determinant of cultural có ảnh hưởn

determinant of cultural có ảnh hưởng mạnh nhất đến quá trình ra quyết định mua hàng của khách hàng (ß = 0.341), tiếp theo đó là determinant of technological (ß = 0.259), và cuối cùng, determinant of marketing không có ảnh hưởng đến quá trình ra quyết định mua hàng của khách hàng (ß = 0.077).
Có tất cả 384 người tham gia trả lời bảng câu hỏi. Trong đó; về gender, có 54,8% người trả lời là nữ; về age, các đối tượng có độ tuổi từ 30 đến 40 tuổi được phân bố nhiều nhất, chiếm 49,5%; về education level, 56,3% người trả lời đã có bằng cử nhân; về monthly income, more than 800 JD chiếm nhiều nhất là 39,5%. Theo kết quả của Pearson’s correlation analysis, there is a high correlation between independent variable (technological, cultural, and marketing) and dependent variable (purchasing decision)

Kết quả (Anh) 1:

determinant of cultural has heavily influenced the decision-making process to the purchase of the clients (by = 0.341), followed by the determinant of technological (section = 0.259), and finally, the determinant of marketing does not affect the purchase decision process (section = 0.077).Have all 384 participants answered questionnaires. In it; about gender, there are female respondents 54.8%; about age, objects age from 30 to 40 years are the most distributed, accounting for 49.5%; about the education level, 56.3% of the respondents have a Bachelor; about the monthly income, more than 800 JD 39.5% is occupied. According to the results of the Pearson's correlation analysis, there is a high correlation between the independent variable (technological, cultural, and marketing) and dependent variable (purchasing decision)

Kết quả (Anh) 2:

determinant of the most powerful cultural influence to making purchasing decisions of customers (ß = 0341), followed by the determinant of Technological (ß = 0259), and finally, determinant of marketing without affecting making purchasing decisions of customers (ß = 0077).
a total of 384 participants answered questionnaires. Inside; on gender, with 54.8% of respondents were female; of age, subjects aged 30 to 40 are distributed most, accounting for 49.5%; the education level, 56.3% of respondents had a bachelor's degree; of monthly income, more coal accounts for at most 800 JD 39.5%. According to Pearson's correlation results of the analysis, there is a high correlation the between independent variable (Technological, cultural, and marketing) and dependent variable (purchasing Decision)