Impact of different conceptualisations of system use on Facebook continuance

被引：0
作者：
Lallmahomed, Muhammad Z. I. [1 ]
Rahim, Nor Zairah Ab. [1 ]
Ibrahim, Roliana [1 ]
Rahman, Azizah Abdul [1 ]
机构：
[1] Faculty of Computer Science and Information Systems, Universiti Teknologi Malaysia, UTM Skudai, 81310, Johor
来源：
International Journal of Web Based Communities | 2014年 / 10卷 / 01期
关键词：
Continuance; Facebook; Satisfaction; Social networking sites; System use; Usage; Usage dimensions; Web-based communities;
D O I：
10.1504/IJWBC.2014.058387
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This research examines the conceptualisations of system use and its impact on continuance intention to use Facebook. We investigate the relationship between the user, system and task aspect of system use, in the light of numerous calls to explore this construct. A cross-sectional survey of Facebook users was undertaken. This research shows that the user/task aspect of use has a higher relationship with satisfaction as compared to the three aspects combined and the user/system aspect of use has negligible effect on continuance. Moreover, we compare multidimensional and one-dimensional measures of use and our results indicate that one-dimensional measures explain more variance than a multidimensional one. Thus, discarding one-dimensional measures outright may not be appropriate in every context. The most significant predictor of continuance is volume of use and that of satisfaction is cognitive absorption. We discuss the implications of these findings for research and practice and offer recommendations for future research. Copyright © 2014 Inderscience Enterprises Ltd.
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收藏
页码：69 / 93
页数：24
相关论文
共 106 条
[31]  
Ellison N.B., Steinfield C., Lampe C., The benefits of Facebook 'friends': Social capital and college students' use of online social network sites, Journal of Computer Mediated Communication, 12, 4, pp. 1143-1168, (2007)
[32]  
Facebook Statistics, (2011)
[33]  
Festinger L.A., A Theory of Cognitive Dissonance, (1957)
[34]  
Fornell C., Larcker D., Structural equation models with unobservable variables and measurement error, Journal of Marketing Research, 18, 1, pp. 39-50, (1981)
[35]  
Friedman J., Twitter, Facebook Soar As MySpace Sags in US Market Share, (2010)
[36]  
Gallivan M., Spitler V., Koufaris M., Does information technology training really matter? A social information processing analysis of coworkers' influence on IT usage in the workplace, Journal of Management Information Systems, 22, 1, pp. 153-192, (2005)
[37]  
Gaudin S., Twitter, Facebook Keep Soaring As Myspace Slumps, (2009)
[38]  
Gefen D., Straub D.W., Boudreau M., Structural equation modeling techniques and regression: Guidelines for research practice, Communications of AIS, 4, 7, pp. 1-79, (2000)
[39]  
Gil-Or O., Building consumer demand by using viral marketing tactics within an online social network, Advances in Management, 3, 7, pp. 7-14, (2010)
[40]  
Golder S.A., Wilkinson D., Huberman B.A., Rhythms of social interaction: Messaging within a massive online network, Communities and Technologies 2007: Proceedings of the Third Communities and Technologies Conference, pp. 41-66, (2007)
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