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Aggregated Indices in Website Quality Assessment

Author

Listed:
  • Karol Król

    (Department of Land Management and Landscape Architecture, Faculty of Environmental Engineering and Land Surveying, University of Agriculture in Kraków, Balicka 253c, 30-149 Kraków, Poland)

  • Dariusz Zdonek

    (Department of Economics and Informatics, Faculty of Organization and Management, Silesian University of Technology in Gliwice, Akademicka 2A, 44-100 Gliwice, Poland)

Abstract

Website users have increasingly high expectations regarding website quality, starting from performance and ending up with the content. This article provides a list and characteristics of selected website quality indices and testing applications that are available free of charge. Aggregated website quality indices were characterised based on a review of various source materials, including the academic literature and Internet materials. Aggregated website quality indices are usually developed with a less specialised user (customer) searching for descriptive information in mind. Their presentation is focused on aesthetic sensations. Most frequently, their values are expressed in points or percent. Many of these indices appear to be of little substantive value, as they present approximate, estimated values. These indices, however, are of great marketing value instead. Specific (“single”) indices are of a specialised nature. They are more difficult to interpret and address the subtle aspects of website and web application functioning. They offer great value to designers and software developers. They indicate critical spots which affect the website quality. Most of them are expressed precisely, often up to two or three decimal places, in specific units. Algorithmic tests for website quality, whose results are presented using indices, enable a reduction in the cost intensiveness of tests as well as an increase in their number and frequency, as the tests are repetitive and their number is not limited. What is more, they allow the results to be compared.

Suggested Citation

  • Karol Król & Dariusz Zdonek, 2020. "Aggregated Indices in Website Quality Assessment," Future Internet, MDPI, vol. 12(4), pages 1-23, April.
    • Handle: RePEc:gam:jftint:v:12:y:2020:i:4:p:72-:d:346986
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    References listed on IDEAS

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    1. Gao, Lingling & Bai, Xuesong, 2014. "Online consumer behaviour and its relationship to website atmospheric induced flow: Insights into online travel agencies in China," Journal of Retailing and Consumer Services, Elsevier, vol. 21(4), pages 653-665.
    2. Lo, Kin & Ramos, Felipe & Rogo, Rafael, 2017. "Earnings management and annual report readability," Journal of Accounting and Economics, Elsevier, vol. 63(1), pages 1-25.
    3. Belanche, Daniel & Casaló, Luis V. & Guinalíu, Miguel, 2012. "Website usability, consumer satisfaction and the intention to use a website: The moderating effect of perceived risk," Journal of Retailing and Consumer Services, Elsevier, vol. 19(1), pages 124-132.
    4. Tim Loughran & Bill Mcdonald, 2014. "Measuring Readability in Financial Disclosures," Journal of Finance, American Finance Association, vol. 69(4), pages 1643-1671, August.
    5. Plaza, Beatriz, 2011. "Google Analytics for measuring website performance," Tourism Management, Elsevier, vol. 32(3), pages 477-481.
    6. repec:dau:papers:123456789/4623 is not listed on IDEAS
    7. Ascensión Barroso & Óscar R. González-López & Ramón Sanguino & María Buenadicha-Mateos, 2018. "Analysis and Evaluation of the Largest 500 Family Firms’ Websites through PLS-SEM Technique," Sustainability, MDPI, vol. 10(2), pages 1-22, February.
    8. S. Rolland & Ina Freeman, 2010. "A new measure of e-service quality in France," Post-Print hal-00576616, HAL.
    9. Sukhjit Singh Sehra & Jaiteg Singh & Hardeep Singh Rai, 2017. "Assessing OpenStreetMap Data Using Intrinsic Quality Indicators: An Extension to the QGIS Processing Toolbox," Future Internet, MDPI, vol. 9(2), pages 1-22, April.
    10. Chi, Ting, 2018. "Understanding Chinese consumer adoption of apparel mobile commerce: An extended TAM approach," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 274-284.
    11. Andreas Giannakoulopoulos & Nikos Konstantinou & Dimitris Koutsompolis & Minas Pergantis & Iraklis Varlamis, 2019. "Academic Excellence, Website Quality, SEO Performance: Is there a Correlation?," Future Internet, MDPI, vol. 11(11), pages 1-25, November.
    12. Dickinger, Astrid & Stangl, Brigitte, 2013. "Website performance and behavioral consequences: A formative measurement approach," Journal of Business Research, Elsevier, vol. 66(6), pages 771-777.
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    Cited by:

    1. Karol Król & Dariusz Zdonek, 2021. "The Quality of Infectious Disease Hospital Websites in Poland in Light of the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(2), pages 1-19, January.
    2. Mazzoni Leonardo & Pinelli Fabio & Riccaboni Massimo, 2023. "Measuring Corporate Digital Divide with web scraping: Evidence from Italy," Papers 2301.04925, arXiv.org.

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