Taksonomski model digitalne preobrazbe lokalnih skupnosti in njegova uporaba za vrednotenje digitalne zrelosti slovenskih občin

doktorska disertacija

Arian Debeljak (Author), Mitja Dečman (Mentor)

Abstract

Zaradi hitrega razvoja tehnologij so te čedalje bolj prisotne v vseh vejah znanosti in segmentih družbe. Zato se je mogoče srečati s pojavom digitalne preobrazbe (DP) pravzaprav na vseh področjih ne glede na sektor (izobraževanje, bančništvo, javna uprava, proizvodnja itd.). Lahko bi rekli, da je DP »vseprisotna«. Ta vseprisotnost je s tehnološkega in uporabniškega vidika po eni strani razumljiva in pričakovana, po drugi strani pa raziskovalcem otežuje celostno obravnavo pojava, kar se kaže v omejenem številu taksonomij, ki poskušajo DP nekega področja, npr. javne ali lokalne uprave, zajeti celostno. Namen doktorske disertacije je zasnovati taksonomski model, ki razumljivo in celovito opredeljuje področja DP v lokalni skupnosti (LS), omogoča uvid v strukturo DP in s tem lažje razumevanje priložnosti, ki jih DP ponuja, ter je za lokalne skupnosti vodnik, na kaj vse je treba biti pozoren na poti DP. V empiričnem delu disertacije se celostno pristopi k pojavu DP v LS in oblikuje taksonomski model DP v LS, ki razumljivo predstavi vsa področja DP v LS in dimenzije, skozi katere potujejo elementi posameznih področij v procesu DP. Za oblikovanje taksonomskega modela celostne DP v LS je prvič v Sloveniji uporabljena metoda razširjenega postopka oblikovanja taksonomije (RPOT). Sledi ji oblikovanje strukturiranega modela digitalne zrelosti (DZ), ki temelji na poprej zasnovanem taksonomskem modelu, in je uporabljen kot element vrednotenja zrelosti DP v posamezni LS in primerjave med vrednotenji zrelosti DP drugih LS. Ugotovitve pokažejo, da večina slovenskih LS dosega visoko stopnjo DZ. Glede na to, da se o vplivu velikosti LS po prebivalcih na raven DZ v literaturi še vedno razpravlja, se preuči še potencialna odvisnost DZ lokalne skupnosti od njene velikosti po dejanskem številu prebivalcev in po prebivalcih, razporejenih v velikostne razrede. V obeh primerih je rezultat testa korelacije pokazal statistično značilnost, kar pomeni, da je mogoče trditi, da korelacija obstaja in da velikost posamezne LS po prebivalcih vpliva na njeno DZ. Nadalje se z analizo latentnih profilov (LPA) v opazovanih podatkih poiščejo še skrite podskupine LS oz. profili z nekaterimi skupnimi značilnostmi, saj se želi ugotoviti, ali rezultati analize LPA korelirajo z demografskim podatkom velikosti LS po prebivalcih. Ugotovitve pokažejo, da dva od štirih prepoznanih skritih profilov LS korelirata z velikostjo po prebivalcih. Raziskava prispeva k celostnemu razumevanju pojava DP na lokalni ravni in širi uporabo oblikovanega taksonomskega modela v praksi.

Keywords

digitalna preobrazba;digitalna zrelost;analiza latentnih profilov;

Data

Language:	Slovenian
Year of publishing:	2025
Typology:	2.08 - Doctoral Dissertation
Organization:	UL FU - Faculty of Administration
Publisher:	[A. Debeljak]
UDC:	352:004.9:303.722.4(043.3)
COBISS:	241299203
Views:	154
Downloads:	52
Average score:	0 (0 votes)
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Other data

Secondary language:	English
Secondary title:	Taxonomic model of digital transformation of local communities and its use for evaluating the digital maturity of Slovenian municipalities
Secondary abstract:	The rapid development of technologies has led to their increasing presence in all fields of science and in all segments of society. As a result, the emergence of Digital Transformation (DT) can be found in virtually all areas, regardless of the sector (education, banking, public administration, manufacturing, etc.), one could say that DT is "ubiquitous". This ubiquity is on the one hand understandable and expected from a technological and user point of view, but on the other hand it makes it difficult for researchers to approach the phenomenon in a holistic way, which is reflected in the limited number of taxonomies that try to capture the DT of a domain, e.g. public or local administration, in a holistic way. The aim of the thesis is to develop a taxonomic model that defines the domains of DT in the local community (LC) in a comprehensible and holistic way, provides insight into the structure of DT itself and thus facilitates the understanding of the opportunities that DT offers, and serves as a guide for LCs on what to look out for in the DT journey. The empirical part of the thesis takes a holistic approach to the phenomenon of DT in LCs and develops a taxonomic model of DT in LCs, which presents in a comprehensible way all the domains of DT in LCs and the dimensions through which the elements of each domain pass in the DT process. For the first time in the Slovenian context, the ETDP method (Extended Taxonomy Development Procedure) is used to develop a taxonomic model of the whole DT in LC. Subsequently, a structured digital maturity (DM) model is developed based on the previously developed taxonomic model, which is used as an element for evaluating the maturity of DT in the LC and for comparing the maturity of DT in the other LCs. The results show that the majority of Slovenian LCs reach a high level of DM. As the impact of the size of the LCs by population on the level of the DM is still debated in the literature, the possible dependence of the DM of the LC size by its actual population and by population size classes is further investigated. In both cases, the result of the correlation test showed statistical significance, which means that it can be argued that a correlation exists and that the size of the LC by population has an impact on its DM. A latent profile analysis (LPA) is also performed to find hidden subgroups of LCs or profiles with certain common characteristics in the observed data, in order to determine whether the results of the LPA analysis correlate with the demographic information on the size of LC by population. The results show that two of the four hidden LCs profiles identified correlate with size by population. The study contributes vii to a holistic understanding of the phenomenon of DT at the local level and extends the practical application of the taxonomic model developed.
Secondary keywords:	taxonomy;digital transformation;digital maturity;local community;latent profile analysis;Lokalne skupnosti;Disertacije;Digitalizacija;Taksonomija;
Type (COBISS):	Dissertation
Study programme:	1001019
Thesis comment:	Univ. v Ljubljani, Fak. za upravo in Univ. na Reki, Ekonomska fak.
Pages:	XXII, 328 str.
ID:	26726709