The topic of festival effect on costumer buying behavior is an important issue to the company. One of the most significant features of the total product is the place where it is bough or consumed. In some cause, the place, more specifically the atmosphere of the place, is more influential than the product itself in the purchase decision. To improve customer purchase, many stores spend a lot of time to demonstrate special merchandise display in festival to attract customers. In the paper, we focus on merchandise display and emotional contagion to explore display of goods to perceived value and emotional contagion to mood, and their effects on customer impulsive buying. We use experimental method to manipulate merchandise display of store (festival display store / no festival display store) and emotional contagion (with emotional contagion environment / no emotional contagion environment) and to measure perceived value and impulsive buying with Likert scale. We infer that the store with festival merchandise display and emotional contagion environment will effect on impulsive buying.

In the rapidly changing market, there is a never-ending sequence of marketing actions and competitive reactions. Customer may consume much volume to stockpile more than they need when the price promotion or some benefit that retail gives. Thus this paper explores the customer purchase rate, the speed of product consumption and the inactive probability with extending queue model. A real data set from the customer purchase behavior in two electronic business retailers website includes purchase volume, the duration of customer consumption (which is the interpurchase time between purchase behavior with the same product in the same brand) and the duration of variety-seeking (which is defined as customer purchase the same categories but different brand of product) to estimate the parameters and calculate the expectation value of product consumption and product stockpile volume. This result can make application for other industries such as e-commerce.

This paper stands on customer’s view of point to discuss the usage on Internet of Things(IoT). A purchase behavior modelofIoT is constructed based onChaCha model to explore the impact factors that influence customer’s adoption of IoT. The characteristics of IoT itself and customer individualcharacteristics are also included. Then a survey data will be conducted to estimate the parameters of the proposed model. These empirical data are also used to make model calibration. Finally, the application of IoT in marketing management will be present in the conclusion.

No abstract

This paper uses Bayesian model to propose two different conditions in which the ordering quantity and ordering time are two previous and relative data. Based on cost balance view of point, productivity is the prime goal in material manufacturing process. Thus, this research calculates the full model of productivity with considering these two different conditions cases. The empirical data is used to estimate parameters of these two proposed models and make the comparisons of model calibration between these two conditions. The results show good fitness between empirical data and simulation data when ordering time is conditioned by ordering quantity. Finally the conclusion is made for practical application in operations and production management. 