Abstract:
The study Factors affecting the decision to purchase insurance voluntary new form of consumer province. Objective 1) to study the marketing mix. Influencing the decision to purchase car insurance, voluntary new form of consumer Kalasin 2) to study the decision to buy car insurance, voluntary new form of consumer Kalasin 3) to study the relationship. the impact of the marketing mix has to buy car insurance, voluntary form of new consumers in the province. By studying the samples in the province of 246 people the tools to collect the data statistics used to analyze data were percentage (Percentage) Average (Mean), standard deviation (Standard Deviation) correlation analysis. multiple (multiple Correlation Analysis) and multiple regression analysis (multiple regression Analysis)
The study indicated that People who buy insurance on voluntary new form. In Kalasin Most are female Between the ages of 31-40 years, the monthly income is between 15001-30000 baht automotive applications aged 1-7 years is natural karma insurance stipulated time. There are reasons to buy insurance because they want to reduce the risk of costly accidents. And a policy held between 5000-10000 baht opinion on the marketing mix of voluntary insurance scheme in the overall average level. The detailed analysis of each aspect. Found that, in all aspects, in descending order from the most to the least the staff distribution channels. And the process The decision to purchase car insurance, voluntary form a new overall average level. Marketing mix of voluntary insurance services, including new products, pricing, channel distribution. The marketing personnel, physical and service processes are positively correlated with the decision to buy the car insurance voluntary new form. Consumers in Kalasin Marketing mix of voluntary car insurance new patterns affect their decision to purchase insurance under the new voluntary car scheme. Consumers in Kalasin Physical (PHYS) and promotion (PROM) and human resources (STAF) in the same direction. This can create a regression below.
DECI = 0.582 + 0.489PHYS + 0.197PROM + 0.163STAF.