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    Title: Determinants of the intention to continue use of SoLoMo services: Consumption values and the moderating effects of overloads
    Authors: Yang, Heng Li;Lin, R.-X.
    楊亨利
    Contributors: 資管系
    Keywords: Behavioral research;Social sciences computing;Surveys;Telecommunication services;Consumption values;Continuance intentions;Information overloads;Moderating effect;Social overload;SoLoMo services;Location based services;drawing;human;Internet;least square analysis;leisure;social interaction;structural equation modeling;theoretical model
    Date: 2017-08
    Issue Date: 2017-05-08 14:40:57 (UTC+8)
    Abstract: The advancement of social network services, location-based services, and mobile technologies has made communication and searching possible anywhere, anytime. There are many new integration services, referred to as “SoLoMo” services. Understanding the determinants of the continuance of SoLoMo services is important for both researchers and practitioners. Owing to the synthetic nature of SoLoMo services, users may receive too much information and too many social requests, which may decrease the value of these services. Thus, our research objective is to identify potential determinants and to examine the moderating role of information overload and social overload on those determinants. A sample survey was conducted on the internet. For testing moderation effects, this study adopts the partial least square, a component-based structural equation modeling technique. Drawing on the theory of consumption values and based on the reported experiences of 451 SoLoMo service users, our survey`s results indicate that perceived convenience (functional value), social relationship maintenance (social value), perceived relaxation (emotional value), perceived novelty (epistemic value), and perceived fashion (fashion value) have significant and positive effects on the continuance intention of SoLoMo services. Meanwhile, information overload and social overload have significant moderating effects on certain consumption values. © 2017 Elsevier Ltd
    Relation: Computers in Human Behavior, 73, 583-595
    Data Type: article
    DOI link: http://dx.doi.org/10.1016/j.chb.2017.04.018
    DOI: 10.1016/j.chb.2017.04.018
    Appears in Collections:[Department of MIS] Periodical Articles

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