Determinants of Consumers’ Behavioral Intention to Purchase Seafood Online: A UTAUT-Based Analysis in Surigao Del Sur, Philippines

This study examined the influence of the Unified Theory of Acceptance and Use of Technology (UTAUT) constructs—Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions—on consumers’ behavioral intention to purchase seafood products through digital platforms in Surigao del Sur, Philippines. Employing a descriptive-correlational quantitative design, data were collected from 100 respondents selected through stratified random sampling. A validated questionnaire measured perceptions of each UTAUT construct and behavioral intention using a five-point Likert scale. Descriptive statistics, Pearson correlation, and multiple linear regression were utilized for data analysis. Results revealed that all UTAUT constructs were positively perceived by respondents, indicating favorable attitudes toward digital seafood marketing. Correlation analysis showed strong interrelationships among constructs, with Performance Expectancy exhibiting the highest and most significant association with Behavioral Intention (r = 0.7169, p < 0.01). Regression analysis further identified Performance Expectancy (β = 0.4013, p = 0.002) and Facilitating Conditions (β = 0.4559, p = 0.003) as significant predictors of Behavioral Intention, whereas Effort Expectancy and Social Influence showed moderate yet non-significant effects. These findings suggest that consumers’ online seafood purchasing intentions are primarily driven by perceived usefulness and enabling infrastructure rather than ease of use or social persuasion. The study affirms the applicability of the UTAUT model in the digital seafood market context and underscores the importance of improving technological support, platform performance, and consumer trust to enhance adoption in emerging rural economies.

UTAUT, behavioral intention, digital seafood marketing, technology adoption

1. Abdullah, M., Rahim, A., & Latif, S. (2023). Technological readiness and user adoption of digital commerce in emerging markets. Journal of Retail Technology and Innovation, 18(4), 214–229. [Google Scholar] [Crossref]

2. Abdullah, R., Rahim, N., & Ahmad, S. (2023). Digital platform adoption and facilitating conditions in emerging economies: Evidence from e-commerce users. Telematics and Informatics, 87, 102072. [Google Scholar] [Crossref]

3. Al-Qudah, A., Al-Momani, A., & Alsoud, A. (2021). Determinants of consumers’ intention to use e-commerce based on UTAUT2. Sustainability, 13(14), 7844. [Google Scholar] [Crossref]

4. Dissanayake, D., Wijesundara, C., & Gunawardena, P. (2024). E-commerce adoption and consumer trust in online food markets: A developing country perspective. Asia Pacific Journal of Marketing and Logistics, 36(1), 88–107. [Google Scholar] [Crossref]

5. Hong, J., Lin, S., & Hsiao, C. (2021). Social influence and online purchase intention: The moderating role of digital literacy. Information Systems Frontiers, 23(5), 1231–1245. [Google Scholar] [Crossref]

6. Hong, S., Kim, J., & Lee, C. (2021). User acceptance of food delivery applications: An extended UTAUT approach. Journal of Retailing and Consumer Services, 63, 102731. [Google Scholar] [Crossref]

7. Kaur, P., & Bhatt, S. (2022). Digital consumer behavior in post-pandemic food commerce. Journal of Retailing and Consumer Services, 65, 102883. [Google Scholar] [Crossref]

8. Lee, H., Park, Y., & Kim, K. (2022). Online grocery adoption and perceived risk in the digital era. Food Quality and Preference, 99, 104568. [Google Scholar] [Crossref]

9. Nair, R., & Das, S. (2023). From effort expectancy to digital maturity: Revisiting UTAUT in the food retail sector. International Journal of Information Management, 71, 102579. [Google Scholar] [Crossref]

10. Nair, S., & Das, R. (2023). Exploring the impact of UTAUT constructs on digital shopping behavior during post-pandemic recovery. Information Systems Frontiers. https://doi.org/10.1007/s10796-023-10476-5 [Google Scholar] [Crossref]

11. Pham, T., Nguyen, H., & Tran, P. (2023). Consumer perceptions of online seafood quality and safety in Southeast Asia. British Food Journal, 125(9), 3410–3428. [Google Scholar] [Crossref]

12. Pham, T., Nguyen, L., & Bui, Q. (2023). Understanding online food purchasing intention: Integrating trust and risk with UTAUT. British Food Journal, 125(4), 1023–1042. [Google Scholar] [Crossref]

13. Rahim, N., Abdullah, Z., & Yusoff, R. (2022). Facilitating conditions and the intention to adopt e-commerce among SMEs in rural areas. Heliyon, 8(5), e09411. [Google Scholar] [Crossref]

14. Rahim, N., Hassan, H., & Latiff, A. (2022). Facilitating conditions and perceived trust as determinants of e-commerce adoption in rural communities. Information Development, 38(7), 1062–1075. [Google Scholar] [Crossref]

15. Sharma, P., Dwivedi, Y., & Hughes, D. (2022). Performance expectancy and behavioral intention in digital commerce: Revisiting UTAUT2. Technological Forecasting & Social Change, 179, 121663. [Google Scholar] [Crossref]

16. Sharma, R., Gupta, M., & Saini, S. (2022). Performance expectancy and consumer adoption of food delivery apps during COVID-19. Technological Forecasting and Social Change, 182, 121798. [Google Scholar] [Crossref]

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