Maverick Behavior Vs. Rule-Based Behavior: The Modeling of Rule-Making
Zoltan Baracskai
Additional contact information
Zoltan Baracskai: Szechenyi Istvan University, Hungary
from ToKnowPress
Abstract:
The mavericks of an organization are always dancing on the precipice of being fired, and yet they are very rarely fired. Maverick behavior employees do not have a traditional career path like their rule-based behavior colleagues. Rule-based behavior employees are part of a well-structured process, while their maverick behavior counterparts change the existing processes or create new ones. Due to the differences in behavior and career trajectory, they often get into conflict both with each other and with the management. This article aims to demonstrate how Artificial Intelligence can help in the modeling of maverick behavior vs. rule-based behavior. The inductive reasoning of Doctus KBS based on AI uses the principle of Ockham’s Razor to find consistent and relevant behavior patterns. This allows management to see the sources of conflict more transparently.
Keywords: Rule-maker; Misbehaving; Artificial intelligence; Decision support systems; Organizational behavior (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.toknowpress.net/ISBN/978-961-6914-23-9/papers/ML2018-075.pdf full text (application/pdf)
http://www.toknowpress.net/ISBN/978-961-6914-23-9/MakeLearn2018.pdf Conference Programme (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:tkp:mklp18:301-305
Access Statistics for this chapter
More chapters in Integrated Economy and Society: Diversity, Creativity and Technology; Proceedings of the MakeLearn and TIIM International Conference 2018 from ToKnowPress
Bibliographic data for series maintained by Miha Jezovnik ().