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1.
Odprava znanjskih ozkih grl v poslovnih procesih z uporabo mehke logike
Maja Zajec, 2012, master's thesis

Abstract: Želja po večjem, boljšem, hitrejšem in kvalitetnejšem je v nas prisotna že od nekdaj. Da bi lahko dosegli ta cilj, moramo odgovoriti s pravimi poslovnimi in delovnimi procesi. Odločilen pomen pri oblikovanju procesovpredstavljajo 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. S pomočjo le-tega smo pokazali, da se da osebe razporejati ne le na podlagi njihove časovne razpoložljivosti, temveč tudi na podlagi razpoložljivosti njihovega znanja. Rezultat modela je ocena znanja, ki temelji na odstopanjih med zahtevanim in dejanskim znanjem. Zahtevana znanja smo pridobili iz aktivnosti izbranega realnega procesa, dejanska znanja pa so bila ocenjena s pomočjo metode 360°. Za lažjo predstavo in posledično hitrejšega sprejemanja odločitev o razporejanju oseb na vloge glede na njihovo znanje smo uporabili tehniko toplotnega zemljevida. Na podlagi ugotovitev smo potrdili postavljeno hipotezo, da je s pomočjo mehke logike možno razviti odločitveni model, ki bo alociral znanja resursov na delovne vloge glede na zahteve procesov.
Keywords: razporejanje znanja, management znanja, poslovni procesi, poslovna inteligenca, mehka logika
Published: 23.05.2012; Views: 1570; Downloads: 118
.pdf Full text (3,71 MB)

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Are there important differences in success and in organizational culture between family companies in production and service sector in Slovenia?
Maja Zajec, Matjaž Roblek, 2011, original scientific article

Abstract: In this article we will introduce the development of those organizational culture elements, which influence importantly on company successfulness in family companies. The research was performed in 24 Slovenian companies with 524 responded survey questionnaires from field of services, consultancy and computer equipment, trade counter, production, road freight traffic and civil engineering. With this analysis we found out the answer to the question in family loyalty to the company, management style, loyalty and mutual trust system, strategic emphasis, criteria for successful business operations, stimulation (rewarding), process of continuous improvement, business ethics of the company, organization, values of the employees, and satisfaction of the employees in those companies. The collected data are important from the aspect of the organizational culture influence on the future growth or eventually their stagnation.
Keywords: organizational culture, family business, success
Published: 10.07.2015; Views: 427; Downloads: 192
.pdf Full text (693,24 KB)
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4.
Eliminating knowledge bottlenecks using fuzzy logic
Maja Zajec, Davorin Kofjač, Matjaž Roblek, 2013, original scientific article

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
Published: 30.12.2015; Views: 540; Downloads: 176
.pdf Full text (401,09 KB)
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