This study to investigate Mobile service quality factors influencing on customer satisfaction and repurchase intention for the research purpose. This study collected data by a survey method for an empirical. A total of 340 replies were used for data analysis. While 340 replies were collected from Chinese users of Mobile e-commerce. Our results support previous researches to results of SPSS analysis all of the 7 hypotheses, 4 hypotheses are adopted and 3 are deleted. After an empirical analysis of this study, the academic implications are as follows. As there have not been many academic studies related to mobile commerce quality, this study can be a meaningful framework when quality factors associated with mobile commerce are being analyzed. This paper as the mobile commerce industry is very sensitive to environmental changes, academic research that can be used to cope with these changes is continuously required. Further studies should be carried out to overcome limitations that have not been analyzed by this study.

The study is to identify the factors influencing Chinese consumers' intentions to purchase organic food based on Theory of Planned Behavior (TPB) model. This research concentrates on the moderating effect of gender during the process. An offline investigation was used for the research purpose. Data for the study was gathered from February to March 2018. The total of 260 valid responses was used for this analysis. An online questionnaire was distributed through Email to Chinese consumers living in major cities of China and abroad to collect the data. Multi group analysis and model comparison were conducted to examine the moderating effect of gender. Our results support previous researches suggesting that gender moderates the relationship between attitude and behavioral intention. However, surprisingly, no significant moderating effect of gender on the relationship between subjective norms and behavioral intention was found. This paper revisited TPB antecedents and the moderating effect of gender focusing on Chinese organic food markets. The findings provide essential managerial implications to the marketers in this industry. Further research could examine whether TPB model can be applied to other potential purchasing groups.

While the Chinese banks have started the impact of foreign banks. At the same time, rising pressure on foreign exchange reserves and appreciation of the renminbi has prompted Chinese banks to go abroad and diversify their risks. The financial crisis of 2008 has caused the continued turbulence of the major financial markets around the world, and the valuation of foreign financial institutions has been drastically shrinking, providing opportunities for Chinese banks to carry out overseas M&A. Based on the overseas M&A status of Chinese commercial banks, this paper sums up the characteristics of the overseas M&A. Then taking a series of overseas M&A conducted by ICBC from 2006 to 2011 as an example, it analyzes the relationship between M&A and performance growth using grey incidence model. The test shows: there is a positive correlation between both overseas M&A and interest rate differential with performance growth of ICBC, and overseas M&A transactions role in promoting the performance growth is significantly higher than the interest rate differential.

The rapid development of artificial intelligence technology has exerted a great influence on all fields of the world, which of course also affects the world economy. This has also aroused a large number of economists' interest in this proposition. Since the definition of artificial intelligence is not unified yet, the results from previous researches are not reliable enough. At present, most scholars use the neoclassical growth model or task-based model to explore the path of artificial intelligence on economic variables. There into, most of them use the degree of automation to represent the artificial intelligence. They find that the degree of automation can change the proportion of industries. This only verifies that artificial intelligence can affect the economic variables. But the magnitude of artificial intelligence on economic variables can not be correctly estimated. Therefore, in order to have a better understanding on the impact of artificial intelligence on economic growth, this paper systematically reviews and collates previous literature on this topic. The results of this paper indicate that both in theoretical and empirical studies, artificial intelligence has a positive effect on economic growth. Then, some suggestions and limitations have also been put forward accordingly.

The purpose of this study is to develop a measure of service quality in the traditional market by examining previous research on the service quality of the traditional market studied so far. After defining basic concepts through definition of traditional market and existing studies, 5 categories of configuration items for SERVQUAL measurement in traditional market were made up based on existing researches related to definition of service quality and service quality of traditional market. A survey was conducted on the items that fit the intention of this study and various statistical analyzes were conducted. Statistical analysis was performed using SPSS 22.0 and AMOS 22.0. The reliability of the items was measured by the reliability test, and the predictability and accuracy of the items were examined. The validity of the measured variables was verified through confirmatory factor analysis. Reliability, empathy, responsiveness, certainty, and tangibility were the most important factors in this study. Responsiveness factors include communication, time reduction, real time, promptness. Assurance factors include the assurance of delivery, prompt answers, product knowledge items. Tangibility factors include, convenient device systems, location information, presence as a fact, and as a result, the latest modern items are adopted. The quality of service in the traditional market developed in this study was found to be good in reliability and validity test. Confirmatory factor analysis result using structural equation model also met the conformity index standard. If service satisfaction is measured based on this research, basic data can be presented to policy makers who implement policies on traditional markets to make the right decisions. In addition, it will be able to provide traditional market operators with operational strategy and marketing data. In the future, based on the traditional market service quality scale developed in this study, it is necessary to grasp the factors to be continuously managed to improve the service quality of the traditional market, user satisfaction, and intention to use.