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Using privacy calculus theory to explore entrepreneurial directions in mobile location-based advertising: Identifying intrusiveness as the critical risk factor

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    197 Citations (Scopus)

    Abstract

    Location-based advertising is an entrepreneurial and innovative means for advertisers to reach out through
    personalised messages sent directly to mobile phones using their geographic location. The mobile phone users'
    willingness to disclose their location and other personal information is essential for the successful im-
    plementation of mobile location-based advertising (MLBA). Despite the potential enhancement of the user ex-
    perience through such personalisation and the improved interaction with the marketer, there is an increasing
    tension between that personalisation and mobile users' concerns about privacy. While the privacy calculus
    theory (PCT) suggests that consumers make privacy-based decisions by evaluating the benefits any information
    may bring against the risk of its disclosure, this study examines the specific risks and benefits that influence
    consumers' acceptance of MLBA. A conceptual model is proposed based on the existing literature and a stan-
    dardised survey was developed and targeted at individuals with known interests in the subject matter. From
    these requests, 252 valid responses were received and used to evaluate the key benefits and risks of MLBA from
    the users' perspectives. While the results confirmed the importance of internet privacy concerns (IPC) as an
    important determinant, they also indicate that monetary rewards and intrusiveness have a notably stronger
    impact on acceptance intentions towards MLBA. Intrusiveness is the most important risk factor in determining
    mobile users' intentions to accept MLBA and therefore establishing effective means of minimising the perceived
    intrusiveness of MLBA can be expected to have the greatest impact on achieving effective communications with
    mobile phone users.
    Original languageEnglish
    Pages (from-to)295-306
    JournalComputers in Human Behavior
    Volume95
    DOIs
    Publication statusPublished - 20 Sept 2018

    Keywords

    • General data protection regulation (GDPR)
    • Internet privacy concerns (IPC)
    • Intriusiveness
    • Mobile location-based advertising (MLBA)
    • Monetary rewards
    • Personalisation
    • Privacy calculus theory (PCT)

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