Search

Due to the COVID-19 pandemic, there is an evident increase of online retail sellers and demand in e-commerce. To which, there is also an increasing number of complaints in regards to price deception and false marketing that affected the sales of online retailers. The researchers aimed to provide a solution by recommending new marketing strategies. This study investigated which among the factors: Customer Reviews, Customer Loyalty, Price, Advertisement, Hedonic Motivation, Rewards, Customer Care, Gender, Education Level, Income Group, and lastly Age Group would have a significant effect on consumer's online preference. A questionnaire with 51 questions was developed and disseminated through convenience sampling method. 502 responses from Filipino online consumers were acquired and the data was analyzed through Structural Equation Modeling using IBM SPSS Statistics 24 and IBM SPSS Amos. Results showed that Customer Reviews have the most significant effect on consumer's online preference, followed by Customer Loyalty, Price, Advertisement, and Hedonic Motivation. Through the significant factors found and certain demographic profiles that were relevant, marketing strategies were formed that catered on what influenced online consumers. The results of this study will be beneficial to the online retail sellers during and after the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Due to the COVID-19 pandemic, there is an evident increase of online retail sellers and demand in e-commerce. To which, there is also an increasing number of complaints in regards to price deception and false marketing that affected the sales of online retailers. The researchers aimed to provide a solution by recommending new marketing strategies. This study investigated which among the factors: Customer Reviews, Customer Loyalty, Price, Advertisement, Hedonic Motivation, Rewards, Customer Care, Gender, Education Level, Income Group, and lastly Age Group would have a significant effect on consumer's online preference. A questionnaire with 51 questions was developed and disseminated through convenience sampling method. 502 responses from Filipino online consumers were acquired and the data was analyzed through Structural Equation Modeling using IBM SPSS Statistics 24 and IBM SPSS Amos. Results showed that Customer Reviews have the most significant effect on consumer's online preference, followed by Customer Loyalty, Price, Advertisement, and Hedonic Motivation. Through the significant factors found and certain demographic profiles that were relevant, marketing strategies were formed that catered on what influenced online consumers. The results of this study will be beneficial to the online retail sellers during and after the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

There is a high demand for new and better methods to predict the success of marketing campaigns and products. One possible way is to use neuroscience data. This study deals with EEG technology in conjunction with predicting consumer preferences using electroencephalography (EEG). To 40 respondents were presented 10 products with different utility while EEG was measuring. The results show that there is a link between the measured EEG data and the actual preferences that were found using a binary choice task and questionnaire. Previous studies have shown that the early event-related potentials (ERPs) such as the N200 component can correlate with consumer preferences for products. At the population level, we obtained a correlation coefficient of 0.803, which proves the strong dependence between the preferential score and the value of the N200 ERP component. [ABSTRACT FROM AUTHOR]

This paper considers the differential pricing problem under trading in old goods for new in a two-echelon supply chain with one manufacturer and one retailer. Firstly, we make market segmentation according to the consumer preference of exchanging for the remanufactured product. Considering the subsidy which the government pays for the retailer, we develop three decentralized pricing models, and obtain the corresponding analytical equilibrium solutions. Then, the optimal decision results of three scenarios are compared, and numerical examples are presented to illustrate the effectiveness of the theoretical results. Finally, the changes of optimal prices and optimal expected profits in three game scenarios are obtained by varying the value of parameters, and the corresponding additional managerial insights are gained. [ABSTRACT FROM PUBLISHER]