The purpose of this paper is to explain the difference and connection between the network big data analysis technology and the psychological empirical research method. This study analyzed the data from laboratory setting first, then the online sales data from Taobao. Compared with traditional research methods, such as questionnaire and behavioral experiment, network big data analysis has significant advantages in terms of sample size, data objectivity, timeliness and ecological validity. Future study may consider the strategy of using complementary methods and combining both data-driven and theory-driven approaches in research design to provide suggestions for the development of e-commence in the era of big data.
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Study: Online Shopping Behavior in the Digital Era | iAcquire Blog
However, online shopping cart abandonment rate also increases to Online shopping is more accessible than it has ever been in the digital era with the introduction of tablets, smartphones, easy checkout systems and more secure systems. As a result, the e-commerce industry is generating higher sales volume. Census Bureau ,. Assuming the online shoppers are above 15 years old, the majority of the U. This is thrilling news for internet retailers. However, with more and more players jump into the market and grabbing the shares, the behavior of online shoppers is something every internet retailer is trying to figure out.
Handbook of Consumer Finance Research pp Cite as. This chapter provides an overview of recent research related to online shopping and the conceptual frameworks that have guided that research. Specifically, the chapter addresses research related to who shops online and who does not, what attracts consumers to shop online, how and what consumers do when shopping online, and factors that might slow the growth in consumer online activities.