A Stepwise Multiple Regression Analysis of Factors Influencing the Decision to Choose Freight Companies' Services

Main Article Content

Chananan Sukkrajang
Assistant professor Kantamon Sukkrajang
Assistant professor Tanarat Rattanakool

Abstract

A stepwise multiple regression analysis was conducted to examine the factors influencing consumers' decisions in choosing freight forwarding companies. The objectives were to investigate the relationships between marketing strategy factors and consumers' decisions in choosing freight forwarding companies in Songkhla province, Thailand; and to develop a predictive equation using stepwise multiple regression analysis. Data were collected from 404 consumers who used freight forwarding services in Songkhla province. Pearson's correlation coefficient was used to determine the relationship between marketing strategies and other factors influencing the decision to use freight forwarding services. Stepwise multiple regression analysis was employed to create a predictive equation. The study found that the overall level of marketing strategy in influencing the decision to use freight forwarding services was moderate ( = 3.345). The correlation coefficient analysis revealed a statistically significant positive relationship at the .01 level between marketing strategies and other factors influencing the decision to use freight forwarding companies. The location factor and the product service factor were identified as significant predictors of marketing strategy in the decision to use freight forwarding services.

Article Details

How to Cite
[1]
C. Sukkrajang, kantamon sukkrajang, and T. Rattanakool, “A Stepwise Multiple Regression Analysis of Factors Influencing the Decision to Choose Freight Companies’ Services”, Academic Journal of Industrial Technology Innovation, vol. 2, no. 2, pp. 24–31, Aug. 2024.
Section
Research Articles

References

Ali, B. J. and Anwar, G., 2021. “Marketing Strategy: Pricing strategies and its influence on consumer purchasing decision,” Ali, BJ, & Anwar, G. (2021). Marketing Strategy: Pricing strategies and its influence on consumer purchasing decision. International journal of Rural Development, Environment and Health Research, 5(2): pp. 26–39.

Chou, S.-F., Horng, J.-S., Liu, C.-H. S., and Lin, J.-Y., 2020. “Identifying the critical factors of customer behavior: An integration perspective of marketing strategy and components of attitudes,” Journal of retailing and consumer services, 55: pp. 102-113.

Duralia, O., 2022. “Consumer Behavior and Competition-Factors of a Successful Marketing Strategy,” Studies in Business and Economics, 17(3): pp. 70–79.

Hecht, A. A., Perez, C. L., Polascek, M., Thorndike, A. N., Franckle, R. L., and Moran, A. J., 2020. “Influence of food and beverage companies on retailer marketing strategies and consumer behavior,” International journal of environmental research and public health, 17(20): pp. 73-81.

Wanitbancha, K., 2002. Principles of statistics. Bangkok: Chulalongkorn University. (in Thai)

Taesombat, S., 2005. Regression analysis. Bangkok: Kasetsart University Publishing. (in Thai)

Ramos, C. M., Cardoso, P. J., Fernandes, H. C., and Rodrigues, J. M., 2022. “A decision-support system to analyse customer satisfaction applied to a tourism transport service,” Multimodal Technologies and Interaction, 7(1): pp. 5.

Tecoalu, M., 2021. “The effect of service quality, promotion strategy and company image on word of mouth in mediation by online transport customer satisfaction Jakarta region”, Revista geintec-gestao inovacao e tecnologias, 11(3): pp. 93–102.

Parlinska, M., Górecka, A., and Misiejuk, M., 2012. “Transportation service satisfaction–case study of shipping contractor of “Agro-Fish” company", Electronic Journal of Polish Agricultural Universities, 15(3): pp. 15050297.