% This data is distributed under the terms of the Open Data Commons Attribution License (ODC-By) v1.0 - See more at: http://opendatacommons.org/licenses/by/1-0/
% Volume 1, Issue 1, 2014
    @Article{OJIS-v1i1n01_Lemire,
        title     = {Introductory Editorial},
        author    = {Daniel Lemire},
        journal   = {Open Journal of Information Systems (OJIS)},
        issn      = {2198-9281},
        year      = {2014},
        volume    = {1},
        number    = {1},
        pages     = {1--2},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-201705194678},
        urn       = {urn:nbn:de:101:1-201705194678},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {The Open Journal of Information Systems is a new open-access journal covering all aspects of information systems. In this introductory issue, we present two articles. In the first article, Kessler et al. present new techniques to achieve better anonymity in time series. In the second article, Iivari introduces a new model from which we can derive recommendations to improve the use of social network services.}
    }
    @Article{OJIS-v1i1n02_Kessler,
        title     = {Pattern-sensitive Time-series Anonymization and its Application to Energy-Consumption Data},
        author    = {Stephan Kessler and
                     Erik Buchmann and
                     Thorben Burghardt and
                     Klemens B{\"o}hm},
        journal   = {Open Journal of Information Systems (OJIS)},
        issn      = {2198-9281},
        year      = {2014},
        volume    = {1},
        number    = {1},
        pages     = {3--22},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-201705194696},
        urn       = {urn:nbn:de:101:1-201705194696},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {Time series anonymization is an important problem. One prominent example of time series are energy consumption records, which might reveal details of the daily routine of a household. Existing privacy approaches for time series, e.g., from the field of trajectory anonymization, assume that every single value of a time series contains sensitive information and reduce the data quality very much. In contrast, we consider time series where it is combinations of tuples that represent personal information. We propose (n; l; k)-anonymity, geared to anonymization of time-series data with minimal information loss, assuming that an adversary may learn a few data points. We propose several heuristics to obtain (n; l; k)-anonymity, and we evaluate our approach both with synthetic and real data. Our experiments confirm that it is sufficient to modify time series only moderately in order to fulfill meaningful privacy requirements.}
    }
    @Article{OJIS-v1i1n03_Iivari,
        title     = {Perceived Sociability of Use and Individual Use of Social Networking Sites - A Field Study of Facebook Use in the Arctic},
        author    = {Juhani Iivari},
        journal   = {Open Journal of Information Systems (OJIS)},
        issn      = {2198-9281},
        year      = {2014},
        volume    = {1},
        number    = {1},
        pages     = {23--53},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-201705194708},
        urn       = {urn:nbn:de:101:1-201705194708},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {This paper investigates determinants of individual use of social network sites (SNSs). It introduces a new construct, Perceived Sociability of Use (PSOU), to explain the use of such computer mediated communication applications. Based on a field study of 113 Facebook users it shows that PSOU in the sense of maintaining social contacts is a significant predictor of Perceived Benefits (PB), Perceived Enjoyment (PE), attitude toward use and intention to use. Inspired by Benbasat and Barki, this paper also attempts to answer questions "what makes the system useful", "what makes the system enjoyable to use" and "what makes the system sociable to use". As a consequence it pays special focus on systems characteristics of IT applications as potential predictors of PSOU, PB and PE, introducing seven such designable qualities (user-to-user interactivity, user identifiability, system quality, information quality, usability, user-to-system interactivity, and aesthetics). The results indicate that especially satisfaction with user-to-user interactivity is a significant determinant of PSOU, and that satisfactions with six of these seven designable qualities have significant paths in the proposed nomological network.}
    }