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      An empirical study on continuance intention of mobile social networking services : Integrating the IS success model, network externalities and flow theory

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      Asia Pacific Journal of Marketing and Logistics
      Emerald

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          Abstract

          Purpose

          – Users' continuance intention is vital to the future of mobile social networking service (SNS) with rapid development and intensive competitions among its providers. The purpose of this research is to identify the factors affecting mobile SNS users' continuance intention.

          Design/methodology/approach

          – Data from an online survey administered to 228 mobile SNS users are used to test the research model through the use of structural equation modelling.

          Findings

          – The results show that flow, perceived usefulness and satisfaction determine continuance intention of mobile SNS. Moreover, the authors found that referent network size and perceived complementarity are the main factors affecting flow, whereas information quality is the main factor affecting perceived usefulness. Only system quality significantly affects satisfaction.

          Practical implications

          – The results imply that mobile service providers need to take the functional characteristics of the mobile SNS (e.g. system quality and information quality), network externalities (referent network size and perceived complementarity) and flow experience into consideration when encouraging users' continuance intention towards mobile SNS.

          Originality/value

          – Extant research has focused on initial adoption and usage of mobile SNS and has seldom considered post-adoption usage, which is critical to mobile service providers' success. This research tries to fill the gap by examining continuance intention to use mobile SNS. The theory embedded within the IS success model, network externalities and flow theory articulated that these three research domains can be integrated to better understand the factors that influence mobile SNS users' continuance intention.

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          Most cited references60

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          Common method biases in behavioral research: A critical review of the literature and recommended remedies.

          Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.
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            Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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              Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology

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                Author and article information

                Journal
                Asia Pacific Journal of Marketing and Logistics
                Emerald
                1355-5855
                April 8 2014
                April 8 2014
                April 8 2014
                April 8 2014
                : 26
                : 2
                : 168-189
                Article
                10.1108/APJML-07-2013-0086
                acebf04f-9b71-4f65-aa90-ec3d446fce4b
                © 2014

                https://www.emerald.com/insight/site-policies

                History

                Quantitative & Systems biology,Biophysics
                Quantitative & Systems biology, Biophysics

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