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Abstrak :
Perkembangan strategi bisnis dalam era digitalisasi ekonomi saat ini adanya upaya untuk menekan pembayaran pajak sekecil mungkin dengan mengalihkan keuntungan ke negara lain yang memiliki tarif pajak yang rendah atau bahkan bebas pajak, disebut Base Erosion and Profit Shifting (BEPS). Automatic Exhange of Information (AEoI)menjadi salah satu bentuk upaya untuk mencegah praktik BEPS, Indonesia telah menjadi salah negara yang mengimplementasikan AEoI dalam perjanjian internasional. Penelitian ini dilakukan untuk menjelaskan, menganalisism dan mengetahui terkait implementasi kebijakan AEoI dalam penggalian potensi penerimaan pajak, penelitian ini dilakukan dengan menggunakan pendekatan kualitatif dan teknik pengumpulan data melalui wawancara mendalam. Hasil penelitian ini menunjukkan bahwa implementasi kebijakan AEoI sudah cukup baik, dilihat berdasarkan variabel yang digunakan yaitu komunikasi, sumber daya, disposisi, dan struktur organisasi. Selain itu, data yang telah diperoleh akan ditindaklanjuti dengan mengolah, mengidentifikasikan, dan menyebarkan data tersebut ke KPP, sehingga data yang sudah diperoleh dapat dimanfaatkan secara efektif dan efisien. ......Development of business strategies in the current era of economic digitalization has something to do with paying taxes as small as possible with money transfers to other countries that have lower or more tax-free tax rates, called Base Erosion and Profit Shifting (BEPS). Automatic Information Exchange (AEoI) is one form of efforts to prevent BEPS practices, Indonesia has become one of the countries implementing AEoI in international agreements. This study was conducted to explain, analyze, and understand related to the implementation of AEoI policies in extracting potential tax revenue, this research was conducted using qualitative and data collection techniques through in-depth interviews. The results of this study indicate that the implementation of AEoI policy is good enough, seen based on the variables used, namely communication, resources, disposition, and organizational structure. In addition, the data that has been obtained will be followed up by processing, identifying, and disseminating the data to the Tax Office, and the data has been obtained can be utilized effectively and efficiently.

Abstrak :
Perusahaan tech startup mengalami perkembangan yang signifikan dalam era digital, sehingga dibutuhkan strategi, modal, dan model bisnis yang kompetitif. Penelitian ini bertujuan mengevaluasi faktor penentu kesuksesan IPO dari perusahaan tech startup melalui metode PLS-SEM. Metode PLS-SEM bertujuan memprediksi korelasi dan keterkaitan antar variabel, melalui tahap validasi expert, kemudian pilot testing dari 131 responden, dan kuesioner akhir terhadap 300 orang. Hasil PLS-SEM didapatkan bahwa kesuksesan IPO berkaitan dengan variable Others (0.257), Financial (0.255), Technical (0.198), Social (0.168), dan Political (0.144) dengan koefisien prediktif Project Feasibility (0.98). Penelitian menghasilkan rekomendasi standarisasi kerja yang baik, strategi bisnis yang terstruktur, dan inovasi Business Model Canvas (BMC) perusahaan untuk berhasil melaksanakan IPO dan menarik bagi investor. ......Tech startup companies are experiencing significant developments in the digital era, so they need a competitive strategy, capital, and innovative business model. This focus to provide strategic recommendation for IPO success of tech startup companies through the Partial Least Square of SEM method with the initial hypothesis from the research model that IPO project success can be achieved through Technical, Financial, Social, Political, and Others variable that represent the company image, prospectus and business performance. The PLS-SEM method aims to predict correlations and interrelationships between variables, through the expert validation stage, then pilot testing of 131 respondents, and a final questionnaire of 300 people. The results of the PLS-SEM show that the success of the IPO is related to the variables Others (0.257), Financial (0.255), Technical (0.198), Social (0.168), and Political (0.144) with a predictive coefficient of Project Feasibility (0.98) which means the initial hypothesis was accepted and proven by statistical parameters. The research resulted in recommendations for good standardization of work, structured business strategies, and innovation of the company's Business Model Canvas (BMC) to successfully carry out an IPO and attract investors.