Modelling consumers' perceptions of internet service quality by structured equation analysis
China is emerging as one of the largest business to consumer retail market space in the world. Chinese digital consumers may exhibit different online shopping behaviour as compared to consumers in other parts of the world. Most research on consumer behaviour and e-service quality today relies on traditional service quality models. The aim of this paper is to propose and empirically verify an e-service quality model based on the B2C market space in the context of China's market. Key dimensions of e-service quality influencing quality perceptions of Chinese consumers and its impact on e-satisfaction are studied. The empirical results suggest that e-retailers should focus on website aesthetics and personalisation. Theoretical and managerial implications are also elaborated.
We study a new technique for optimal data compression subject to conditions of causality and different types of memory. The technique is based on the assumption that some information about compressed data can be obtained from a solution of the associated problem without constraints of causality and memory. This allows us to consider two separate problem related to compression and de- compression subject to those constraints. Their solutions are given and the analysis of the associated errors is provided. Keywords—stochastic signals, optimization problems in signal processing.