Quantifying the Factors Influencing Buyer’s Purchase Decision in the Light Commercial Vehicle: A Study Conducted in the Pune Region
Siddharth Sengar, Department of Management, Amrita VishwaVidyapeetham, Kollam, India.
Manuscript received on 18 April 2019 | Revised Manuscript received on 25 May 2019 | Manuscript published on 30 May 2019 | PP: 573-579 | Volume-8 Issue-1, May 2019 | Retrieval Number: F2564037619 /19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This study is to determine the customer preference when buying Light commercial Vehicle with various attributes like Mileage, Performance, Serviceability, Availability of spare parts, Technology, Down payment and to know which of the above attributes accolade and hike the sales of the vehicle. The duration of this study was done between the months of March- April of 2018. For this study, the Primary data had been collected from active users as well as customers with the help of a well-structured questionnaire. Buyers and Users of Light Commercial Vehicles in the Pune region were included for this study. Simple Random method of Sampling has been used, and 355 Buyers and Users were included for this study. Correlation, Factor, and regression analysis were used with the help of SPSS Software. The result obtained shows that the customer preference on the Light Commercial Vehicle has a high impact on the attributes like capacity loading, spare parts availability, Mileage, after sales service and Down payments.
Keywords: Principal Component Analysis, Percentage Analysis, Correlation Matrix.
Scope of the Article: Predictive Analysis