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Consumer Preferences for Internal Combustion Subcompact Sedan Cars in General Santos City, Philippines

Author

Listed:
  • Evann Keith TABASA

    (University of Mindanao)

  • Marvin CRUZ

    (University of Mindanao)

Abstract

The purpose of this research was to examine the preferences of consumers for subcompact sedan cars in General Santos City, Philippines. This research may provide the car industry significant information as to how consumers process their car buying decisions that will in turn help car manufacturers and car dealerships develop market-driven marketing and sales strategies and tactics. Conjoint experimental research design was used in this study. Primary data were gathered through the use of a survey essentially structured using the orthogonally designed subcompact sedan car profiles that were rated by a total of 455 valid respondents based on their level of preference. Conjoint analysis revealed that consumers in General Santos City most prefer a subcompact sedan car which Price is USD. 16,044.00 (β=0.037), which Engine is 1.5 Liter - 4 Cylinder - 106 HP (β=0.092), which Safety feature is 6-7 SRS Airbags+Speed Sensing Doorlocks (β=0.019), which Fuel Efficiency is More than 12 Kilometers/Liter - City Driving (β=0.145) and which Brand is Honda - City (β=0.400). In addition, consumers place Brand as the most important attribute of a subcompact sedan car with overall relative importance of 43.065%, followed by Engine (18.898%), Price (17.088%), Fuel Efficiency (15.603%) and Safety (5.345%). Overall, majority of the consumers in General Santos City may choose Toyota - Vios as their Subcompact Sedan Car. This study recommends for car manufacturers to further nurture their car brands through advertising and other forms of promotion as consumers have the propensity to choose and purchase a subcompact sedan car primarily because of its brand.

Suggested Citation

  • Evann Keith TABASA & Marvin CRUZ, 2023. "Consumer Preferences for Internal Combustion Subcompact Sedan Cars in General Santos City, Philippines," Journal of Emerging Trends in Marketing and Management, The Bucharest University of Economic Studies, vol. 1(4), pages 27-37, December.
    • Handle: RePEc:aes:jetimm:v:1:y:2023:i:4:p:27-37
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    References listed on IDEAS

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    1. U. Umesh & Sanjay Mishra, 1990. "A Monte Carlo investigation of conjoint analysis index-of-fit: Goodness of fit, significance and power," Psychometrika, Springer;The Psychometric Society, vol. 55(1), pages 33-44, March.
    2. Green, Paul E & Srinivasan, V, 1978. "Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(2), pages 103-123, Se.
    3. Hunt Allcott & Christopher Knittel, 2019. "Are Consumers Poorly Informed about Fuel Economy? Evidence from Two Experiments," American Economic Journal: Economic Policy, American Economic Association, vol. 11(1), pages 1-37, February.
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    More about this item

    Keywords

    Subcompact sedan cars; preferences; conjoint analysis; simulated market shares.;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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