A Computing System to Assist Business Leaders in Making Ethical Decisions

  • Reggie Davidrajuh
Part of the IFIP – The International Federation for Information Processing book series (IFIPAICT, volume 286)


This paper explores whether it is possible to build a computing system that can make ethical decisions autonomously, and if it is possible, then what it takes to build such a system. Firstly, this paper introduces ethical business decision-making, and also explains the reason for building an autonomous computing system that can assist business leaders. Secondly, a literature study is presented on the existing models for ethical decision-making; from the literature study, and with the help the stakeholder analysis (ethical theories that are relevant to the business environment), a new model is proposed. Thirdly, based on the new model, this paper proposes building an autonomous computing system; the proposed system has a layered architecture. This paper concludes that if such a system is built then inherently it has to be an adaptive system in order to cope with ever changing environment.


Ethical Business Moral Development Stakeholder Theory Business Opportunity Inference Engine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Boomer, M., Clarence, G., and Tuttle, M. (1987) A behavioral Model of Ethical and Unethical decision Making. Journal of Business Ethics, 6(4), (May 1987), pp. 265-280CrossRefGoogle Scholar
  2. Burns, J. (1978) Leadership. New York: Harper & RowGoogle Scholar
  3. Cassandras, G. and LaFortune, S. (1999). Introduction to Discrete Event Systems. Hague, Kluwer Academic PublicationsMATHGoogle Scholar
  4. Dickson, M., Smith, D. Grojean, M., and Ehrhart, M. (2001) An organizational climate regarding ethics: The outcome of leader values and the practices that reflect them. Leadership Quarterly, 12, 197-217CrossRefGoogle Scholar
  5. Fasli, M. (2007) Agent Technology for e-commerce. WileyGoogle Scholar
  6. Friedman, M. (1962) Capitalism and Freedom. Chicago: University of Chicago PressGoogle Scholar
  7. Haines, R. and Leonard, L. (2007). Individual characteristics and ethical decision-making in an IT context. Industrial Management & Data Systems, 107 (1), pp. 5-21CrossRefGoogle Scholar
  8. Heifetz, R. (1994) Leadership without easy answers. Cambridge, MA: Belnap Press of Harvard University PressGoogle Scholar
  9. Kahn, W (1990) Toward an agenda for business ethics research. Academy of Management Review, 15, 311-328CrossRefGoogle Scholar
  10. Kohlberg, L. (1984) The psychology of moral development. New York: Harper & RowGoogle Scholar
  11. Lessig, L. (1999) Code and Other Laws of Cyberspace. New York: Basic BooksGoogle Scholar
  12. Muller, J., Pischel, M., and Thiel, M. (1995) Modelling reactive behaviour in vertically layered agent architecture. In Wooldridge, M. and Jennings, N., editors, Intelligent Agents: Agent Theories, Architectures, and Languages (ATAL), LNAI Volume 890, pages 261-276, Springer, BerlinGoogle Scholar
  13. Pearlson, K. and Saunders, C. (2006) Managing & Using Information Systems: A strategic Approach. 3ed., WileyGoogle Scholar
  14. Peterson, J. (1981) Petri Net Theory and the Modeling of Systems. Prentice-Hall, N.J.Google Scholar
  15. Ross, T. (2004). Fuzzy logic with Engineering Applications. 2. ed. John Wiley & SonsGoogle Scholar
  16. Silbiger, S. (2007). The 10-Day MBA. Piatkus, London.Google Scholar
  17. Smith, H. And Hasnas, J. (1999) Ethics and Information Systems: The Corporate Domain. MIS Quarterly, 23 (1), (Mar. 1999), pp. 109-127CrossRefGoogle Scholar
  18. Spinello, R. (2003) CyberEthics: Morality and Law in Cyberspace. 2nd ed. Jones and Bartlett PublishersGoogle Scholar
  19. Trevino, L. (1986) Ethical decision making in organizations: A person-situation interactionist model. Academy of Management Review, 11, 601-617CrossRefGoogle Scholar
  20. Trevino, L. Butterfield, K. and McCabe, D. (1998) The ethical context in organizations: Influences on employee attitudes and behaviors. Business Ethics Quarterly, 8(3), 447-476CrossRefGoogle Scholar
  21. Trevino, L. and Youngblood, S. (1990) Bad apples in bad barrels: a casual approach. Journal of Applied Psychology, 75, 378-385CrossRefGoogle Scholar
  22. Tsoukalas L. and Uhrig, R. (1997). Fuzzy and Neural Approaches in Engineering. John Wiley and SonsGoogle Scholar
  23. Walstrom, K (2006) Social and legal impacts on information ethics decision making. Journal of Computer Information Systems, XLVII (2), (Winter 2006-2007), pp. 1-8Google Scholar
  24. Wooldridge, M. (1999) Intelligent Agents. In Weiss, G., editor, Multiagent Systems: A modern approach to Distributed Artificial Intelligence, pages 27-77. The MIT Press, Cambridge, MAGoogle Scholar
  25. Yukl, G. (2006) Leadership in organizations. 6th Ed. Pearson / Prentice-Hall.Google Scholar

Copyright information

© International Federation for Information Processing 2008

Authors and Affiliations

  • Reggie Davidrajuh
    • 1
  1. 1.Department of Electrical Engineering and Computer ScienceUniversity of StavangerNorway

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