http Log Analysis

an Approach to Studying the Use of Web-Based Information Systems

Kristian Billeskov Bøving, Jesper Simonsen

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

    Resumé

    This article documents how log analysis can inform qualitative studies concerning the usage of web-based information systems (WIS). No prior research has used http log files as data to study collaboration between multiple users in organisational settings. We investigate how to perform http log analysis; what http log analysis says about the nature of collaborative WIS use; and how results from http log analysis may support other data collection methods such as surveys, interviews, and observation. The analysis of log files initially lends itself to research designs, which serve to test hypotheses using a quantitative methodology. We show that http log analysis can also be valuable in qualitative research such as case studies. The results from http log analysis can be triangulated with other data sources and for example serve as a means of supporting the interpretation of interview data. It can also be used to generate hypotheses, which were otherwise unthinkable. We suggest that log data be included as a main data source in the field of computer supported cooperative work, information systems, and computer-mediated communication, in order to help clarify the role of the technology related to concepts like coordination, task analysis, or communication.
    OriginalsprogEngelsk
    TidsskriftScandinavian Journal of Information Systems
    Vol/bind16
    Udgave nummer1
    Sider (fra-til)145–174
    ISSN0905-0167
    StatusUdgivet - 2004

    Citer dette

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    title = "http Log Analysis: an Approach to Studying the Use of Web-Based Information Systems",
    abstract = "This article documents how log analysis can inform qualitative studies concerning the usage of web-based information systems (WIS). No prior research has used http log files as data to study collaboration between multiple users in organisational settings. We investigate how to perform http log analysis; what http log analysis says about the nature of collaborative WIS use; and how results from http log analysis may support other data collection methods such as surveys, interviews, and observation. The analysis of log files initially lends itself to research designs, which serve to test hypotheses using a quantitative methodology. We show that http log analysis can also be valuable in qualitative research such as case studies. The results from http log analysis can be triangulated with other data sources and for example serve as a means of supporting the interpretation of interview data. It can also be used to generate hypotheses, which were otherwise unthinkable. We suggest that log data be included as a main data source in the field of computer supported cooperative work, information systems, and computer-mediated communication, in order to help clarify the role of the technology related to concepts like coordination, task analysis, or communication.",
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    http Log Analysis : an Approach to Studying the Use of Web-Based Information Systems. / Bøving, Kristian Billeskov; Simonsen, Jesper.

    I: Scandinavian Journal of Information Systems, Bind 16, Nr. 1, 2004, s. 145–174.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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    AB - This article documents how log analysis can inform qualitative studies concerning the usage of web-based information systems (WIS). No prior research has used http log files as data to study collaboration between multiple users in organisational settings. We investigate how to perform http log analysis; what http log analysis says about the nature of collaborative WIS use; and how results from http log analysis may support other data collection methods such as surveys, interviews, and observation. The analysis of log files initially lends itself to research designs, which serve to test hypotheses using a quantitative methodology. We show that http log analysis can also be valuable in qualitative research such as case studies. The results from http log analysis can be triangulated with other data sources and for example serve as a means of supporting the interpretation of interview data. It can also be used to generate hypotheses, which were otherwise unthinkable. We suggest that log data be included as a main data source in the field of computer supported cooperative work, information systems, and computer-mediated communication, in order to help clarify the role of the technology related to concepts like coordination, task analysis, or communication.

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