آذرسعید، یاشار؛ رستمی، شعیب (1402). هوش مصنوعی و تصمیمگیری اخلاقی در حسابداری و حسابرسی: تحلیل چالشهای مرتبط. قضاوت و تصمیمگیری در حسابداری، 2 (3)، 87- 114.
پورعلی، محمدرضا؛ تونی، فاطمه (1392). نقش حسابرسان در توسعه اقتصاد کشور. اولین کنفرانس بینالمللی حماسه سیاسی (با رویکردی بر تحولات خاورمیانه) و حماسه اقتصادی (با رویکردی بر مدیریت و حسابداری)، تهران، رودهن، 24 بهمن 1392.
زارع، حمید؛ حاجیها، زهره، کیقبادی، امیررضا (1403). بررسی تأثیر استفاده از هوش مصنوعی در حسابرسی بر فرایند کیفیت حسابرسی صورتهای مالی. پژوهشهای حسابرسی حرفهای، 4(16)، 38- 65.
Abdolmohammadi, M.J. & Shanteau, J. (1992). Personal attributes of expert auditors.
Organizational Behavior and Human Decision Processes, 53(2), 158-172.
https://doi.org/10.1016/0749-5978(92)90060-K.
Acemoglu, D. & Restrepo, P. (2017). Robots and jobs: evidence from US labor markets (No. w23285).
National Bureau of Economic Research, 10, w23285.
https://doi.org/10.3386/w23285
Agrawal, A., Gans, J. S. & Goldfarb, A. (2019). Artificial intelligence: the ambiguous labor market impact of automating prediction.
Journal of Economic Perspectives, 33(2), 31-50.
https://doi.org/10.1257/jep.33.2.31
Anh, N. T. M., Hoa, L. T. K., Thao, L. P., Nhi, D. A., Long, N. T., Truc, N. T. & Ngoc Xuan, V. (2024). The effect of technology readiness on adopting artificial intelligence in accounting and auditing in Vietnam.
Journal of Risk and Financial Management, 17(1), 27.
https://doi.org/10.3390/jrfm17010027
Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation.
Journal of economic perspectives, 29(3), 3-30.
https://doi.org/10.1257/jep.29.3.3
Bao, Y., Hilary, G. & Ke, B. (2022). Artificial intelligence and fraud detection.
Innovative Technology at the Interface of Finance and Operations, 1, 223-247.
https://doi.org/10.1007/978-3-030-75729-8_8
Bello, O. A. & Olufemi, K. (2024). Artificial intelligence in fraud prevention: Exploring techniques and applications challenges and opportunities.
Computer Science & IT Research Journal, 5(6),
https://doi.org/1505-1520. 10.51594/csitrj.v5i6.1252
Beveridge, W. H. (2014). Full employment in a free society (Works of William H. Beveridge): a report. Routledge.
Blustein, D. L., Thompson, M. N., Kozan, S. & Allan, B. A. (2021). Intersecting losses and integrative practices: Work and mental health during the COVID-19 era and beyond.
Professional Psychology: Research and Practice, 52(5), 523.
https://doi.org/10.1037/pro0000425
Booyse, D. & Scheepers, C. B. (2024). Barriers to adopting automated organisational decision-making through the use of artificial intelligence.
Management Research Review, 47(1), 64-85.
https://doi.org/10.1108/mrr-09-2021-0701
Cheah, J. H., Sarstedt, M., Ringle, C. M., Ramayah, T. & Ting, H. (2018). Convergent validity assessment of formatively measured constructs in PLS-SEM: On using single-item versus multi-item measures in redundancy analyses.
International journal of contemporary hospitality management, 30(11), 3192-3210.
https://doi.org/10.1108/ijchm-10-2017-0649
Cho, O. H. (2024). Analysis of the Impact of Artificial Intelligence Applications on the Development of Accounting Industry.
Nanotechnology Perceptions, 74-83.
https://doi.org/10.62441/nano-ntp.vi.390
DiMaggio, P.J. & Powell, W.W. (1983) The Iron Cage Revisited: Institutional Isomorphism and Collective Rationality in Organizational Fields.
American Sociological Review, 48, 147-160.
https://doi.org/10.2307/2095101
Easton, D. (1951). The decline of modern political theory.
The Journal of Politics, 13(1), 36-58.
https://doi.org/10.2307/2126121
Frey, C. B. & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation?
Technological forecasting and social change, 114, 254-280.
https://doi.org/10.1016/j.techfore.2016.08.019
Gans, H.J. (1962). The urban villagers: Group and class in the life of Italian-Americans.
Hair, J.F., Jr, Hult, G.T.M., Ringle, C.M., Sarstedt, M., Danks, N.P. & Ray, S. (2021).
Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook, Springer Nature, Cham.
https://doi.org/10.1007/978-3-030-80519-7
Hair, J.F., Jr, Sarstedt, M., Ringle, C.M. & Gudergan, S.P. (2017). Advanced Issues in Partial Least Squares Structural Equation Modeling, Sage publications, London.
Heji, A. E., Alansari, O. E. & Al-Sartawi, A. (2023). Artificial intelligence and its impact on accounting systems.
In Artificial Intelligence, Internet of Things, and Society 5.0 (pp. 363-376). Cham: Springer Nature Switzerland.
https://doi.org/10.1007/978-3-031-43300-9_30
Howcroft, D. & Taylor, P. (2023). Automation and the future of work: A social shaping of technology approach.
New Technology, Work and Employment, 38(2), 351-370.
https://doi.org/10.1111/ntwe.12240
Hu, L. T. & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives.
Structural equation modeling: a multidisciplinary journal, 6(1), 1-55.
https://doi.org/10.1080/10705519909540118
Keynes, J. M. (1930). Economic possibilities for our grandchildren. In Essays in persuasion (pp. 321-332). London: Palgrave Macmillan UK.
Lasswell, H. D. (1970). The emerging conception of the policy sciences.
Policy sciences, 1(1), 3-14.
https://www.jstor.org/stable/4531369
Lehner, O. M., Ittonen, K., Silvola, H., Ström, E. & Wührleitner, A. (2022). Artificial intelligence-based decision-making in accounting and auditing: ethical challenges and normative thinking.
Accounting, Auditing & Accountability Journal, 35(9), 109-135.
https://doi.org/10.1108/AAAJ-09-2020-4934
Li, Z. & Zheng, L. (2018, September). The impact of artificial intelligence on accounting.
In 2018 4th International Conference on Social Science and Higher Education (ICSSHE 2018). Atlantis Press.
https://doi.org/10.2991/icsshe-18.2018.203
Lindbeck, A. (1999). Unemployment-structural. IIES.
Maitoza, R. (2019). Family challenges created by unemployment.
Journal of Family Social Work, 22(2), 187-205.
https://doi.org/10.1080/10522158.2018.1558430
Manyika, J., Lund, S., Chui, M., Bughin, J., Woetzel, J., Batra, P., Ko, R. & Sanghvi, S. (2017). Jobs lost, jobs gained: What the future of work will mean for jobs, skills, and wages.
Mediana, A. M. & Sandari, T. E. (2024). Implementation of Artificial Intelligence in Fraud Detection and Prevention in Internal Audit: (Case Study in the Banking Sector). International Journal of Education, Social Studies, And Management (IJESSM), 4(3), 1230-1237.
Merritt, H. (2017). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies.
Denarius, (33), 235-239.
https://doi.org/10.1080/14697688.2014.946440
Moher, D., Liberati, A., Tetzlaff, J. & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ, 339.
Moradi, M., Salehi, M. & Mozan, S. (2022). The effect of different types of intelligence on organizational performance.
The TQM Journal, 34(6), 1976-2015.
https://doi.org/10.1108/tqm-03-2021-0071
Muniandy, S., Batcha, N. K. & Rubasundram, G. A. (2022). Deep learning in detecting financial statement fraud: an application of deep neural network (DNN).
In Artificial Intelligence and Big Data for Financial Risk Management (pp. 45-66). Routledge.
https://doi.org/10.4324/9781003144410-4
Oyeniyi, L. D., Ugochukwu, C. E. & Mhlongo, N. Z. (2024). The influence of AI on financial reporting quality: A critical review and analysis. World Journal of Advanced Research and Reviews, 22(1), 679-694.
Pfeffer, J. & Salancik, G. (2015). External control of organizations—Resource dependence perspective. In Organizational behavior 2 (pp. 355-370). Routledge.
Psacharopoulos, G. (1994). Returns to investment in education: a global update.
World Development, 22(9), 1325-1343.
https://doi.org/10.1016/0305-750X(94)90007-8
Ramachandran, K. K., Mary, A. A. S., Hawladar, S., Asokk, D., Bhaskar, B. & Pitroda, J. R. (2022). Machine learning and role of artificial intelligence in optimizing work performance and employee behavior.
Materials Today: Proceedings, 51, 2327-2331.
https://doi.org/10.1016/j.matpr.2021.11.544
Rawashdeh, A., Abaalkhail, L. and Bakhit, M. (2023). A two-stage SEM-artificial neural network analysis of the organizational effects of internet of things adoption in auditing firms.
Decision Science Letters, 12(2), 255-266.
https://doi.org/10.5267/j.dsl.2023.1.009
Sharma, M. & Sehgal, M. L. (2023). The revolutionary computer technology artificial intelligence that is changing our world & its impact on different jobs.
International Journal for Research in Applied Science and Engineering Technology, 11(4), 286-293.
https://doi.org/10.22214/ijraset.2023.50072
Skinner, B.F. (1965), Science and Human Behavior, Simon and Schuster, London.
Smith, P. & Waldeau, N. (2021). Artificial intelligence in workforce.
European Scholar Journal (ESJ), 2(5).
https://ssrn.com/abstract=3935419
Supriadi, I. (2024). The audit revolution: Integrating artificial intelligence in detecting accounting fraud.
Akuntansi dan Teknologi Informasi, 17(1), 48-61.
https://doi.org/10.24123/jati.v17i1.6279
Wilson, W. J. (1991). Studying inner-city social dislocations: The challenge of public agenda research: 1990 presidential address.
American Sociological Review, 1-14.
https://doi.org/10.2307/2095669
Zhang, Y., Xiong, F., Xie, Y., Fan, X., & Gu, H. (2020). The impact of artificial intelligence and blockchain on the accounting profession.
Ieee Access, 8, 110461-110477.
https://doi.org/10.1109/ACCESS.2020.3000505