Abstract
The un-synergistic criteria’s of the candidate and the organization’s vision and mission became the main problem. The subjectivity of certain group tended to bring the frustration hence it provoked the emergence of conflict interests. In order to cover such issues, this paper proposed the blending of an expert system using Bayes theorem and Group Decision Making in identifying the candidate’s leadership style. The analysis was conducted in a series of activities through the development of knowledge base, inference engines, weighting, experts’ alliance, decision tree diagram, intersection independent and mean sample calculation. As a result, eleven numbers of leadership styles were theoretically identified thus confirmed and weighted by experts. In addition, the correlation between the leadership style and organizational vision and mission was analyzed. The leaders’ assessments were perceived by the candidate itself and supported team members. The calculation of estimated values proposed the percentage of candidate leadership style identification. This provided a smart group decision making in recommending organizational decision-makers towards the fit proper elected leader based on the situation. To automate the calculation, prototype assessment software was produced and tested. Black-box and User Acceptance Test found that this application was successfully applied in identifying the leadership style for future leaders.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Monga, O.P.: Leadership theories and educational management: an insight. Biz Bytes: Bi-ann. Manag. Technol. 6, 46–55 (2015)
Val, C., Kemp, J.: Leadership styles. Pathways: Ontario J. Outdoor Educ. 24(3), 28–31 (2012)
Karam, E.P., Hu, J., Davison, R.B., Juravich, M., Nahrgang, J.D., Humphrey, S.E., Scott DeRue, D.: Illuminating the ‘Face’ of justice: a meta-analytic examination of leadership and organizational justice. Manag. Stud. 56(1), 134–171 (2019)
Avolio, B.J., Gardner, W.L.: Authentic leadership development: Getting to the root of positive forms of leadership. Leadersh. Q. 16(3), 315–338 (2005)
Estrada, C.R., Carranza, M.T.G.: Leadership style in nonprofit organizations, the Mexican case. Int. J. Bus. Humanit. Technol. 6(4) (2016)
Arar, K., Abu Nasra, M.: Leadership style, occupational perception and organizational citizenship behavior in the Arab education system in Israel. Emerald Insight: Educ. Adm. 57(1), 85–100 (2019)
Taiwo, A., Agwu, E., Lawal, F.: Vision and mission in the organization: myth or heuristic device? Int. J. Bus. Manag. 4(3), 127–134 (2016)
Cuseo, J.: Leadership self-assessment: assessing your leadership skills & leadership development (2015)
Zhang, G., Lu, J.: An integrated group decision-making method dealing with fuzzy preferences for alternatives and individual judgments for selection criteria. Group Decis. Negot. 12, 501–515 (2003)
Reddy, S., Govindarajulu, P.: A Survey on data mining and machine learning techniques for internet voting and product/service Selection. Int. J. Comput. Sci. Netw. Secur. 17(9), 76–84 (2017)
Okfalisa, Gazalba, I., Mustakim, M., Reza, N.G.I.: Comparative analysis of k-nearest neighbor and modified k-nearest neighbor algorithm for data classification. In: Information Systems and Electrical Engineering (ICITISEE), Yogyakarta, pp. 294–298 (2017)
Barbini, E., Manzi, P., Barbini, P.: Bayesian approach in medicine and health management. Intech (2013)
Amanchukwu, R.N., Stanley, G.J., Ololube, N.P.: A review of leadership theories, principles and styles and their relevance to educational management. Management 5(1), 6–14 (2015)
Zakeer, A., Allah, N., Irfanullah, K.: Leadership theories and styles: a literature review. J. Res. Dev. Manag. 16, 1–7 (2016)
Lorraine, D.C, Jealarr, J, Luis, L.M.L, Charmaine, A.M, Ria, A.S.: J. Adv. Comput. Netw. 2(3) (2014)
Hummel, R.A., Landy, M.S.: A statistical viewpoint on the theory of evidence. IEEE Trans. Pattern Anal. Mach. Intell. 10(2), 235–247 (1988)
Ordoobadi, S.M., Wang, S.: A multiple perspectives approach to supplier selection. Ind. Manag. Data Syst. 111(4), 629–648 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Okfalisa, Ambarwati, F.A., Insani, F., Saktioto, T., Angraini (2020). Smart Group Decision Making on Leadership Style Identification Using Bayes Theorem. In: Saeed, F., Mohammed, F., Gazem, N. (eds) Emerging Trends in Intelligent Computing and Informatics. IRICT 2019. Advances in Intelligent Systems and Computing, vol 1073. Springer, Cham. https://doi.org/10.1007/978-3-030-33582-3_85
Download citation
DOI: https://doi.org/10.1007/978-3-030-33582-3_85
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-33581-6
Online ISBN: 978-3-030-33582-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)