The continued rise of e-commerce is the main driver of the rapid growth of global online purchase. Consumers can nearly buy everything they want at one occasion through online shopping. The purchase behavior models which focus on single product category are insufficient to describe online shopping behavior. Therefore, analysis of multi-category purchase gets more and more popular. For example, ...

The proliferation of mobile technologies makes it possible for mobile advertisers to leap beyond the real-time snapshot of the static location and context information about consumers. In this study, we propose a new mobile advertising strategy that leverages full information on consumers' offline moving trajectories from four different mobility dimensions (i.e., temporal duration, spatial dispe...

Currently, organizations often take into consideration the environmental, social, and governance (ESG) principles by following a more inclusive approach together with potential other emerging practices that attract consumers who have particular affiliations environment. This study investigates influence of social environmental sustainability awareness on impulse buying through proposed set hypo...

Understanding purchase behavior of people in city environment can have important implications in the design and management of cities and the study of urban economy. Traditional studies have proposed to use gravity-based spatial interaction (Huff) model [1, 2] or discrete choice model [3] to model individual purchase behavior. These models treat individual purchases separately and do not explici...

the aim of this paper is to investigate the existence of the new non-ricardian regime policy in iranian economy. we detected signs of the non-ricardian regime from quarterly data of 1369 to 1391. to investigate further a dynamic stochastic general equilibrium model is designed to estimate the fiscal and monetary parameters using a bayesian approach. our results indicated a passive monetary poli...

We propose a new topic model for tracking timevarying consumer purchase behavior, in which consumer interests and item trends change over time. The proposed model can adaptively track changes in interests and trends based on current purchase logs and previously estimated interests and trends. The online nature of the proposed method means we do not need to store past data for current inferences...

DOES SEARCH MATTER? : USING ONLINE CLICK STREAM DATA TO EXAMINE THE RELATIONSHIP BETWEEN ONLINE SEARCH AND PURCHASE BEHAVIOR Neveen F. Awad, Joni L. Jones, Jian Zhang Introduction The ability to track consumer behavior online is considered a prime advantage that online retailing has over brick and mortar retailers. However, firms are still grappling with how to understand their consumers throug...

This study is attempted to combine the decomposition theory of planned behavior with the theories of relationship quality and product involvement to establish a complete model for the explanation of factors influencing online investment and post-purchase behavior. The SEM causal model was used to verify the capability of the model to explain the online investment and post-purchase behavior of c...

We propose a new topic model for tracking timevarying consumer purchase behavior, in which consumer interests and item trends change over time. The proposed model can adaptively track changes in interests and trends based on current purchase logs and previously estimated interests and trends. The online nature of the proposed method means we do not need to store past data for current inferences...