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Information quality dimensions analysis of Slovenian companies' websites

Matic Jazbec (2016) Information quality dimensions analysis of Slovenian companies' websites. EngD thesis.

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    Over the last decade the World Wide Web became the most popular media through which the companies introduce themselves and advertise their products or services. Web presentation can bring about the crucial competitive advantage, therefore, it is imperative that it is of the highest quality possible. There are various ways of presenting oneself on the internet and it depends on the individual companies which approach they will take. Some companies decide on the website portals' advertising specialized in the connection between the customer and provider of the service or product, others keep in contact with their clients via social media, and some create their own website portals and o�er their users a unique contact experience. The purpose of this thesis is to develop a web crawler that would collect information from the websites of Slovenian companies and their pro�les on social networks and apply a model for evaluating the quality of information. The solution is implemented as a .NET console application that uses HTTP client to obtain web content and query languages such as xPath and LINQ, to extract the relevant data. Extracted data is stored in Microsoft SQL Server. Statistical analysis is then conducted to identify the relations between measured features and join them into common information quality dimensions. It turns out that we can �nd and explain the variance in information quality among the websites of Slovenian companies based on their size and business type.

    Item Type: Thesis (EngD thesis)
    Keywords: web site effectiveness, information quality, web crawlers, web scraping, parsing
    Number of Pages: 59
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    doc. dr. Dejan Lavbič302Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537211331)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 3558
    Date Deposited: 12 Sep 2016 13:28
    Last Modified: 17 Oct 2016 14:28
    URI: http://eprints.fri.uni-lj.si/id/eprint/3558

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