EFFECT OF VIDEO CONTENT INFORMATION QUALITY AND FOOD VLOGGER TRANSPARENCY ON FOOD PURCHASE INTENTION AMONG GENERATION Z IN KENDARI CITY
DOI:
https://doi.org/10.31539/m2mk3w43Keywords:
information quality, content transparency, food vlogger, purchase intention, Generation ZAbstract
This study analyzes the effect of video content information quality and food vlogger transparency on food purchase intention among Generation Z in Kendari City, both partially and simultaneously. A quantitative approach with a causal design was applied. Primary data were collected through an online five-point Likert questionnaire from 120 Generation Z respondents who live in Kendari, have watched food vlogger content, and actively use social media. The data were analyzed using multiple linear regression in SPSS. Information quality (β = 0.508) and transparency (β = 0.228) each have a positive and significant effect on purchase intention, and together they explain 44.7% of its variation (adjusted R²). Information quality is the more dominant predictor. The purposive sample is limited to Generation Z in Kendari, the data are perceptual and cross-sectional, and the study measures purchase intention rather than actual purchase behavior. The findings offer input for culinary businesses, food vloggers, and digital marketers in designing video-based promotion strategies that are informative and transparent about paid collaborations. The study provides empirical evidence from a regional Indonesian city, testing both factors jointly, whereas earlier studies were conducted outside Indonesia and emphasized one factor per model.
References
[1] We Are Social and Hootsuite. (2024). Digital 2024: Indonesia. DataReportal. https://datareportal.com/reports/digital-2024-indonesia
[2] H.T. Nguyen, H.T. Do, and M.T. Trinh. (2024). Food vloggers and their content: Understanding pathways to consumer impact and purchase intentions. Journal of Trade Science.
[3] S. Bhagat, M. Rathore, and A. Sharma. (2024). Street food in the digital era: Unraveling the influence of food vloggers' credibility and information quality on consumer intentions. International Journal of Social Economics.
[4] C. Zhang, S. Lin, and Y. Hsu. (2024). Study of the correlation between streaming video platform content on food production processes and the behavioral intentions of Generation Z. Foods 13(15): 1537. https://doi.org/10.3390/foods13101537
[5] I. Ajzen. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes 50(2): 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
[6] R.E. Petty and J.T. Cacioppo. (1986). Communication and Persuasion: Central and Peripheral Routes to Attitude Change. Springer. New York.
[7] C.I. Hovland, I.L. Janis, and H.H. Kelley. (1953). Communication and Persuasion. Yale University Press. New Haven.
[8] W.H. DeLone and E.R. McLean. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems 19(4): 9–30. https://doi.org/10.1080/07421222.2003.11045748
[9] H. Park. (2020). The role of information quality in e-WOM: An empirical study of Korean Gen Z. Journal of Interactive Marketing 52: 30–45. https://doi.org/10.1016/j.intmar.2020.04.003
[10] K. Sokolova and H. Kefi. (2020). Instagram and YouTube bloggers promote it, why should I buy? How credibility and parasocial interaction influence purchase intentions. Journal of Retailing and Consumer Services 53: 101742. https://doi.org/10.1016/j.jretconser.2019.01.011
[11] L.G. Schiffman and L.L. Kanuk. (2008). Consumer Behavior, 10th ed. Prentice Hall. Upper Saddle River.
[12] J.F. Hair, W.C. Black, B.J. Babin, and R.E. Anderson. (2010). Multivariate Data Analysis, 7th ed. Pearson. Upper Saddle River.
[13] Sugiyono. (2018). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Alfabeta. Bandung.
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Copyright (c) 2026 Multazam Multazam, Muhammad Sofian Maksar, Inayah Abdillah Rabbani

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