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Title:Eliminating knowledge bottlenecks using fuzzy logic
Authors:ID Zajec, Maja (Author)
ID Kofjač, Davorin (Author)
ID Roblek, Matjaž (Author)
Files:.pdf Organizacija_2013_Zajec,_Kofjac,_Roblek_Eliminating_Knowledge_Bottlenecks_Using_Fuzzy_Logic.pdf (401,09 KB)
MD5: 2B3F7E5D7357B70F558FAF646AC694E4
 
URL http://www.degruyter.com/view/j/orga.2013.46.issue-5/orga-2013-0018/orga-2013-0018.xml
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FOV - Faculty of Organizational Sciences in Kranj
Abstract:In the formation of new processes, innovations generated by people possessing the right knowledge and talent play a crucial role. Our starting point was the fact that every new change in processes can alter the knowledge structure of a work position or work role. This means that a person can become a knowledge bottleneck in the process. If this person is found on a critical path, the process cannot produce the output in a desired form, extent or quality, unless the bottleneck is removed. For this reason, we developed a decision model founded on fuzzy logic. The result of the fuzzy model is knowledge estimation based on deviation between the required and actual knowledge. For faster decision making, we made a presentation of allocated people on desired roles using the heat map technique. Therefore, the employers make better decisions on actual knowledge allocation, acquiring missing knowledge, or defining knowledge required for the future, which makes them more competitive.
Keywords:knowledge allocation, knowledge management, business processes
Publication status:Published
Publication version:Version of Record
Year of publishing:2013
Number of pages:str. 206-213
Numbering:Letn. 46, št. 5
PID:20.500.12556/DKUM-56987 New window
ISSN:1318-5454
UDC:005.7
ISSN on article:1318-5454
COBISS.SI-ID:7226643 New window
DOI:10.2478/orga-2013-0018 New window
NUK URN:URN:SI:UM:DK:IEB3PNOC
Publication date in DKUM:30.12.2015
Views:1490
Downloads:328
Metadata:XML DC-XML DC-RDF
Categories:Misc.
:
ZAJEC, Maja, KOFJAČ, Davorin and ROBLEK, Matjaž, 2013, Eliminating knowledge bottlenecks using fuzzy logic. Competency management in organization [online]. 2013. Vol. 46, no. 5, p. 206–213. [Accessed 7 April 2025]. DOI 10.2478/orga-2013-0018. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=56987
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Record is a part of a proceedings

Title:Competency management in organization
COBISS.SI-ID:7226131 New window

Record is a part of a journal

Title:Organizacija : revija za management, informatiko in kadre
Shortened title:Organizacija
Publisher:Moderna organizacija
ISSN:1318-5454
COBISS.SI-ID:610909 New window

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:30.12.2015

Secondary language

Language:Slovenian
Title:Odprava zunanjskih ozkih grl z uporabo mehke logike
Abstract:Odločilen pomen pri oblikovanju novih procesov predstavljajo tudi inovacije, ki jih generirajo osebe s pravim znanjem in talentom. Izhajali smo iz dejstva, da vsaka nova sprememba v procesih lahko spremeni strukturo znanja določenega delovnega mesta ali delovne vloge. To pomeni, da oseba, ki zaseda vlogo, lahko postane t. i. znanjsko ozko grlo v procesu. Če se oseba nahaja na časovno kritični poti procesa, potem proces ne daje izhoda v želeni obliki, obsegu ali kvaliteti, kolikor bi ga lahko, če bi znanjska ozka grla razbremenili. V ta namen smo razvili odločitveni model, ki temelji na uporabi mehke logike. Rezultat modela je ocena znanja, ki temelji na odstopanjih med zahtevanim in dejanskim znanjem. Za hitrejše sprejemanje odločitev o razporejanju oseb na vloge glede na njihovo znanje smo uporabili tehniko toplotnega zemljevida. Na podlagi tega bi delodajalci sprejemali boljše odločitve o trenutni razporeditvi znanj, pridobivanju manjkajočega znanja oz. definiranju znanj v prihodnosti, kar jih bo naredilo bolj konkurenčne.
Keywords:razporejanje znanja, management znanja, poslovni procesi


Collection

This document is a part of these collections:
  1. Organizacija

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