دانش حسابداری و حسابرسی مدیریت

دانش حسابداری و حسابرسی مدیریت

شناسایی و واکاوی سازه های موثر در گرایش به رفتارهای متقلبانه و افشای تخلف‌ها

نوع مقاله : مقاله پژوهشی

نویسندگان
1 دانشجوی دکترای حسابداری، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران.
2 استاد گروه حسابداری، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران.
3 دانشیار گروه حسابداری، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران.
چکیده
هدف پژوهش شناسایی و واکاوی سازه های کلیدی مؤثر و متقابل در گرایش به رفتارهای متقلبانه و افشای تخلفات از دیدگاه میان رشته ای است. زیرا این گونه رفتارها حسابداران و حسابرسان را در برابر چالش های گوناگونی قرار می دهد. داده های مورد نیاز پژوهش از طریق مطالعات میدانی و سندکاوی گردآوری شدند. برای بررسی میدانی موضوع از دیدگاه متخصصان استفاده گردید. جامعه آماری به روش نمونه‌گیری هدفمند انتخاب و تحلیل داده‌های گردآوری شده نیز از روش تحلیل ساختاری و به وسیله نرم افزار میک مک در سال 1400 انجام شده است. تحلیل داده ها نشان می دهد که در 85 درصد از موارد متغیرهای مورد بررسی روی همدیگر تأثیرگذار و تأثیرپذیر بودند. همچنین متغیرهای مبادله اجتماعی، اعتماد اجتماعی و افشای تخل ها در رتبه های اول تا سوم در روش مستقیم قرار گرفتند. یافته دیگر حاکی از این است که، متغیر کینه توزی به عنوان متغیر تأثیرگذار، متغیر مبادله اجتماعی، اعتماد اجتماعی، دگرآزاری و خودشیفتگی و افشای تخلف‌ها به عنوان ریسک(ناحیه راهبردی)، متغیر صفات تاریک و رفتار متقلبانه به عنوان متغیرهای مستقل و متغیرهای جامعه ستیزی و ماکیاولیسم در ناحیه تأثیرپذیر قرار گرفتند. یافته، بینش ژرف برای درک سازه های مؤثر در گرایش به رفتارهای متقلبانه و افشای تخلف ها برای حسابداران، حسابرسان، سهامداران، ارکان راهبری، نظام‌های نظارتی، استانداردگذاران و بهداشت روانی ارائه می دهد.
کلیدواژه‌ها

عنوان مقاله English

Identifying and analyzing of effective structures influencing fraudulent behavior and whistleblowing of financial misconducts

نویسندگان English

Ganbar heydari 1
Hashem Nikoomaram 2
Hamid Reza Vakili Fard 3
1 Ph. D Student of Accounting, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 Professor of Department of Accounting, Science and Research Branch, Islamic Azad University, Tehran, Iran
3 Associate Professor of Department of Accounting, Science and Research Branch, Islamic Azad University, Tehran, Iran,
چکیده English

The purpose of the research is to identify and analyze effective and reciprocal key structures in the willingness to fraudulent behaviors and whistleblowing of wrongdoings from a interdisciplinary point of view. For the fact that this kind of behavior puts all of us in front of various challenges. The data needed for the research was collected through field and documentary studies. Experts' point of view was used for the field investigation of the subject. The statistical population was selected by purposive/ targeted sampling and the analysis of the collected data was also done by the method of structural analysis and by MicMac software in 2021. The data analysis shows that in 85% of the cases, the variables were influential on each other. Also, the variables of social exchange, social trust and whistleblowing of wrongdoings were ranked first to third in the direct effects ranking method. Another finding detects that the spitefulness variable as an effective variable was placed as a an effective variable, the variables of social exchange, social trust, sadism, narcissism and whistleblowing of wrongdoings were placed as the risk (strategic area), the variable of dark traits and fraudulent behavior were placed as the independent variables, and the variables of psychopathy and Machiavellianism were placed in the impressible area. The finding provides a deep insight to understand the effective structures in the willingness to fraudulent behavior and whistleblowing of wrongdoings for accountants, auditors, shareholders, governing bodies, regulatory systems, standard setters and mental health.

کلیدواژه‌ها English

fraudulent behavior
whistleblowing misconducts
Structural analysis
  • احمدزاده، زاهد، یعقوب­نژاد، احمد، وکیلی­فرد، حمیدرضا. (1400). تاثیر تعهد نسبت به منافع عموم و الزام به استقلال و ارزش­های حرفه­ای (ارزش­های اخلاقی) در موسسات حسابرسی، مجله دانش حسابداری، دوره 12 شماره 2، ص 69-89.
  • عنایت، طاها، مهرانی اردبیلی، محسن، ریحانی کیوی، رامتین، امجدی، بهادر جمالی، یوسف. (1401). رویکرد محاسباتی به نظریه تبادل اجتماعی هومنز. فیزیک، مکانیک آماری و کاربردهای آن، شماره 597، ص 1-36.
  • قاسمی­نژاد، احسان، بنی­مهد، بهمن، بشکوه، مهدی. (1400). تأثیر ویژگی رفتاری فرصت­طلبی بر تردید حرفه­ای حسابرسان مستقل: آزمونی از نظریه روانشناسی شخصیتی. دانش حسابداری، دوره 12 شماره 1، ص 69-89.
  • Adler, P. A., Adler, P. (2012). The epistemology of numbers. How many qualitative interviews is enough, pp. 8-11.
  • Agee, J. (2009). Developing qualitative research questions: A reflective process. International journal of qualitative studies in education, Vol. 22, No. 4, pp. 431-447.
  • Ahmad, M., Tang, X. W., Qiu, J. N., Ahmad, F. (2019). Interpretive structural modeling and MICMAC analysis for identifying and benchmarking significant factors of seismic soil liquefaction. Applied Sciences, Vol. 9, No. 2, pp.1-21.
  • Akinwumi, T. T. Titilayo, A. D., Odianonsen, I. F. (2020). Upper Echelons’ personality Traits and Corporate Earnings Management in Nigeria. Problems and Perspectives in Management, Vol. 18, No. 2, pp. 90-101.
  • Alessandri, G., Filosa, L., Tisak, M. S., Crocetti, E., Crea, G., Avanzi, L. (2020). Moral disengagement and generalized social trust as mediators and moderators of rule-respecting behaviors during the COVID-19 outbreak. Frontiers in Psychology, pp.1-18.
  • Amore, M. D., Garofalo, O., Guerra, A. (2022). How Leaders Influence (un) Ethical Behaviors Within Organizations: A Laboratory Experiment on Reporting Choices. Journal of Business Ethics, pp. 1-16.
  • Ancker, J. S., Benda, N. C., Reddy, M., Unertl, K. M., Veinot, T. (2021). Guidance for publishing qualitative research in informatics. Journal of the American Medical Informatics Association, Vol. 28, No. 12, pp. 2743-2748.
  • Andrew, A., Candy, C., Robin, R. (2022). Detecting Fraudulent Of Financial Statements Using Fraud Score Model And Financial Distress. International Journal of Economics, Business and Accounting Research (IJEBAR), Vol. 6, No. 1, pp. 211-222.
  • Association of Certified Fraud Examiners(ACFE). (2022). Occupational Fraud 2022: A Report to the Nations, pp.1-96.
  • Billet, M. I., Fekken, G. C. (2020). The influence of instrumentality in trusting Dark Triad members. Personality and Individual Differences, Vol .154, No. 9-10, pp.109690.
  • Bucci, E., Carafoli, E. (2022). Scientific Fraud Part I: Definition, General Concepts, Historical Cases. European Review, pp.1-15.
  • Chatziioannou, I., Alvarez-Icaza, L., Bakogiannis, E., Kyriakidis, C., Chias-Becerril, L. (2020). A structural analysis for the categorization of the negative externalities of transport and the hierarchical organization of sustainable mobility’s strategies. Sustainability, Vol. 12, No. 15, pp.1-27.
  • Chen, S., Cai, W., Jebran, K. (2021). Does social trust mitigate earnings management? Evidence from China. Emerging Markets Finance and Trade, Vol. 57, No. 1, pp. 2995-3016.
  • Diller, S. J., Czibor, A., Szabó, Z. P., Restás, P., Jonas, E., & Frey, D. (2021). The positive connection between dark triad traits and leadership levels in self-and other-ratings. Leadership, Education, Personality: An Interdisciplinary Journal, Vol. 3, No. 2, pp. 117-131.
  • Dungan, J. A., Young, L., Waytz, A. (2019). The power of moral concerns in predicting whistleblowing decisions. Journal of Experimental Social Psychology, pp. 85,1-12.
  • Fleming, C. J., Bodkin, C. P. (2022). Non-compliant Managers, Judging Citizens: An Experiment of Motives, Identities, and Public Reaction to Bureaucratic Rule Breaking. Public Integrity, pp.1-18.
  • Frollová, N., Vranka, M., Houdek, P. (2021). A qualitative study of perception of a dishonesty experiment. Journal of Economic Methodology, Vol. 28, No. 3, pp. 274-290.
  • Garcia, D. (2020). How “dirty” is the Dark Triad? Dark character profiles, swearing, and sociosexuality. PeerJ, pp. 8, 1-18.
  • Godet, M. Durance, P. and Gerber, A. (2008). Strategic Foresight La Prospective Use and Misuse of Scenario Building, Paris, France. ‏
  • Gong, T., Wang, C. Y. (2022). The effects of a psychological contract breach on customer-directed deviance. Journal of Business Research, 138, pp. 374-386.
  • González-Díaz, R. R., Bustamante-Cabrera, G. I. (2021). Predictive Sequential Research Design to Study Complex Social Phenomena. Entropy, Vol. 23, No. 5, pp. 1-13.
  • Greene, R. W., Horvath, D., Browning, L. (2021). Truth-Telling and Organizational Democracy: The Rhetoric of Whistleblowing as an Act of Parrhesia. In Whistleblowing, Communication and Consequences (pp. 31-45). Routledge.
  • Harrison, A., Summers, J., Mennecke, B. (2018). The effects of the dark triad on unethical behavior. Journal of Business Ethics, Vol. 153, No. 1, pp. 53-77.
  • Hassan S., Kaur, P., Muchiri, M., Ogbonnaya, C., Dhir, A. (2022). Unethical leadership: Review, synthesis and directions for future research. Journal of Business Ethics, pp. 1-40.
  • Herda, D. N., Lavelle, J. J. (2022). How and why auditors’ social exchange relationships influence their attitudes and behaviors: Implications for audit quality. Business Horizons, Vol. 65, No. 3, pp. 245-447.
  • Hongxin, W., Khan, M. A., Zhenqiang, J., Cismaș, L. M., Ali, M. A., Saleem, U., Negruț, L. (2022). Unleashing the Role of CSR and Employees’ Pro-Environmental Behavior for Organizational Success: The Role of Connectedness to Nature. Sustainability, Vol. 14, No. 16, pp. 1-22.
  • Houdek, P. (2020). Fraud and understanding the moral mind: Need for implementation of organizational characteristics into behavioral ethics. Science and Engineering Ethics, Vol. 26, No. 2, pp. 691-707.
  • Hutchison, E. D. (2018). Dimensions of human behavior: The changing life course. SAGE publications.
  • Jones D. N., Mueller, S. M. (2021). Is Machiavellianism dead or dormant? The perils of researching a secretive construct. Journal of Business Ethics, pp.1-15.
  • Junger, M., Wang, V., Schlömer, M. (2020). Fraud against businesses both online and offline: crime scripts, business characteristics, efforts, and benefits. Crime science, Vol. 9, No. 1, pp. 1-15.
  • Karpoff, J. M. (2021). The future of financial fraud. Journal of Corporate Finance, Vol. 66, pp. 1-13.
  • Koechlin, L. (2022). Social Capital or Corruption? On Corruption, pp. 66-91
  • Lakens, D. (2022). Sample size justification. Collabra: Psychology, Vol. 8, No. 1, pp. 1-28.
  • Lee, J., Ramamoorti, S., Zelazny, L. (2021). Whistleblowing Intentions for Internal Auditors: Why Psychological Safety Is Critically Important. The CPA Journal, Vol. 91, No. 8/9, pp. 46-51.
  • Lokanan, M. E., Sharma, K. (2022). Fraud prediction using machine learning: The case of investment advisors in Canada. Machine Learning with Applications, Vol. 8, pp. 1-12.
  • Mocănașu, D. R. (2020). Determining the sample size in qualitative research. In International Multidisciplinary Scientific Conference on the Dialogue between Sciences & Arts, Religion & Education. Ideas Forum International Academic and Scientific Association, Vol. 4, No. 1, pp. 181-187.
  • Moore, J. (2020). Occupational Fraud Models: A Comparative Analysis and Proposed Expanded Model. Int J Account Res, Vol. 4, pp. 1-5
  • Moshagen M, Hilbig B E, Zettler I. (2018). The dark core of personality. Psychological review, Vol. 125, No. 5, pp. 656-688.
  • Moshagen, M., Zettler, I., Hilbig, B. E. (2020). Measuring the dark core of personality. Psychological Assessment, Vol. 32, No. 2, pp. 182-196.
  • Mutschmann, M., Hasso, T., Pelster, M. (2021). Dark triad managerial personality and financial reporting manipulation. Journal of Business Ethics, pp. 1-26.
  • Ogbonna, H. O., Mbah, C. S. (2022). Examining Social Exchange Theory and Social Change in the Works of George Caspar Homans–Implications for the State and Global Inequalities in the World Economic Order. Mediterranean Journal of Social Sciences, Vol. 13, No. 1, pp. 90-105.
  • Ogunfowora, B. T., Nguyen, V. Q., Steel, P., Hwang, C. C. (2022). A meta-analytic investigation of the antecedents, theoretical correlates, and consequences of moral disengagement at work. Journal of Applied Psychology, Vol. 107, No. 5, pp. 746-774.
  • Othman, R., Ameer, R. (2022). In employees we Trust: Employee fraud in small businesses. Journal of Management Control, pp. 1-25.
  • Özesmi, U. and Özesmi, S.L. (2004) ‘Ecological models based on people’s knowledge: a multi-step fuzzy cognitive mapping approach’, Ecological Modelling, Vol. 176, No. 1, pp.43–64.
  • Paulhus, D. L. and at al. (2020). Screening for dark personalities: The Short Dark Tetrad (SD4). European Journal of Psycholog-ical Assessment, Vol. 37, No. 3, pp. 208-222.
  • Putri, W. W. K., Rahayu, Y. P., & Ajuni, A. (2021). Dark Triad Personality as a Predictor of the Corrupt Intention of the State Civil Apparatus in District X. Journal of Educational, Health and Community Psychology, Vol. 10, No. 2, pp. 376-399.
  • Quayle, A. (2021). Whistleblowing and accounting for the public interest: a call for new directions. Accounting, Auditing & Accountability Journal. Vol. 34, No. 7, pp. 1555-1580.
  • Rashid, M., Khan, N.U., Riaz, U. and Burton, B. (2022), "Auditors' perspectives on financial fraud in Pakistan – audacity and the need for legitimacy", Journal of Accounting in Emerging Economies, pp.1-40.
  • Rauthmann, J. F. (2021). Capturing interactions, correlations, fits, and transactions: A person-environment relations model. In The handbook of personality dynamics and processes (pp. 427-522). Academic Press.
  • Reurink, A. (2018). Financial fraud: a literature review. Journal of Economic Surveys, Vol. 32, No. 5, pp. 1292-1325.
  • Russo, D., Masegosa, A. R., Stol, K. J. (2022). From anecdote to evidence: the relationship between personality and need for cognition of developers. Empirical Software Engineering, Vol. 27, No. 3, pp. 1-29.
  • Sánchez-Aguayo, M., Urquiza-Aguiar, L., Estrada-Jiménez, J. (2021). Fraud Detection Using the Fraud Triangle Theory and Data Mining Techniques: A Literature Review. Computers, Vol. 10, No. 10, pp. 1-22.
  • Sayal, K., Singh, G. (2020). What role does human behaviour play in corporate frauds? Econ. Political Wkly, Vol. 55, pp. 1-8.
  • Schultz, D. P., Schultz, S. E. (2017). Theories of personality. Cengage Learning.‏
  • Ścigała, K. A., Schild, C., Zettler, I. (2020). Dishonesty as a signal of trustworthiness: Honesty-Humility and trustworthy dishonesty. Royal Society Open Science, Vol. 7, No. 10, pp. 1-14.
  • Set, Z. (2020). Social malicious personalities: The dark triad. Psikiyatride Guncel Yaklasimlar, Vol. 12, No. 3, pp. 318-329.
  • Sharma, S., Singh, G., Gaur, L., Sharma, R. (2022). Does Psychological Distance and Religiosity Influence Fraudulent Customer Behavior? International Journal of Consumer Studies.1-20.
  • Smead, R., Forber, P. (2016). The coevolution of recognition and social behavior. Scientific reports, Vol. 6, No. 1, pp. 1-10.
  • Staller, K. M. (2021). Big enough? Sampling in qualitative inquiry. Qualitative Social Work, Vol. 20, No. 4, pp. 897-904.
  • Staller, K. M. (2022). Confusing questions in qualitative inquiry: Research, interview, and analysis. Qualitative Social Work, Vol. 21, No. 2, pp. 227-237.
  • Taylor, E. Z., Curtis, M. B. (2018). Mentoring: A path to prosocial behavior. Journal of Business Ethics, Vol. 152, No. 4, pp. 1133-1148.
  • Thomas, A., Gupta, V. (2021). Social capital theory, social exchange theory, social cognitive theory, financial literacy, and the role of knowledge sharing as a moderator in enhancing financial well-being: from bibliometric analysis to a conceptual framework model. Frontiers in Psychology, Vol. 12, pp.1-16.
  • Verwey, I. G., Asare, S. K. (2022). The joint effect of ethical idealism and trait skepticism on auditors’ fraud detection. Journal of Business Ethics, Vol. 176, No. 2, pp. 381-395.
  • Wahyuni, L., Chariri, A., Yuyetta, E. A. (2021). Whistleblowing intention: Theory of planned behavior perspectives. The Journal of Asian Finance, Economics, and Business, Vol. 8, No. 1, pp. 335-341.
  • Xiuguo, W., Shengyong, D. (2022). An Analysis on Financial Statement Fraud Detection for Chinese Listed Companies Using Deep Learning. IEEE Access, Vol. 10, pp. 22516-22532.
  • Zettler, I., Moshagen, M., Hilbig, B. E., (2021), Stability and change: The dark factor of personality shapes dark traits, Social Psychological and Personality Science, Vol. 12, No. 6, pp. 974-983.