Jože Kropivšek (Author), Petra Grošelj (Author), Leon Oblak (Author), Matej Jošt (Author)

Abstract

Recently, partly as a result of the COVID-19 pandemic, companies are increasingly shifting their activities to the Internet environment, thus accelerating the growth of online shopping. The aim of this study was to develop a comprehensive model for the evaluation of websites of wood companies, as a review of the literature shows that such a model does not yet exist. In developing the model, we used an innovative approach and combined the analytic hierarchy process with R-TOPSIS (technique for order of preference by similarity to ideal solution), which is a novelty in this field. For the final website assessment, the Website Quality Index (WQI) was developed. The main difference to other indexes is that our model has a comprehensive content background (36 criteria and sub-criteria) and a strong mathematical basis, so that it can be used to independently evaluate a single website or to evaluate a larger group of websites from the same industry. We have tested the model on 60 websites of Slovenian wood industry companies with at least ten employees. The results show the low to moderate average quality of the websites, with an average WQI of all evaluated websites of 0.450, indicating only an acceptable website. It has proven to be easy to use, and the results show the reliability of the website rating. Additionally, the designed model is an important tool for industry website developers and the basis for future studies in this field. However, it can also be applied to other areas related to wood and wood products, where the performance of objects should be evaluated with respect to multiple criteria.

Keywords

lesarska podjetja;ocena spletnih strani;analitični hierarhični proces;wood;wood products;websites evaluation;analytic hierarchy process;R-TOPSIS;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL BF - Biotechnical Faculty
UDC: 674
COBISS: 65801475 Link will open in a new window
ISSN: 1999-4907
Views: 321
Downloads: 93
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: Slovenian
Secondary keywords: lesarska podjetja;ocena spletnih strani;analitični hierarhični proces;
Type (COBISS): Article
Pages: 24 str.
Volume: ǂiss. ǂ12
Issue: ǂarticle ǂ706
Chronology: 2021
DOI: 10.3390/f12060706
ID: 12994076