Factors Influencing Young Audience Preferences for Digital Platforms in Indonesia

Authors

  • Mochammad Abdul Machfud Universitas Negeri Surabaya
  • Arieviena Ayu Laksmi Universitas Negeri Surabaya
  • Tangkin Hong Phnom Penh International University

DOI:

https://doi.org/10.26740/vubeta.v1i2.35989

Keywords:

Theory of Planned Behavior, Young Audiences, Media Behavior, Indonesia

Abstract

The rapid development of digital technology and the widespread adoption of the internet have significantly transformed media consumption patterns, especially among young audiences in Indonesia. This study aims to explore the preferences and motivations of Indonesian youth (ages 15-30) in selecting digital platforms over traditional media, applying the Theory of Planned Behavior (TPB) as a framework. TPB posits that Attitude Toward Behavior, Subjective Norms, and Perceived Behavioral Control are key factors influencing behavioral intentions. Utilizing a quantitative, survey-based approach, the research examines the extent to which these factors impact young viewers' media preferences. Results reveal that Subjective Norms and Perceived Behavioral Control strongly influence digital media engagement, while Attitude Toward Behavior is less impactful. These findings highlight the importance of social influences and usability in shaping media preferences among young Indonesians. The insights gained could guide media providers in developing strategies that resonate with this demographic, adapting content and platform features to better meet the needs of an evolving digital audience

References

[1] A. Irmer and F. Schmiedek, "Associations between youth’s daily social media use and well-being are mediated by upward comparisons", Communications Psychology, vol. 1, no. 1, 2023. https://doi.org/10.1038/s44271-023-00013-0

[2] R. Suwarno, "Colorful escapism: spatial narrative and experiencing space in youtube web series mereka yang hidupkan mimpi | eskapisme berwarna: naratif spasial dan mengalami ruang dalam film seri web youtube mereka yang hidupkan mimpi", Spafa Journal, vol. 8, pp. a19-a34, 2024. https://doi.org/10.26721/spafajournal.eict4x3z9y

[3] V. Balakrishnan, "Going cashless? elucidating predictors for mobile payment users’ readiness and intention to adopt", Sage Open, vol. 13, no. 4, pp. 1-17, 2023. https://doi.org/10.1177/21582440231215111

[4] S. Chavanayarn, "Epistemic injustice and ideal social media: enhancing x for inclusive global engagement", Topoi, vol. 43, no. 5, pp. 1355-1368, 2024. https://doi.org/10.1007/s11245-024-10070-7

[5] E. Rf Wijaya, A. N. Rahmanto, A. Muhammad, and I. Naini, “The Existence of Conventional Television Faces the Trend of Subscription Video Services (Over-the-Top),” Int. J. Sci. Appl. Sci. Conf. vol. 6, no. 1, pp. 2549–4635, 2022. https://dx.doi.org/10.20961/ijsascs.v6i1.69947

[6] O. Kolotouchkina, "Digital media and younger audiences", Media and Communication, vol. 11, no. 4, pp. 124-128, 2023. https://doi.org/10.17645/mac.v11i4.7647

[7] L. Saulīte, D. Ščeulovs, & F. Pollák, "The influence of non-product-related attributes on media brands’ consumption", Journal of Open Innovation Technology Market and Complexity, vol. 8, no. 3, pp. 105, 2022. https://doi.org/10.3390/joitmc8030105

[8] D. Barnes, "Indigenous knowledge and creativities online: tiktok as a relational tool within the indigenous art process", Alternative an International Journal of Indigenous Peoples, vol. 20, no. 2, pp. 322-331, 2024. https://doi.org/10.1177/11771801241246731

[9] N. Rossi, B. Vories, S. Razmi, N. Momin, Z. Burgess, H. Pineet al., "Beyond hypoglossal hype: social media perspectives on the inspire upper airway stimulation system", Healthcare, vol. 11, no. 23, pp. 3082, 2023. https://doi.org/10.3390/healthcare11233082

[10] Y. Joshi, W. Lim, K. Jagani, & S. Kumar, "Social media influencer marketing: foundations, trends, and ways forward", Electronic Commerce Research, 2023. https://doi.org/10.1007/s10660-023-09719-z

[11] T. Evens, A. Henderickx, & P. Conradie, "Technological affordances of video streaming platforms: why people prefer video streaming platforms over television", European Journal of Communication, vol. 39, no. 1, pp. 3-21, 2023. https://doi.org/10.1177/02673231231155731

[12] A. Venus, "Exploring political expression among indonesian youth on youtube: an investigation of social identity and source credibility", Sage Open, vol. 14, no. 2, 2024. https://doi.org/10.1177/21582440241262647

[13] N. Pratiwi, "Perceived enjoyment and money attitude on intention to subscribe of streaming service platform: the case from makassar region, indonesia", Finance Theory and Practice, vol. 28, no. 2, pp. 219-226, 2024. https://doi.org/10.26794/2587-5671-2024-28-2-219-226

[14] S. Amalia, "Value perception and streaming intentions: exploring social identity mediation in indonesian ott users", Formosa Journal of Multidisciplinary Research, vol. 3, no. 5, pp. 1617-1624, 2024. https://doi.org/10.55927/fjmr.v3i5.9218

[15] S. Sovia, "Analysis of digital media usage in promoting communication skills in early childhood", FIJC, vol. 1, no. 1, p. 61-69, 2024. https://doi.org/10.62569/fijc.v1i1.12

[16] M. Hagger, M. Cheung, I. Ajzen, & K. Hamilton, "Perceived behavioral control moderating effects in the theory of planned behavior: a meta-analysis.", Health Psychology, vol. 41, no. 2, pp. 155-167, 2022. https://doi.org/10.1037/hea0001153

[17] R. Guste, "Machine learning decision system on the empirical analysis of the actual usage of interactive entertainment: a perspective of sustainable innovative technology", Computers, vol. 13, no. 6, p. 128, 2024. https://doi.org/10.3390/computers13060128

[18] V. Fransisca and W. Ningsih, "The advancement of technology and its impact on social life in indonesia", Devotion Journal of Research and Community Service, vol. 4, no. 3, pp. 860-864, 2023. https://doi.org/10.36418/devotion.v4i3.445

[19] M. Dodel, "Why device-related digital inequalities matter for e-government engagement?", Social Science Computer Review, vol. 42, no. 1, pp. 122-142, 2023.https://doi.org/10.1177/08944393231176595

[20] O. Ogiemwonyi and M. Jan, "The influence of collectivism on consumer responses to green behavior", Business Strategy & Development, vol. 6, no. 4, pp. 542-556, 2023. https://doi.org/10.1002/bsd2.261

[21] Z. Yanyan, "The effect of social media exposure, environmental concern and consumer habits in green consumption intention", Journal of Strategy and Management, vol. 16, no. 4, pp. 747-766, 2023. https://doi.org/10.1108/jsma-01-2023-0006

[22] U. Kayani, "Modeling the antecedents of green consumption values to promote the green attitude", Sustainability, vol. 15, no. 17, pp. 13111, 2023. https://doi.org/10.3390/su151713111

[23] C. Lin, "Tiktok videos and sustainable apparel behavior: social consciousness, prior consumption and theory of planned behavior", Emerging Media, vol. 1, no. 1, pp. 46-69, 2023. https://doi.org/10.1177/27523543231188279

[24] E. Erwin, S. Saununu, & A. Rukmana, "The influence of social media influencers on generation z consumer behavior in indonesia", West Science Interdisciplinary Studies, vol. 1, no. 10, pp. 1028-1038, 2023. https://doi.org/10.58812/wsis.v1i10.317

[25] A. Raman, "Online purchases among consumers during the covid-19 pandemic in malaysia", Online Journal of Communication and Media Technologies, vol. 14, no. 2, p. e202414, 2024. https://doi.org/10.30935/ojcmt/14252

[26] A. Ghofar, "Young muslim generation’s preferences for using digital platforms for zakat payments: a cross-country study of indonesia and malaysia", Journal of Infrastructure Policy and Development, vol. 8, no. 6, pp. 3249, 2024. https://doi.org/10.24294/jipd.v8i6.3249

[27] L. Pan, X. Zhang, S. Wang, N. Zhao, R. Zhao, B. Dinget al., "Determinants associated with self-management behavior among type 2 diabetes patients in china: a structural equation model based on the theory of planned behavior", International Journal of Clinical and Health Psychology, vol. 23, no. 1, pp. 100332, 2023. https://doi.org/10.1016/j.ijchp.2022.100332

[28] Y. Joshi, W. Lim, K. Jagani, & S. Kumar, "Social media influencer marketing: foundations, trends, and ways forward", Electronic Commerce Research, 2023. https://doi.org/10.1007/s10660-023-09719-z

[29] R. Irvin, "Evaluation experts: relations between ability emotional intelligence and attitude strength indicators.", Emotion, vol. 24, no. 5, pp. 1224-1235, 2024. https://doi.org/10.1037/emo0001329

[30] K. Putra, N. Yasa, T. Sukawati, & I. Widagda, "Integration perceived risk, travel constraints, and social influences in theory of planned behavior", International Journal of Social Science and Business, vol. 7, no. 4, pp. 957-964, 2023. https://doi.org/10.23887/ijssb.v7i4.61242

[31] E. Marsasi, A. Albari, & M. Muthohar, "How utilitarian motivation and trust can increase intention to use based on functional attitude theory", International Journal of Professional Business Review, vol. 8, no. 12, pp. e04086, 2023. https://doi.org/10.26668/businessreview/2023.v8i12.4086

[32] C. Bangun and T. Handra, "How theory of planned behavior and percieved risk affect online shopping behavior", Aptisi Transactions on Management (ATM), vol. 5, no. 2, p. 169-179, 2021. https://doi.org/10.33050/atm.v5i2.1594

[33] E. Bleckmann, S. Nestler, & J. Wagner, "Routes to momentary self‐esteem in adolescence: links with interpersonal perceptions of liking and personality metaperceptions within social interactions", Journal of Personality, vol. 92, no. 4, p. 1229-1246, 2023. https://doi.org/10.1111/jopy.12883

[34] V. Scoppa, "Social pressure in the stadiums: do agents change behavior without crowd support?", Journal of Economic Psychology, vol. 82, pp. 102344, 2021. https://doi.org/10.1016/j.joep.2020.102344

[35] A. Lauricella, D. Cingel, & E. Wartella, "The role of different characters on story-consistent attitudes and self-reported mental health-related behavior change among viewers of 13 reasons why.", Psychology of Popular Media, vol. 12, no. 1, pp. 93-104, 2023. https://doi.org/10.1037/ppm0000383

[36] M. Benuzzi and M. Ploner, "Skewness-seeking behavior and financial investments", Annals of Finance, vol. 20, no. 1, pp. 129-165, 2024. https://doi.org/10.1007/s10436-023-00437-y

[37] N. Songkram, S. Chootongchai, H. Osuwan, Y. Chuppunnarat, & N. Songkram, "Students’ adoption towards behavioral intention of digital learning platform", Education and Information Technologies, vol. 28, no. 9, pp. 11655-11677, 2023. https://doi.org/10.1007/s10639-023-11637-4

[38] M. Benuzzi and M. Ploner, "Skewness-seeking behavior and financial investments", Annals of Finance, vol. 20, no. 1, pp. 129-165, 2024. https://doi.org/10.1007/s10436-023-00437-y

[39] H. Jung, H. Jung, E. Baek, J. Chung, S. Kwon, J. Kanget al., "Investigation of heteroscedasticity in polygenic risk scores across 15 quantitative traits", Frontiers in Genetics, vol. 14, pp. 1-14, 2023. https://doi.org/10.3389/fgene.2023.1150889

[40] E. O., "On remedying the presence of heteroscedasticity in a multiple linear regression modelling", African Journal of Mathematics and Statistics Studies, vol. 7, no. 2, pp. 225-261, 2024. https://doi.org/10.52589/ajmss-tj9xi8hd

[41] Z. Ghareeb and S. AL-Temimi, "A new shrinkage method for higher dimensions regression model to remedy of multicollinearity problem", Periodicals of Engineering and Natural Sciences (PEN), vol. 11, no. 3, pp. 18, 2023. https://doi.org/10.21533/pen.v11i3.3550

[42] N. Hashim, B. Poobalan, N. Zakaria, N. Manikandan, & S. Shaari, "The modelling of sic gate oxide thickness based on thermal oxidation temperatures and durations for high-voltage applications", Trends in Sciences, vol. 20, no. 6, pp. 6648, 2023. https://doi.org/10.48048/tis.2023.6648

[43] I. Herranz-Matey and L. Ruiz-Garcia, "Enhancing predictive accuracy in european agricultural tractor residual value estimation: a double square root regression reappraisal", Agriculture, vol. 14, no. 5, pp. 654, 2024. https://doi.org/10.3390/agriculture14050654

[44] M. Shahzalal and H. Adnan, "Attitude, self-control, and prosocial norm to predict intention to use social media responsibly: from scale to model fit towards a modified theory of planned behavior", Sustainability, vol. 14, no. 16, pp. 9822, 2022. https://doi.org/10.3390/su14169822

[45] C. Liao, "Exploring social media determinants in fostering pro-environmental behavior: insights from social impact theory and the theory of planned behavior", Frontiers in Psychology, vol. 15, 2024. https://doi.org/10.3389/fpsyg.2024.1445549

[46] N. Songkram, "Investigating students’ behavioral intentions towards a smart learning platform based on machine learning: a user acceptance and experience perspective", International Journal of Information and Education Technology, vol. 14, no. 2, p. 260-270, 2024. https://doi.org/10.18178/ijiet.2024.14.2.2047

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Published

2024-12-01

How to Cite

[1]
Mochammad Abdul Machfud, Arieviena Ayu Laksmi, and T. Hong, “Factors Influencing Young Audience Preferences for Digital Platforms in Indonesia”, Vokasi Unesa Bull. Eng. Technol. Appl. Sci., vol. 1, no. 2, pp. 81–90, Dec. 2024.

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Vol. 1 No. 2 (2024) : December

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Copyright (c) 2024 Mochammad Abdul Machfud, Arieviena Ayu Laksmi, Tangkin Hong

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