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Title:Analiza spletišč javnega sektorja in možne izboljšave za večjo dostopnost
Authors:ID Brečko, Saša (Author)
ID Rajkovič, Vladislav (Mentor) More about this mentor... New window
Files:.pdf MAG_Brecko_Sasa_2010.pdf (3,56 MB)
MD5: 16D735FF1324703D82B9D9C0CBD524B7
PID: 20.500.12556/dkum/9f4b2101-1604-472e-904d-f6fea3d05fcf
 
Language:Slovenian
Work type:Master's thesis
Organization:FOV - Faculty of Organizational Sciences in Kranj
Abstract:V magistrski nalogi predstavljamo model analize spletišč javnega sektorja, ki omogoča večparametrsko hierarhično strukturno analizo trdih in mehkih podatkov spletišč. Gre za management znanja o spletiščih, ki vodi v izboljšave le teh s prvenstvenim ciljem večje dostopnosti. Podatke za razvoj večparametrskega modela, izdelanega s pomočjo orodja DEXi, črpamo iz lastne raziskave. Razviti model ocenjuje posamezno spletno stran javnega sektorja. Je praktično testiran in ovrednoten, omogoča večjo razumljivost ter lažje prepoznavanje dejavnikov, ki vplivajo na dostopnost spletnih strani. Vzporedno z modelom je vrednotenje podatkov potekalo tudi s pomočjo analize SWOT. V skladu z obema metodama in s pomočjo preučevanja literature so podani predlogi izboljšav in možnosti nadaljnjega razvoja za izboljšanje dostopnosti.
Keywords:spletne strani, javni sektor, e-uprava, večparametrsko odločanje, DEXi
Place of publishing:Kranj
Year of publishing:2010
PID:20.500.12556/DKUM-14947 New window
COBISS.SI-ID:6755603 New window
NUK URN:URN:SI:UM:DK:YIVHGBBF
Publication date in DKUM:30.11.2010
Views:2169
Downloads:304
Metadata:XML DC-XML DC-RDF
Categories:FOV
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Secondary language

Language:English
Title:Analysis of public sector websites and how to improve their accessibility
Abstract:This master thesis presents a website analysis model enabling a multi-attribute hierarchical structural analysis of hard and soft website data. It addresses website knowledge management, which leads to website improvement with the primary goal of enhancing accessibility. The data necessary to develop a multi-attribute model using the educational computer program for multi-attribute decision making DEXi are based on our own research. The model assesses individual public sector web pages. It has been tested and evaluated in practice and makes it easier to understand and identify factors that influence web page accessibility. Parallel to this model, the data were also evaluated by a SWOT analysis. Taking into account both methods and relevant literature, the paper suggests website improvements and possibilities for further development to enhance accessibility.
Keywords:web pages, public sector, e-government, multi-attribute decision making, DEXi


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