AGENT-BASED MODEL AND MANAGEMENT ACCOUNTING: CULTURE-CONTINGENT MANAGERIAL BEHAVIOR IN LIGHT OF BUDGETARY CONSTRAINTS
DOI:
https://doi.org/10.14392/asaa.2021140306Keywords:
Agent-Based Model, Budgeting, Management Accounting, Computational Accounting, Negotiating Agents.Abstract
Objective: The paper aims at creating a model to simulate managerial behavior within a budgetary process affording analysis of evolving overall performance and specific behavioral attributes, at both firm- and manager-level.
Method: This study focuses on computer science, decision systems and management, by exploring agent-based modeling (ABM) in management accounting, with Python and Mesa. The model adopts a Consumer Service Provider firm and its quarterly sales budgeting process for a network of 400 branches over a 5-year term, contingent to firm culture (authoritarian or participative).
Results and discussions: Data analytics yielded results based on intense model simulation, with more than 19 million data points. Findings show culture-contingent firm performance and managerial behavior evolution linked to the budgetary process. Authoritarian firms generated fair more sales with similar managerial human capital and market, under increasing strong demand; authoritarian firms paid more bonuses as part pf their reward system. In general, an authoritarian culture may benefit in a strong demand scenario thad participative firms, potentially due to budgetary slack form negotiation. On the other hand, authoritarian forms showed lower levels of happiness and engagement among their managers.
Contributions: Contributions are threefold, pointing to (a) management accounting practice and research, (b) science and research strategy, and (c) accounting education.Downloads
References
Abar, S., Theodoropoulos, G. K., Lemarinier, P., & O’Hare, G. M. P. (2017). Agent Based modelling and simulation tools: A review of the state-of-art software. Computer Science Review, 24, 13-33.
ACE (2018). Agent-based computational economics. Retrieved on Dec. 26 2018 from "http://www2.econ.iastate.edu/tesfatsi/acedemos.htm"
Altoé, S. M. L., Pacheco, V., & Espejo, M. M. S. B. (2018). Estilos de liderança e uso do sistema de controle gerencial: Evidências do efeito moderador do nível de formação de gestores de topo. Advances in Scientific and Applied Accounting, 11(2), 224-245.
Amman, H. M. (1988). Computer science in economics and management: A new discipline! (Editorial). Computer Science in Economics and Management, 1(1), 1-2.
Appelbaum, D., Kogan, A., Vasarhelyi, M., & Yan, Z. (2017). Impact of business analytics and enterprise systems on managerial accounting. International Journal of Accounting Information Systems, 25, 29-44.
Arnold, M.C, Gillenkirch, M.R, (2015). Using negotiated budgets for planning and performance evaluation: An experimental study. Journal of Accounting, Organizations and Society, 43, 1-16.
Axelrod, R. (2006). Simulation in the Social Sciences. Handbook of Research on Nature-Inspired Computing for Economics and Management (pp. 90-100). In: J-P. Rennard (Ed.). Hershey, PA: Idea Group.
Axelrod, R. & Hamilton, W. D. (1981). The evolution of cooperation. Science, 211(4489), 1390-1396.
Baerdemaeker, J., Bruggeman, W. (2015). The impact of participation in strategic planning on managers’ creation of budgetary slack: The mediating role of autonomous motivation and affective organisational commitment. Journal of Management Accounting Research, 29, 1-12.
Barbati, M., Bruno, G., & Genovese, A. (2012). Applications of agent-based models for optimization problems: A literature review. Expert Systems with Applications, 39, 6020-6028.
Becker, G. S. (1962). Irrational behavior and economic theory. The Journal of Political Economy, 70(1), 1-13.
Bertrand, M. & Schoar, A. (2003). Managing with style: The effect of managers on firm policies. The Quarterly Journal of Economics, 118(4), 1169-1208.
Bonabeau, E. (2002). Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences of the United States of America, 99(Suppl 3), 7280-7287.
Bushman, R. M., Indjejikian, R. J., Smith, A. (1995). Aggregate performance measures in business unit manager compensation: the role of intrafirm interdependencies. Journal of Accounting Research, 33(Suppl), 101–129.
Brink, A.G., Coats, J.C., Rankin, F.W. Who’s the boss? The economic and behavioral implications of Tvarious characterizations of the superior in participative budgeting research. Journal of Accounting Literature, 41, 89-105.
Chamanlal, M. J. (2014). Role of computer applications and tools in the scientific research process. International Journal of Research in Science and Technology, 3(5), 33-40.
Chen, S-H. (2012). Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective. Journal of Economic Dynamics & Control, 36, 1-25.
Chesney, T., Gold, S., & Trautrims, A. (2017). Agent based modelling as a decision support system for shadow accounting. Decision Support Systems, 95, 110-116.
Chong, V. K, Syarifuddin, I. (2010). The effect of obedience pressure and authoritarianism on managers' project evaluation decisions. Advances in Accounting, 26, 185-194.
Church, B., Kuang, X., Liu, Y. (2018). The effects of measurement basis and slack benefits on honesty in budget reporting. Journal of Accounting, Organizations and Society, 1-11.
Cokins, G. (2013). Top 7 trends in management accounting. Strategic Finance, 95(6), 21-29.
David, N., Sichman, J. S., & Coelho, H. (2005).The logic of the method of agent-based simulation in the Social Sciences: Empirical and intentional adequacy of computer programs. Journal of Artificial Societies and Social Simulation, 8(4).
Davis, J. P., Eisenhardt, K. M., Bingham, C. B. (2007) Developing theory through simulation methods. Academy of Management Review, 32(2), 480–499.
Davis, J. S. & Pesch, H. L. Fraud dynamics and controls in organizations. Accounting, Organizations and Society, 38(6-7), 469-483.
Dooley, K. (2002). Simulation research methods. In: J. J. Baum (Ed.) Companion to organizations (pp. 829-848). London: Blackwell.
Dosi, G., Guerini, M., Lamperti, F., Napoletano, M., Roventini, A., & Treibich, T. (2018). Balance-sheet based and unconventional policies in an agent-based model. EU WP6 ISIGrowth Project Deliverable DD 6.5. Retrieved on Dec. 26, 2018, from "http://www.isigrowth.eu/wp-content/uploads/2018/06/working_paper_2018_27.pdf."
Fioretti, G. (2012). Agent-based simulation models in organization science. Organization Research Methods, 16(2), 227-242.
Genius (2018). General Environment for Negotiation with Intelligent multi-purpose Usage Simulation. Retrieved on Dec. 26 2018, from "http://ii.tudelft.nl/genius."
Gilbert, N. (2008). Agent-based models. Thousand Oaks, CA: Sage.
Gómez-Cruz, N. A., Saa, I. L., Hurtado, F. F. O. (2017). Agent-based simulation in management and organizational studies: A survey. European Journal of Management and Business Economics, 26(3), 313-328.
Hesford J. W., Lee, S.-HS., Van der Stede, W. A., & Young, S. M. (2007) Management accounting: a bibliographic study. In: Chapman, C. S., Hoopwood, A. G., and Shields, M. D. (Eds.) Handbook of management accounting research, vol. 1 (pp. 3-26). Elsevier, Amsterdam.
Jonker, C. M., Hindriks, K. V., Wiggers, P., & Borekens, J. (2012). Negotiating agents. AI Magazine, 33(3), 79-91.
Keirsey, D.; Bates, M. (1984). Please Understand Me: Character and temperament type. Del Mar, CA: Prometheus Nemesis Book Company.
Kihn, L. (2010). How do controllers and managers interpret budget targets? Journal of Accounting & Organizational Change, 7, 212-236.
Lambert, R. A. (2001). Contracting theory and accounting. Journal of Accounting and Economics 32(1-3), 3–87
Lawson, R. (2018). Management accounting education: New imperatives. Strategic Finance, Aug. 2018, 100(2), 40-45.
Lazer, D., Pentland, A., Adamic, L., Aral, S., Barabasi, A. L., Brewer, D., Christakis, N., Contractor, N., Fowler, J., Gutmann, M., Jebara, T., King, G., Macy, M., Roy, D., Van Alstyne, M. (2009). Life in the network: The coming age of computational social science. Science 323(5915), 721-723.
Likert, R. (1967). The human organization: its management and values. New York, EUA, Mcgraw-Hill Book.
Luna-Ramirez, W. A., & Fasli, M. (2018). Bridging the gap between ABM and MAS: A disaster-rescue simulation using Jason and NetLogo. Computers, 7(24).
Macal, C. M. & North, M. J. (2010). Tutorial on agent-based modelling and simulation. Journal of Simulation, 4(3), 151-162.
Macinati, M.S. & Rizzo, M. G. (2014). Budget goal commitment, clinical managers’ use of budget information and performance. Journal of Health Policy, 117, 228-238.
Mitchell, T. R. (1974). Motivation: New directions for theory, research, and practice. Academy of Management Review,7, 80–88.
Prawesh, S. (2013). Applications of agent based approaches in business (Unpublished doctoral dissertation). University of South Florida, Florida, USA.
Pritchard, R.D.; Campbell, K.M.(1977). Effects of extrinsic financial rewards on intrinsic motivation. Journal of applied psychology, v. 61, pp.9-15.
Project Mesa Team (2018). Mesa Documentation, Release 1. Retrieved on Dec. 27 2018 from "https://media.readthedocs.org/pdf/mesa/latest/mesa.pdf"
Radu, S. (2017). A negotiation framework with strategies based on agent preferences. Proceedings of 21st International Conference on Control Systems and Computer Science (CSCS), Bucharest, Romania, 529-535.
Russell, S. & Norvig, P. (2010). Artificial Intelligence: A Modern Approach (3rd edition). Upper Saddle River, NJ: Prentice Hall.
Ryan, R.M.; Deci, E.L.(2000). Intrinsic and extrinsic motivations: classic definitions and new directions. Contemporany educational psychology, 25, pp. 54-67.
Samuel, S. (2018). A conceptual framework for teaching management accounting. Journal of Accounting Education, 44, 25-34.
Sappleton, N. (2013). Advancing research methods with new technologies. Hershey, PA: IGI Global.
SCE (Society for Computational Economics). (2018). Computational Economics. Retrieved on Dec. 26 2018, from "http://www.comp-econ.org."
Schein, E.H. (2004). Organisational Culture and Leadership. Jossey-Bass, San Francisco, CA.
Shields J.F, Shields, M.D, (1998). Antecedents of participative budgeting, Journal Accounting, Organizations and Society, 23, 49-76.
Tosi, H.; Rizzo, J.; Carroll, S.(1995). Managing organizational behavior. Long Range Planning, Vol.28(3), pp.115-115.
Vroom, V. H.(1964) Work and motivation.New York: Wiley.
Wall, F. (2016). Agent-based modeling in managerial science: an illustrative survey and study. Review of Managerial Science, 10(1), 135-193.
Wooldridge, M. (2002). An Introduction to MultiAgent Systems. West Sussex: John Wiley & Sons.
Yuen, D. C.Y. (2004). Goal characteristics,communication and reward systems, and managerial propensity to create budgetary slack. Managerial Auditing Journal, 19, 517-532.
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