How to cite this paper
Kilani, Y & Haikal, E. (2020). Exploitation of expert system in identifying organizational ethics through controlling decision making process.Management Science Letters , 10(7), 1417-1426.
Refrences
Becerra-Fernandez, I., & Sabherwal, R. (2014). Knowledge management: Systems and processes. Routledge.
Bond, A. H., & Gasser, L. (Eds.). (2014). Readings in distributed artificial intelligence. Morgan Kaufmann.
Bostrom, N., & Yudkowsky, E. (2014). The ethics of artificial intelligence. The Cambridge handbook of artificial intelli-gence, 316, 334.
Brenner, B. (2008). A computerized business ethics expert system: A new approach to improving the ethical quality of business decision-making. Journal of Systemics, Cybernetics and Informatics, 3(3), 86-90.
Bryson, J., & Winfield, A. (2017). Standardizing ethical design for artificial intelligence and autonomous sys-tems. Computer, 50(5), 116-119.
Dillard, J. F., & Yuthas, K. (2001). A responsibility ethics for audit expert systems. Journal of Business Ethics, 30(4), 337-359.
Dirican, C. (2015). The impacts of robotics, artificial intelligence on business and economics. Procedia-Social and Behav-ioral Sciences, 195, 564-573.
Ericsson, K. A., Hoffman, R. R., Kozbelt, A., & Williams, A. M. (Eds.). (2018). The Cambridge handbook of expertise and expert performance. Cambridge University Press.
Eyisi, D. (2016). The usefulness of qualitative and quantitative approaches and methods in researching problem-solving ability in science education curriculum. Journal of Education and Practice, 7(15), 91-100.
Hashem, T. (2013). Marketing Manager's Perception of advantages and disadvantages of expert systems in the Jordanian Commercial banks. Research Gate
Helman, D. H. (Ed.). (2013). Analogical reasoning: Perspectives of artificial intelligence, cognitive science, and philoso-phy (Vol. 197). Springer Science & Business Media.
Hunt, K. J., Irwin, G. R., & Warwick, K. (Eds.). (2012). Neural network engineering in dynamic control systems. Springer Science & Business Media.
Khalil, O. E. (1993). Artificial decision-making and artificial ethics: A management concern. Journal of Business Eth-ics, 12(4), 313-321.
Khodakarami, F., & Chan, Y. E. (2014). Exploring the role of customer relationship management (CRM) systems in cus-tomer knowledge creation. Information & Management, 51(1), 27-42.
Klumpp, M. (2018). Automation and artificial intelligence in business logistics systems: human reactions and collabora-tion requirements. International Journal of Logistics Research and Applications, 21(3), 224-242.
Krishnamoorthy, C. S., & Rajeev, S. (2018). Artificial intelligence and expert systems for engineers. CRC press.
Kwakye, O., Yusheng, K., Ayamba, E. C., & Osei, A. A. (2018). Influence of ethical behavior on Corporate Governance of firm’s performance in Ghana. International Journal of Scientific Research and Management, 6(06).
Leikas, J., Koivisto, R., & Gotcheva, N. (2019). Ethical Framework for Designing Autonomous Intelligent Sys-tems. Journal of Open Innovation: Technology, Market, and Complexity, 5(1), 18.
Leslie, D. (2019). Understanding artificial intelligence ethics and safety. arXiv preprint arXiv:1906.05684.
Li, D., & Du, Y. (2017). Artificial intelligence with uncertainty. CRC press.
Lu, H., Li, Y., Chen, M., Kim, H., &Serikawa, S. (2018). Brain intelligence: go beyond artificial intelligence. Mobile Net-works and Applications, 23(2), 368-375.
Marcus, S. (Ed.). (2013). Automating knowledge acquisition for expert systems (Vol. 57). Springer Science & Business Media.
Masterman, J. W., & Masterman, J. (2013). An introduction to building procurement systems. Routledge.
Medsker, L. R. (2012). Hybrid neural network and expert systems. Springer Science & Business Media.
Puppe, F. (2012). Systematic introduction to expert systems: Knowledge representations and problem-solving methods. Springer Science & Business Media.
Raho, L. E., Belohlav, J. A., & Drehmer, D. R. (1994). Expert systems in organizations: Legal and ethical considera-tions. Information and Communications Technology Law, 3(1), 47-57.
Ransbotham, S., Kiron, D., Gerbert, P., & Reeves, M. (2017). Reshaping business with artificial intelligence: Closing the gap between ambition and action. MIT Sloan Management Review, 59(1).
Rashid, N., Fizzah, S., & Alvi, M. (2014). Impact of business ethics on organizational development in telecom sector of Pakistan. Journal of Applied Environment and Biological Sciences, 4(9s), 45-51
Rossi, F. (2019). Building trust in artificial intelligence. Journal of International Affairs, 72(1), 127-134.
Salas, E., Rosen, M. A., & DiazGranados, D. (2010). Expertise-based intuition and decision making in organiza-tions. Journal of Management, 36(4), 941-973.
Scarbrough, H., & Corbett, J. M. (2013). Technology and Organization (RLE: Organizations): Power, Meaning and De-isgn. Routledge.
Skilton, M., & Hovsepian, F. (2017). The 4th Industrial Revolution: Responding to the Impact of Artificial Intelligence on Business. Springer.
Tran, D., Kucukelbir, A., Dieng, A. B., Rudolph, M., Liang, D., &Blei, D. M. (2016). Edward: A library for probabilistic modeling, inference, and criticism. arXiv preprint arXiv:1610.09787.
Turban, E., Sharda, R., & Delen, D. (2010). Decision support and business intelligence systems (required). Google Schol-ar.
Vieira, M. E. R. (2013). The effects of ethical behavior on the profitability of firms: a study of the Portuguese construction industry (Doctoral dissertation).
Wigan, M. R. (1987). Legal and ethical issues in expert systems used in planning. Environment and planning B: Planning and design, 14(3), 305-321.
Willcocks, L. (2013). Information management: the evaluation of information systems investments. Springer.
Wu, D. D., Chen, S. H., & Olson, D. L. (2014). Business intelligence in risk management: Some recent progress-es. Information Sciences, 256, 1-7.
Ziarko, W. P. (Ed.). (2012). Rough Sets, Fuzzy Sets and Knowledge Discovery: Proceedings of the International Workshop on Rough Sets and Knowledge Discovery (RSKD’93), Banff, Alberta, Canada, 12–15 October 1993. Springer Science & Business Media.
Zimmermann, H. J. (2012). Fuzzy sets, decision making, and expert systems (Vol. 10). Springer Science & Business Me-dia.
Bond, A. H., & Gasser, L. (Eds.). (2014). Readings in distributed artificial intelligence. Morgan Kaufmann.
Bostrom, N., & Yudkowsky, E. (2014). The ethics of artificial intelligence. The Cambridge handbook of artificial intelli-gence, 316, 334.
Brenner, B. (2008). A computerized business ethics expert system: A new approach to improving the ethical quality of business decision-making. Journal of Systemics, Cybernetics and Informatics, 3(3), 86-90.
Bryson, J., & Winfield, A. (2017). Standardizing ethical design for artificial intelligence and autonomous sys-tems. Computer, 50(5), 116-119.
Dillard, J. F., & Yuthas, K. (2001). A responsibility ethics for audit expert systems. Journal of Business Ethics, 30(4), 337-359.
Dirican, C. (2015). The impacts of robotics, artificial intelligence on business and economics. Procedia-Social and Behav-ioral Sciences, 195, 564-573.
Ericsson, K. A., Hoffman, R. R., Kozbelt, A., & Williams, A. M. (Eds.). (2018). The Cambridge handbook of expertise and expert performance. Cambridge University Press.
Eyisi, D. (2016). The usefulness of qualitative and quantitative approaches and methods in researching problem-solving ability in science education curriculum. Journal of Education and Practice, 7(15), 91-100.
Hashem, T. (2013). Marketing Manager's Perception of advantages and disadvantages of expert systems in the Jordanian Commercial banks. Research Gate
Helman, D. H. (Ed.). (2013). Analogical reasoning: Perspectives of artificial intelligence, cognitive science, and philoso-phy (Vol. 197). Springer Science & Business Media.
Hunt, K. J., Irwin, G. R., & Warwick, K. (Eds.). (2012). Neural network engineering in dynamic control systems. Springer Science & Business Media.
Khalil, O. E. (1993). Artificial decision-making and artificial ethics: A management concern. Journal of Business Eth-ics, 12(4), 313-321.
Khodakarami, F., & Chan, Y. E. (2014). Exploring the role of customer relationship management (CRM) systems in cus-tomer knowledge creation. Information & Management, 51(1), 27-42.
Klumpp, M. (2018). Automation and artificial intelligence in business logistics systems: human reactions and collabora-tion requirements. International Journal of Logistics Research and Applications, 21(3), 224-242.
Krishnamoorthy, C. S., & Rajeev, S. (2018). Artificial intelligence and expert systems for engineers. CRC press.
Kwakye, O., Yusheng, K., Ayamba, E. C., & Osei, A. A. (2018). Influence of ethical behavior on Corporate Governance of firm’s performance in Ghana. International Journal of Scientific Research and Management, 6(06).
Leikas, J., Koivisto, R., & Gotcheva, N. (2019). Ethical Framework for Designing Autonomous Intelligent Sys-tems. Journal of Open Innovation: Technology, Market, and Complexity, 5(1), 18.
Leslie, D. (2019). Understanding artificial intelligence ethics and safety. arXiv preprint arXiv:1906.05684.
Li, D., & Du, Y. (2017). Artificial intelligence with uncertainty. CRC press.
Lu, H., Li, Y., Chen, M., Kim, H., &Serikawa, S. (2018). Brain intelligence: go beyond artificial intelligence. Mobile Net-works and Applications, 23(2), 368-375.
Marcus, S. (Ed.). (2013). Automating knowledge acquisition for expert systems (Vol. 57). Springer Science & Business Media.
Masterman, J. W., & Masterman, J. (2013). An introduction to building procurement systems. Routledge.
Medsker, L. R. (2012). Hybrid neural network and expert systems. Springer Science & Business Media.
Puppe, F. (2012). Systematic introduction to expert systems: Knowledge representations and problem-solving methods. Springer Science & Business Media.
Raho, L. E., Belohlav, J. A., & Drehmer, D. R. (1994). Expert systems in organizations: Legal and ethical considera-tions. Information and Communications Technology Law, 3(1), 47-57.
Ransbotham, S., Kiron, D., Gerbert, P., & Reeves, M. (2017). Reshaping business with artificial intelligence: Closing the gap between ambition and action. MIT Sloan Management Review, 59(1).
Rashid, N., Fizzah, S., & Alvi, M. (2014). Impact of business ethics on organizational development in telecom sector of Pakistan. Journal of Applied Environment and Biological Sciences, 4(9s), 45-51
Rossi, F. (2019). Building trust in artificial intelligence. Journal of International Affairs, 72(1), 127-134.
Salas, E., Rosen, M. A., & DiazGranados, D. (2010). Expertise-based intuition and decision making in organiza-tions. Journal of Management, 36(4), 941-973.
Scarbrough, H., & Corbett, J. M. (2013). Technology and Organization (RLE: Organizations): Power, Meaning and De-isgn. Routledge.
Skilton, M., & Hovsepian, F. (2017). The 4th Industrial Revolution: Responding to the Impact of Artificial Intelligence on Business. Springer.
Tran, D., Kucukelbir, A., Dieng, A. B., Rudolph, M., Liang, D., &Blei, D. M. (2016). Edward: A library for probabilistic modeling, inference, and criticism. arXiv preprint arXiv:1610.09787.
Turban, E., Sharda, R., & Delen, D. (2010). Decision support and business intelligence systems (required). Google Schol-ar.
Vieira, M. E. R. (2013). The effects of ethical behavior on the profitability of firms: a study of the Portuguese construction industry (Doctoral dissertation).
Wigan, M. R. (1987). Legal and ethical issues in expert systems used in planning. Environment and planning B: Planning and design, 14(3), 305-321.
Willcocks, L. (2013). Information management: the evaluation of information systems investments. Springer.
Wu, D. D., Chen, S. H., & Olson, D. L. (2014). Business intelligence in risk management: Some recent progress-es. Information Sciences, 256, 1-7.
Ziarko, W. P. (Ed.). (2012). Rough Sets, Fuzzy Sets and Knowledge Discovery: Proceedings of the International Workshop on Rough Sets and Knowledge Discovery (RSKD’93), Banff, Alberta, Canada, 12–15 October 1993. Springer Science & Business Media.
Zimmermann, H. J. (2012). Fuzzy sets, decision making, and expert systems (Vol. 10). Springer Science & Business Me-dia.