The Influence of Respondent Characteristics on Control Beliefs and Consumption Intentions of Processed Fish Products

Authors

  • Anindya Septisuwendani Departement of Management, Faculty of Economic and Management, IPB University
  • Ujang Sumarwan School of Business, IPB University
  • Mimin Aminah Departement of Management, Faculty of Economic and Management, IPB University

DOI:

https://doi.org/10.46799/ijssr.v3i10.571

Keywords:

Respondent Characteristics, Control Beliefs, Consumption Intentions, Processed Fish Products

Abstract

Fish plays a crucial role as a source of animal protein, providing various health benefits to humans, such as heart health, nerve function, and brain health. Furthermore, global aquaculture production has been on the rise, with Indonesia ranking as the world's second-largest fish producer. However, the consumption of fish remains relatively low. The diversification of processed fish products may serve as a solution to address the issue of low fish consumption, with the hope of increasing the intention to consume processed fish products. This study aims to examine the influence of respondent characteristics on control beliefs and the intention to consume processed fish products. The research employs descriptive analysis and Structural Equation Modeling-Partial Least Squares (SEM-PLS) analysis. The findings of the study reveal that respondent characteristics significantly impact control beliefs. However, respondent characteristics do not significantly influence the intention to consume. Additionally, control beliefs significantly influence the intention to consume processed fish products.

References

[BPS] Badan Pusat Statistik. 2021. Pengeluaran untuk Konsumsi Penduduk Indonesia. Badan Pusat Statistik.

[FAO] Food and Agriculture Organization of the United Nation. 2020. Determinants of demand and consumption.

[FAO] Food and Agriculture Organization of the United Nation. 2022. THE STATE OF WORLD FISHERIES AND AQUACULTURE 2022.

[KKP] KK dan perikanan. 2022. Jumlah AKI (Angka Konsumsi Indonesia).

Abdillah A, Rindang Matoati, Siti Muslikhah. 2022. Pengaruh Karakteristik Responden terhadap Minat Beli dengan Sustainable Fashion sebagai Variabel Pemediasi (Studi Kasus Pengikut Instagram Pijak Bumi). J. Sinar Manaj. 9(2):232–240.doi:10.56338/jsm.v9i2.2611.

Ajzen I. 1991. The theory of planned behavior. Organ. Behav. Hum. Decis. Process.:179–211.doi:https://doi.org/10.1016/0749-5978(91)90020-T.

Carlucci D, Nocella G, De Devitiis B, Viscecchia R, Bimbo F, Nardone G. 2015. Consumer purchasing behaviour towards fish and seafood products. Patterns and insights from a sample of international studies. Appetite. 84:212–227.doi:10.1016/j.appet.2014.10.008.

Chamdani MN. 2023. Statistika Deskriptif?: Bilangan Rangkuman. J. Stat.(January).

Chen J, Jayachandran M, Bai W, Xu B. 2022. A critical review on the health benefits of fish consumption and its bioactive constituents. Food Chem. 369(March 2021):130874.doi:10.1016/j.foodchem.2021.130874.

Close, Michael Andrew; Lytle, Leslie A; Chen, Ding-Geng; Viera AJ. 2018. Using the Theory of Planned Behavior to Explain Intention to Eat a Healthful Diet Among Southeastern United States Office Workers. Nutr. &Food Sci..doi:https:// doi.org/10.1108/NFS-06-2017-0123.

CNBC. 2023. Ironi Negara Maritim: Produksi Ikan Melimpah, Konsumsi Rendah.

Cohen J. 1988. Statistical Power Analysis for the Behavioral Sciences. 2nd Editio. Routledge.

Dinas Ketahanan Pangan dan Pertanian Kota Bogor [DKPP]. 2021. Laporan Kinerja Instansi Pemerintah (LKIP). Bogor.

Dubow EF, Boxer P, Huesmann LR. 2009. Long-term effects of parents’ education on children’s educational and occupational success. Merrill. Palmer. Q. 55(3):224–249.doi:10.1353/mpq.0.0030.Long-term.

Hair, Joseph F; Jr, Hult, G.T.M., Ringe, C., & Sarstedt M. 2014. A primer on partial least squares structural equation modeling ( PLS-SEM). SAGE Publications.

Hair JF, Risher JJ, Sarstedt M, Ringle CM. 2019. When to use and how to report the results of PLS-SEM. Eur. Bus. Rev. 31(1):2–24.doi:When to use and how to report the results of PLS-SEM.

Khairullah M, Yogyakarta S. 2020. Analisis Pengaruh Variabel Demografis Terhadap Minat Beli Jajanan Tradisional di Kecamatan Kraton Yogyakarta. IJIEB Indones. J. Islam. Econ. Bus. 5(1):15–31.

Maslovskaya O, Durrant GB, Smith PWF, Hanson T, Villar A. 2019. What are the Characteristics of Respondents using Different Devices in Mixed-device Online Surveys? Evidence from Six UK Surveys. Int. Stat. Rev. 87(2):326–346.doi:10.1111/insr.12311.

Mitterer-Daltoé ML, Carrillo E, Queiroz MI, Fiszman S, Varela P. 2013. Structural equation modelling and word association as tools for a better understanding of low fish consumption. Food Res. Int. 52(1):56–63.doi:10.1016/j.foodres.2013.02.048.

Nasution MI, Fahmi M, Jufrizen, Muslih, Prayogi MA. 2020. The Quality of Small and Medium Enterprises Performance Using the Structural Equation Model-Part Least Square (SEM-PLS). J. Phys. Conf. Ser. 1477(5).doi:10.1088/1742-6596/1477/5/052052.

Pangan NJ. 2023 Apr. Tingkatkan Konsumsi di Masyarakat, Kota Bogor Gencarkan Safari Gerakan Makan Ikan. Pangan News.

Patch CS, Tapsell LC, Williams PG. 2005. Attitudes and intentions toward purchasing novel foods enriched with omega-3 fatty acids. J. Nutr. Educ. Behav. 37(5):235–241.doi:10.1016/S1499-4046(06)60277-7.

Pusat Hidro-Oseanografi TNI Angkatan Laut. 2018. DATA KELAUTAN YANG MENJADI RUJUKAN NASIONAL DILUNCURKAN.

Rachmayani. 2020. Peer Tutoring on Fish and Vegetables-Based Diets Education to Prevent Anemia and Hypoalbuminemia in Adolescents. Indones. J. Hum. Nutr. 7(2):139–152.

Schoeppe S, Duncan MJ, Badland HM, Alley S, Williams S, Rebar AL, Vandelanotte C. 2015. Socio-demographic factors and neighbourhood social cohesion influence adults’ willingness to grant children greater independent mobility: A cross-sectional study. BMC Public Health. 15(1):1–8.doi:10.1186/s12889-015-2053-2.

Tomi? M, Matuli? D, Jeli? M. 2016. What determines fresh fish consumption in Croatia? Appetite. 106:13–22.doi:10.1016/j.appet.2015.12.019.

UNICEF. 2021. Strategi Komunikasi Perubahan Sosial dan Perilaku: Meningkatkan Gizi Remaja di Indonesia. Unicef.:1–66.

Yellapu V. 2018. Descriptive statistics. Int. J. Acad. Med. 4(1):60–63.doi:10.4103/IJAM.IJAM.

Downloads

Published

2023-10-25