stdClass Object ( [id] => 7836 [paper_index] => EW201903-01-002721 [title] => THE IMPACT OF ACCOUNTING SOFTWARE UTILIZATION ON STUDENTS’ PERFORMANCE: SPECIAL REFERENCE TO UNIVERSITY OF KELANIYA, SRI LANKA [description] =>
  1. Albrecht, W.S. and Sack, R.J. (2001) “The perilous future of accounting education”, The CPA Journal, Vol. 71 No. 3, pp. 16-23.
  2. Al-Khadash, H.A., & Al-Bishtawi, S. (2010). “The impact of accounting software utilization on accounting students perceived skills”, Journal of Euro,144-147.
  3. Auyeung, P.K. and Sands, D.F. (1994), “Predicting success in first-year university accounting using gender based learning analysis”, Accounting Education: An International Journal, Vol. 3 No. 3, pp. 259-72.
  4. Boulianne, E. (2012), “Impact of accounting software utilization on student’s knowledge acquisition”, Journal of Accounting and Organizational Change, Vol.10, No. 1, Pp: 22-48.
  5. Boyce, G. (1999) “Computer assisted teaching and learning in accounting: pedagogy or product?”, Journal of Accounting Education, Vol. 17 Nos 2-3, pp. 191-220.
  6. Doran, B.M., Bouillon, M.L. and Smith, C.G. (1991), “Determinants of student performance in accounting principles I and II, issues”, Accounting Education: An International Journal, Vol. 6 No. 1, pp. 74-84.
  7. Elliott, R.K. (1997) Assurance Service Opportunities: Implications for Academia.  Accounting Horizons, 11(4) December, 61-74.
  8. Eskew, R., and R. Faley. (1988),” Some determinants of student performance in the first collegelevel financial accounting course”, The Accounting Review, 63 (1) (January): 137-147.
  9. Geiger, M. A. (1989).” Teaching accounting concept versus applications: an analysis of student attitudes.”, The Accounting Educators’ Journal 2(2) (Winter):69-82
  10. Gracia, L. and Jenkins, E. (2003), “Quantitative exploration of student performance on an undergraduate accounting programme of study”, Accounting Education: An International Journal, Vol. 12 No. 1, pp. 15-32.
  11. Gul, F. A. & Fong, S. C. C. (1993). “Predicting success for introductory accounting students: some further Hong Kong evidence”. Accounting Education, 2(1), 33-42.
  12. Halabi, A. K., Tuovinen, J. E., and Farley, A. A., (2005), “Empirical evidence on the relative efficiency of worked examples versus problem-solving exercises in accounting principles instruction”, Issues in Accounting Education 20 (01), 21-32.
  13. Hurt, B. (2007), “Teaching what matters: a new conception of accounting education”, Journal of Education for Business, Vol. 82 No. 5, pp. 295-299.
  14. Kalbers, L.P. (1999),” Student Performance in Introductory Accounting: A Multi-Sample, Multi-Model”, Accounting Educators Journal, Volume XI
  15. Kanapathippillai, S., Hasheem, A.S., & Dellaportas, S. (2012). “The impact of a computerized consolidation accounting package (CCAP)on student performance”, Asian Review of Accounting, Vol.20 No. 1, pp. 4-19. 
  16. Kharuddin, S., Zariyawati, M., Annuar, M. N., (2010),” Information system and firms’ performance: the case of Malaysian Small medium enterprises”, International business research, 3 (4).
  17. Mcdowall T, Jackling B(2007),” The Impact of Computer-Assisted Learning on Academic Grades: An Assessment of Students' Perceptions”, pp. 377-389
  18. McDowall, T. and Jackling, B. (2006), “The impact of computer-assisted learning on academic grades: an assessment of students’ perceptions”, Accounting Education: An International Journal, Vol. 15 No. 4, pp. 377-389.
  19. Paisey, C. and Paisey, N.J. (2010), “Comparative research: an opportunity for accounting researchers to learn from other professions”, Journal of Accounting & Organizational Changes, Vol. 6 No. 2, pp. 180-199.
  20. Schuman, H., Walsh, E., Olson, C., & Etheridge, B. (1985).  Effort and reward: the assumption that college grades are affected by quantity of study.  Social Forces, 63(4), 945-966.
  21. Shaftel, J. & Shaftel, T. (2005).  The influence of effective teaching in accounting on student attitudes, behavior, and performance.  Issues in Accounting Education, 20(3), 231246.
  22. Spady, W. G. (1970). “Dropouts from higher education; an interdisciplinary review and synthesis”. Interchange 1:64–85
  23. Sriwidharmanely and Syafrudin, V. (2012)” An empirical study of Accounting Software Acceptance among Bengkulu City students”, Asian journal of Accounting and governance, Vol 3: 99–112
  24. Tho, L.M. (1994), “Some evidence on the determination of student performance in the University of Malaya introductory accounting course”, Accounting Education: An International Journal, Vol. 3 No. 4, pp. 331-40.
  25. Tickell, G. and Smyrnios, K.X. (2005), “Predictors of tertiary accounting students’ academic performance: a comparison of year 12 to university students with TAFE to university students”, Journal of Higher Education Policy and Management, Vol. 27 No. 2, pp. 239-59.
  26. Wooten, T. C. (1998). Factors influencing student learning in introductory accounting classes: a comparison of traditional and nontraditional students.  Issues in Accounting Education, 13(2), 357-373.
  27. www.Business-Software.com
[author] => G. C. S Chandrapala [googlescholar] => https://scholar.google.co.in/citations?user=KeqZGcIAAAAJ&hl=en [doi] => [year] => 2019 [month] => March [volume] => 7 [issue] => 3 [file] => eprapub/EW201903-01-002721.pdf [abstract] =>

 This study attempted to investigate the impact of Accounting software utilization on students’ performance: Special reference to University of Kelaniya, Sri Lanka. The primary data were collected through the structured questionnaire by using random sampling technique from 125 Bachelor of Business Management Accounting Specialization Undergraduates of University of Kelaniya. Students’ performance was considered as dependent variable with other six proxies, such as prior knowledge in accounting, attitudes towards using accounting software, study habits, perceived usefulness, prior experiences in computer literacy and gender, under the independent variable of accounting software utilization. Collected data were analyzed by using Statistical Package for Social Science version 20, whereby the demographic data were analyzed by descriptive statistics while the hypotheses are tested by using multiple liner regression analysis. The results of the multiple regression analysis revealed that out of six independent variables all are significant with the students’ performance except gender. And only study habits have the negative impact on students’ performance. The results of this study are expected to bring insights to undergraduates and academic staff of University of Kelaniya such that they can better tailor to utilization of Accounting Software to increase students’ performance.

KEYWORDS- Accounting software, Accounting specialization undergraduate, Students’ performance

[keywords] => [doj] => [hit] => 4560 [status] => [award_status] => P [orderr] => 2 [journal_id] => 4 [googlesearch_link] => [edit_on] => [is_status] => 1 [journalname] => EPRA International Journal of Economic and Business Review(JEBR) [short_code] => IJES [eissn] => 2347-9671 (O), 2349-0187(P) [pissn] => [home_page_wrapper] => images/products_image/12.JEBR.png ) Error fetching PDF file.