Influence of social networking site and user access method on social media evaluation

The Internet has expanded rapidly and shifted from being solely an information access tool to being an interaction tool used by individuals to discover and share content, opinions, and information. To develop information connections, individuals are using a variety of technologies to access content and join virtual communities on various social networking sites. Of interest to researchers and organizations is the individuals’ perception of social networking sites using the identified dimensions of ease-of-use, usefulness, information quality, feeling, and usage intention. In this Web-based study, 226 participants from a professional discussion group provided information regarding their perceptions of social networking sites and access tool usage. The differences in these perceptions based upon the various access methods and various social networking tools are analyzed and reported. The results from simple main effect tests showed that differences exist in both access methods and social networking tool usage. The usage patterns based upon the access methods can have an impact on the usage behavior of social network sites. High-usage groups have the highest mean values for the perception dimension of ease-of-use for both access method and social networking sites. This suggests that organizations should accommodate and energize mobile users and design changes to their social networking sites to facilitate interaction and information sharing. Copyright © 2011 John Wiley & Sons, Ltd.

[1]  John H. Heinrichs,et al.  Determining factors of academic library Web site usage , 2007 .

[2]  H. J. Kleinsteuber.  The Digital Future , 2003 .

[3]  Terry L. Childers,et al.  HEDONIC AND UTILITARIAN MOTIVATIONS FOR ONLINE RETAIL SHOPPING BEHAVIOR , 2001 .

[4]  Aaron Smith,et al.  Social Media & Mobile Internet Use among Teens and Young Adults. Millennials. , 2010 .

[5]  John H. Heinrichs,et al.  Testing an Integrated Model of E-Shopping Web Site Usage , 2008 .

[6]  Kenneth E. Clow,et al.  Web Site Interaction Satisfaction: Scale Development Considerations , 2008 .

[7]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[8]  G. Zinkhan,et al.  Determinants of Perceived Web Site Interactivity , 2008 .

[9]  Judy Chuan-Chuan Lin,et al.  Towards an understanding of the behavioural intention to use a web site , 2000, Int. J. Inf. Manag..

[10]  Janice Denegri-Knott,et al.  Consumers behaving badly: deviation or innovation? Power struggles on the web , 2006 .

[11]  A. Acar,et al.  Online Social Networks and Insights into Marketing Communications , 2007 .

[12]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[13]  June Lu,et al.  Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology , 2005, J. Strateg. Inf. Syst..

[14]  Pin Luarn,et al.  AIS Electronic Library (AISeL) , 2017 .

[15]  S. O'Donohoe,et al.  Groundswell: Winning in a World Transformed by Social Technologies , 2008 .

[16]  Hans van der Heijden,et al.  User Acceptance of Hedonic Information Systems , 2004, MIS Q..

[17]  Hsiu-Fen Lin,et al.  The role of online and offline features in sustaining virtual communities: an empirical study , 2007, Internet Res..

[18]  Danah Boyd,et al.  Social Network Sites: Definition, History, and Scholarship , 2007, J. Comput. Mediat. Commun..

[19]  Chin-Lung Hsu,et al.  Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation , 2008, Inf. Manag..

[20]  Robin L. Wakefield,et al.  Mobile computing: a user study on hedonic/utilitarian mobile device usage , 2006, Eur. J. Inf. Syst..

[21]  J. Heller,et al.  Some men like it black, some women like it pink: consumer implications of differences in male and female website design , 2006 .

[22]  A. Göritz,et al.  Perceived trustworthiness of online shops , 2008 .

[23]  Chei Sian Lee,et al.  Indagator: Investigating perceived gratifications of an application that blends mobile content sharing with gameplay , 2010 .

[24]  Jang-Sun Hwang,et al.  Measures of Perceived Interactivity: An Exploration of the Role of Direction of Communication, User Control, and Time in Shaping Perceptions of Interactivity , 2002 .

[25]  Thompson S. H. Teo,et al.  Intrinsic and extrinsic motivation in Internet usage , 1999 .

[26]  Chih-Chien Wang,et al.  Extending the technology acceptance model to mobile telecommunication innovation: The existence of network externalities , 2008 .

[27]  Patricia G. Lange.  Publicly Private and Privately Public: Social Networking on YouTube , 2007, J. Comput. Mediat. Commun..

[28]  Per E. Pedersen,et al.  Intentions to use mobile services: Antecedents and cross-service comparisons , 2005 .