Abstract:
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The objectives of this study were to investigate customers’ behaviors for choosing merchandise and to find factors that affect such behaviors. The samples of the study were 400 customers who bought merchandise via Line, Facebook, Website and other channels. The behaviors for buying their merchandise via Websites and/or social media included their purposes, channels, kinds of merchandise and durations for buying. As for factors affecting their choices were social factors, personal factors, psychological factors and marketing factors. Data of the study were analyzed by means of Descriptive Statistics. The samples’ genders, education levels and occupations were presented in frequency counts and percentages while ages, incomes and expenses were presented in frequency counts, percentages, means, standard deviations, maximum and minimum scores. Besides, Multinomial Logit Model was used for probability comparisons.
It was found that the chance for majority of the customers to buy merchandise via websites was negative. Based on Marginal Effects, it revealed that the merchandise in the categories of clothes and footwear had negative probability to be chosen while cosmetics and marketing factors had positive chance.
To investigate Marginal Effects for a chance for the customers to buy merchandise via social media, a Baseline Category was applied when the social media usage was used as a database. It was found that majority of the customers’ choices to buy merchandise via social media were negative. Cosmetics, footwear and marketing factors had negative chance to be chosen while clothes had positive chance.
Besides, it revealed that the chances for the customers to buy merchandise via websites and social media were positive. Based on Marginal Effects, it was found that a chance to buy a product of footwear was negative if one channel was available. However, if both channels were open, the chance was positive. The chance to buy clothes was negative while the chance to buy cosmetics was positive. Marketing factors had positive effects on the customers’ chances to buy merchandise.
Keywords: Comparison Websites Social media Factors Behaviors Probability Multinomial Logit Model Marginal Effects
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