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                <text>Gravetter, J. Frederick and   Wallnau, B. Larry </text>
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                  <text>Faculty of Computing and Information Systems</text>
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                <text>To survive and prosper in the China, online companies must design their operational platforms to organically adjust to changes in consumer shopping behavior. The study investigated the intrinsic and extrinsic factors that influence the online purchasing behavior of Chinese millennials. A cohort of university students from selected parts of the Jiangsu province provided the sample of study. Consistent with the extant literature, the research confirms that millenials are influenced by several external factors, demographic factors, personal characteristics, and vendor/service/product characteristics and websites qualities when buying online. The economic, socio-cultural, technological, and legal considerations where the main external factors that influences online shopping behavior of Chinese millenials, internet knowledge, concern for security, need specificity and disposition to trust were the main personal characteristics identified. The study also found significant association between vendor services such as real existence of the store, store reputation, store size, reliability, assurance (seals, warranties, news clips) and use of testimonials/reference have association with millennials’ purchasing intention. Similar characteristics were identified for product characteristics, service quality factors and website quality and each of these is statistically significant. Gender was determined to moderate the effect of all the factors on online shopping behavior</text>
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                <text>Studies on the determinants of environmental quality in the European Union (EU) are plentiful. However, to the best of my knowledge, there has been no research on the linkage between stock market development and environmental quality in the EU, while controlling for natural resource rents, trade openness and energy consumption at the same time. This study aided in filling the above gap using a panel data of 17 EU member countries from 1995 to 2014. In attaining the above goal, second and third generation econometric techniques that control for slope heterogeneity, cross-sectional dependence and structural breaks among others were employed for the analysis. From the cross-sectional dependence test, there were correlations in the residual terms. Also, the heterogeneity test affirmed the slope parameters to be heterogeneous in nature. Moreover, the unit root tests confirmed the series to be stationary …</text>
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