20.500.12556/ReVIS-9673 The dynamic of employee population of different characteristics in principal - agent model based relationship with employer doctoral dissertation Dinamika zaposlenega prebivalstva z različnimi zanačilnostmi v glavnem - agentskem modelu, ki temelji na razmerju z delodajalcem V današnjem času je dinamika sprememb takšna, da moramo najti inovativne in kreativne načine za obvladovanje sprememb, a se tudi prilagajati pogostosti teh sprememb. Dinamika sprememb v vedenju ljudi, njihovem odnosu do dela in kaj jih motivira, so postale glavne preokupacije vodilnih v organizaciji, ki se zavedajo, da kakovostno vodenje ljudi in njihova motivacija naredijo organizacijo učinkovitejšo in nenazadnje uspešnejšo na trgu. Ključno je zavedanje, da strategija upravljanja z ljudmi ne more biti enaka za vse, ampak jo je treba prilagoditi različnim vrstam zaposlenih. Zato so v doktorski disertaciji vsi zaposleni v organizaciji razdeljeni na tri tipe, ki so si vsi homogeni po stopnji zavzetosti za organizacijo, odnosu do dela in motivaciji. Z definiranjem funkcij uporabnosti in plačila za vsako vrsto zaposlenih se modelira vedenje vsake vrste skozi čas (dolgoročno in kratkoročno). Proces modeliranja in analize rezultatov je podprt z uporabo osnovnih principov teorije iger, evolucijske teorije iger in dinamike replikatorja. Dobljeni rezultati kažejo, da se lahko organizacija, če pozna izhodiščno populacijsko strukturo svojih zaposlenih, pravočasno odloči in usmeri gibanje strukture k želenemu stabilnemu stanju, kjer so stroški optimalni. Razvit metodološki okvir odpira številne možnosti, vključno z dodajanjem novih spremenljivk, za razširitev modela, kar posledično odpira možnost podrobnejših analiz in konkretnejših usmeritev pri sprejemanju še boljših odločitev, ki se odražajo v boljših organizacijskih rezultatih. Nowadays, the dynamics of change are such that we need to find an innovative and creative ways to manage changes, but also to adapt to the frequency of these changes. The dynamics of changes in people's behaviour, their attitudes towards work, and what motivates them have become the main preoccupations of leaders in the organization, who are aware that quality people management and their motivation make the organization more efficient and ultimately more successful in the market. It is crucial to become aware that people management strategy cannot be the same for everyone but needs to be tailored to different types of employees. Therefore, in this dissertation, all employees of the organization are divided into three types, which are all homogeneous within the level of engagement to the organization, their attitude towards work, and motivation. By defining the utility and payment functions for each type of employee, the behaviour of each type over time (long and short run) is modelled. The process of modelling and analysis of results is supported by using the basic principles of the game theory, the evolutionary game theory, and the replicator dynamics. The obtained results show that, if the organization knows the initial population structure of its employees, it can make decisions in time and direct the movement of the structure towards the desired stable state where the costs are optimal. The developed methodological framework opens up a number of possibilities, including the addition of new variables, to expand the model, which in turn opens the possibility of more detailed analyses and more specific directions in making even better decisions that are reflected in better organizational results. principal - agent model evolucijsko stabilne strategije replikatorska dinamika tip zaposlenega zavzetost doktorska disertacija principal - agent model evolutionarily stable strategies replicator dynamics engagement employee type doctoral dissertation true true false [M. Talajić] Angleški jezik Slovenski jezik Doktorsko delo/naloga 2023-04-25 15:32:48 2023-04-25 15:32:49 2024-12-19 19:13:18 0000-00-00 00:00:00 2022 0 Novo mesto 2022 Novo mesto XXI, 177 str. 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 659.23:004:331.5(043.3) 138051843 DR_2023_Mirko_Talajic.pdf DR_2023_Mirko_Talajic.pdf 1 BA462EB8EE812BB73AB12CD5001F438B cbc4b8f8c10eca89f1783d2c13fc0870a7097c69407cac0e2c3f8e5fd4b921ae 6afc3b14-2899-11ef-9c9e-001a4af901a5 https://revis.openscience.si/Dokument.php?lang=slv&id=10793 Fakulteta za informacijske študije v Novem mestu 0 0 0