Forensic Accounting Education in Public Universities as A Determinant of Career Development for Undergraduates
Keywords:
Forensic Accounting Education, Fraud, Career Development
Taofeek Osidero Agbatogun
E-mail:agbatoguntaofeek@oouagoiwoye.edu.ng
Olabisi Onabanjo University. Ago-Iwoye
Nigeria
https://orcid.org/0000-0002-7393-8134
Oluwasegun Temitayo Odunsi
E-mail: odunsi.oluwasegun@oouagoiwoye.edu.ng
Olabisi Onabanjo University. Ago-Iwoye
Nigeria
https://orcid.org/0009-0009-5621-3658
Matthew Olawale Ogunleke
E-mail: ogunleke87@gmail.com
Tai-Solarin University of Education Ijebu-Ode
Nigeria
ABSTRACT
Fraud has evidently become a global issue, the rate at which it is crippling the business sector and nation in general is alarming as it is as poisonous and deadly as cancer. Research has proven that forensic accounting is rated as the most effective specialised accounting system that can be used to combat fraud. However, it is the least often used out of the available options in accounting system. In Nigeria, there seems to be little or no knowledge of this promising career known as forensic accounting among undergraduates which could help the nations’ bid against corruption. This study therefore aimed at investigating forensic accounting education in public universities as a determinant of career development for undergraduates. The study involved collection of quantitative data. These data were collected from accounting students and accounting academics. The questionnaire served as the survey instruments. The data collected were coded and analysed using appropriate statistical technique and computer software. The study found out that the level of awareness of forensic accounting is relatively low among students and academics. It is in affirmative that inclusion of forensic accounting courses in the curricula will further improve the awareness of forensic accounting. Forensic accounting education will enhance undergraduates’ career development in forensic accounting and concluded that universities in Ogun State are not ready to take up forensic accounting courses. The findings of this study have both theoretical and practical recommendations. Theoretically, it further strengthened the findings of previous studies on intention to use forensic accounting. Practically, there should be manpower development in universities where forensic accounting is being specialised. Also, universities should be mandated to review their curriculum, include relevant courses that will make students knowledgeable on how to combat fraud and employ foreign experts that will teach these courses
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Twenge, J. M., Martin, G. N., & Spitzberg, B. H. (2019). Trends in U.S. adolescents' media use, 1976–2016: The rise of digital media, decline of TV, and the (near) demise of print. Psychology of Popular Media Culture, 8(4), 329–345. https://doi.org/10.1037/ppm0000203
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Baliashvili M., (2014), Fundamentals of Personality Psychology, Tbilisi, (in Georgian).
Todua T., Kartvelishvili I., (2013) “Internet Addiction Research and Its Peculiarities”; GESJ: Computer Science and Telecommunications |No.1 (37)) (in Georgian)
Kirillova N.B., (2014), "HOMO MEDIUM" AS AN OBJECT AND SUBJECT OF THE INFORMATION ERA, Bulletin of the Chelyabinsk State University. No. 17 (346). Philosophy. Sociology. Culturology. Issue 33
Luhmann, N., (2005), Reality of the mass media. M.: PRAKSIS,.S;
Gerrig and Zimbardo, (2002), (in Georgian)
Deflor Dennis, (2009), For Understanding Mass Communication, Georgian Institute of Public Affairs
Bandura A., Walters R. (2002), Subversive aggression. Study of influences of upbringing and family relations. Series: Psychology - XX century, M. April Press
Hold N.I. (2005), The Impact of Mass Information on Aggressive Behavior of Children, Pedagogical Newsletter 20054
Myers, D. (2002), Social Psychology
Salpeter J., (1991), Children and the Computer
Mac-Williams N., (1998), Psychoanalytic Diagnosis. - m. "Class", (in Georgian)
Rosin V.M. (2000), Adolescent cultural activities in the context of modern teen culture // School Technologies. (in Georgian)
Applied Psychology, (2011), Tbilisi, (in Georgian)
Chkhaidze A., (2018), "Age of transition (age development of a child aged 11-18), parent guide", world vision, (in Georgian)
The State of the World's Children 2017 Children in the Digital, (2017), World United Nations Children's Fund (UNICEF) (in Georgian)
Timoshkina I.V., (2017), Finding Psychological Assistance for Adolescents Prone to Deviant Behavior, (in Georgian)
Uznadze D., (2005), Child Psychology (School Age Psychology), Tbilisi, (in Georgian)
Bandura A., (1997), Self-efficacy: the exercise of control, New York: Freeman
Internet Addiction Test (Kulakov, 2004) https://onlinetestpad.com/ kulakov-2004
http://socium.ge/ (Children and computer, Nino Giglemiani)(in Georgian)
Anderson, M., & Jiang, J. (2018). Teens, social media & technology 2018. Pew Research Center. https://www.pewresearch.org/internet/2018/05/31/teens-social-media-technology-2018/
Andreassen, C. S., Pallesen, S., & Griffiths, M. D. (2016). The relationship between addictive use of social media, narcissism, and self-esteem: Findings from a large national survey. Addictive Behaviors, 64, 287–293. https://doi.org/10.1016/j.addbeh.2016.03.006
Bányai, F., Zsila, Á., Király, O., Maraz, A., Elekes, Z., Griffiths, M. D., Andreassen, C. S., & Demetrovics, Z. (2017). Problematic social media use: Results from a large-scale nationally representative adolescent sample. PLOS ONE, 12(1), e0169839. https://doi.org/10.1371/journal.pone.0169839
Beyens, I., Fardouly, J., & Valkenburg, P. M. (2016). Social media use and adolescents' well-being: Developing a typology of person-specific effect patterns. Social Science & Medicine, 168, 89–97.
Billieux, J., Schimmenti, A., Khazaal, Y., Maurage, P., & Heeren, A. (2015). Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research. Journal of Behavioral Addictions, 4(3), 119–123. https://doi.org/10.1556/2006.4.2015.009
Brand, M., Young, K. S., Laier, C., Wölfling, K., & Potenza, M. N. (2016). Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: An Interaction of Person-Affect-Cognition-Execution (I-PACE) model. Neuroscience & Biobehavioral Reviews, 71, 252–266. https://doi.org/10.1016/j.neubiorev.2016.08.033
Burke, M., Marlow, C., & Lento, T. (2010). Social network activity and social well-being. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1909–1912. https://doi.org/10.1145/1753326.1753613
Cacioppo, J. T., & Hawkley, L. C. (2009). Perceived social isolation and cognition. Trends in Cognitive Sciences, 13(10), 447–454. https://doi.org/10.1016/j.tics.2009.06.005
Casey, B. J., Getz, S., & Galvan, A. (2008). The adolescent brain. Developmental Review, 28(1), 62–77. https://doi.org/10.1016/j.dr.2007.08.003
Cheng, C., & Li, A. Y. (2014). Internet addiction prevalence and quality of (real) life: A meta-analysis of 31 nations across seven world regions. Cyberpsychology, Behavior, and Social Networking, 17(12), 755–760. https://doi.org/10.1089/cyber.2014.0317
Chou, C., Condron, L., & Belland, J. C. (2005). A review of the research on Internet addiction. Educational Psychology Review, 17(4), 363–388. https://doi.org/10.1007/s10648-005-8138-1
Coyne, S. M., Rogers, A. A., Zurcher, J. D., Stockdale, L., & Booth, M. (2020). Does time spent using social media impact mental health? An eight year longitudinal study. Computers in Human Behavior, 104, 106160. https://doi.org/10.1016/j.chb.2019.106160
Deci, E. L., & Ryan, R. M. (2000). The 'what' and 'why' of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. https://doi.org/10.1207/S15327965PLI1104_01
Elhai, J. D., Dvorak, R. D., Levine, J. C., & Hall, B. J. (2018). Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology. Journal of Affective Disorders, 207, 251–259. https://doi.org/10.1016/j.jad.2016.08.030
Fardouly, J., Diedrichs, P. C., Vartanian, L. R., & Halliwell, E. (2015). Social comparisons on social media: The impact of Facebook on young women's body image concerns and mood. Body Image, 13, 38–45. https://doi.org/10.1016/j.bodyim.2014.12.002
Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7(2), 117–140. https://doi.org/10.1177/001872675400700202
Haynes, T. (2018). Dopamine, smartphones & you: A battle for your time. Science in the News. Harvard University.
Hormes, J. M., Kearns, B., & Timko, C. A. (2014). Craving Facebook? Behavioral addiction to online social networking and its association with emotion regulation deficits. Addiction, 109(12), 2079–2088. https://doi.org/10.1111/add.12713
Katz, E., Blumler, J. G., & Gurevitch, M. (1973). Uses and gratifications research. Public Opinion Quarterly, 37(4), 509–523. https://doi.org/10.1086/268109
Kircaburun, K., Alhabash, S., Tosuntaş, Ş. B., & Griffiths, M. D. (2019). Uses and gratifications of problematic social media use among university students: A simultaneous examination of the big five of personality traits, social media platforms, and social media use motives. International Journal of Mental Health and Addiction, 18, 525–547. https://doi.org/10.1007/s11469-018-9940-6
Liau, A. K., Khoo, A., & Ang, P. H. (2008). Parental awareness and monitoring of adolescent Internet use. Current Psychology, 27(4), 217–233. https://doi.org/10.1007/s12144-008-9038-6
Marino, C., Gini, G., Vieno, A., & Spada, M. M. (2018). The associations between problematic Facebook use, psychological distress and well-being among adolescents and young adults: A systematic review and meta-analysis. Journal of Affective Disorders, 226, 274–281. https://doi.org/10.1016/j.jad.2017.10.007
Meerkerk, G. J., Van Den Eijnden, R. J., Vermulst, A. A., & Garretsen, H. F. (2009). The Compulsive Internet Use Scale (CIUS): Some psychometric properties. CyberPsychology & Behavior, 12(1), 1–6. https://doi.org/10.1089/cpb.2008.0181
Orben, A., & Przybylski, A. K. (2019). The association between adolescent well-being and digital technology use. Nature Human Behaviour, 3(2), 173–182. https://doi.org/10.1038/s41562-018-0506-1
Panova, T., & Carbonell, X. (2018). Is smartphone addiction really an addiction? Journal of Behavioral Addictions, 7(2), 252–259. https://doi.org/10.1556/2006.7.2018.49
Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29(4), 1841–1848. https://doi.org/10.1016/j.chb.2013.02.014
Przybylski, A. K., & Weinstein, N. (2017). A large-scale test of the Goldilocks hypothesis: Quantifying the relations between digital-screen use and the mental well-being of adolescents. Psychological Science, 28(2), 204–215. https://doi.org/10.1177/0956797616678438
Schou Andreassen, C. (2015). Online social network site addiction: A comprehensive review. Current Addiction Reports, 2(2), 175–184. https://doi.org/10.1007/s40429-015-0056-9
Sherman, L. E., Payton, A. A., Hernandez, L. M., Greenfield, P. M., & Dapretto, M. (2016). The power of the like in adolescence: Effects of peer influence on neural and behavioral responses to social media. Psychological Science, 27(7), 1027–1035. https://doi.org/10.1177/0956797616645673
Spear, L. P. (2013). Adolescent neurodevelopment. Journal of Adolescent Health, 52(2 Suppl 2), S7–S13. https://doi.org/10.1016/j.jadohealth.2012.05.006
Twenge, J. M., & Campbell, W. K. (2019). Media use is linked to lower psychological well-being: Evidence from three datasets. Psychiatric Quarterly, 90, 311–331. https://doi.org/10.1007/s11126-019-09630-7
Twenge, J. M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018). Increases in depressive symptoms, suicide-related outcomes, and suicide rates among U.S. adolescents after 2010 and links to increased new media screen time. Clinical Psychological Science, 6(1), 3–17. https://doi.org/10.1177/2167702617723376
Twenge, J. M., Martin, G. N., & Spitzberg, B. H. (2019). Trends in U.S. adolescents' media use, 1976–2016: The rise of digital media, decline of TV, and the (near) demise of print. Psychology of Popular Media Culture, 8(4), 329–345. https://doi.org/10.1037/ppm0000203
Van den Eijnden, R. J. J. M., Lemmens, J. S., & Valkenburg, P. M. (2016). The Social Media Disorder Scale. Computers in Human Behavior, 61, 478–487. https://doi.org/10.1016/j.chb.2016.03.038
Verduyn, P., Lee, D. S., Park, J., Shablack, H., Orvell, A., Bayer, J., Ybarra, O., Jonides, J., & Kross, E. (2015). Passive Facebook usage undermines affective well-being: Experimental and longitudinal evidence. Journal of Experimental Psychology: General, 144(2), 480–488. https://doi.org/10.1037/xge0000057
Wang, P., Wang, X., Wu, Y., Xie, X., Wang, X., Zhao, F., Lei, L., & Ouyang, M. (2019). Social networking sites addiction and adolescent depression: A moderated mediation model of rumination and self-esteem. Personality and Individual Differences, 127, 162–167. https://doi.org/10.1016/j.paid.2018.02.008
Yau, J. C., & Reich, S. M. (2019). 'It's just a lot of work': Adolescents' self-presentation norms and practices on Facebook and Instagram. Journal of Research on Adolescence, 29(1), 196–209. https://doi.org/10.1111/jora.12376
Yoon, S., Kleinman, M., Mertz, J., & Brannick, M. (2019). Is social network site usage related to depression? A meta-analysis of Facebook-depression relations. Journal of Affective Disorders, 248, 65–72. https://doi.org/10.1016/j.jad.2019.01.026
Published
2026-05-07
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Articles
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