This research aims to study the marketing mix factors that influence consumers’ purchasing decisions and to compare the marketing mix factors that influence purchasing decisions of consumers in the Seacon Square shopping mall. It was found that the marketing mix factors that influence the buying decisions of customers in the Seacon Square shopping mall were at the high level in every criteria. The product factor was at the highest level. The following are the distribution channel promotion marketing and pricing respectively. A comparative study of the marketing mix factors that influence consumers’ purchasing decisions by the nature of personal information showed that customers having different age and status had different marketing mix factors in the purchasing decision statistically at the 0.05 level.But the customers with different gender educational level occupation and average revenue per month had indifferent factors that affect the marketing mix decisions statistically at 0.05.

The objectives of this study were to study the demographic factors including gender age status education level occupation and income affecting the decision to buy food online and tostudy the marketing mix and technology adoption that affected the online food purchasing decisions of Baby Boomersin Bangkok. The population was 55-75 years old Baby Boomer who bought food online in Bangkok. The probability sampling specifically the stratified sampling method was used to determine the total of 400 samples. The data was analyzed using descriptive statistics such as frequency percentage mean and standard deviation. The inferential statistics were Independent Sample T-test One-way ANOVA analysis Pearsons Correlation Coefficient and Multiple Regression Analysis The study results showed that the marketing mix factors could meet the demand for online food ordering of the sample in high level. The technology acceptance level of the overall sample group was high. The importance of the 4-step online food purchasing decision process of the samples namely the perception of the need or problem information seeking alternative assessment and buying decisions was high. The hypothesis testing found that on the evaluation of purchasing options different age groups had a statistically significant difference at 0.05. On purchasing decision married samplesand the widows paid more attention to the purchasing decision process differently at the statistical significance of 0.05.On the perception of needs or problems the sample group with bachelors degrees put more emphasis than those who graduated from elementary schoolsand the group who finished secondary education with the statistical significance at 0.05. On the evaluation of purchasing decision options the group with secondary education put less emphasis thanthe group with bachelors degrees at the statistical significanceof 0.01. On purchasing decision the group with secondary education put less emphasis than associate degree graduates with the statistical significance at 0.05 and put less emphasis thanthe group with a bachelors degree with the statistical significance at 0.05. On data acquisition groups with different incomes put different emphasis with the statistical significance at 0.05. Convenience ease of use and consumer factors had a positive influence on the need or problem perception process at the significant level of 0.05. Convenience benefit perception and ease of use factors had a positive influence on the information seeking processat the significance level of 0.05. Value convenience communication ease of useand consumer factors had a positive influence on the process of evaluating purchasing options at the significant level of 0.05. Convenience benefit perception ease of use and consumer factorshad a positive influence on the purchasing decision process at the significance level of 0.05.

The objective of this research is to study relation level between personal factor and mixing factor of the marketing and the decision- making to buy the portable computers of Krirk university students. The sample group is 351 Krirk university students. The research tool is the questionnaire. Data analysis is described as percentage value means standard deviation t-test and F-test. The results showed that personal factors including gender age level of education salary and influenced persons are related to the purchase of portable computers of Krirk university students at the 0.01 level. It was also found that mixing factors of marketing price place and marketing promotion has a statistically significant positive relationship with decision-making of the purchase of portable computers of Kirk university students at 0.01.