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How to Cite
Consumers Relationship Proneness, Benefits, and Satisfaction on Select Casual Dining Restaurants in Malabon City
Porfirio Catolico, Jr.
6College of Business, Management, and Accountancy, De La Salle Araneta University, Malabon City
Solomon A. Oluyinka
Baliwag Polytechnic College & De La Salle University;De La Salle Araneta University, Philippines
Jeremiah P. Palmiano
College of Accounts and Business, FEU Diliman, Quezon City
Adolf Josef Yao
6College of Business, Management, and Accountancy, De La Salle Araneta University, Malabon City
Sheriebelou Alejo
6College of Business, Management, and Accountancy, De La Salle Araneta University, Malabon City
Reian Gonzales
6College of Business, Management, and Accountancy, De La Salle Araneta University, Malabon City
DOI: https://doi.org/10.59429/esp.v10i6.3488
Keywords: Consumer relationship proneness; consumer benefits; consumer satisfaction; casual dining restaurant
Abstract
Food and beverage establishments are greatly patronized by people all over the world. It results in highly recognized and huge competition, which seems to limit the intentions of the newly entered restaurant business. Based on previous studies, this study suggests that strategic management may lead to creating loyalty among customers. Also, confidence, social, and special treatment benefits were suggested for developing relationships with their customers. A SmartPLS 4.0 software program was utilized to structure a quantitative correlation model based on 301 customers dining at restaurants in Malabon City, Philippines. The findings suggest that customer trust is crucial for organizations in the food industry as it cultivates loyalty towards the services provided. The correlation between consumer relationship proneness and social benefits, special treatment benefits, and personalized attention is statistically significant in this study. The findings of this study may be essential to market share and can be seen as lucrative and mutually advantageous strategic management. Conclusively, the suggested model can be adopted by different stakeholders in food businesses by equipping them with the necessary information to develop resilient casual dining enterprises. Future studies may replicate the suggested model in a different location or in another developing country. Also, future study may consider a mixed-mode type of research, and statistical software such as WarpPLS 8 might be considered for the analysis.
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