The Effects of User and Social Characteristics on Continuous Use Intention among Corporate Mobile SNS Users - With a Focus on Extended Technological Acceptance Model
AUTHORS
Joon-Hee Kim,Adjunct Professor, Hoseo Univ., 212-1103, 346-2, Sangdo-ro, Dongjak-gu, Seoul, Republic of Korea
Myeong-Suk Kim,Audit, Joystone Co., 15 Mapodae-ro, Mapo-gu, Seoul, Republic of Korea
Ryung-Kee Hong,Director, Aju Pharm, 71-2 Jinheung-ro, Unpyung-gu, Seoul, Republic of Korea
Jong-Wook Ko*,Professor, Dept. Public Administration, Anyang Univ., 37-22 Samdek-ro, Manan-gu, Anyang, Gyeonggi-do, Korea
ABSTRACT
The purpose of this study was to investigate the effects of user and social characteristics on continuous use intention among corporate mobile SNS users. Based on the extended technology acceptance model, this study examined user characteristics (personal innovativeness, personal familiarity) and social characteristics (social effects, social interaction) as independent variables of continuous use intention and perceived easiness and perceived usefulness as mediating variables. The data of this study were collected from 332 corporate mobile SNS users with structured questionnaires and analyzed using the SEM technique. This study found that four user and social characteristics variables have positive effects on the two mediating variables and that the two mediating variables positively impacted continuous use intention. Theoretical implications of the findings were discussed and the policy proposals were suggested.
KEYWORDS
Corporate mobile SNS, User characteristics, Social characteristics, Continuous use intention
REFERENCES
[1] F. D. Davis, R. P. Bagozzi, and P. R. Warshaw, “Extrinsic and intrinsic motivation to use computers in the workplace,” Journal of Applied Social Psychology, vol.22, no.14, pp.1111-1132
[2] F. D. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Quarterly, vol.13, no.3, pp.319-340
[3] M. S. Choi, “A study on the influence of factors such as personal innovativeness, social influence and user interface on smart phone acceptance: Based on an expanded technology acceptance model,” Division of Media the Graduate School of Ewha Womans University, (2011)
[4] V. Venkatesh and H. Bala, “Technology acceptance model 3 and a research agenda on interventions,” Decision Sciences, (2008), vol.39, no.2, pp.273-315
[5] V. Venkatesh and F. D. Davis, “A theoretical extension of the technology acceptance model: Four longitudinal field studies”, Management science, (2000), vol.46, no.2, pp.186-204
[6] R. Agarwal and E. Karahanna, “Time flies when you're having fun: cognitive absorption and beliefs about information technology usage,” MIS Quarterly, (2000), vol.24, no.4, pp.665-694
[7] J. Kishoe, L. Patnaik, V. Mani, and V. Agrawal, “Genetic programming-based pattern classification with feature space partitioning,” Information Sciences, (2001), vol.131, no.4, pp.65-86
[8] H. Vekasalo, C. Lopez-Nicolas, F. J. Molina-Castillo, and H. Bouwman, “Analysis of users and non-users of smartphone applications,” Telematics and Informatics, (2010), vol.27, no.3, pp.242-255
[9] C. K. Keum and B. G. Kim, “A study on the influence of the enterprise mobile network service on continue use intention,” Journal of Information Systems, spring, no.1, pp.906-912, (2014)
[10] J. H. Kim and K. S. Ha, “The study of the effects of the enterprise mobile network service on user satisfaction and the continuous use intention,” Journal of Digital Convergence, (2012), vol.10, no.8, pp.135-148
[11] F. Buelingen and M. Woerter, “Development perspectives, firm strategies and applications in mobile commerce,” Journal of Business Research, (2004), vol.57, no.12, pp.1402-1408
[12] E. M. Rogers, “Diffusion of innovations 5th ed,” Free Press, (2003)
[13] V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, “User acceptance of information technology: Toward a unified view,” MIS Quarterly, (2003), vol.27, No.3, pp. 425-478
[14] J. Y. L. Thong, S. J. Hong, and K. Y. Tam, “The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance,” International Journal of Human-Computer Studies, (2006), vol.64, no.9, pp.799-810