Please use this identifier to cite or link to this item: https://publication.npru.ac.th/jspui/handle/123456789/2212
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dc.contributor.authorYotsak, Waritsara-
dc.contributor.authorThangtes, Sasima-
dc.contributor.authorRittiboonchai, Wisit-
dc.date.accessioned2024-08-25T09:59:21Z-
dc.date.available2024-08-25T09:59:21Z-
dc.date.issued2024-08-13-
dc.identifier.isbn978-974-7063-46-2-
dc.identifier.urihttps://publication.npru.ac.th/jspui/handle/123456789/2212-
dc.description.abstractResearch on Factors affecting people's decision to buy electric Vehicless in Nakhon Pathom province It has two objectives: 1) to compare people's decision to buy an electric car in Nakhon Pathom province; 2) To study the adoption of technology that affects people's decision to buy an electric Vehicles in Nakhon Pathom province 3) To study the market mix factors that affect people's decision to buy an electric Vehicles in Nakhon Pathom province. Data were collected from 400 samples of the population in Nakhon Pathom province by selecting samples according to convenience. The statistics used include: Percentage, mean, standard deviation Independent t - test, one-way Analysis of variance and Multiple regression analysis. The results showed that: 1. Comparisonof EV purchasing decisions When classified by personal factors, it was found that there was a statistically significant difference in occupation and average monthly income. 2. Acceptance of technology that affects people's decision to buy electric Vehicless in Nakhon Pathom province It was found that the factors that affect include: In terms of intention to use ( b= 0.27) , perceived ease ( b= 0.14) , and perceived usefulness ( b= 0.09) , respectively, the variables had 36 percent predictive power and can write equations. as follows Ytot=2.14**+-0.09X1*+0.14X2**+0.27X3** 3. Market mix factors affecting people's decision to buy an electric Vehicles in Nakhon Pathom were found to be price ( b= 0.23) , product ( b= 0.18) , marketing promotion ( b= 0.15) , and distribution channels (b=0.13) respectively, and the variables had 53 percent predictive power and can write equations. as follows Ytot=1.28**+0.18X4**+-0.23X5**+0.13X6**+0.15X7**en_US
dc.publisherThe 16th NPRU National Academic Conference Nakhon Pathom Rajabhat Universityen_US
dc.relation.ispartofseriesProceedings of the 16th NPRU National Academic Conference;1188-
dc.subjectMarketing mix factorsen_US
dc.subjectPurchasing decisionen_US
dc.subjectElectric Vehiclesen_US
dc.titleFactors affecting the decision to purchase an electric car People in Nakhon Pathom Provinceen_US
dc.title.alternativeปัจจัยที่ส่งผลต่อการตัดสินใจซื้อรถยนต์ไฟฟ้าของประชาชนในจังหวัดนครปฐมen_US
dc.typeOtheren_US
Appears in Collections:Proceedings of the 16th NPRU National Academic Conference

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