FINANCErnInitial Effects of Mandatory XBRL Adoption across the Indonesia Stock Exchange`s Financial Information Environment -- Muhammad Zamroni, Y Anni Aryani -- 181–197rnThe Dynamic Correlation between ASEAN-5 Stock Markets and World Oil Prices -- Robiyanto Robiyanto-- 198–210rnDoes The Crude Palm Oil Market Walk Randomly? -- Dolly Parlagutan Pulungan, Sugeng Wahyudi, Suharnomo Suharnomo -- 211–218rnTaxpayer Compliance in SMEs Sector: A Theory of Planned Behavior -- Made Sudiartana, Ni Putu Yuria Mendra -- 219–230rnTaxpayer Compliance, Trust, and Power -- Theresia Woro Damayanti, Samuel Martono -- 231-239rnThe Influence of Tax Understanding, Tax Awareness and Tax Amnesty toward Taxpayer Compliance --rnAhmad Nurkhin, Ine Novanty, Muhsin Muhsin, Sumiadji Sumiadji -- 240–255rnFamily Involvement in Firm’s Management and Productivity: An Empirical Evidence from Indonesia -- Eko Suyono -- 256–275rnThe Impact of Hedging on Firm Value of Public Non-Bank State-Owned Enterprises -- Henny Galla Pradana, Prima Naomi -- 276–290rnThe Intellectual Capital Components on Firm Value: Evidence from LQ-45 Index Companies -- Eristy Minda Utami -- 291–300rnWhat's the Best Factor to Determining Firm Value? -- Neneng Susanti, Nanda Gyska Restiana -- 301–309rnMacro and Micro Determinants of Stock Return Companies in LQ-45 Index -- Rahmat Fajar Basarda, Moeljadi Moeljadi, Nur Khusniyah Indrawati -- 310–320rnBANKINGrnThe Competitive Advantage between Intellectual Capital and Financial Performance of Banking Sector in ASEAN -- Bella Nursyarifa Rochmadhona, Tarsisius Renald Suganda, Sendy Cahyadi -- 321–334rnThe Intention to Use E-Money using Theory of Planned Behavior and Locus of Control -- Alfalia Citra Ayudya, Amin Wibowo -- 335–349rnThe Role of Customer Value, Islamic Brand Preference, and Image on Deposit Decision -- Tasya Kemala Mirza, Sudjatno Sudjatno, Sunaryo Sunaryo -- 350–361rnIndividual Perception of Ethical Behavior and Whistleblowing on Fraud Detection through Self-Efficacy-- I Gusti Ayu Purnamawati -- 362–372rnBankometer Models for Predicting Financial Distress in Banking Industry --Laely Aghe Africa – 373-379rn