Identifying Workarounds Among Young End Users and Sellers of Generative AI Platforms in Indonesia

Prambudi, Aurellia Karevina Khadijah (2026) Identifying Workarounds Among Young End Users and Sellers of Generative AI Platforms in Indonesia. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Generative AI telah dengan cepat tertanam dalam praktik digital sehari-hari, dengan jutaan pengguna mengandalkan layanan platform Generative AI untuk menghasilkan konten seperti teks dan gambar. Untuk mengelola dan penggunaan, platform-platform ini menerapkan mekanisme tata kelola yang mengatur akses dan perilaku. Namun, semakin banyak bukti menunjukkan bahwa tata kelola semacam itu sering kali tidak selaras dengan kebutuhan pengguna, yang mengarahkan pengguna untuk mengakali aturan formal melalui perilaku workarounds. Meskipun workarounds telah banyak dipelajari dalam konteks organisasi, penelitian terkait workarounds pada Generative AI, terutama dalam kaitannya dengan pasar informal yang menyediakan akses alternatif ke layanan ini, masih terbatas. Tugas akhir ini bertujuan menyelidiki praktik workaround yang dilakukan oleh Pengguna Akhir (End Users) dan Penjual informal (informal Sellers) dari platform Generative AI di Indonesia, serta faktor-faktor yang mendorong perilaku ini. Dengan menggunakan pendekatan studi kasus kualitatif, penelitian ini menganalisis data wawancara semi-terstruktur dan observasi lapangan melalui metode three-order open coding. Temuan diharapkan dapat mengidentifikasi pola tindakan workaround yang berulang, mengklasifikasikannya ke dalam tipologi, dan mengungkap motivasi mendasar di baliknya. Dengan demikian, penelitian ini bertujuan untuk berkontribusi pada pemahaman tentang perilaku pengguna di bawah tata kelola platform dan memberikan rekomendasi praktis bagi penyedia platform Generative AI untuk meningkatkan desain tata kelola dan keunggulan operasional.
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Generative AI has rapidly become embedded in everyday digital practices, with millions of users relying on Generative AI platform services to generate content such as text and images. To manage risks, pricing, and usage, these platforms enforce governance mechanisms that regulate access and behavior. However, increasing evidence suggests that such governance often misaligns with user needs, leading users to bypass formal rules through workaround behaviors. While workarounds have been widely studied in organizational information systems, limited research has examined how they emerge within Generative AI platforms, particularly in relation to informal markets that provide alternative access to these services. This final project investigates workaround practices conducted by both End Users and informal Sellers of Generative AI platforms in Indonesia, as well as the factors that drive these behaviors. Using a qualitative case study approach, the study analyzes semi-structured interview data and field observations through a three-order open coding method. The findings are expected to identify recurring patterns of workaround actions, classify them into typologies, and uncover the underlying motivations behind their emergence. By doing so, this research aims to contribute to a deeper understanding of user behavior under platform governance and to provide practical recommendations for Generative AI platform providers to improve governance design and operational excellence.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Workarounds, Generative AI, Open Coding, End Users, Sellers
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD58.87 Reengineering (Management) Business process T Technology > T Technology (General) > T57.5 Data Processing
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Information System > 57201-(S1) Undergraduate Thesis
Depositing User:	Aurellia Karevina Khadijah Prambudi
Date Deposited:	01 Jul 2026 01:07
Last Modified:	01 Jul 2026 01:07
URI:	http://repository.its.ac.id/id/eprint/134173

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