Open Access
Issue |
E3S Web Conf.
Volume 31, 2018
The 2nd International Conference on Energy, Environmental and Information System (ICENIS 2017)
|
|
---|---|---|
Article Number | 11014 | |
Number of page(s) | 7 | |
Section | 11. Smart Information Systems | |
DOI | https://doi.org/10.1051/e3sconf/20183111014 | |
Published online | 21 February 2018 |
- F.D. Davis, MIS Q., 13, 319–340 (1989). [Google Scholar]
- N. Marangunic and A. Granic, Univers. Access Inf. Soc., 14, 81–95 (2015). [CrossRef] [Google Scholar]
- F.D. Davis, R.P. Bagozzi, and P.R. Warshaw, Manage. Sci., 35, 982–1003 (1989). [CrossRef] [Google Scholar]
- Q. Zhao, C.-D. Chen, and J.-L. Wang, Telemat. Informatics, 33, 959–972 (2016). [CrossRef] [Google Scholar]
- T.J. Willis, An Evaluation of the Technology Acceptance Model as a Means of Understanding Online Social Networking Behavior, in: Dr. Diss., University of South Florida, (2008). [Google Scholar]
- S. Kemp, Digital in (2016), http://wearesocial.com/sg/special-reports/digital-2016. [Google Scholar]
- A.J. Wicaksono, Suyoto, and Pranowo, A proposed method for predicting US presidential election by analyzing sentiment in social media, in: 2016 2nd Int. Conf. Sci. Inf. Technol., pp. 276–280, (2016), [Google Scholar]
- P. Karampelas, Techniques and Tools for Designing an Online Social Network Platform, in: Springer Vienna, Vienna, pp. 3–13, (2013) [CrossRef] [Google Scholar]
- E. Constantinides, C. Lorenzo-Romero, and M.-C. Alarcón-del-Amo, Social Networking Sites as Business Tool: A Study of User Behavior, in: Ed. by M. Glykas, Bus. Process Manag. Theory Appl., Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 221–240, (2013) [CrossRef] [Google Scholar]
- C.-C.R. Yeh, K.C. Gossmann, and Y.-H. Tao, Acceptance of Online Social Networks as an HR Staffing Tool: Result from a Multi-country Sample, in: Ed. by L. Wang, S. Uesugi, I.-H. Ting, K. Okuhara, and K. Wang, Multidiscip. Soc. Networks Res. Second Int. Conf. MISNC 2015, Matsuyama, Japan, Sept. 1-3, 2015. Proc., Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 70-79, (2015) [Google Scholar]
- S. Garding and A. Bruns, Moving Towards Successful Complaint Management, in: Complain. Manag. Channel Choice An Anal. Cust. Perceptions, Springer International Publishing, Cham, pp. 13–26, (2015) [CrossRef] [Google Scholar]
- A.S. Mattila and J. Wirtz, J. Serv. Mark., 18, 147-155 (2004). [CrossRef] [Google Scholar]
- Y. Namkung, S. (Shawn) Jang, and S.K. Choi, Int. J. Hosp. Manag., 30, 495–502 (2011). [CrossRef] [Google Scholar]
- S. Garding and A. Bruns, Organisational Complaint Management, in: Complain. Manag. Channel Choice An Anal. Cust. Perceptions, Springer International Publishing, Cham, pp. 1–12, (2015) [Google Scholar]
- S. Garding and A. Bruns, Analysis of Customers' Complaint Channel Choice and Complaint Behaviour, in: Complain. Manag. Channel Choice An Anal. Cust. Perceptions, Springer International Publishing, Cham, pp. 35–74, (2015) [CrossRef] [Google Scholar]
- S. Garding and A. Bruns, Conclusions for Organisational Complaint Management and Future Research, in: Complain. Manag. Channel Choice An Anal. Cust. Perceptions, Springer International Publishing, Cham, pp. 75–82, (2015) [CrossRef] [Google Scholar]
- A.M. Kaplan and M. Haenlein, Bus. Horiz., 53, 59–68 (2010). [CrossRef] [Google Scholar]
- I. Ajzen, Organ. Behav. Hum. Decis. Process., 50, 179–211 (1991). [CrossRef] [Google Scholar]
- M. Fishbein and I. Ajzen, An Introd. to Theory Res. Massachussets Addison - Wesley, (1975). [Google Scholar]
- E. Park and A.P. Del Pobil, Wirel. Pers. Commun., 73, 1561–1572 (2013). [CrossRef] [Google Scholar]
- M. Eltayeb and M. Dawson, Understanding User's Acceptance of Personal Cloud Computing: Using the Technology Acceptance Model, in: Ed. by S. Latifi, Inf. Technol. New Gener. 13th Int. Conf. Inf. Technol., Springer International Publishing, Cham, pp. 3–12, (2016) [Google Scholar]
- C. Yoon, C. Jeong, and E. Rolland, Inf. Technol. Manag., 16, 139–151 (2015). [CrossRef] [Google Scholar]
- J.C.M.R. Pinho and A.M. Soares, J. Res. Interact. Mark., 5, 116–129 (2011). [CrossRef] [Google Scholar]
- Y.-K. Chiu and C.-W. Huang, Using Behavior of Social Network Sites Based on Acceptance Model, in: Ed. by Y. Yang, M. Ma, and B. Liu, Inf. Comput. Appl. 4th Int. Conf. ICICA 2013, Singapore, August 16-18, 2013 Revis. Sel. Pap. Part II, Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 57–66, (2013) [Google Scholar]
- S.J. Kwon, E. Park, and K.J. Kim, Soc. Sci. J., 51, 534–544 (2014). [CrossRef] [Google Scholar]
- S.-Y. Hung, J.C.-A. Tsai, and S.-T. Chou, Inf. Manag., 53, 698–716 (2016). [CrossRef] [Google Scholar]
- S. Seol, H. Lee, J. Yu, and H. Zo, Inf. Manag., (2016). [Google Scholar]
- H.C.-P. Ernst, The Influence of Perceived Belonging on Social Network Site Usage BT-Factors Driving Social Network Site Usage, in: Ed. by H.C.-P. Ernst, Springer Fachmedien Wiesbaden, Wiesbaden, pp. 29–44, (2015)/ [Google Scholar]
- S. Mouakket, Comput. Human Behav., 53, 102-110 (2015). [CrossRef] [Google Scholar]
- C.-L. Hsu, C.-C. Yu, and C.-C. Wu, Inf. Syst. E-Bus. Manag., 12, 139–163 (2014). [CrossRef] [Google Scholar]
- V. Balakrishnan, Univers. Access Inf. Soc., 1–13 (2016). [Google Scholar]
- J.F. Hair, R.E. Anderson, R.L. Tatham, and W.C. Black, “Multivariate Data Analysis with Readings”, 4th ed., Prentice-Hall, Englewood Cliffs (1995). [Google Scholar]
- H. Baumgartner and C. Homburg, Int. J. Res. Mark., 13, 139–161 (1996). [CrossRef] [Google Scholar]
- J.F. Hair, R.E. Anderson, R.L. Tatham, and W.C. Black, “Multivariate Data Analysis”, 5th ed., Prentice-Hall, Upper Saddle (1998). [Google Scholar]
- R.P. Bagozzi and Y. Yi, J. Acad. Mark. Sci., 16, 74–94 (1988). [CrossRef] [Google Scholar]
- L. Hu and P.M. Bentler, Struct. Equ. Model. A Multidiscip. J., 6, 1–55 (1999). [CrossRef] [Google Scholar]
- J.F. Hair, W.C. Black, B.J. Babin, and R.E. Anderson, “Multivariate Data Analysis”, 7th ed., Prentice-Hall, Upper Saddle (2009). [Google Scholar]
- J. Nunnally, “Psychometric theory”, 2nd ed., McGraw-Hill, New York, NY (1978). [Google Scholar]
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