Chinese Service Industry Research Articles

A study of dynamic econometric relationship between urbanization and service industries growth in china

Purpose: The paper is going to analyze that there are dynamic quantitative relationships between Chinese urbanization and service industry. Design/methodology/approach: According to the index number of value-added of service industry and town population/ total population ratio during the year of 1978 to 2012 in China, the paper is designed with models which are analyzed by ADF test, co-integration test, error correction model and Granger causality test, finally get the conclusion. Findings: The paper achieves the two conclusions, one is that urbanization is the important power of service industry’s growth; the other is that the level of urbanization improves the level of service industry recently. Originality/value: Chinese urbanization and service industry have close relationship, and they also have dynamic changes. The paper studies their dynamic changes through collecting a lot of data from the year 1978 to 2010 and developing models to make quantitative analysis, for example, tables and quotations in the paper are the best proof. At last, the paper also puts forward some suggestions after get the conclusion that Chinese urbanization is the motive power to the growth of service industry.

Application of BP neural network in evaluating e-business performance for service industry

The BP neural network model has a convergence and self-adaptability. Based on BP neural network algorithms, we establish the prediction system of e-business performance for Chinese service industry. According to our former studies, the e-business performance is measured by process performance of customer relationship management, financial performance and competitive performance. In this BP neural network model, the inputs in this study are the data of e-business performance measured by a five-point Likert scale, and the expected outputs of training neural network come from cluster analysis. Then, we take 14 indicators of e-business performance as inputs, and the level of e-business performance as outputs. The results show that the evaluation system is reliable and accurate; it can be used for evaluating enterprise performance effectively.

The Directions for Advancement of Korean Enterprises in Chinese Service Industry

The Directions for Advancement of Korean Enterprises in Chinese Service Industry

Basic characteristics, spatial disparity and its major influencing factors of service industry in China

Based on the analysis of its basic characteristics, this article investigated the disparities of Chinese service industry among the three regions (the eastern China, the western China and the middle China) and inter-provincial disparities of that in the three regions by Theil coefficient and cluster analysis. Then, major factors influencing its spatial disparity were explored by correlation analysis and regression analysis. The conclusions could be drawn as follows. 1) The development of Chinese service industry experienced three phases since the 1980s: rapid growth period, slow growth period, and recovery period. From the proportion of value-added and employment, its development was obviously on the low level. From the composition of industrial structure, traditional service sectors were dominant, but modern service sectors were lagged. Moreover, its spatial disparity was distinct. 2) The level of Chinese service industry was divided into five basic regional ranks: well-developed, developed, relatively-developed, underdeveloped and undeveloped regions. As a whole, the overall structure of spatial disparity was steady in 1990–2005. But there was notable gradient disparity in the interior structure of service industry among different provinces. Furthermore, the overall disparity expanded rapidly in 1990–2005. The inter-provincial disparity of service industry in the three regions, especially in the eastern China, was bigger than the disparity among the three regions. And 3) the level of economic development, the level of urban development, the scale of market capacity, the level of transportation and telecommunication, and the abundance of human resources were major factors influencing the development of Chinese service industry.

What is the most important predictor of employees' turnover intention in Chinese call centre: job satisfaction, organisational commitment or career commitment?

Chinese call centre industry is now encountering a serious problem of high turnover. This study investigates the relative importance of job satisfaction, organisational commitment and career commitment on turnover intention in Chinese call centres. Data were collected from call centres of three dominating telecommunication companies in China. Multiple regression and dominance analysis are used based on the sample of 231 call centre employees. The results indicated that relationship between organisational commitment and turnover intention as well as between career commitment and turnover intention is significantly negative. More importantly, the result demonstrated that career commitment was the most important predictor of call centre employees' turnover intention. Based on the research findings, implications of improving human resource management in Chinese service industry are suggested.

Analysis on influenting factors and characteristics of spatial disparity in Chinese service industry

In an information-oriented economy,service industry becomes more and more significant in social and economic development.Since the implementation of the reform and opening up policy started in 1978,service industry has developed rapidly in China.But the growth of Chinese service industry is characterized by regional disequilibrium.Based on correlative analysis and regression analysis,the factors influencing regional disequilibrium of Chinese service industrial development are explored.Furthermore,this paper studies the inter-regional,intra-regional and inter-provincial disparities of Chinese service industry development by Theil coefficient and cluster analysis.The following conclusions are drawn.Firstly,per capita GDP,urbanization level,market scale,level of transportation and telecommunication,economic globalization and human resource are the six major factors affecting Chinese service industrial development.Especially,the levels of per capita GDP and urbanization are the main elements promoting the Chinese service industrial growth.Secondly,using cluster analysis method,the inter-provincial service industry development can be divided into five ranks in the geographical space.Stability dominates the evolution of spatial structure of Chinese service industrial development.But intra-provincial disparity of service industrial development is significant.Thirdly,regional disparity in Chinese service industrial development has become more and more obvious at a higher speed since the 1990s.Intra-region disparity,especially disparity in eastern China,is the main contributor to the regional disparity.It is thus necessary to promote the overall and balanced development of Chinese service industry bewteen different regions.