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Year 2020, Volume: 20 Issue: 85, 225 - 246, 05.02.2020

Abstract

References

  • Accounting Education Change Commission (AECC). (1990). Objectives of education for accountants: position statement number one, Issues in Accounting Education, 5(2), 307-12.
  • Albrecht, W. S., & Sack, R. J. (2000). Accounting education: Charting the course through a perilous future (Vol. 16). Sarasota, FL: American Accounting Association.
  • Al-Jalili, M., &Dhanoon, A. (2010). The use of international education standards for the professional accountants in the development of accounting curricula for the bachelor degree in Iraq, Rafidain Development Journal, 32(99), 1-33.
  • AlMotairy, O. S., &Stainbank, L. J. (2014). Compliance with international education standards in Saudi Arabia: Policy and educational implications. Journal of Business Studies Quarterly, 5(4), 5-20
  • American Accounting Association (AAA), (1986), Committee on the Future Structure, Content and Scope of Accounting Education (The Bedford Committee), Future accounting education: Preparing for the expanded profession, Issues in Accounting Education, Vol. 1(1), pp. 168–195.
  • Association to Advance Collegiate Schools of Business (AACSB) (2013), Accounting accreditation standards A6 and A7.
  • Awang, Z. (2015). SEM made simple: a gentle approach to learning Structural Equation Modelling. Bandar BaruBangi: MPWS Rich Publication.
  • Awayiga, J., Onumah, J., &Tsamenyi, M. (2010), Knowledge and skills development of accounting graduates: The perceptions of graduates and employers in Ghana, Accounting Education, Vol. 19(1), pp. 139–158.
  • Bagozzi, R.P.& Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, Vol. 16(1), 74-94
  • Bentler, P. M., &Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological bulletin, 88(3), 588.
  • Bentler, P.M. (1990). Comparatives fit indexes in structural models. Psychological Bulletin, 107: 238-246.
  • Bui, B., et Porter, B. (2010), The expectation performance gap in accounting education: an exploratory study, Accounting Education: An international journal, Vol. 19 (1-2), pp. 23-50.
  • Campbell, D. T. and D. W. Fiske (1959). Convergent and Discriminant Validation by the Multitrait-MultimethodMatrix. Psychological Bulletin, 56, 81-105.
  • Centre for Financial Reporting Reform (CFRR), 2017. Accountancy Education Benchmarking Study: Albania, Bosnia and Herzegovina, Kosovo, Macedonia FYR, Montenegro and Serbia. Available at: http://siteresources.worldbank.org/EXTCENFINREPREF/Resources/41521171427109489814/9765106-1487166467531/benchmarking_study.pdf.
  • Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, Vol. 295(2), 295-336.
  • Cory, S., &Pruske, K. (2012), Necessary skills for accounting graduates: An exploratory study to determine what the profession wants, Proceeds of ASBBS Annual Conference: Las Vegas, Vol. 19, pp. 208–218.
  • do Nascimento, J. C. H. B., & da Silva Macedo, M. A. (2016). Structural Equation Models using Partial Least Squares: an Example of the Application of SmartPLS® in Accounting Research. Revista de Educação e PesquisaemContabilidade, 10(3).
  • Eid Mohamed, Hannah R. Gerber and SlimaneAboulkacem. (2016). Education and the Arab Spring: Resistance, Reform, and Democracy. Sense Publishers, 1-157.
  • Esposito Vinzi, V., Trincheral, L., Squillacciotti, S., & Tenenhaus,M. (2008). REBUS-PLSm A response-based procedure for detecting unit segments in PLS path modeling. Applied Stochastic Models in Business and Industry. 24(5), 439-458.
  • Etikan, I., Musa, S. A., &Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, Vol. 5(1), pp.1-4.
  • F. Hair Jr, J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM) An emerging tool in business research. European Business Review, 26(2), 106-121.
  • Fornell, C.&Lacrker D. F. (1981). Evaluating structural equation models with unobservable and measurement errors. Journal of Marketing Research, Vol. 18(1), 39-50.
  • Freeman, M., Hancock, P., Simpson, L., & Sykes, C. (2008), Business as usual : A collaborative and inclusive investigation of existing resources, strengths, gaps and challenges to be addressed for sustainability in teaching and learning in Australian university business faculties, ABDC Scoping Report, March, pp. 1–54.
  • Frijat, Y. S. A., &Shbeilat, M. K. (2016). Jordanian Universities and Their Role in the Trend towards the Development of Technical Competence for Accounting Learning Outcomes in Line with IES# 2. Accounting and Finance Research, 5(2), 20-31
  • Gammie, B., Gammie, E., & Cargill, E. (2002), Personal skills development in the accounting curriculum, Accounting Education, Vol. 11(1), pp. 63–78.
  • Gyimah-Brempong, K. W. A. B. E. N. A., &Ondiege, P. (2011). Reforming higher education: access, equity, and financing in Botswana, Ethiopia, Kenya, South Africa, and Tunisia. World, 3, 0-20.
  • 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.
  • Hair, Jr., J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010).Multivariate Data Analysis: A global perspective (7th ed.) Upper Saddle River, NJ: Pearson Prentice Hall.
  • Hampton, C. (2015). Estimating and reporting structural equation models with behavioral accounting data. Behavioral Research in Accounting, 27(2), 1–34.
  • Hancock, P., Howieson, B., Kavanagh, M., Kent, J., Tempone, I., Segal, N., & Freeman, M. (2009), The roles of some key stakeholders in the future of accounting education in Australia , Australian Accounting Review, Vol. 19(3), pp. 249–260.
  • Hooper, D., Coughlan, J. & Mullen, M. (2008). Structural equation modelling: guidelines for determining model fit. Electronic Journal of Business Research Methods, Vol. 6(1), 53-60.
  • Howieson, B. (2003), Accounting practice in the new millennium: Is accounting education ready to meet the challenge? , The British Accounting Review, Vol. 35(2), pp. 69–103.
  • International Accounting Education Standards Board (IAES). (2012), Exposure Draft- Proposed International Education Standard (IES) 3. New York: IFAC.
  • International Federation of Accountants (IFAC), (2008), International Accounting Education Standards Board : International Education Standards 1-8. August 2008, New York : IFAC, 1-87.
  • Jackling, B., & De Lange, P. (2009), Do accounting graduates’ skills meet the expectations of employers? A matter of convergence or divergence, Accounting Education, Vol. 18(4), pp. 369–385.
  • Jackling, B., &Keneley, M. (2011), Influence on the supply of accounting graduates in Australia: A focus on international students, Accounting and Finance, Vol. 49(1), pp. 141–160.
  • Johnson, B. and Stevens, J. J. (2001). Confirmatory factor analysis of the school level environment questionnaire (SLEQ). International Journal of Learning Envrionments Research, 4(3), 325-344.
  • Kaiser, H.F. (1974) An index of factorial simplicity. Psychometrika, 39, 31-36.
  • Lin, H. (2008), the development of accounting quality of IAS and IFRS over time: The case of Germany, Journal of International Accounting Research, Vol. 8 (1), pp. 31-55.
  • Lucianelli, G., &Citro, F. (2018). Accounting Education for Professional Accountants: Evidence from Italy. International Journal of Business and Management, 13(8), 1-15.
  • MacCallum, R. C., Browne, M. W. & Sugawara, H., M. (1996). Power analysis and determination of sample size for covariance structure modelling. Psychological Methods, Vol. 1(2), 130-49.
  • Majzoub, S., & Aga, M. (2015). Characterizing the gap between accounting education and practice: evidence from Lebanon. International Journal of Business and Management, 10(12), 127-151.
  • Marshall, M. N. (1996). Sampling for qualitative research. Family practice, 13(6), 522-526.
  • McPeak, D., Pincus, K. V., &Sundem, G. L. (2012), The International Accounting Education Standards Board: Influencing global accounting education, Issues in Accounting Education, Vol. 27(3), pp. 743–750.
  • Milliron, V. C. (2012), Communication skills required by accounting graduates: Practitioner and academic perceptions, Accounting Education, Vol. 6(2), pp. 93–107.
  • Mohamed, E. K. A., &Lashine, S. H. (2003), Accounting knowledge and skills and The challenges of a global business environment, Managerial Finance, Vol. 29(7), pp. 3–16.
  • Needle, J.R. (2010), Implementing a framework for the international transfer of accounting technologies , International Journal of Accounting, education and Research, Vol. 12(1), pp. 45-62.
  • O'Connell, B., Carnegie, G., Carter, A., de Lange, P., Hancock, P., Helliar, C., &Watty, K. (2015). Shaping the future of accounting in business education in Australia. Melbourne, Australia: CPA.
  • OECD (2015), Better Policies Series - Tunisia: a reform agenda to support competitiveness and inclusive growth. OECD Publishing, Available at:https://www.oecd.org/economy/Tunisia-a-reform-agenda-to-support competitiveness-and-inclusive-growth.pdf.
  • Razak, R. A. (2016). Extent to Which University Complies with IES 2 in the Development of Education Plans and Curricula-Case of Saudi Arabian University. Journal of Business StudiesQuarterly, 8(1), 115-128.
  • Roussel P., Durrieu F., Campoy E., et EL Akremi A. (2002) Méthoded’équationsstructurelles: Recherche et applications engestion, Economica
  • Sarstedt, M., Ringle, C. M., Smith, D., Reams, R., & Hair Jr, J. F. (2014). Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers. Journal of Family Business Strategy, 5(1), 105-115.
  • Saville, H. (2007). International education standards for professional accountants (IESs). Accounting Education: An International Journal, 16(1), 107–113.
  • Shevlin, M., & Miles, J. N. (1998). Effects of sample size, model specification and factor loadings on the GFI in confirmatory factor analysis. Personality and Individual differences, Vol. 25(1), 85-90.
  • St Pierre, E. K., &Rebele, J. E. (2014), An agenda for improving accounting education, In R. M. S. Wilson (Ed.), The Routledge companion to accounting education, Oxford : Routledge, pp. 102–121.
  • Streiner. (1994). figuring out factors: the use and misuse of factor analysis. Canadian Journal of Psychiatry, 39(3), pp. 135-140.
  • Sugahara, S., & Wilson, R. (2013). Discourse surrounding the international education standards for professional accountants (IES): a content analysis approach. Accounting Education, 22(3), 213-232.
  • Thompson, A., Fernandez, M., Budnik, S., & Boston, A. (2008), APLG Panel on academia and the accounting profession: The Big 4 respond, Accounting Education, Vol. 23(2), pp. 199–209.
  • Watty, K., Sugahara, S., Abayadeera, N., &Perera, L. (2013). Developing a global model of accounting education and examining IES compliance in Australia, Japan, and Sri Lanka. Accounting Education, 22(5), 502-506.
  • Webb, J., & Chaffer, C. (2016), The expectation performance gap in accounting education: A review of generic skills development in UK accounting degrees, Accounting Education, Vol. 25(4), pp. 349–367.
  • Wheaton, B., Muthen, B., Alwin, D., F. & Summers, G. (1977). Assessing Reliability and Stability in Panel Models. Sociological Methodology, Vol. 8(1), 84-136.
  • Wong, K. K. K. (2013). Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS. Marketing Bulletin, 24(1), 1-32.
  • Yusof, R. N., & Noh, M. M. (2016). Compliance level of international education standards (IES) 2 among the professional accountants bodies. International Journal, 1(2), 58-64.
  • Zenuni, B. R., & Miti, M. U. (2017). Compliance with International Education Standards of Accounting in European Union Countries, the Case of Albania as An Official Candidate for Accession to The EU. European Journal of Social Science Education and Research, 4(6), 92-99.

Compliance of Accounting Education Programs with International Accounting Education Standards: The Case of IES 3 in Tunisia

Year 2020, Volume: 20 Issue: 85, 225 - 246, 05.02.2020

Abstract

Purpose: International literature shows that employability skills of accounting graduates are considered as a major issue in the economies of the 21st. The literature on accounting education shows that little research has been conducted on Arab students in the North Africa region. Studies on accounting education research have used different techniques and methods, but Partial Least Squares–Structural Equation Modeling (PLS-SEM) has gained very little concern. The present study aims to empirically assess the employability skills of accounting graduates under Accounting International Education Standards (IESs) in Tunisia as a MENA country.
Research Methods: In this study, cross-sectional design with a questionnaire survey is adopted to obtain the perception of different respondents. Our study was based on multi-stakeholder analysis and a survey of 419 respondents, including university teachers, professional accountants and recent graduates in Tunisia. PLS-SEM was performed with Lisrel 8.8, using maximum likelihood estimates, to test the hypothesized models.
Findings: The findings showed that the accounting education program in Tunisia allowed the development of intellectual, organizational and general skills significantly. However, interpersonal and communication skills were considered as the weak link of the accounting education program in Tunisia with the agreement of all respondents. In addition, divergent views were noted regarding the ability of the Tunisian accounting education program to develop technical and functional skills and personal skills.
Implications for Research and Practice: These findings have implications for accounting academics in different universities, different employers and the target government authorities as well as the target IFAC member bodies.

References

  • Accounting Education Change Commission (AECC). (1990). Objectives of education for accountants: position statement number one, Issues in Accounting Education, 5(2), 307-12.
  • Albrecht, W. S., & Sack, R. J. (2000). Accounting education: Charting the course through a perilous future (Vol. 16). Sarasota, FL: American Accounting Association.
  • Al-Jalili, M., &Dhanoon, A. (2010). The use of international education standards for the professional accountants in the development of accounting curricula for the bachelor degree in Iraq, Rafidain Development Journal, 32(99), 1-33.
  • AlMotairy, O. S., &Stainbank, L. J. (2014). Compliance with international education standards in Saudi Arabia: Policy and educational implications. Journal of Business Studies Quarterly, 5(4), 5-20
  • American Accounting Association (AAA), (1986), Committee on the Future Structure, Content and Scope of Accounting Education (The Bedford Committee), Future accounting education: Preparing for the expanded profession, Issues in Accounting Education, Vol. 1(1), pp. 168–195.
  • Association to Advance Collegiate Schools of Business (AACSB) (2013), Accounting accreditation standards A6 and A7.
  • Awang, Z. (2015). SEM made simple: a gentle approach to learning Structural Equation Modelling. Bandar BaruBangi: MPWS Rich Publication.
  • Awayiga, J., Onumah, J., &Tsamenyi, M. (2010), Knowledge and skills development of accounting graduates: The perceptions of graduates and employers in Ghana, Accounting Education, Vol. 19(1), pp. 139–158.
  • Bagozzi, R.P.& Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, Vol. 16(1), 74-94
  • Bentler, P. M., &Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological bulletin, 88(3), 588.
  • Bentler, P.M. (1990). Comparatives fit indexes in structural models. Psychological Bulletin, 107: 238-246.
  • Bui, B., et Porter, B. (2010), The expectation performance gap in accounting education: an exploratory study, Accounting Education: An international journal, Vol. 19 (1-2), pp. 23-50.
  • Campbell, D. T. and D. W. Fiske (1959). Convergent and Discriminant Validation by the Multitrait-MultimethodMatrix. Psychological Bulletin, 56, 81-105.
  • Centre for Financial Reporting Reform (CFRR), 2017. Accountancy Education Benchmarking Study: Albania, Bosnia and Herzegovina, Kosovo, Macedonia FYR, Montenegro and Serbia. Available at: http://siteresources.worldbank.org/EXTCENFINREPREF/Resources/41521171427109489814/9765106-1487166467531/benchmarking_study.pdf.
  • Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, Vol. 295(2), 295-336.
  • Cory, S., &Pruske, K. (2012), Necessary skills for accounting graduates: An exploratory study to determine what the profession wants, Proceeds of ASBBS Annual Conference: Las Vegas, Vol. 19, pp. 208–218.
  • do Nascimento, J. C. H. B., & da Silva Macedo, M. A. (2016). Structural Equation Models using Partial Least Squares: an Example of the Application of SmartPLS® in Accounting Research. Revista de Educação e PesquisaemContabilidade, 10(3).
  • Eid Mohamed, Hannah R. Gerber and SlimaneAboulkacem. (2016). Education and the Arab Spring: Resistance, Reform, and Democracy. Sense Publishers, 1-157.
  • Esposito Vinzi, V., Trincheral, L., Squillacciotti, S., & Tenenhaus,M. (2008). REBUS-PLSm A response-based procedure for detecting unit segments in PLS path modeling. Applied Stochastic Models in Business and Industry. 24(5), 439-458.
  • Etikan, I., Musa, S. A., &Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, Vol. 5(1), pp.1-4.
  • F. Hair Jr, J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM) An emerging tool in business research. European Business Review, 26(2), 106-121.
  • Fornell, C.&Lacrker D. F. (1981). Evaluating structural equation models with unobservable and measurement errors. Journal of Marketing Research, Vol. 18(1), 39-50.
  • Freeman, M., Hancock, P., Simpson, L., & Sykes, C. (2008), Business as usual : A collaborative and inclusive investigation of existing resources, strengths, gaps and challenges to be addressed for sustainability in teaching and learning in Australian university business faculties, ABDC Scoping Report, March, pp. 1–54.
  • Frijat, Y. S. A., &Shbeilat, M. K. (2016). Jordanian Universities and Their Role in the Trend towards the Development of Technical Competence for Accounting Learning Outcomes in Line with IES# 2. Accounting and Finance Research, 5(2), 20-31
  • Gammie, B., Gammie, E., & Cargill, E. (2002), Personal skills development in the accounting curriculum, Accounting Education, Vol. 11(1), pp. 63–78.
  • Gyimah-Brempong, K. W. A. B. E. N. A., &Ondiege, P. (2011). Reforming higher education: access, equity, and financing in Botswana, Ethiopia, Kenya, South Africa, and Tunisia. World, 3, 0-20.
  • 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.
  • Hair, Jr., J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010).Multivariate Data Analysis: A global perspective (7th ed.) Upper Saddle River, NJ: Pearson Prentice Hall.
  • Hampton, C. (2015). Estimating and reporting structural equation models with behavioral accounting data. Behavioral Research in Accounting, 27(2), 1–34.
  • Hancock, P., Howieson, B., Kavanagh, M., Kent, J., Tempone, I., Segal, N., & Freeman, M. (2009), The roles of some key stakeholders in the future of accounting education in Australia , Australian Accounting Review, Vol. 19(3), pp. 249–260.
  • Hooper, D., Coughlan, J. & Mullen, M. (2008). Structural equation modelling: guidelines for determining model fit. Electronic Journal of Business Research Methods, Vol. 6(1), 53-60.
  • Howieson, B. (2003), Accounting practice in the new millennium: Is accounting education ready to meet the challenge? , The British Accounting Review, Vol. 35(2), pp. 69–103.
  • International Accounting Education Standards Board (IAES). (2012), Exposure Draft- Proposed International Education Standard (IES) 3. New York: IFAC.
  • International Federation of Accountants (IFAC), (2008), International Accounting Education Standards Board : International Education Standards 1-8. August 2008, New York : IFAC, 1-87.
  • Jackling, B., & De Lange, P. (2009), Do accounting graduates’ skills meet the expectations of employers? A matter of convergence or divergence, Accounting Education, Vol. 18(4), pp. 369–385.
  • Jackling, B., &Keneley, M. (2011), Influence on the supply of accounting graduates in Australia: A focus on international students, Accounting and Finance, Vol. 49(1), pp. 141–160.
  • Johnson, B. and Stevens, J. J. (2001). Confirmatory factor analysis of the school level environment questionnaire (SLEQ). International Journal of Learning Envrionments Research, 4(3), 325-344.
  • Kaiser, H.F. (1974) An index of factorial simplicity. Psychometrika, 39, 31-36.
  • Lin, H. (2008), the development of accounting quality of IAS and IFRS over time: The case of Germany, Journal of International Accounting Research, Vol. 8 (1), pp. 31-55.
  • Lucianelli, G., &Citro, F. (2018). Accounting Education for Professional Accountants: Evidence from Italy. International Journal of Business and Management, 13(8), 1-15.
  • MacCallum, R. C., Browne, M. W. & Sugawara, H., M. (1996). Power analysis and determination of sample size for covariance structure modelling. Psychological Methods, Vol. 1(2), 130-49.
  • Majzoub, S., & Aga, M. (2015). Characterizing the gap between accounting education and practice: evidence from Lebanon. International Journal of Business and Management, 10(12), 127-151.
  • Marshall, M. N. (1996). Sampling for qualitative research. Family practice, 13(6), 522-526.
  • McPeak, D., Pincus, K. V., &Sundem, G. L. (2012), The International Accounting Education Standards Board: Influencing global accounting education, Issues in Accounting Education, Vol. 27(3), pp. 743–750.
  • Milliron, V. C. (2012), Communication skills required by accounting graduates: Practitioner and academic perceptions, Accounting Education, Vol. 6(2), pp. 93–107.
  • Mohamed, E. K. A., &Lashine, S. H. (2003), Accounting knowledge and skills and The challenges of a global business environment, Managerial Finance, Vol. 29(7), pp. 3–16.
  • Needle, J.R. (2010), Implementing a framework for the international transfer of accounting technologies , International Journal of Accounting, education and Research, Vol. 12(1), pp. 45-62.
  • O'Connell, B., Carnegie, G., Carter, A., de Lange, P., Hancock, P., Helliar, C., &Watty, K. (2015). Shaping the future of accounting in business education in Australia. Melbourne, Australia: CPA.
  • OECD (2015), Better Policies Series - Tunisia: a reform agenda to support competitiveness and inclusive growth. OECD Publishing, Available at:https://www.oecd.org/economy/Tunisia-a-reform-agenda-to-support competitiveness-and-inclusive-growth.pdf.
  • Razak, R. A. (2016). Extent to Which University Complies with IES 2 in the Development of Education Plans and Curricula-Case of Saudi Arabian University. Journal of Business StudiesQuarterly, 8(1), 115-128.
  • Roussel P., Durrieu F., Campoy E., et EL Akremi A. (2002) Méthoded’équationsstructurelles: Recherche et applications engestion, Economica
  • Sarstedt, M., Ringle, C. M., Smith, D., Reams, R., & Hair Jr, J. F. (2014). Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers. Journal of Family Business Strategy, 5(1), 105-115.
  • Saville, H. (2007). International education standards for professional accountants (IESs). Accounting Education: An International Journal, 16(1), 107–113.
  • Shevlin, M., & Miles, J. N. (1998). Effects of sample size, model specification and factor loadings on the GFI in confirmatory factor analysis. Personality and Individual differences, Vol. 25(1), 85-90.
  • St Pierre, E. K., &Rebele, J. E. (2014), An agenda for improving accounting education, In R. M. S. Wilson (Ed.), The Routledge companion to accounting education, Oxford : Routledge, pp. 102–121.
  • Streiner. (1994). figuring out factors: the use and misuse of factor analysis. Canadian Journal of Psychiatry, 39(3), pp. 135-140.
  • Sugahara, S., & Wilson, R. (2013). Discourse surrounding the international education standards for professional accountants (IES): a content analysis approach. Accounting Education, 22(3), 213-232.
  • Thompson, A., Fernandez, M., Budnik, S., & Boston, A. (2008), APLG Panel on academia and the accounting profession: The Big 4 respond, Accounting Education, Vol. 23(2), pp. 199–209.
  • Watty, K., Sugahara, S., Abayadeera, N., &Perera, L. (2013). Developing a global model of accounting education and examining IES compliance in Australia, Japan, and Sri Lanka. Accounting Education, 22(5), 502-506.
  • Webb, J., & Chaffer, C. (2016), The expectation performance gap in accounting education: A review of generic skills development in UK accounting degrees, Accounting Education, Vol. 25(4), pp. 349–367.
  • Wheaton, B., Muthen, B., Alwin, D., F. & Summers, G. (1977). Assessing Reliability and Stability in Panel Models. Sociological Methodology, Vol. 8(1), 84-136.
  • Wong, K. K. K. (2013). Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS. Marketing Bulletin, 24(1), 1-32.
  • Yusof, R. N., & Noh, M. M. (2016). Compliance level of international education standards (IES) 2 among the professional accountants bodies. International Journal, 1(2), 58-64.
  • Zenuni, B. R., & Miti, M. U. (2017). Compliance with International Education Standards of Accounting in European Union Countries, the Case of Albania as An Official Candidate for Accession to The EU. European Journal of Social Science Education and Research, 4(6), 92-99.
There are 64 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Youcef Mameche This is me 0000-0001-7329-030X

Mohamed Ali Omrı This is me 0000-0002-2717-3994

Najet Hassıne This is me 0000-0003-3188-3443

Publication Date February 5, 2020
Published in Issue Year 2020 Volume: 20 Issue: 85

Cite

APA Mameche, Y., Omrı, M. A., & Hassıne, N. (2020). Compliance of Accounting Education Programs with International Accounting Education Standards: The Case of IES 3 in Tunisia. Eurasian Journal of Educational Research, 20(85), 225-246.
AMA Mameche Y, Omrı MA, Hassıne N. Compliance of Accounting Education Programs with International Accounting Education Standards: The Case of IES 3 in Tunisia. Eurasian Journal of Educational Research. February 2020;20(85):225-246.
Chicago Mameche, Youcef, Mohamed Ali Omrı, and Najet Hassıne. “Compliance of Accounting Education Programs With International Accounting Education Standards: The Case of IES 3 in Tunisia”. Eurasian Journal of Educational Research 20, no. 85 (February 2020): 225-46.
EndNote Mameche Y, Omrı MA, Hassıne N (February 1, 2020) Compliance of Accounting Education Programs with International Accounting Education Standards: The Case of IES 3 in Tunisia. Eurasian Journal of Educational Research 20 85 225–246.
IEEE Y. Mameche, M. A. Omrı, and N. Hassıne, “Compliance of Accounting Education Programs with International Accounting Education Standards: The Case of IES 3 in Tunisia”, Eurasian Journal of Educational Research, vol. 20, no. 85, pp. 225–246, 2020.
ISNAD Mameche, Youcef et al. “Compliance of Accounting Education Programs With International Accounting Education Standards: The Case of IES 3 in Tunisia”. Eurasian Journal of Educational Research 20/85 (February 2020), 225-246.
JAMA Mameche Y, Omrı MA, Hassıne N. Compliance of Accounting Education Programs with International Accounting Education Standards: The Case of IES 3 in Tunisia. Eurasian Journal of Educational Research. 2020;20:225–246.
MLA Mameche, Youcef et al. “Compliance of Accounting Education Programs With International Accounting Education Standards: The Case of IES 3 in Tunisia”. Eurasian Journal of Educational Research, vol. 20, no. 85, 2020, pp. 225-46.
Vancouver Mameche Y, Omrı MA, Hassıne N. Compliance of Accounting Education Programs with International Accounting Education Standards: The Case of IES 3 in Tunisia. Eurasian Journal of Educational Research. 2020;20(85):225-46.