, investigates the rationale, and examines product-market completion impact on firms\' performance operating in the Chinese markets. The study collected data from the annual reports of Chinese business organizations with A-share listing and registered with the database of China Stock Markets and Accounting Research (CSMAR). The study employed a Generalized Method of Moment technique and investigated the connection between product market competition and Chinese firm performance. The empirical analysis of this study highlights the conclusion that market competition positively and significantly affected business firms\' performance. This study specified that product market competition play a dynamic and indispensable role in achieving healthier firm performance in the Chinese markets. This study provides valuable insights on practical implications and future research directions for the scholars to draw interesting results with new study models.

The purpose of this study was to explore the dimensions of service quality in fitness clubs in China and examine their impact on customer satisfaction. In Phase I of the study, we collected qualitative data from online comments related to service quality in 30 Tera Wellness clubs in Shanghai (k = 6252). Conducting content analysis, we synthesized the information and identified preliminary themes and formulated measurement statements. Phase II implemented a series of quantitative research procedures to examine the measurement properties of statements developed in Phase I. Conducting exploratory factor analysis, confirmatory factor analysis, and structural equation modeling analyses based on responses of club members (N = 533), we identified a total of 27 items in six dimensions: service recovery, service assurance, facility function, program operation, instructor quality, and staff performance. These factors significantly (p < 0.05) predicted customer satisfaction with fitness clubs in China. The findings highlight the importance of high-quality service delivery, service recovery, and service assurance and pinpoint specific areas for improvement.

As an important branch of video games and the integration of emerging motion-sensing technology, home motion-sensing games cannot only bring hedonic entertainment but also promote utilitarian benefits including exercise and social interaction for people to improve their physical and psychological health. As one of the most populous countries in the world, China has the largest number of households in the world but quite a low home game penetration rate due to the 13 year game industry winter for international enterprises. Whether Chinese customers have the intention of using motion-sensing games to improve their health status in the home environment will directly determine the commercial potential of the relevant industry in the Chinese market. In order to understand the motives of users and explore the market possibility and prospects of the game industry, this study adopts empirical research and structural equation modeling to construct a motivation model of Chinese consumers toward motion-sensing gameplay behavior in the household environment. We distributed 515 questionnaires to conduct a survey; 427 valid responses have been received, and 203 data, which meet the inclusion criteria of the required game experience, have been analyzed by SPSS25.0 and AMOS25.0. A structural equation model for the gameplay motivation has been constructed. The result shows that the three functional motivators, exercise (Path efficient = 0.40, p < 0.01), entertainment (Path efficient = 0.27, p < 0.01), and social interaction (Path efficient = 0.36, p < 0.01) of home motion-sensing games have a significantly positive impact on the user\'s intention to play. Furthermore, the diversity and the time-and-place flexibility variables exert an important positive influence on the users\' gameplay behavior through their effects on the three main functional motive variables. To sum up, (1) exercise, (2) entertainment, and (3) social interaction are the main functional motivations of the Chinese consumers\' gameplay behaviors; (4) diversity and (5) time-and-place flexibility are the two main attribute motivators. The acceptance of Chinese users for home motion-sensing games remains positive and high. The motion-sensing game industry has broad market prospects in China through its potential in promoting consumer\'s wellness and health in the home environment.

In the present study, a risk assessment of plant food supplements (PFS), traditional Chinese medicines (TCM) and herbal teas containing alkenylbenzenes was performed using the Margin of Exposure (MOE) approach. The levels of alkenylbenzenes in botanical preparations collected on the Chinese market were quantified and the combined estimated daily intake (EDI) was determined using dose additivity. The combined EDI values obtained assuming equal potency of all alkenylbenzenes detected in the PFS, TCM and herbal teas were 0.3 to 14.3, 0.05 to 539.4 and 0.04 to 42.5 μg/kg bw/day, respectively. Calculating combined EDI values taking into account the toxic equivalency (TEQ) approach, the values for PFS, TCM and herbal teas were 0.3 to 7.7, 0.05 to 278.0 and 0.02 to 16.5 μg estragole equivalents/kg bw/day, respectively. The MOE values resulting from consumption of these PFS, TCM and one cup of herbal tea per day during life-time were generally lower than 10 000, suggesting a potential priority for risk management. For short-term exposure such as two weeks consumption, applying Haber\'s rule, only one TCM 6 () still had an MOE value below 10 000. It is concluded that selected consumption of Chinese botanical preparations raise a concern because of exposure to alkenylbenzenes, especially when exposure is for longer periods of time.

Meat traceability based on molecular markers is exerting a great influence on food safety and will enhance its key role in the future. This study aimed to investigate and verify the polymorphism of 23 microsatellite markers and select the most suitable markers for individual identification and meat traceability of six swine breeds in the Chinese market. The mean polymorphism information content value of these 23 loci was 0.7851, and each locus exhibited high polymorphism in the pooled population. There were 10 loci showing good polymorphism in each breed, namely, Sw632, S0155, Sw2406, Sw830, Sw2525, Sw72, Sw2448, Sw911, Sw122 and CGA. When six highly polymorphic loci were combined, the match probability value for two random individual genotypes among the pig breeds (Beijing Black, Sanyuan and Taihu) was lower than 1.151 E-06. An increasing number of loci indicated a gradually decreasing match probability value and therefore enhanced traceability accuracy. The validation results of tracing 18 blood and corresponding meat samples based on five highly polymorphic loci (Sw2525, S0005, Sw0107, Sw911 and Sw857) were successful, with 100% conformation probability, which provided a foundation for establishing a traceability system for pork in the Chinese market.