Is Neuroaccounting Taking a Place on the Stage? A Review of the Influence of Neuroscience on Accounting Research

References

• Ackert, L. F., Church, B. K., & Zhang, P. (2018). Informed traders’ performance and the information environment: Evidence from experimental asset markets. Accounting, Organizations and Society, 70, 1–15. https://doi.org/https://doi.org/10.1016/j.aos.2018.04.002
   Web of Science ®Google Scholar
• Adolphs, R. (2003). Cognitive neuroscience of human social behaviour. Nature Reviews Neuroscience, 4(3), 165–178. https://doi.org/https://doi.org/10.1038/nrn1056
   PubMed Web of Science ®Google Scholar
• Alewine, H. C., & Miller, T. C. (2016). How balanced scorecard format and reputation related to environmental objectives influence performance evaluations. Advances in Management Accounting, 27, 123–165. https://doi.org/https://doi.org/10.1108/S1474-787120160000027004
   Google Scholar
• Asay, S. H. (2018). Horizon-induced optimism as a gateway to earnings management. Contemporary Accounting Research, 35(1), 7–30. https://doi.org/https://doi.org/10.1111/1911-3846.12388
   Web of Science ®Google Scholar
• Australian Business Deans Council (ABDC). (2019). Master journal list. Retrieved November 18, 2020, from https://abdc.edu.au/research/abdc-journal-list/
   Google Scholar
• Bailey, C. D. (2015). Psychopathy, academic accountants’ attitudes toward unethical research practices, and publication success. The Accounting Review, 90(4), 1307–1332. https://doi.org/https://doi.org/10.2308/accr-50970
   Web of Science ®Google Scholar
• Bailey, C. D., & Fessler, N. J. (2011). The moderating effects of task complexity and task attractiveness on the impact of monetary incentives in repeated tasks. Journal of Management Accounting Research, 23(1), 189–210. https://doi.org/https://doi.org/10.2308/jmar-10104
   Google Scholar
• Barberis, N. C. (2013). Thirty years of prospect theory in economics: A review and assessment. Journal of Economic Perspectives, 27(1), 173–196. https://doi.org/https://doi.org/10.1257/jep.27.1.173
   Web of Science ®Google Scholar
• Barth, M. E. (2018). How international accounting research influences policy and standard setting. Journal of International Accounting Research, 17(2), 1–11. https://doi.org/https://doi.org/10.2308/jiar-10634
   Web of Science ®Google Scholar
• Barton, J., Berns, G. S., & Brooks, A. M. (2014). The neuroscience behind the stock market’s reaction to corporate earnings news. The Accounting Review, 89(6), 1945–1977. https://doi.org/https://doi.org/10.2308/accr-50841
   Web of Science ®Google Scholar
• Basu, S., Kirk, M., & Waymire, G. (2009). Memory, transaction records, and the wealth of nations. Accounting, Organizations and Society, 34(8), 895–917. https://doi.org/https://doi.org/10.1016/j.aos.2009.07.002
   Web of Science ®Google Scholar
• Basu, S., & Waymire, G. B. (2006). Recordkeeping and human evolution. Accounting Horizons, 20(3), 201–229. https://doi.org/https://doi.org/10.2308/acch.2006.20.3.201
   Google Scholar
• Basu, S., & Waymire, G. B. (2018). The economic value of debits=credits. Working paper, Temple University, Emory University, and Chapman University. Retrieved March 22, 2020, from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3093303
   Google Scholar
• Baumeister, R. F., & Leary, M. R. (1997). Writing narrative literature reviews. Review of General Psychology, 1(3), 311–320. https://doi.org/https://doi.org/10.1037/1089-2680.1.3.311
   Google Scholar
• Baxter, R. J., & Hunton, J. E. (2011). Capturing affect via the experience sampling method: Prospects for accounting information systems researchers. International Journal of Accounting Information Systems, 12(2), 90–98. https://doi.org/https://doi.org/10.1016/j.accinf.2010.12.002
   Google Scholar
• Birnberg, J. G. (2011). A proposed framework for behavioral accounting research. Behavioral Research in Accounting, 23(1), 1–43. https://doi.org/https://doi.org/10.2308/bria.2011.23.1.1
   Google Scholar
• Birnberg, J. G., & Ganguly, A. R. (2012). Is neuroaccounting waiting in the wings? An essay. Accounting, Organizations and Society, 37(1), 1–13. https://doi.org/https://doi.org/10.1016/j.aos.2011.11.004
   Web of Science ®Google Scholar
• Birnberg, J. G., & Zhang, Y. (2011). When betrayal aversion meets loss aversion: The effects of changes in economic conditions on internal control system choices. Journal of Management Accounting Research, 23(1), 169–187. https://doi.org/https://doi.org/10.2308/jmar-10087
   Google Scholar
• Blay, A., Douthit, J., & Fulmer, B. (2019). Why don’t people lie? Negative affect intensity and preferences for honesty in budgetary reporting. Management Accounting Research, 42, 56–65. https://doi.org/https://doi.org/10.1016/j.mar.2018.05.001
   Web of Science ®Google Scholar
• Bloom, F. E. (2013). Chapter 1: Fundamentals of neuroscience. In L. R. Squire, D. Berg, F. E. Bloom, S. du Lac, A. Ghosh, & N. D. Spitzer (Eds.), Fundamental neuroscience, Fourth Edition (pp. 3–13). Academic Press.
   Google Scholar
• Bressler, S. L., & Menon, V. (2010). Large-scale brain networks in cognition: Emerging methods and principles. Trends in Cognitive Sciences, 14(6), 277–290. https://doi.org/https://doi.org/10.1016/j.tics.2010.04.004
   PubMed Web of Science ®Google Scholar
• Brewster, B. E. (2016). The effect of client lies on auditor memory resistance and false memory acceptance. Auditing, 35(3), 33–50. https://doi.org/https://doi.org/10.2308/ajpt-51461
   Web of Science ®Google Scholar
• Brown, J. L., Farrington, S., & Sprinkle, G. B. (2016). Biased self-assessments, feedback, and employees’ compensation plan choices. Accounting, Organizations and Society, 54, 45–59. https://doi.org/https://doi.org/10.1016/j.aos.2016.08.003
   Web of Science ®Google Scholar
• Brown, J. L., & Moser, D. V. (2017). Does investors’ desire to punish misreporting affect their litigation decisions and managers’ and investors’ welfare? Behavioral Research in Accounting, 29(1), 57–75. https://doi.org/https://doi.org/10.2308/bria-51559
   Web of Science ®Google Scholar
• Brown, J. W. (2009). Conflict effects without conflict in anterior cingulate cortex: Multiple response effects and context specific representations. NeuroImage, 47(1), 334–341. https://doi.org/https://doi.org/10.1016/j.neuroimage.2009.04.034
   PubMed Web of Science ®Google Scholar
• Brown, R., & Brignall, S. (2007). Reflections on the use of a dual-methodology research design to evaluate accounting and management practice in UK university central administrative services. Management Accounting Research, 18(1), 32–48. https://doi.org/https://doi.org/10.1016/j.mar.2006.07.001
   Google Scholar
• Brown, T., Grant, S. M., & Winn, A. M. (2019). The effect of mobile device use and headline focus on investor judgments. Accounting, Organizations and Society, in press. https://doi.org/https://doi.org/10.1016/j.aos.2019.101100
   Google Scholar
• Brüggen, A., Feichter, C., & Williamson, M. G. (2018). The effect of input and output targets for routine tasks on creative task performance. The Accounting Review, 93(1), 29–43. https://doi.org/https://doi.org/10.2308/accr-51781
   Web of Science ®Google Scholar
• Buchheit, S., Dalton, D. W., Pollard, T. J., & Stinson, S. R. (2019). Crowdsourcing intelligent research participants: A student versus MTurk comparison. Behavioral Research in Accounting, 31(2), 93–106. https://doi.org/https://doi.org/10.2308/bria-52340
   Web of Science ®Google Scholar
• Bunge, S. A., & Kahn, I. (2009). Cognition: An overview of neuroimaging techniques. In L. R. Squire (Ed.), Encyclopedia of neuroscience (pp. 1063–1067). Academic Press.
   Google Scholar
• Bunge, S. A., & Souza, M. J. (2009). Executive function and higher-order cognition: Neuroimaging. In L. R. Squire (Ed.), Encyclopedia of neuroscience (pp. 111–116). Academic Press.
   Google Scholar
• Burton, F. G. (2012). Discussion of a cross-cultural study of the influence of country of origin, justice, power distance, and gender on ethical decision making. Journal of International Accounting Research, 11(1), 35–44. https://doi.org/https://doi.org/10.2308/jiar-10222
   Google Scholar
• Butler, S. A., & Ghosh, D. (2015). Individual differences in managerial accounting judgments and decision making. The British Accounting Review, 47(1), 33–45. https://doi.org/https://doi.org/10.1016/j.bar.2014.09.002
   Web of Science ®Google Scholar
• Camara, E., Rodriguez-Fornells, A., Ye, Z., & Münte, T. F. (2009). Reward networks in the brain as captured by connectivity measures. Frontiers in Neuroscience, 3(3), 350–362. https://doi.org/https://doi.org/10.3389/neuro.01.034.2009
   PubMed Web of Science ®Google Scholar
• Camerer, C., Loewenstein, G., & Prelec, D. (2005). Neuroeconomics: How neuroscience can inform economics. Journal of Economic Literature, 43(1), 9–64. https://doi.org/https://doi.org/10.1257/0022051053737843
   Web of Science ®Google Scholar
• Campbell, D., McPhail, K., & Slack, R. (2009). Face work in annual reports. Accounting, Auditing & Accountability Journal, 22(6), 907–932. https://doi.org/https://doi.org/10.1108/09513570910980463
   Google Scholar
• Capps, G., Koonce, L., & Petroni, K. R. (2016). Natural optimism in financial reporting: A state of mind. Accounting Horizons, 30(1), 79–91. https://doi.org/https://doi.org/10.2308/acch-51277
   Web of Science ®Google Scholar
• Cazier, R. A., & Pfeiffer, R. J. (2017). 10-K disclosure repetition and managerial reporting incentives. Journal of Financial Reporting, 2(1), 107–131. https://doi.org/https://doi.org/10.2308/jfir-51912
   Web of Science ®Google Scholar
• Cen, L., Hilary, G., & Wei, K. C. J. (2013). The role of anchoring bias in the equity market: Evidence from analysts’ earnings forecasts and stock returns. Journal of Financial and Quantitative Analysis, 48(1), 47–76. https://doi.org/https://doi.org/10.1017/S0022109012000609
   Web of Science ®Google Scholar
• Chakhovich, T., & McGoun, E. G. (2016). Why grids in accounting? Critical Perspectives on Accounting, 34, 36–59. https://doi.org/https://doi.org/10.1016/j.cpa.2015.06.003
   Web of Science ®Google Scholar
• Chartered Association of Business Schools. (2018). Academic journal guide. Retrieved November 18, 2020, from https://charteredabs.org/academic-journal-guide-2018/
   Google Scholar
• Chen, Q., Kelly, K., & Salterio, S. E. (2012). Do changes in audit actions and attitudes consistent with increased auditor scepticism deter aggressive earnings management? An experimental investigation. Accounting, Organizations and Society, 37(2), 95–115. https://doi.org/https://doi.org/10.1016/j.aos.2011.11.001
   Web of Science ®Google Scholar
• Chen, Y., Jermias, J., & Panggabean, T. (2016). The role of visual attention in the managerial judgment of balanced-scorecard performance evaluation: Insights from using an eye-tracking device. Journal of Accounting Research, 54(1), 113–146. https://doi.org/https://doi.org/10.1111/1475-679X.12102
   Web of Science ®Google Scholar
• Church, B. K., Hannan, R. L., & Kuang, X. J. (2014). Information acquisition and opportunistic behavior in managerial reporting. Contemporary Accounting Research, 31(2), 398–419. https://doi.org/https://doi.org/10.1111/1911-3846.12036
   Web of Science ®Google Scholar
• Church, B. K., Peytcheva, M., Yu, W., & Singtokul, O.-A. (2015). Perspective taking in auditor–manager interactions: An experimental investigation of auditor behavior. Accounting, Organizations and Society, 45, 40–51. https://doi.org/https://doi.org/10.1016/j.aos.2015.07.001
   Web of Science ®Google Scholar
• Coady, P., Byrne, S., & Casey, J. (2018). Positioning of emotional intelligence skills within the overall skillset of practice-based accountants: Employer and graduate requirements. Accounting Education, 27(1), 94–120. https://doi.org/https://doi.org/10.1080/09639284.2017.1384741
   Web of Science ®Google Scholar
• Critchley, H. D., Elliott, R., Mathias, C. J., & Dolan, R. J. (2000). Neural activity relating to generation and representation of galvanic skin conductance responses: A functional magnetic imaging study. The Journal of Neuroscience, 20(8), 3033–3040. https://doi.org/https://doi.org/10.1523/JNEUROSCI.20-08-03033.2000
   PubMed Web of Science ®Google Scholar
• Damasio, A. (2007). Neuroscience and ethics: Intersections. The American Journal of Bioethics, 7(1), 3–7. https://doi.org/https://doi.org/10.1080/15265160601063910
   PubMed Web of Science ®Google Scholar
• Daumoser, C., Hirsch, B., & Sohn, M. (2018). Honesty in budgeting: A review of morality and control aspects in the budgetary slack literature. Journal of Management Control, 29(2), 115–159. https://doi.org/https://doi.org/10.1007/s00187-018-0267-z
   Web of Science ®Google Scholar
• Davis, K. L., & Montag, C. (2019). Selected principles of Pankseppian affective neuroscience. Frontiers in Neuroscience, 12, 1025. https://doi.org/https://doi.org/10.3389/fnins.2018.01025
   PubMed Web of Science ®Google Scholar
• Demski, J. S., & Feltham, G. A. (1976). Cost determination: A conceptual approach. Iowa State University Press.
   Google Scholar
• Dickhaut, J. (2009). The brain as the original accounting institution. The Accounting Review, 84(6), 1703–1712. https://doi.org/https://doi.org/10.2308/accr.2009.84.6.1703
   Web of Science ®Google Scholar
• Dickhaut, J., Basu, S., McCabe, K., & Waymire, G. B. (2010). Neuroaccounting: Consilience between the biologically evolved brain and culturally evolved accounting principles. Accounting Horizons, 24(2), 221–255. https://doi.org/https://doi.org/10.2308/acch.2010.24.2.221
   Web of Science ®Google Scholar
• Dickhaut, J., Basu, S., McCabe, K., & Waymire, G. B. (January, 2009a). Neuroaccounting, part I: The primate brain and reciprocal exchange. Working paper, Chapman University, Temple University, George Mason University, and Emory University. Retrieved March 22, 2020, from http://ssrn.com/abstract=1336526
   Google Scholar
• Dickhaut, J., Basu, S., McCabe, K., & Waymire, G. B. (January, 2009b). Neuroaccounting, part II: Consilience between accounting principles and the primate brain. Working paper, Chapman University, Temple University, George Mason University, and Emory University. Retrieved March 22, 2020, from http://ssrn.com/abstract=1336517
   Google Scholar
• Dyckman, T. R., & Zeff, S. A. (2015). Accounting research: Past, present, and future. Abacus, 51(4), 511–524. https://doi.org/https://doi.org/10.1111/abac.12058
   Web of Science ®Google Scholar
• Eskenazi, P. I. (2015). The accountable animal naturalising the management control problem. (Dissertation). ERIM.
   Google Scholar
• Eskenazi, P. I., Hartmann, F. G. H., & Rietdijk, W. J. R. (2016). Why controllers compromise on their fiduciary duties: EEG evidence on the role of the human mirror neuron system. Accounting, Organizations and Society, 50, 41–50. https://doi.org/https://doi.org/10.1016/j.aos.2016.02.003
   Web of Science ®Google Scholar
• Farrell, A. M., Goh, J. O., & White, B. J. (2014). The effect of performance-based incentive contracts on system 1 and system 2 processing in affective decision contexts: fMRI and behavioral evidence. The Accounting Review, 89(6), 1979–2010. https://doi.org/https://doi.org/10.2308/accr-50852
   Web of Science ®Google Scholar
• Fehrenbacher, D. D., Kaplan, S. E., & Pedell, B. (2017). The relation between individual characteristics and compensation contract selection. Management Accounting Research, 34, 1–18. https://doi.org/https://doi.org/10.1016/j.mar.2016.06.001
   Web of Science ®Google Scholar
• Fehrenbacher, D. D., Schulz, A. K.-D., & Rotaru, K. (2018). The moderating role of decision mode in subjective performance evaluation. Management Accounting Research, 41, 1–10. https://doi.org/https://doi.org/10.1016/j.mar.2018.03.001
   Web of Science ®Google Scholar
• Fiorillo, C. D., Tobler, P. N., & Schultz, W. (2003). Discrete coding of reward probability and uncertainty by dopamine neurons. Science, 299(5614), 1898–1902. https://doi.org/https://doi.org/10.1126/science.1077349
   PubMed Web of Science ®Google Scholar
• Frederickson, J. R., & Zolotoy, L. (2016). Competing earnings announcements: Which announcement do investors process first? The Accounting Review, 91(2), 441–462. https://doi.org/https://doi.org/10.2308/accr-51190
   Web of Science ®Google Scholar
• German Academic Association of Business Research (VHB – Verband der Hochschullehrer für Betriebswirtschaft). (2015). JourQual 3. Retrieved November 18, 2020, from https://vhbonline.org/en/vhb4you/vhb-jourqual/vhb-jourqual-3
   Google Scholar
• Glimcher, P. W., Camerer, C. F., & Fehr, E. ( Eds.). (2009). Neuroeconomics: Decision making and the brain. London: Elsevier.
   Google Scholar
• Gold, A., Gronewold, U., & Salterio, S. E. (2014). Error management in audit firms: Error climate, type, and originator. The Accounting Review, 89(1), 303–330. https://doi.org/https://doi.org/10.2308/accr-50592
   Web of Science ®Google Scholar
• Grabski, S. V., Leech, S. A., & Schmidt, P. J. (2011). A review of ERP research: A future agenda for accounting information systems. Journal of Information Systems, 25(1), 37–78. https://doi.org/https://doi.org/10.2308/jis.2011.25.1.37
   Google Scholar
• Grigg, L., & Griffin, A. L. (2014). A role for eye-tracking research in accounting and financial reporting? In M. Horsley (Ed.), Current trends in eye tracking research ( Vol. 35, pp. 225–230). Cham, Switzerland: Springer.
   Google Scholar
• Hamilton, E. L., & Winchel, J. (2019). Investors’ processing of financial communications: A persuasion perspective. Behavioral Research in Accounting, 31(1), 133–156. https://doi.org/https://doi.org/10.2308/bria-52211
   Web of Science ®Google Scholar
• HassabElnaby, H. R., Abdel-Maksoud, A., & Said, A. (2017). Debt covenant violation and earnings management: A neuroscience approach and future directions – A research note. Advances in Accounting Behavioral Research, 20, 63–78. https://doi.org/https://doi.org/10.1108/S1475-148820170000020003
   Google Scholar
• Hasselback, J., Reinstein, A., & Abdolmohammadi, M. (2012). Benchmarking the research productivity of accounting doctorates. Issues in Accounting Education, 27(4), 943–978. https://doi.org/https://doi.org/10.2308/iace-50253
   Google Scholar
• He, X., Yin, H., Zeng, Y., Zhang, H., & Zhao, H. (2019). Facial structure and achievement drive: Evidence from financial analysts. Journal of Accounting Research, 57(4), 1013–1057. https://doi.org/https://doi.org/10.1111/1475-679X.12259
   Web of Science ®Google Scholar
• Hecht, G., Tafkov, I., & Towry, K. L. (2012). Performance spillover in a multitask environment. Contemporary Accounting Research, 29(2), 563–589. https://doi.org/https://doi.org/10.1111/j.1911-3846.2011.01114.x
   Web of Science ®Google Scholar
• Henry, E., & Peytcheva, M. (2019). Joint effects of boilerplate and text markup on the judgments of novice and experienced users of financial information. Behavioral Research in Accounting, in press. https://doi.org/https://doi.org/10.2308/bria-52582
   Google Scholar
• Hsiao, S. S., Fitzgerald, P. J., Thakur, P. H., Denchev, P., & Yoshioka, T. (2009). Somatosensory receptive fields. In L. R. Squire (Ed.), Encyclopedia of neuroscience (pp. 111–119). Academic Press.
   Google Scholar
• Hsieh, T.-S., Kim, J.-B., Wang, R., & Wang, Z. (2019). Seeing is believing? Executives’ facial trustworthiness, auditor tenure, and audit fees. Journal of Accounting and Economics, in press. https://doi.org/https://doi.org/10.1016/j.jacceco.2019.101260
   Google Scholar
• Huang, L., & Murad, Z. (2019). Feedback spillover effect on competitiveness across unrelated tasks. Behavioral Research in Accounting, in press. https://doi.org/https://doi.org/10.2308/bria-52583
   Google Scholar
• Huang, X., Nekrasov, A., & Teoh, S. H. (2018). Headline salience, managerial opportunism, and over- and underreactions to earnings. The Accounting Review, 93(6), 231–255. https://doi.org/https://doi.org/10.2308/accr-52010
   Web of Science ®Google Scholar
• Hurley, P. J. (2015). Ego depletion: Applications and implications for auditing research. Journal of Accounting Literature, 35, 47–76. https://doi.org/https://doi.org/10.1016/j.acclit.2015.10.001
   Web of Science ®Google Scholar
• Hutchison, R. M., Womelsdorf, T., Allen, E. A., Bandettini, P. A., Calhoun, V. D., Corbetta, M., Della Penna, S., Duyn, J. H., Glover, G. H., Gonzalez-Castillo, J., Handwerker, D. A., Keilholz, S., Kiviniemi, V., Leopold, D. A., de Pasquale, F., Sporns, O., Walter, M., & Chang, C. (2013). Dynamic functional connectivity: Promise, issues, and interpretations. NeuroImage, 80, 360–378. https://doi.org/https://doi.org/10.1016/j.neuroimage.2013.05.079
   PubMed Web of Science ®Google Scholar
• Ji, X.-d., & Lu, W. (2013). The evolution of bookkeeping methods in China: A Darwinist analysis of developments during the twentieth-century. Accounting History, 18(3), 317–341. https://doi.org/https://doi.org/10.1177/1032373213489872
   Google Scholar
• Jia, Y., van Lent, L., & Zeng, Y. (2014). Masculinity, testosterone, and financial misreporting. Journal of Accounting Research, 52(5), 1195–1246. https://doi.org/https://doi.org/10.1111/1475-679X.12065
   Web of Science ®Google Scholar
• Jimenez, P., & Iyer, G. S. (2016). Tax compliance in a social setting: The influence of social norms, trust in government, and perceived fairness on taxpayer compliance. Advances in Accounting, 34, 17–26. https://doi.org/https://doi.org/10.1016/j.adiac.2016.07.001
   Web of Science ®Google Scholar
• Kachelmeier, S. J., Majors, T., & Williamson, M. G. (2014). Does intent modify risk-based auditing? The Accounting Review, 89(6), 2181–2201. https://doi.org/https://doi.org/10.2308/accr-50835
   Web of Science ®Google Scholar
• Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291. https://doi.org/https://doi.org/10.2307/1914185
   Web of Science ®Google Scholar
• Kang, Y. J., Piercey, M. D., & Trotman, A. (2019). Does an audit judgment rule increase or decrease auditors’ use of innovative audit procedures? Contemporary Accounting Research, in press. https://doi.org/https://doi.org/10.1111/1911-3846.12509
   Google Scholar
• Kida, T. E., Moreno, K. K., & Smith, J. F. (2001). The influence of affect on managers’ capital-budgeting decisions. Contemporary Accounting Research, 18(3), 477–494. https://doi.org/https://doi.org/10.1506/CPKU-R1DW-VW7M-U158
   Web of Science ®Google Scholar
• Kida, T. E., & Smith, J. F. (1995). The encoding and retrieval of numerical data for decision making in accounting contexts: Model development. Accounting, Organizations and Society, 20(7/8), 585–610. https://doi.org/https://doi.org/10.1016/0361-3682(95)00014-Z
   Web of Science ®Google Scholar
• Kim, S., & Harding, N. (2017). The effect of a superior’s perceived expertise on the predecisional distortion of evidence by auditors. Auditing, 36(1), 109–127. https://doi.org/https://doi.org/10.2308/ajpt-51508
   Web of Science ®Google Scholar
• Knutson, B., Adams, C. M., Fong, G. W., & Hommer, D. (2001). Anticipation of increasing monetary reward selectively recruits nucleus accumbens. The Journal of Neuroscience, 21(16), RC159 1-5. https://doi.org/https://doi.org/10.1523/JNEUROSCI.21-16-j0002.2001
   Web of Science ®Google Scholar
• Knutson, B., Delgado, M. R., & Phillips, P. E. M. (2009). Representation of subjective value in the striatum. In P. W. Glimcher, C. F. Camerer, & E. Fehr (Eds.), Neuroeconomics: Decision making and the brain (pp. 389–406). Elsevier.
   Google Scholar
• Kowler, E. (2009). Attention and eye movements. In L. R. Squire (Ed.), Encyclopedia of neuroscience (pp. 605–616). Academic Press.
   Google Scholar
• Kramer, S., & Maas, V. S. (2019). Selective attention as a determinant of escalation bias in subjective performance evaluation judgments. Behavioral Research in Accounting, in press. https://doi.org/https://doi.org/10.2308/bria-18-021
   Google Scholar
• Kuang, Y. F., Lee, G., & Qin, B. (2019). Does government report readability matter? Evidence from market reactions to AAERs. Journal of Accounting and Public Policy, in press. https://doi.org/https://doi.org/10.1016/j.jaccpubpol.2019.106697
   Google Scholar
• Kuhnen, C. M., & Knutson, B. (2011). The influence of affect on beliefs, preferences, and financial decisions. Journal of Financial and Quantitative Analysis, 46(3), 605–626. https://doi.org/https://doi.org/10.1017/S0022109011000123
   Web of Science ®Google Scholar
• Leiby, J., & Madsen, P. E. (2017). Margin of safety: Life history strategies and the effects of socioeconomic status on self-selection into accounting. Accounting, Organizations and Society, 60, 21–36. https://doi.org/https://doi.org/10.1016/j.aos.2017.07.001
   Web of Science ®Google Scholar
• Lister, R. J. (2010). A role for the compulsory study of literature in accounting education. Accounting Education, 19(4), 329–343. https://doi.org/https://doi.org/10.1080/09639280903285920
   Google Scholar
• Liu, J., & Liu, C. (2007). Value relevance of accounting information in different stock market segments: The case of Chinese A-, B-, and H-shares. Journal of International Accounting Research, 6(2), 55–81. https://doi.org/https://doi.org/10.2308/jiar.2007.6.2.55
   Google Scholar
• Lo, K., & Wu, S. S. (2018). The impact of seasonal affective disorder on financial analysts. The Accounting Review, 93(4), 309–333. https://doi.org/https://doi.org/10.2308/accr-51953
   Web of Science ®Google Scholar
• Loftus, S., & Tanlu, L. (2018). Because of “because”: Examining the Use of causal language in relative performance feedback. The Accounting Review, 93(2), 277–297. https://doi.org/https://doi.org/10.2308/accr-51830
   Web of Science ®Google Scholar
• Lynch, E. J., & Andiola, L. M. (2019). If eyes are the window to our soul, what role does eye tracking play in accounting research? Behavioral Research in Accounting, 31(2), 107–133. https://doi.org/https://doi.org/10.2308/bria-52283
   Web of Science ®Google Scholar
• Maas, V. S., & van Rinsum, M. (2013). How control system design influences performance misreporting. Journal of Accounting Research, 51(5), 1159–1186. https://doi.org/https://doi.org/10.1111/1475-679X.12025
   Web of Science ®Google Scholar
• Maas, V. S., van Rinsum, M., & Towry, K. L. (2012). In search of informed discretion: An experimental investigation of fairness and trust reciprocity. The Accounting Review, 87(2), 617–644. https://doi.org/https://doi.org/10.2308/accr-10205
   Web of Science ®Google Scholar
• Madsen, J. M., & McMullin, J. L. (2019). Economic consequences of risk disclosures: Evidence from crowdfunding. The Accounting Review, in press. https://doi.org/https://doi.org/10.2308/accr-52641
   Google Scholar
• Majors, T. M. (2016). The interaction of communicating measurement uncertainty and the dark triad on managers’ reporting decisions. The Accounting Review, 91(3), 973–992. https://doi.org/https://doi.org/10.2308/accr-51276
   Web of Science ®Google Scholar
• Martin, R. (2019). Examination and implications of experimental research on investor perceptions. Journal of Accounting Literature, 43, 145–169. https://doi.org/https://doi.org/10.1016/j.acclit.2019.11.001
   Web of Science ®Google Scholar
• Mayhew, B. W., & Murphy, P. R. (2014). The impact of authority on reporting behavior, rationalization and affect. Contemporary Accounting Research, 31(2), 420–443. https://doi.org/https://doi.org/10.1111/1911-3846.12037
   Web of Science ®Google Scholar
• Miao, B., Teoh, S. H., & Zhu, Z. (2016). Limited attention, statement of cash flow disclosure, and the valuation of accruals. Review of Accounting Studies, 21(2), 473–515. https://doi.org/https://doi.org/10.1007/s11142-016-9357-z
   Web of Science ®Google Scholar
• Michels, J. (2017). Disclosure versus recognition: Inferences from subsequent events. Journal of Accounting Research, 55(1), 3–34. https://doi.org/https://doi.org/10.1111/1475-679X.12128
   Web of Science ®Google Scholar
• Millar, M., White, R., & Zheng, X. (2019). Substance abuse and workplace fraud: Evidence from physicians. Working paper, Baylor University, Arizona State University, and University of British Columbia. Retrieved March 22, 2020, from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3147938
   Google Scholar
• Moher, D., Liberati, A., Tetzlaff, J., Altmnan, D. G., & the PRISMA Group. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Annals of Internal Medicine, 151(4), 264–269. https://doi.org/https://doi.org/10.7326/0003-4819-151-4-200908180-00135
   PubMed Web of Science ®Google Scholar
• Moreno, K., Bhattacharjee, S., & Brandon, D. (2007). The effectiveness of alternative training techniques on analytical procedures performance. Contemporary Accounting Research, 24(3), 983–1014. https://doi.org/https://doi.org/10.1506/car.24.3.11
   Web of Science ®Google Scholar
• Murphy, P. R. (2012). Attitude, machiavellianism and the rationalization of misreporting. Accounting, Organizations and Society, 37(4), 242–259. https://doi.org/https://doi.org/10.1016/j.aos.2012.04.002
   Web of Science ®Google Scholar
• Murphy, T., O’Connell, V., & Ó hÓgartaigh, C. (2013). Discourses surrounding the evolution of the IASB/FASB conceptual framework: What they reveal about the “living law” of accounting. Accounting, Organizations and Society, 38(1), 72–91. https://doi.org/https://doi.org/10.1016/j.aos.2012.07.003
   Web of Science ®Google Scholar
• Münte, T. F., Altenmüller, E., & Jäncke, L. (2002). The musician’s brain as a model of neuroplasticity. Nature Reviews Neuroscience, 3(6), 473–478. https://doi.org/https://doi.org/10.1038/nrn843
   PubMed Web of Science ®Google Scholar
• Nagar, V., Rajan, M. V., & Ray, K. (2018). An information-based model for the differential treatment of gains and losses. Review of Accounting Studies, 23(2), 622–653. https://doi.org/https://doi.org/10.1007/s11142-018-9443-5
   Web of Science ®Google Scholar
• National Institute of Child Health and Human Development. (2018). Neuroscience Fact Sheet. U.S. Department of Health and Human Services. Retrieved November 18, 2020, from https://www.nichd.nih.gov/health/topics/factsheets/neuro
   Google Scholar
• Nørreklit, H., Nørreklit, L., & Mitchell, F. (2016). Understanding practice generalisation – opening the research/practice gap. Qualitative Research in Accounting & Management, 13(3), 278–302. https://doi.org/https://doi.org/10.1108/QRAM-09-2015-0088
   Web of Science ®Google Scholar
• Oblak, K., Ličen, M., & Slapničar, S. (2018). The role of cognitive frames in combined decisions about risk and effort. Management Accounting Research, 39, 35–46. https://doi.org/https://doi.org/10.1016/j.mar.2017.07.001
   Web of Science ®Google Scholar
• O’Doherty, J., Dayan, P., Schultz, J., Deichmann, R., Friston, K., & Dolan, R. J. (2004). Dissociable roles of ventral and dorsal striatum in instrumental conditioning. Science, 304(5669), 452–454. https://doi.org/https://doi.org/10.1126/science.1094285
   PubMed Web of Science ®Google Scholar
• O’Donnell, K., Hicks, B., Streeter, J., & Shantapriyan, P. (2015). Getting it right: Directors’ assessment of information. Managerial Auditing Journal, 30(2), 117–131. https://doi.org/https://doi.org/10.1108/MAJ-08-2014-1077
   Web of Science ®Google Scholar
• Olsen, C., & Gold, A. (2018). Future research directions at the intersection between cognitive neuroscience research and auditors professional skepticism. Journal of Accounting Literature, 41, 127–141. https://doi.org/https://doi.org/10.1016/j.acclit.2018.03.006
   Web of Science ®Google Scholar
• Pan, Y., Siegel, S., & Wang, T. Y. (2017). Corporate risk culture. Journal of Financial and Quantitative Analysis, 52(6), 2327–2367. https://doi.org/https://doi.org/10.1017/S0022109017000771
   Web of Science ®Google Scholar
• Peecher, M. E., Solomon, I., & Trotman, K. T. (2013). An accountability framework for financial statement auditors and related research questions. Accounting, Organizations and Society, 38(8), 596–620. https://doi.org/https://doi.org/10.1016/j.aos.2013.07.002
   Web of Science ®Google Scholar
• Penalva, F., & Wagenhofer, A. (2019). Conservatism in debt contracting: Theory and empirical evidence. Accounting and Business Research, 49(6), 619–647. https://doi.org/https://doi.org/10.1080/00014788.2019.1609899
   Web of Science ®Google Scholar
• Pennington, R., & Tuttle, B. (2009). Managing impressions using distorted graphs of income and earnings per share: The role of memory. International Journal of Accounting Information Systems, 10(1), 25–45. https://doi.org/https://doi.org/10.1016/j.accinf.2008.10.001
   Google Scholar
• Pesci, C., Costa, E., & Soobaroyen, T. (2015). The forms of repetition in social and environmental reports: Insights from Hume’s notion of ‘impressions’. Accounting and Business Research, 45(6-7), 765–800. https://doi.org/https://doi.org/10.1080/00014788.2015.1084224
   Web of Science ®Google Scholar
• Peytcheva, M., & Gillett, P. R. (2011). How partners’ views influence auditor judgment. Auditing, 30(4), 285–301. https://doi.org/https://doi.org/10.2308/ajpt-10170
   Web of Science ®Google Scholar
• Posner, M. I., & Petersen, S. E. (1990). The attention system of the human brain. Annual Review of Neuroscience, 13(1), 25–42. https://doi.org/https://doi.org/10.1146/annurev.ne.13.030190.000325
   PubMed Web of Science ®Google Scholar
• Power, J. D., & Petersen, S. E. (2013). Control-related systems in the human brain. Current Opinion in Neurobiology, 23(2), 223–228. https://doi.org/https://doi.org/10.1016/j.conb.2012.12.009
   PubMed Web of Science ®Google Scholar
• Purves, D., Augustine, G. J., Fitzpatrick, D., Hall, W. C., LaMantia, A., McNamara, J. O., & Williams, S. M. (2004). Neuroscience, third Edition. Sinauer Associates.
   Google Scholar
• Ramamoorti, S. (2008). The psychology and sociology of fraud: Integrating the behavioral sciences component into fraud and forensic accounting curricula. Issues in Accounting Education, 23(4), 521–533. https://doi.org/https://doi.org/10.2308/iace.2008.23.4.521
   Google Scholar
• Ravenscroft, S. P., Waymire, T. R., & West, T. D. (2012). Accounting students’ metacognition: The association of performance, calibration error, and mindset. Issues in Accounting Education, 27(3), 707–732. https://doi.org/https://doi.org/10.2308/iace-50148
   Google Scholar
• Reichert, B. E., & Woods, A. (2017). Does motivational orientation impact the effectiveness of incentive contracts? Journal of Management Accounting Research, 29(2), 87–103. https://doi.org/https://doi.org/10.2308/jmar-51539
   Web of Science ®Google Scholar
• Reimsbach, D., Hahn, R., & Gürtürk, A. (2018). Integrated reporting and assurance of sustainability information: An experimental study on professional investors’ information processing. European Accounting Review, 27(3), 559–581. https://doi.org/https://doi.org/10.1080/09638180.2016.1273787
   Web of Science ®Google Scholar
• Rose, A. M., Rose, J. M., Sanderson, K.-A., & Thibodeau, J. C. (2017b). When should audit firms introduce analyses of big data into the audit process? Journal of Information Systems, 31(3), 81–99. https://doi.org/https://doi.org/10.2308/isys-51837
   Web of Science ®Google Scholar
• Rose, A. M., Rose, J. M., Suh, I., & Ugrin, J. C. (2017a). Unanticipated effects of restricted stock on managers’ risky investment decisions. Advances in Accounting, 38, 106–112. https://doi.org/https://doi.org/10.1016/j.adiac.2017.07.001
   Web of Science ®Google Scholar
• Rose, J. M. (2002). The effects of cognitive load on decision aid users. Advances in Accounting Behavioral Research, 5, 115–140. https://doi.org/https://doi.org/10.1016/S1474-7979(02)05039-1
   Google Scholar
• Rotaru, K., Schulz, A., & Fehrenbacher, D. D. (2018). New technologies for behavioural accounting experiments. In T. Libby & L. Thorne (Eds.), The Routledge Companion to Behavioural Accounting research (pp. 253–272). Routledge.
   Google Scholar
• Sanfey, A., & Dorris, M. (2009). Games in humans and non-human primates: Scanners to single units. In P. W. Glimcher, C. F. Camerer, & E. Fehr (Eds.), Neuroeconomics: Decision making and the brain (pp. 63–80). Elsevier.
   Google Scholar
• Sereno, A. B., Babin, S. L., Hood, A. J., & Jeter, C. B. (2009). Executive functions: Eye movements and neuropsychiatric disorders. In L. R. Squire (Ed.), Encyclopedia of neuroscience (pp. 117–122). Academic Press.
   Google Scholar
• Shadlen, M. N., & Newsome, W. T. (2001). Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey. Journal of Neurophysiology, 86(4), 1916–1936. https://doi.org/https://doi.org/10.1152/jn.2001.86.4.1916
   PubMed Web of Science ®Google Scholar
• Sharot, T. (2011). The optimism bias: A tour of the irrationally positive brain. Pantheon Books.
   Google Scholar
• Sharot, T., Kanai, R., Marston, D., Korn, C. W., Rees, G., & Dolan, R. J. (2012). Selectively altering belief formation in the human brain. Proceedings of the National Academy of Sciences, 109(42), 17058–17062. https://doi.org/https://doi.org/10.1073/pnas.1205828109
   PubMed Web of Science ®Google Scholar
• Sharot, T., Korn, C. W., & Dolan, R. J. (2011). How unrealistic optimism is maintained in the face of reality. Nature Neuroscience, 14(11), 1475–1479. https://doi.org/https://doi.org/10.1038/nn.2949
   PubMed Web of Science ®Google Scholar
• Sharot, T., Riccardi, A. M., Raio, C. M., & Phelps, E. A. (2007). Neural mechanisms mediating optimism bias. Nature, 450(7166), 102–105. https://doi.org/https://doi.org/10.1038/nature06280
   PubMed Web of Science ®Google Scholar
• Siddaway, A. P., Wood, A. M., & Hedges, L. V. (2019). How to do a systematic review: A best practice guide for conducting and reporting narrative reviews, meta-analyses, and meta-syntheses. Annual Review of Psychology, 70(1), 747–770. https://doi.org/https://doi.org/10.1146/annurev-psych-010418-102803
   PubMed Web of Science ®Google Scholar
• Sirois, L.-P., Bédard, J., & Bera, P. (2018). The informational value of key audit matters in the auditor’s report: Evidence from an eye-tracking study. Accounting Horizons, 32(2), 141–162. https://doi.org/https://doi.org/10.2308/acch-52047
   Web of Science ®Google Scholar
• Slapničar, S., Ličen, M., Hartmann, F., Ozimič, A. S., & Repovš, G. (2018). Why controllers compromise on their fiduciary duty: A replication and extension using functional magnetic resonance imaging (fMRI). Working paper, University of Ljubljana and Erasmus University. Retrieved April 7, 2019, from https://ssrn.com/abstract=3231288
   Google Scholar
• Smith, V. L. (2009). Introduction: Experimental economics and neuroeconomics. In P. W. Glimcher, C. F. Camerer, E. Fehr, & R. A. Poldrack (Eds.), Neuroeconomics: Decision making and the brain (pp. 15–20). Academic Press.
   Google Scholar
• Society for Neuroscience. (2018). Brain facts.
   Google Scholar
• Stinson, S. R., Barnes, B. G., Buchheit, S., & Morrow, M. (2018). Do consumer-directed tax credits effectively increase demand? Experimental evidence of conditional success. Journal of the American Taxation Association, 40(2), 1–19. https://doi.org/https://doi.org/10.2308/atax-51960
   Google Scholar
• Sugahara, S., Sugao, H., Dellaportas, S., & Masaoka, T. (2016). The effect of body-movement teaching, learning motivation and performance. Meditari Accountancy Research, 24(3), 414–437. https://doi.org/https://doi.org/10.1108/MEDAR-02-2015-0006
   Web of Science ®Google Scholar
• Taffler, R. J., Spence, C., & Eshraghi, A. (2017). Emotional economic man: Calculation and anxiety in fund management. Accounting, Organizations and Society, 61, 53–67. https://doi.org/https://doi.org/10.1016/j.aos.2017.07.003
   Web of Science ®Google Scholar
• Trotman, K. T. (2019). Discussion of “mind the gap: Why do experts have differences of opinion regarding the sufficiency of audit evidence supporting complex fair value measurements?” Contemporary Accounting Research, 36(3), 1449–1460. https://doi.org/https://doi.org/10.1111/1911-3846.12480
   Web of Science ®Google Scholar
• Velte, P., & Stawinoga, M. (2017). Integrated reporting: The current state of empirical research, limitations and future research implications. Journal of Management Control, 28(3), 275–320. https://doi.org/https://doi.org/10.1007/s00187-016-0235-4
   Web of Science ®Google Scholar
• Wahab, N. S. A., Ntim, C. G., Adnan, M. M. M., & Ling, T. W. (2018). Top management team heterogeneity, governance changes and book-tax differences. Journal of International Accounting, Auditing and Taxation, 32, 30–46. https://doi.org/https://doi.org/10.1016/j.intaccaudtax.2018.07.002
   Google Scholar
• Waymire, G. B. (2009). Exchange guidance is the fundamental demand for accounting. The Accounting Review, 84(1), 53–62. https://doi.org/https://doi.org/10.2308/accr.2009.84.1.53
   Web of Science ®Google Scholar
• Waymire, G. B. (2014). Neuroscience and ultimate causation in accounting research. The Accounting Review, 89(6), 2011–2019. https://doi.org/https://doi.org/10.2308/accr-50881
   Web of Science ®Google Scholar
• Waymire, G. B., & Basu, S. (2007). Accounting is an evolved economic institution. Foundations and Trends® in Accounting, 2(1–2), 1–174. https://doi.org/https://doi.org/10.1561/1400000011
   Google Scholar
• Waymire, G. B., & Basu, S. (2011). Economic crisis and accounting evolution. Accounting and Business Research, 41(3), 207–232. https://doi.org/https://doi.org/10.1080/00014788.2011.574266
   Web of Science ®Google Scholar
• Waytz, A., & Mason, M. (2013). Your brain at work: What a new approach to neuroscience can teach us about management. Harvard Business Review, 91(7-8), 102–111.
   PubMedGoogle Scholar
• Wheeler, P., & Arunachalam, V. (2009). The effects of multimedia on cognitive aspects of decision-making. International Journal of Accounting Information Systems, 10(2), 97–116. https://doi.org/https://doi.org/10.1016/j.accinf.2008.10.004
   Google Scholar
• Williams, C. D. (2015). Asymmetric responses to earnings news: A case for ambiguity. The Accounting Review, 90(2), 785–817. https://doi.org/https://doi.org/10.2308/accr-50866
   Web of Science ®Google Scholar
• Williams, P. F., & Ravenscroft, S. P. (2015). Rethinking decision usefulness. Contemporary Accounting Research, 32(2), 763–788. https://doi.org/https://doi.org/10.1111/1911-3846.12083
   Web of Science ®Google Scholar
• Williams, R., & Rattray, R. (2004). Consultobabble’s facilitatory role in process consultation. Managerial Auditing Journal, 19(2), 180–190. https://doi.org/https://doi.org/10.1108/02686900410517812
   Google Scholar
• Wisniewski, T. P., & Moro, A. (2014). When EU leaders speak, the markets listen. European Accounting Review, 23(4), 519–551. https://doi.org/https://doi.org/10.1080/09638180.2014.884931
   Web of Science ®Google Scholar
• Wolfe, C. J., Christensen, B. E., & Vandervelde, S. D. (2019). Intuition versus analytical thinking and impairment testing. Contemporary Accounting Research, in press. https://doi.org/https://doi.org/10.1111/1911-3846.12568
   Google Scholar
• Wong-On-Wing, B., Guo, L., Li, W., & Yang, D. (2007). Reducing conflict in balanced scorecard evaluations. Accounting, Organizations and Society, 32(4-5), 363–377. https://doi.org/https://doi.org/10.1016/j.aos.2006.05.001
   Web of Science ®Google Scholar
• Wynder, M. (2018). Visualising accounting concepts: Insights from cognitive load theory for English as a second language students. Accounting Education, 27(6), 590–612. https://doi.org/https://doi.org/10.1080/09639284.2017.1361847
   Web of Science ®Google Scholar
• Zingales, L. (2009). The future of securities regulation. Journal of Accounting Research, 47(2), 391–425. https://doi.org/https://doi.org/10.1111/j.1475-679X.2009.00331.x
   Web of Science ®Google Scholar