With the massive increase in the available news information, it is difficult for users to quickly obtain the news they are interested in, resulting in personalized recommendation news applications. As the popularity of such innovative products grows, it is important to understand how people perceive and use these innovations. The focus of this study was the personalized recommendation news app "Toutiao," which has a high level of user activity in China. Based on the diffusion of innovation theory, this study investigates the relative advantages, compatibility, complexity, and observability characteristics of the Toutiao App as independent variables (IV). The dependent variable is the users' intention to continue using (DV) products. Furthermore, the research on innovation characteristics will help developers and service providers of mobile news apps in determining which innovations are more capable of attracting and retaining users, as well as which innovations have specific reference significance for the improvement of user experience mechanisms and market development strategies.
Cheng, Y. X., Sharma, S., Sharma, P., & Kulathunga, K. (2020). Role of personalization in continuous use intention of mobile news apps in India: Extending the UTAUT2 model. Information, 11(01), 33. https://doi.org/10.3390/info11010033
Kazai, G., Yusof, I., & Clarke, D. (2015).Personalized news and blog recommendations based on user location, Facebook, and Twitter user profiling. In Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval,1129–1132. doi.org/10.1145/2911451.2911464
Tan, S. Y. (2016).A study on the continuous use behavior of personalized news recommendation APP users. (Master's thesis, Yunnan University of Finance and Economics). https://kns.cnki.net/KCMS/detail/detail.aspx?dbname=CMFD201701&filename =1016101395.NH
Chan-Olmsted, S., Rim, H., & Zerba, A. (2012). Mobile news adoption among young adults: examining the roles of perceptions, news consumption, and media usage. Journalism & Mass Communication Quarterly,90(1) 126–147. DOI: 10.1177/1077699012468742
Su, W. N. (2017).Innovation and deficiency of Xinhua news agency's news client. New Media Research,(16),31-32. doi:10.16604/j.cnki.issn2096-0360.2017.16.015.
Wei, W. X. (2018).A Commentary on Rogers' "Innovative Diffusion" theory. Communication and Copyright,10,11-12.doi:10.16852/j.cnki.45-1390/g2.2018.10.004.
Zhou, X. Y. (2018).Research on personalized recommendation of News aggregation APP. (Master's Thesis, Southwest Minzu University).
https://kns.cnki.net/KCMS/detail/detail.aspx?dbname=CMFD201601&filename=1015985716.nh
Gao, S. (2017). Research of Users and Gratifications of Theory of "Particle News".(Master's Thesis, Zhengzhou University).
Rogers, E. M. (2003). Diffusion of innovations (5th ed.).New York: Free Press.
Shih, H-P. (2008).Continued use of a Chinese online portal: an empiricalstudy.Behaviour & Information Technology,27(03),201-209.doi:10.1080/01449290600802403
Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 23(02), 183-213. https://doi.org/10.2307/249751
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly,25(3 ),351-370. doi.org/10.2307/3250921
Mensah, I. K. (2019).Predictors of the continued adoption of Wechat mobile payment. International Journal of E-BusinessResearch,15(04),1-23.DOI:
10.4018/IJEBR.2019100101
Tan, C. H.,& Li, Y. (2020). Research on the influencing factors of users' willingness to continue using in virtual academic community. Research on Library Science ,20,28-38.doi:10.15941/j.cnki.issn1001-0424.2020.20.004.
Ding, R. H., & Xia, D. Y.(2022).The Academic Field of Algorithmic Recommendation Research from the Perspective of Communication: Citespace Visualized Scientific Knowledge Graph Analysis Based on Journalism and Communication Literature from 2010 to 2019. XINWEN AIHAOZHE,(01),16-21.
Mo, L. (2020). Research On The Communication Effect Of Toutiao News Client Forms the Perspective Of Usage And Gratifications. Master's thesis, Beijing University of Posts and Telecommunications.
Yang, Z. L., Liu, W. X.,Chen,Y. X., & Liu, W. L. (2019).Research on continuous use behavior of APP users in university mobile library based on innovation diffusion Theory.Shanxi Agricultural Economics,(06),32-35. doi:10.16675/j.cnki.cn14-1065/f.2019.06.016.
Greer, T. H., Murtaza, M. B. (2003).Web personalization: The impact of perceived innovation characteristics on the intention to use personalization. Journal of Computer Information Systems,43(03),50-55. doi.org/10.1080/08874417.2003.11647516
Zhang, L. (2012). The Study of MicroBlog Based on the Theory of Diffusion of Innovations. Master's thesis, Shandong Normal University.
https://kns.cnki.net/KCMS/detail/detail.aspx?dbname=CMFD2012&filename= 1012338800. NH
Li, W., Huang, Y., & Yang, F. (2018). A study on college students' willingness to adopt mobile news client and its influencing factors: Based on the perspective of technology acceptance model and innovation diffusion theory. Books and Information, (04), 62- 71. https://kns.cnki.net/kcms/detail/detail.aspx?FileName=BOOK201804008&DbName=CJFQ2018
Zaltman, G., Duncan, R., & Holbek, J. (1973). Innovations and organizations.New York; Toronto: Wiley.
Liao, H-L., & Lu, H-P.( 2008). The role of experience and innovation characteristics in the adoption and continued use of e-learning websites.Computers & Education,51(4),1405-1416. https://doi.org/10.1016/j.compedu.2007.11.006
Kapoor, K., Dwivedi, Y. K., & Williams, M. D. (2013).Role of Innovation Attributes in Explaining the Adoption Intention for the Interbank Mobile Payment Service in an Indian Context.IFIP AICT, 402, 203–220.
Sahin, I. (2006). Detailed Review of Rogers' Diffusion of Innovations Theory and Educational Technology-Related Studies Based on Rogers' Theory.Turkish Online Journal of Educational Technology, 5(2),14-23.
China Internet Network Information Center. (2021).The 48th China Statistical Report on Internet Development.
http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/202109/P020210915523670981527.pdf
iiMedia Research. (2019). China mobile news client market monitoring report. https://www.iimedia.cn/c400/64308.html.
In-Text Citation: (Chen et al., 2022)
To Cite this Article: Chen, Y., Zawawi, J. W. M., & Yaakup, H. S. B. (2022). Innovative Characteristics of Users' Intention to Continue Using Personalized Recommendation News Apps . International Journal of Academic Research in Business and Social Sciences. 12(7), 1422– 1429.
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