THE 19th National Congress of the Communist Party of China（CPC）attracted global attention with1,818 journalists from abroad to cover the event in Beijing on October 18-24,more coverage than for the18th CPC National ...THE 19th National Congress of the Communist Party of China（CPC）attracted global attention with1,818 journalists from abroad to cover the event in Beijing on October 18-24,more coverage than for the18th CPC National Congress.Most of them have been based in China or visited China on several occasions.They have witnessed the changes of Chinese people＇s life in the past five years.展开更多
This paper studies the dynamics of online purchase patterns, focusing on the impact of the channel used on conversion probability, as well as the transition of channel use over time. A novel data set from a major Chin...This paper studies the dynamics of online purchase patterns, focusing on the impact of the channel used on conversion probability, as well as the transition of channel use over time. A novel data set from a major Chinese online travel agency is used for analysis, consisting of four months of data with 24,337 store visits through three types of channels： direct visit, search advertising and referral. Results of a Bayesian multinomial logit model show that the search channel significantly affects consumers＇ conversion probability, and show a high degree of inertia in channel use. This finding contrasts sharply with suggestions of previous research that most future purchases will converge to the direct-visit channel.展开更多
文摘THE 19th National Congress of the Communist Party of China（CPC）attracted global attention with1,818 journalists from abroad to cover the event in Beijing on October 18-24,more coverage than for the18th CPC National Congress.Most of them have been based in China or visited China on several occasions.They have witnessed the changes of Chinese people＇s life in the past five years.
基金This research is supported by the National Natural Science Foundation of China （No. 71302172 and No. 71202145）.
文摘This paper studies the dynamics of online purchase patterns, focusing on the impact of the channel used on conversion probability, as well as the transition of channel use over time. A novel data set from a major Chinese online travel agency is used for analysis, consisting of four months of data with 24,337 store visits through three types of channels： direct visit, search advertising and referral. Results of a Bayesian multinomial logit model show that the search channel significantly affects consumers＇ conversion probability, and show a high degree of inertia in channel use. This finding contrasts sharply with suggestions of previous research that most future purchases will converge to the direct-visit channel.
