Determinants Of Internet Financial Reporting Of Croatian Banks – Panel Analysis

Abstract

In the recent years, reporting and transparency of banks is in the focus of national and international regulators and their aim is to increase the transparency of financial institutions in order to strengthen stability of the banking system. In this paper, the authors used dynamic panel analysis in order to analyze the practice of Internet financial reporting of Croatian banks in the period from 2010 to 2014. Research of Bank's Internet financial reporting practices was carried out at two levels. At the first, descriptive level, the goal of the research was to determine the level as well as trends of Internet financial reporting of 27 Croatian banks during the observed period. It is assumed that the level of Internet financial reporting during the analyzed period increased as a result of stricter regulations in the financial sector. In order to measure the level of financial reporting by banks, Bank Internet financial reporting score was developed on the basis of 45 elements -criteria which are divided into two groups: financial reporting (20 elements) and corporate governance and risks (25 elements). The second goal of the research was to determine factors that significantly affect the practice of Bank Internet financial reporting in Croatia. The authors applied dynamic panel analysis in order to determine the impact of size, profitability, adequacy of capital and ownership structure on the level of Internet financial reporting of banks.

Pengaruh Ukuran Perusahaan, Listing Age, Profitabilitas dan Reputasi KAP terhadap Corporate Internet Financial Reporting (CIFR) pada Bank Konvensioal Tahun 2018 - 2020

“…Penelitian yang berhubungan dengan pelaporan keuangan Internet bank tidak seluas yang terkait dengan analisis pelaporan keuangan Internet dari perusahaan non-keuangan (Pervan & Bartulović, 2017). Padahal lembaga keuangan memiliki tanggung jawab yang besar kepada stakeholders, karena lembaga keuangan merupakan lembaga terpercaya yang mengelola dana stakeholders (Insani et al, 2019).…”

“…Perbedaaan penelitian ini dengan penelitian sebelumnya yaitu pada penelitian ini peneliti mengganti objek penelitian yang berfokus pada Bank Konvensional dimana pada penelitian sebelumnya Sarea (2020) menjadikan Bank Syari'ah sebagai objek penelitian. Seperti yang sudah peneliti jelaskan sebelumnya alasan peneliti menjadikan Perusahaan Perbankan sebagai studi kasus penelitian ini karena penelitian yang berhubungan dengan pelaporan keuangan Internet bank tidak seluas yang terkait dengan analisis pelaporan keuangan Internet dari perusahaan nonkeuangan (Pervan & Bartulović, 2017) dan lembaga keuangan juga memiliki tanggung jawab yang besar kepada stakeholders, karena lembaga keuangan merupakan lembaga terpercaya yang mengelola dana stakeholders (Insani et al, 2019).…”

“…Perbedaan berikutnya yaitu pada penelitian ini variabel CIFR diukur menggunakan indeks yang dikembangkan pada penelitian Pervan & Bartulović (2017) dimana sebelumnya pada penelitian sebelumnya CIFR diukur menggunakan indeks yang dikembangkan oleh Sarea (2018) Alasan peneliti menggunakan indeks pengungkapan tersebut karena indeks pengungkapan ini digunakan khusus untuk mengukur praktik CIFR Bank Konvensional sedangkan indeks yang dikembangkan oleh Sarea (2018) merupakan indeks yang dikembangkan khusus untuk mengukur praktik CIFR Bank Syari'ah . Indeks yang dikembangkan pada penelitian Pervan & Bartulović (2017) terdiri dari 45 elemen yang dibagi menjadi dua kelompok: Pelaporan keuangan (20 elemen) dan Tata kelola perusahaan dan risiko (25 elemen). Skor tersebut didasarkan pada karya Pervan (2006), dan versi asli indeks diperluas dan diubah oleh elemen yang spesifik untuk pelaporan bank konvensional (Pervan & Bartulović, 2017).…”

Digitalization of financial reporting in local governments of three Montenegrin regions – Current situation and perspectives

“…Namely, the results show that the average IFR score for the companies included in the research in Croatia was 6.85, which is significantly lower than the Slovenian company, the glanded indicator is 17. Another research (Pervan et al, 2017) used panel analysis in order to analyse the level of transparency in digital financial reporting of Croatian banks. Research was conducted for the period 2010 -2014.…”

Analyzing the Internet financial market risk management using data mining and deep learning methods

“…The model is robust to financial risk management and supply chain performance evaluation. The dynamic panel analysis used by Pervan and Bartulovi c (2017) was applied to analyze the Internet financial reporting of Croatian banks. And the research on the practice of Internet financial reporting of banks was carried out at two levels.…”