參考文獻 |
中文部分
[1] 林坤進 (2011),企業導入 IFRS 所面臨之困難與挑戰: 以 H 上市公司為例,臺灣大學會計與管理決策組學位論文, 1-65。
[2] 周建宏(2012),主管機關推動與國際接軌之相關規定,IFRS 雙軌期間之挑戰及實務解決方案研討會,國立政治大學會計學系。
[3] 陳慕賢 (2011),07,專家傳真─ 美國對 IFRS 採拖字訣,工商時報,財經要聞。
[4] 經濟部工業局(2012),IFRS問答教戰手冊,一版,經濟部工業局臺北市。
[5] 台灣證券交易所,台灣XBRL委員會,XBRL推動計畫,xbrl.org.tw
[6] 周建宏(2009),全面採用 IFRS 對企業的衝擊與影響, 資誠通訊, 第 222 期 (3 月): 8-11。
[7] 江美艷(2011),接軌IFRS:我國邁向國際舞台之重要里程碑,勤業眾信聯合會計師事務所。
[8] 江美艷(2015),改善IFRSs合併財務報告編製流程. (勤業眾信會計師事務所),75 。
[9] 蘇裕惠、林寶珠(2010),“導入IFRS評估與規劃之實務指引”,《會計研究月刊》,300,100-108,2010a。
[10] 蘇裕惠、林寶珠(2010), “接軌IFRS變革難度—除準則層面外,還有實務運作之差異”,《會計研究月刊》,299,84-92,2010b。
[11] 蘇裕惠、林寶珠(2011),“導入IFRS設計與執行階段之實務指引(一) ”,《會計研究月刊》,302,114-129,2011a。
[12] 蘇裕惠、林寶珠(2011),“導入IFRS設計與執行階段之實務指引(二) ”,《會計研究月刊》,303,90-98,2011b。
[13] 蔡文賢、藍淑慧,2015,「IFRS經營管理e化實務」,台北市:碁峯資訊股份有限公司。
[14] 陳麗寧(2010),強化財務資訊公開-實現XBRL效益,證券暨期貨月刊,第28卷,第八期,22-33。
[15] 沈宜慶(2002),"企業資訊透明度與債券發行資金成本關係之實證研究,私立淡江大學會計學系碩士論文。
[16] 林靖傑、吳琮璠和莊素增(2015), "強制以 XBRL 申報財務報告能否降低資訊不對稱?.",會計評論, 60 期 , P1-33。
[17] 周濟群(2009), "利用 XBRL 技術設計可剖析的開放式企業報告架構." 會計學報。
[18] 王怡文、李威陞等人(2007),以系統軟體輔助合併報表編製實務(上)、(下),勤業眾信會計師事務所專題研究報告。
英文部分
[1] Hope, O. K., Jin, J., & Kang, T. (2006). Empirical evidence on jurisdictions that adopt IFRS. Journal of international accounting research, 5(2), 1-20.
[2] Capkun, V., Collins, D. W., & Jeanjean, T. (2012). Does adoption of IAS/IFRS deter earnings management. Google Scholar, SSRN, uiova. edu, accessed,22(8), 2014.
[3] Prather-Kinsey, J., Jermakowicz, E., & Vongphanith, T. (2008, January). Capital market consequences of European firms’ mandatory adoption of IFRS. In American Accounting Association Annual Meeting (Anaheim, California).
[4] Bova, F., & Pereira, R. (2012). The determinants and consequences of heterogeneous IFRS compliance levels following mandatory IFRS adoption: Evidence from a developing country. Journal of International Accounting Research, 11(1), 83-111.
[5] Albrecht, W. S., & Sack, R. J. (2001). The perilous future of accounting education. The CPA Journal, 71(3), 16.
[6] Ding, Y. (2015, April). Enterprise Financial Management System Analysis and Design based on ERP. In International Conference on Advances in Mechanical Engineering and Industrial Informatics. Atlantis Press.
[7] Vasarhelyi, M. A., Chan, D. Y., & Krahel, J. P. (2012). Consequences of XBRL standardization on financial statement data. Journal of Information Systems,26(1), 155-167.
[8] Hannon, N. (2003). XBRL for general ledger, the journal taxonomy. Strategic Finance, NA-NA.
[9] Haseqawa, M., Sakata, T., Sambuichi, N., & Hannon, N. (2004). Breathing new life into old systems. Strategic Finance, 85(9), 46.
[10] Farewell, S. M. (2006). An introduction to XBRL through the use of research and technical assignments. Journal of Information Systems, 20(1), 161-185.
[11] Kim, J. W., Lim, J. H., & No, W. G. (2012). The effect of first wave mandatory XBRL reporting across the financial information environment. Journal of Information Systems, 26(1), 127-153.
[12] Hakansson, N. H. (1977). Interim disclosure and public forecasts: An economic analysis and a framework for choice. Accounting Review, 396-426.
[13] Lev, B. (1988). Toward a theory of equitable and efficient accounting policy.Accounting Review, 1-22.
[14] Healy, P. M., & Palepu, K. G. (2001). Information asymmetry, corporate disclosure, and the capital markets: A review of the empirical disclosure literature. Journal of accounting and economics, 31(1), 405-440.
[15] Heflin, F. L., Shaw, K. W., & Wild, J. J. (2005). Disclosure policy and market liquidity: Impact of depth quotes and order sizes. Contemporary Accounting Research, 22(4), 829-865.
[16] Vishwanath, T., & Kaufmann, D. (1999). Towards transparency in finance and governance. Available at SSRN 258978.
[17] Healy, P. M., Hutton, A. P., & Palepu, K. G. (1999). Stock performance and intermediation changes surrounding sustained increases in disclosure.Contemporary accounting research, 16(3), 485-520.
[18] Logan, D., & Mogull, R. (2003). Sarbanes-Oxley: The Role of Technology.Gartner Research.
[19] Hodge, F. D., Kennedy, J. J., & Maines, L. A. (2004). Does search-facilitating technology improve the transparency of financial reporting?. The Accounting Review, 79(3), 687-703.
[20] Markelevich, A., Shaw, L., & Weihs, H. (2015). The Israeli XBRL Adoption Experience. Accounting Perspectives, 14(2), 117-133.
[21] Yoon, H., Zo, H., & Ciganek, A. P. (2011). Does XBRL adoption reduce information asymmetry?. Journal of Business Research, 64(2), 157-163.
[22] Pinsker, R., & Li, S. (2008). Costs and benefits of XBRL adoption: Early evidence. Communications of the ACM, 51(3), 47-50.
[23] Baldwin, A. A., & Brand, T. (2011). The impact of XBRL: A Delphi investigation.
[24] Debreceny, R., & Gray, G. L. (2001). The production and use of semantically rich accounting reports on the Internet: XML and XBRL. International Journal of Accounting Information Systems, 2(1), 47-74.
[25] Stergiaki, E., Vazakidis, A., & Stavropoulos, A. (2015). Development and Evaluation of a Prototype web XBRL-Enabled Financial Platform for the Generation and Presentation of Financial Statements according to IFRS.International Journal, 3(1), 74-101.
[26] Johnston, J. A. (2016). Extended XBRL Taxonomies and Financial Analysts′ Information. Available at SSRN 2737190.
[27] Stefanescu, C. (2014). XBRL-based projects for financial and prudential reporting–an empirical analysis in European banking system. Acta Universitatis Danubius. Œconomica, 10(2).
[28] Lambert, S. L., Krieger, K., & Mauck, N. (2016). Evaluating XBRL′s Impact on the Timeliness and Accuracy of Security Analysts′ Next-Year EPS Forecasts.Available at SSRN.
[29] Ra, C. W., Koh, Y. S., & Lee, H. Y. (2010). Voluntary filing of XBRL, does it help to reduce information asymmetry? Information asymmetry and the cost of equity capital in the short-run. In Accounting Theory and Practice Conference, Taipei.
[30] Jones, A., & Willis, M. (2003). The challenge of XBRL: business reporting for the investor. Balance Sheet, 11(3), 29-37.
[31] Deshmukh, A. (2004). Xbrl. The Communications of the Association for Information Systems, 13(1), 55.
[32] Baldwin, A. A., Brown, C. E., & Trinkle, B. S. (2006). XBRL: An impacts framework and research challenge. Journal of Emerging Technologies in Accounting, 3(1), 97-116.
[33] Gray, G. L., & Miller, D. W. (2009). XBRL: Solving real-world problems.International Journal of Disclosure and Governance, 6(3), 207-223.
[34] Sambamurthy, V., & Chin, W. W. (1994). The effects of group attitudes toward alternative GDSS designs on the decision‐making performance of computer‐supported groups. Decision sciences, 25(2), 215-241.
[35] Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336.
[36] Chin, W. W. (1998). Commentary: Issues and opinion on structural equation modeling.
[37] Wold, H. (1975). Path models with latent variables: The NIPALS approach (pp. 307-357). Acad. Press.
[38] Wold, H. Estimation of principal components and related models by iterative least squares. Multivariate Analysis. Edited by: Krishnaiaah PR. 1966.
[39] Barclay, D., Higgins, C., & Thompson, R. (1995). The partial least squares (PLS) approach to causal modeling: Personal computer adoption and use as an illustration. Technology studies, 2(2), 285-309.
[40] Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152.
[41] Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the academy of marketing science, 40(3), 414-433.
[42] Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2013). A primer on partial least squares structural equation modeling (PLS-SEM): Sage Publications.
[43] Moser, C. A., & Kalton, G. (1971). Survey methods in social investigation.Survey methods in social investigation., (2nd Edition).
[44] Hairs, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998).Multivariate data analysis. Englewood Cliffs, NJ: Printice Hall.
[45] Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach′s alpha.International journal of medical education, 2, 53.
[46] Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 39-50.
[47] Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336.
[48] Cohen, J. (1988). Statistical power analysis for the behavior science. Lawrance Eribaum Association.
[49] Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior research methods, instruments, & computers, 36(4), 717-731.
[50] Zhao, X., Lynch, J. G., & Chen, Q. (2010). Reconsidering Baron and Kenny: Myths and truths about mediation analysis. Journal of consumer research,37(2), 197-206.
[51] Hair Jr, Joseph F., et al.(2013). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications. |