IDEAS home Printed from https://ideas.repec.org/a/eee/ininma/v37y2017i3p166-176.html
   My bibliography  Save this article

Designing the information architecture of a complex website: A strategy based on news content and faceted classification

Author

Listed:
  • Ruzza, Mirko
  • Tiozzo, Barbara
  • Mantovani, Claudio
  • D’Este, Fabiano
  • Ravarotto, Licia

Abstract

Information architecture (IA) is an essential component of a website, and its design significantly impacts the user experience. Within complex, large-scale organizational settings, the practice of IA must address a number of critical management issues. This paper describes a pilot action research project whose aim was to develop and test a model for designing the IAs of complex institutional websites. The resulting model is based on the strategic use of news content organized in accordance with a faceted classification approach. The model was piloted during the redevelopment of the website of the Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), a large Italian healthcare and research organization. Based on the collected data, the proposed IA model was found to effectively manage the website and to greatly reduce the need for structural changes in the 12 months after the intervention. The model also permits the collection of web analytics data that can be useful for web content editors and organization managers. Further research will be needed to validate or improve the model.

Suggested Citation

  • Ruzza, Mirko & Tiozzo, Barbara & Mantovani, Claudio & D’Este, Fabiano & Ravarotto, Licia, 2017. "Designing the information architecture of a complex website: A strategy based on news content and faceted classification," International Journal of Information Management, Elsevier, vol. 37(3), pages 166-176.
  • Handle: RePEc:eee:ininma:v:37:y:2017:i:3:p:166-176
    DOI: 10.1016/j.ijinfomgt.2017.02.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0268401216304030
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijinfomgt.2017.02.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sally Burford, 2011. "Complexity and the practice of web information architecture," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(10), pages 2024-2037, October.
    2. Sally Burford, 2014. "A grounded theory of the practice of web information architecture in large organizations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(10), pages 2017-2034, October.
    3. Plaza, Beatriz, 2011. "Google Analytics for measuring website performance," Tourism Management, Elsevier, vol. 32(3), pages 477-481.
    4. Sally Burford, 2011. "Complexity and the practice of web information architecture," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(10), pages 2024-2037, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mauricio B. Almeida & Eduardo R. Felipe & Renata Barcelos, 2020. "Toward a document‐centered ontological theory for information architecture in corporations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(11), pages 1308-1326, November.
    2. Karol Król & Dariusz Zdonek, 2020. "Aggregated Indices in Website Quality Assessment," Future Internet, MDPI, vol. 12(4), pages 1-23, April.
    3. Georgios Filippou & Athanasios G. Georgiadis & Ashish Kumar Jha, 2024. "Establishing the link: Does web traffic from various marketing channels influence direct traffic source purchases?," Marketing Letters, Springer, vol. 35(1), pages 59-71, March.
    4. Burford, Sally & Resmini, Andrea, 2017. "Cross-channel information architecture for a world exposition," International Journal of Information Management, Elsevier, vol. 37(6), pages 547-552.
    5. Vinicius Luiz Ferraz Minatogawa & Matheus Munhoz Vieira Franco & Izabela Simon Rampasso & Rosley Anholon & Ruy Quadros & Orlando Durán & Antonio Batocchio, 2019. "Operationalizing Business Model Innovation through Big Data Analytics for Sustainable Organizations," Sustainability, MDPI, vol. 12(1), pages 1-29, December.
    6. Nantachai Kantanantha & Jiaranai Awichanirost, 2022. "Analyzing and forecasting online tour bookings using Google Analytics metrics," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(3), pages 354-365, June.
    7. Mihai COSTEA & Cristian Valentin HAPENCIUC & Gabriela ARIONESEI, 2017. "THE USE OF THE NEW INFORMATION AND COMMUNICATION TECHNOLOGIES (NICTs) AT THE LEVEL OF BUSINESS IN THE TOURISM INDUSTRY FROM ROMANIA AND THE CEE-EU COUNTRIES," Revista de turism - studii si cercetari in turism / Journal of tourism - studies and research in tourism, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 24(24), pages 1-10, December.
    8. Elena Not, 2021. "Mining mobile application usage data to understand travel planning for attending a large event," Information Technology & Tourism, Springer, vol. 23(3), pages 291-325, September.
    9. Roy, Gobinda & Sharma, Swati, 2021. "Measuring the role of factors on website effectiveness using vector autoregressive model," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    10. Gunter, Ulrich & Önder, Irem, 2016. "Forecasting city arrivals with Google Analytics," Annals of Tourism Research, Elsevier, vol. 61(C), pages 199-212.
    11. France, Stephen L. & Shi, Yuying & Kazandjian, Brett, 2021. "Web Trends: A valuable tool for business research," Journal of Business Research, Elsevier, vol. 132(C), pages 666-679.
    12. Ateca-Amestoy, Victoria & Prieto-Rodriguez, Juan, 2013. "Forecasting accuracy of behavioural models for participation in the arts," European Journal of Operational Research, Elsevier, vol. 229(1), pages 124-131.
    13. Pan, Bing, 2015. "The power of search engine ranking for tourist destinations," Tourism Management, Elsevier, vol. 47(C), pages 79-87.
    14. Di Fatta, Davide & Patton, Dean & Viglia, Giampaolo, 2018. "The determinants of conversion rates in SME e-commerce websites," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 161-168.
    15. Victoria Ateca Amestoy, 2013. "Demand for cultural heritage," Chapters, in: Ilde Rizzo & Anna Mignosa (ed.), Handbook on the Economics of Cultural Heritage, chapter 4, pages i-i, Edward Elgar Publishing.
    16. Pakkala, H. & Presser, K. & Christensen, T., 2012. "Using Google Analytics to measure visitor statistics: The case of food composition websites," International Journal of Information Management, Elsevier, vol. 32(6), pages 504-512.
    17. Darko B. Vukovic & Lubov Spitsina & Ekaterina Gribanova & Vladislav Spitsin & Ivan Lyzin, 2023. "Predicting the Performance of Retail Market Firms: Regression and Machine Learning Methods," Mathematics, MDPI, vol. 11(8), pages 1-23, April.
    18. Anna Podara & Dimitrios Giomelakis & Constantinos Nicolaou & Maria Matsiola & Rigas Kotsakis, 2021. "Digital Storytelling in Cultural Heritage: Audience Engagement in the Interactive Documentary New Life," Sustainability, MDPI, vol. 13(3), pages 1-22, January.
    19. Evangelos Mourelatos & Manolis Tzagarakis, 2018. "An investigation of factors affecting the visits of online crowdsourcing and labor platforms," Netnomics, Springer, vol. 19(3), pages 95-130, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ininma:v:37:y:2017:i:3:p:166-176. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/international-journal-of-information-management .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.