eprintid: 484 rev_number: 10 eprint_status: archive userid: 64 dir: disk0/00/00/04/84 datestamp: 2021-07-31 11:48:03 lastmod: 2021-07-31 11:48:03 status_changed: 2021-07-31 11:48:03 type: thesis metadata_visibility: show creators_name: Ramirez Silva, Tania Lizeth corp_creators: George E. Iatridis title: The Impact of Annual Report Transparency and Readability on the Use of Business Failure Prediction Models. ispublished: submitted subjects: H1 subjects: HM divisions: MSCAF full_text_status: public keywords: Business, Business failure prediction models. abstract: The study aims to explain if the transparency and readability of the information released in the annual report affect the use of business failure prediction models. This study reports the results of an examination of the relation between the information transparency and readability in annual reports, on the use of business failure prediction models. Specially, this research aims to explain if the transparency and readability of the information released in the annual report affect the use of business failure prediction models. To explain this relationship, this study tested several hypotheses by using a correlation and a multiple regression analysis based on the primary data collected from a sample of 155 professionals using survey method. Some of the findings of this research indicate the following: (1) annual report transparency is significant correlated to the use of business failure prediction models; (2) annual report readability is not significant correlated to the use of business failure prediction models; (3) the transparency and readability of annual reports are significantly correlated; (4) the transparency and readability in the annual reports are not significant to explain changes in the use of business failure prediction models; (5) improvements on transparency, disclosure, the presentation of the financial statements or complementary information in annual reports could increase the business failure prediction. The results indicated that the studied variables together do not affect the use of business failure prediction model. Nevertheless, transparency and readability are correlated, but the correlation is weak as there could be other variables involve. Some of the suggested other variables were identified in this study. However future research is recommended. Moreover, as cases of business failure continue to be common across the world, future research on this topic is recommended in order to understand the variables that could improve the business failure prediction based on the information disclosed by companies given that the current literature do not fully assess this problem. In addition, this research highlights the need to define a standardize measure of information transparency and readability. date: 2020-08-28 date_type: submitted institution: Griffith College department: Graduate Business School: MSc in Accounting and Finance Management thesis_type: masters referencetext: References: Altman, E.I. (1984) ‘The Success of Business Failure Prediction Models: An International Survey’. Journal of Banking & Finance, 8(2), pp. 171–198. DOI: 10.1016/0378-4266(84)90003-7. Altman, E.I., Hotchkiss, E. and Wang, W. (2019) Corporate Financial Distress, Restructuring, and Bankruptcy: Analyze Leveraged Finance, Distressed Debt, and Bankruptcy. 4th edition. Hoboken: John Wiley & Sons. Artur Raimundo (2014) The Anatomy of Business Failure: A Qualitative Account of Its Implications for Future Business Success. ResearchGate. Available at: https://www.researchgate.net/publication/318289543_The_anatomy_of_business _failure_A_qualitative_account_of_its_implications_for_future_business_success (Accessed: 25 July 2020). Barth, M.E. and Schipper, K. (2008) ‘Financial Reporting Transparency’. Journal of Accounting, Auditing & Finance, 23(2), pp. 173–190. DOI: 10.1177/0148558X0802300203. Beasley, M.S., Carcello, J.V. and Hermanson, D.R. (2001) ‘Financial Reporting Fraud: Could It Happen to You?’ Journal of Corporate Accounting & Finance, 12(4), pp. 3–9. DOI: 10.1002/jcaf.2402. Bellovary, J.L., Giacomino, D.E. and Akers, M.D. (2007) ‘A Review of Bankruptcy Prediction Studies: 1930 to Present’. Journal of Financial Education, 33, pp. 1–42. Brandon C. Foltz (2015) Statistics 101: Multiple Linear Regression, Dummy Variables. Available at: https://www.youtube.com/watch?v=fTfMdCQJz4s (Accessed: 31 July 2020). Buchner, A., Erdfelder, E. and Faul, F. (2020) Universität Düsseldorf: G Power Manual. Available at: https://www.psychologie.hhu.de/arbeitsgruppen/allgemeine�psychologie-und-arbeitspsychologie/gpower.html (Accessed: 5 August 2020). Cascino, S. et al. (2014) The Use of Information by Capital Providers - Academic Literature Review. Edinburgh: Institute of Chartered Accountants of Scotland : [Distributor] Institute of Chartered Accountants of Scotland. Cohen, J. (1988) Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Hillsdale, N.J: L. Erlbaum Associates. Commentary_-_Company_Insolvency_Statistics_Q4_2019.Pdf. Available at: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/at tachment_data/file/861187/Commentary_- _Company_Insolvency_Statistics_Q4_2019.pdf (Accessed: 26 April 2020). Coyne, J.S. and Singh, S.G. (2008) ‘The Early Indicators of Financial Failure: A Study of Bankrupt and Solvent Health Systems’. Journal of Healthcare Management, 53(5), pp. 333–345. DOI: 10.1097/00115514-200809000-00010. Daubie, M. and Meskens, N. (2002) ‘Business Failure Prediction: A Review and Analysis of the Literature’. In Zopounidis, C. (ed.) New Trends in Banking Management. Contributions to Management Science. Heidelberg: Physica-Verlag HD, pp. 71–86. DOI: 10.1007/978-3-642-57478-8_5. David, C. (2001) ‘Mythmaking in Annual Reports’. Journal of Business and Technical Communication, 15(2), pp. 195–222. DOI: 10.1177/105065190101500203. Deloitte. (2019) Annual Report Insights 2019. Deloitte United Kingdom. Available at: https://www2.deloitte.com/uk/en/pages/audit/articles/annual-report�insights.html (Accessed: 18 June 2020). Desai, V. et al. (2017) ‘A Study of the Relationship between a Going Concern Opinion and Its Financial Distress Metrics’. Journal of Emerging Technologies in Accounting, 14(2), pp. 17–28. DOI: 10.2308/jeta-51933. Evans, J.D. (1996) Straightforward Statistics for the Behavioral Sciences. Belmont, CA, US: Thomson Brooks/Cole Publishing Co. Faul, F. et al. (2009) ‘Statistical Power Analyses Using G*Power 3.1: Tests for Correlation and Regression Analyses’. Behavior Research Methods, 41(4), pp. 1149–1160. DOI: 10.3758/BRM.41.4.1149. Field, A. (2017) Discovering Statistics Using IBM SPSS Statistics. 5th Edition. UK: SAGE Publications Ltd Available at: https://uk.sagepub.com/en-gb/eur/discovering�statistics-using-ibm-spss-statistics/book257672 (Accessed: 7 August 2020). Fuller, J. (2018) What Users of Annual Reports Want?. ACCA. Available at: https://www.accaglobal.com/uk/en/member/member/accounting�business/2018/06/in-focus/annual-reports.html (Accessed: 15 June 2020). Gassen, J. and Schwedler, K. (2010) ‘The Decision Usefulness of Financial Accounting Measurement Concepts: Evidence from an Online Survey of Professional Investors and Their Advisors’. European Accounting Review, 19(3), pp. 495–509. DOI: 10.1080/09638180.2010.496548. Hoffmann, C. and Fieseler, C. (2012) ‘Investor Relations beyond Financials: Non-Financial Factors and Capital Market Image Building’. Corporate Communications An International Journal, 17, pp. 138–155. DOI: 10.1108/13563281211220265. Kasznik, R. and Lev, B. (1995) ‘To Warn or Not to Warn: Management Disclosures in the Face of an Earnings Surprise’. Accounting Review, 70(1), pp. 113–134. Laitinen, E.K. (1993) ‘The Use of Information Contained in Annual Reports and Prediction of Small Business Failures’. International Review of Financial Analysis, 2(3), pp. 155–176. DOI: 10.1016/1057-5219(93)90015-A. Lajili, K. and Zéghal, D. (2010) ‘Corporate Governance and Bankruptcy Filing Decisions’. Journal of General Management, 35(4), pp. 3–26. DOI: 10.1177/030630701003500401. Lehavy, R., Feng Li and Merkley, K. (2011) ‘The Effect of Annual Report Readability on Analyst Following and the Properties of Their Earnings Forecasts’. Accounting Review, 86(3), pp. 1087–1115. DOI: 10.2308/accr.00000043. Li, F., Lundholm, R.J. and Minnis, M. (2012) (ID 1908338) A Measure of Competition Based on 10-K Filings. Rochester, NY: Social Science Research Network DOI: 10.2139/ssrn.1908338. Lord, H.L. (2002) ‘Annual Reports: A Literature Review (1989–2001)’. Journal of Technical Writing and Communication, 32(4), pp. 367–389. DOI: 10.2190/28LM�3HQR-R5QM-FCAU. Lu, Y.-C., Shen, C.-H. and Wei, Y.-C. (2013) ‘Revisiting Early Warning Signals of Corporate Credit Default Using Linguistic Analysis’. Pacific-Basin Finance Journal, 24, pp. 1–21. DOI: 10.1016/j.pacfin.2013.02.002. Moreno, A. and Casasola, A. (2016) ‘A Readability Evolution of Narratives in Annual Reports: A Longitudinal Study of Two Spanish Companies’. Journal of Business and Technical Communication, 30(2), pp. 202–235. DOI: 10.1177/1050651915620233. Ormerod, P. (2005) Why Most Things Fail: Evolution, Extinction and Economics. first edition edition. London: Faber and Faber. Pallant, J. (2010) SPSS Survival Manual: A Step by Step Guide to Data Analysis Using SPSS[ SPSS SURVIVAL MANUAL: A STEP BY STEP GUIDE TO DATA ANALYSIS USING SPSS ] By Pallant, Julie ( Author )Nov-01-2010 Paperback. Open University Press. Pompe, P.P.M. and Bilderbeek, J. (2005) ‘Bankruptcy Prediction: The Influence of the Year Prior to Failure Selected for Model Building and the Effects in a Period of Economic Decline’. Intelligent Systems in Accounting, Finance and Management, 13(2), pp. 95–112. DOI: 10.1002/isaf.259. ReStore. (2011) Model Diagnostics and Checking Your Assumptions. National Centre for Research Methods. Available at: index.html (Accessed: 7 August 2020). Saunders, M.N.K. and Lewis, P. (2017) ‘Choosing Your Research Design’. In Doing Research in Business and Management. Pearson Education Limited. Available at: https://ereader.perlego.com/1/book/955112/11 (Accessed: 24 April 2020). Saunders, M.N.K., Lewis, P. and Thornhill, A. (2009) Research Methods for Business Students. 5th ed. New York: Prentice Hall. SEC. (2003a) Corporation Finance: Issues, Review of Fortune 500 Companies’ Periodic Reports. Available at: https://www.sec.gov/divisions/corpfin/fortune500rep.htm (Accessed: 18 June 2020). SEC. (2003b) Interpretation: Commission Guidance Regarding Management’s Discussion and Analysis of Financial Condition and Results of Operations; Release Nos. 33-8350; 34-48960; FR-72; December 19, 2003. Available at: https://www.sec.gov/rules/interp/33-8350.htm (Accessed: 18 June 2020). Simpson, L. (2000) ‘The Annual Report: An Exercise in Ignorance?’ Accounting Forum, 24(3), p. 231. DOI: 10.1111/1467-6303.00039. Skinner, D.J. (1994) ‘Why Firms Voluntarily Disclose Bad News’. Journal of Accounting Research, 32(1), pp. 38–60. DOI: 10.2307/2491386. Soyode, A. and Ariyo, A. (2014) ‘Adequacy or Inadequacy of Accounting Informaton in Annual Financial Reports: Methodological Analysis’. Journal of Financial Management & Analysis, 27(1), pp. 33–40. Tabachnick, B.G., Fidell, L.S. and Ullman, J.B. (2019) Using Multivariate Statistics. 7th Edition. New York: Pearson. Taber, K.S. (2018) ‘The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education’. Research in Science Education, 48(6), pp. 1273–1296. DOI: 10.1007/s11165-016-9602-2. Tennyson, B.M., Ingram, R.W. and Dugan, M.T. (1990) ‘Assessing the Information Content of Narrative Disclosure in Explaining Bankruptcy’. Journal of Business Finance & Accounting, 17(3), pp. 391–410. UCLA. (2020) Introduction to Regression with SPSS Lesson 2: SPSS Regression Diagnostics. Institute for Digital Research & Education. Available at: https://stats.idre.ucla.edu/spss/seminars/introduction-to-regression-with�spss/introreg-lesson2/ (Accessed: 11 August 2020). Warner, R.M. (2007) ‘Applied Statistics: From Bivariate Through Multivariate Techniques’. White, M.J. (1989) ‘The Corporate Bankruptcy Decision’. Journal of Economic Perspectives, 3(2), pp. 129–151. DOI: 10.1257/jep.3.2.129. Yang, F., Dolar, B. and Mo, L. (2018) ‘Textual Analysis of Corporate Annual Disclosures: A Comparison between Bankrupt and Non-Bankrupt Companies’. Journal of Emerging Technologies in Accounting, 15(1), pp. 45–55. DOI: 10.2308/jeta-52085. citation: Ramirez Silva, Tania Lizeth (2020) The Impact of Annual Report Transparency and Readability on the Use of Business Failure Prediction Models. Masters thesis, Griffith College. document_url: http://go.griffith.ie/484/1/Tania%20Lizeth%20Ramirez%20Silva.pdf document_url: http://go.griffith.ie/484/2/Tania%20Lizeth%20Ramirez%20Silva.txt