Interaction Design of New Media Reading Platforms Based on Value Co-Creation
Pages 111 - 117
Abstract
The rapid development of new media technologies, coupled with the fact that people have passed the time of isolation during the pandemic by reading, has accelerated new media reading platforms in the post-pandemic era, and their interaction design has also triggered new thinking. Based on the perspective of value co-creation, this paper presents a study of the interaction design of new media reading platforms. According to the Technology Acceptance Model (TAM) model and the SOR theory, the study collected data from 163 respondents through a questionnaire. Variance-based structural equation modelling (PLS-SEM) was used to test the proposed structural model. The results of this study showed that value co-creation had a significant impact on the user's perceived usefulness, and the system quality of the platform had a positive impact on the perceived ease of use by the platform users. The perceived ease of use and the perceived usefulness showed a positive impact on the user's intention to use the platform continuously. However, perceived usefulness was more significant than the impact of perceived ease of use on the intent to continue using the platform. Regarding new media reading platforms, the impact of perceived ease of use on perceived usefulness was not significant, as proposed. These findings fill the gap in related research by providing insights into new research directions and ideas for focusing on specific platforms.
References
[1]
AHN, T., RYU, S., and HAN, I., 2007. The impact of Web quality and playfulness on user acceptance of online retailing. Information & Management 44, 3 (2007/04/01/), 263-275. DOI= http://dx.doi.org/https: //doi.org/10.1016/j.im.2006.12.008.
[2]
AMOAKO-GYAMPAH, K., 2007. Perceived usefulness, user involvement and behavioral intention: an empirical study of ERP implementation. Computers in Human Behavior 23, 3 (2007/05/01/), 1232-1248. DOI= http: //dx.doi.org/https: //doi.org/10.1016/j.chb.2004.12.002.
[3]
BAPTISTA, G. and OLIVEIRA, T., 2015. Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators. Computers in Human Behavior 50(2015/09/01/), 418-430. DOI= http://dx.doi.org/https: //doi.org/10.1016/j.chb.2015.04.024.
[4]
BOON-ITT, S., 2019. Quality of health websites and their influence on perceived usefulness, trust and intention to use: an analysis from Thailand. Journal of Innovation and Entrepreneurship 8, 1 (2019/01/15), 4. DOI= http: //dx.doi.org/10.1186/s13731-018-0100-9.
[5]
CHEUNG, M.F.Y. and TO, W.M., 2016. Service co-creation in social media: An extension of the theory of planned behavior. Computers in Human Behavior 65(2016/12/01/), 260-266. DOI= http: //dx.doi.org/https: //doi.org/10.1016/j.chb.2016.08.031.
[6]
CHIN, W.W. and NEWSTED, P.R., 1999. Structural equation modeling analysis with small samples using partial least squares. In Statistical strategies for small sample research, R. HOYLE Ed. Sage Publication, Beverly Hills, CA, 307-341.
[7]
CHO, J., 2016. The impact of post-adoption beliefs on the continued use of health apps. International Journal of Medical Informatics 87(2016/03/01/), 75-83. DOI= http: //dx.doi.org/https: //doi.org/10.1016/j.ijmedinf.2015.12.016.
[8]
DAVIS, F.D., 1989. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly 13, 3, 319-340. DOI= http: //dx.doi.org/10.2307/249008.
[9]
DHANESWARA, A.P., HIDAYANTO, A.N., and ZHU, Y.Q., 2018. Vlogging: Trigger to impulse buying behaviors. In 22nd Pacific Asia Conference on Information Systems-Opportunities and Challenges for the Digitized Society: Are We Ready?, PACIS 2018 Association for Information Systems.
[10]
FORNELL, C. and LARCKER, D.F., 1981. Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of marketing research 18, 1, 39-50. DOI= http: //dx.doi.org/10.1177/002224378101800104.
[11]
HAIR, J.F., HULT, G.T.M., RINGLE, C.M., and SARSTEDT, M., 2017. A primer on partial least squares structural equation modeling (PLS-SEM) Sage.
[12]
HAIR, J.F., SARSTEDT, M., RINGLE, C.M., and MENA, J.A., 2012. An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the academy of marketing science 40, 3 (2012/05/01), 414-433. DOI= http: //dx.doi.org/10.1007/s11747-011-0261-6.
[13]
HAMID, A.A., RAZAK, F.Z.A., BAKAR, A.A., and ABDULLAH, W.S.W., 2016. The Effects of Perceived Usefulness and Perceived Ease of Use on Continuance Intention to Use E-Government. Procedia Economics and Finance 35(2016/01/01/), 644-649. DOI= http: //dx.doi.org/https: //doi.org/10.1016/S2212-5671(16)00079-4.
[14]
HANJAYA, M., KENNY, K., and GUNAWAN, F., 2019. Understanding factors influencing consumers online purchase intention via mobile app: perceived ease of use, perceived usefulness, system quality, information quality, and service quality. Marketing Instytucji Naukowych i Badawczych, 2(32) (//), 175-206.
[15]
HENDERSON, R. and DIVETT, M.J., 2003. Perceived usefulness, ease of use and electronic supermarket use. International Journal of Human-Computer Studies 59, 3 (2003/09/01/), 383-395. DOI= http://dx.doi.org/https: //doi.org/10.1016/S1071-5819(03)00079-X.
[16]
JAMIL, J.M., RUSLE, R., ZOLKIPLI, M.F., and SHAHARANEE, I.N.M., 2021. Perceived Usefulness of Instagram as a Marketing Tool in Higher Education Institutions. Journal of ICT in Education 8, 1, 104-113.
[17]
KARAHASANOVIĆ, A., BRANDTZÆG, P.B., HEIM, J., LÜDERS, M., VERMEIR, L., PIERSON, J., LIEVENS, B., VANATTENHOVEN, J., and JANS, G., 2009. Co-creation and user-generated content–elderly people's user requirements. Computers in Human Behavior 25, 3 (2009/05/01/), 655-678. DOI= http://dx.doi.org/https: //doi.org/10.1016/j.chb.2008.08.012.
[18]
LU, B., WANG, Z., and ZHANG, S., 2021. Platform-based mechanisms, institutional trust, and continuous use intention: The moderating role of perceived effectiveness of sharing economy institutional mechanisms. Information & Management 58, 7 (2021/11/01/), 103504. DOI= http: //dx.doi.org/https: //doi.org/10.1016/j.im.2021.103504.
[19]
LU, H.P. and GUSTAFSON, D.H., 1994. An empirical study of perceived usefulness and perceived ease of use on computerized support system use over time. International Journal of Information Management 14, 5 (1994/10/01/), 317-329. DOI= http://dx.doi.org/https: //doi.org/10.1016/0268-4012(94)90070-1.
[20]
MOSTAFA, R.B., 2020. Mobile banking service quality: a new avenue for customer value co-creation. International Journal of Bank Marketing 38, 5, 1107-1132. DOI= http: //dx.doi.org/10.1108/IJBM-11-2019-0421.
[21]
MUDAMBI, S.M. and SCHUFF, D., 2010. Research Note: What Makes a Helpful Online Review? A Study of Customer Reviews on Amazon.com. MIS Quarterly 34, 1, 185-200. DOI= http: //dx.doi.org/10.2307/20721420.
[22]
PRAHALAD, C.K. and RAMASWAMY, V., 2004. Co-creation experiences: The next practice in value creation. Journal of interactive marketing 18, 3 (2004/01/01/), 5-14. DOI= http://dx.doi.org/https: //doi.org/10.1002/dir.20015.
[23]
RAMAYAH, T. and IGNATIUS, J., 2005. Impact of perceived usefulness, perceived ease of use and perceived enjoyment on intention to shop online. ICFAI Journal of Systems Management (IJSM) 3, 3, 36-51.
[24]
SEGARS, A.H. and GROVER, V., 1993. Re-Examining Perceived Ease of Use and Usefulness: A Confirmatory Factor Analysis. MIS Quarterly 17, 4, 517-525. DOI= http: //dx.doi.org/10.2307/249590.
[25]
SÖZER, E.G., 2019. Determinants and outcomes of mobile App usage intention of Gen Z: A cross category assessment. Beykoz Akademi Dergisi 7, 2, 239-265.
[26]
VARGO, S.L. and LUSCH, R.F., 2008. Service-dominant logic: continuing the evolution. Journal of the academy of marketing science 36, 1 (2008/03/01), 1-10. DOI= http: //dx.doi.org/10.1007/s11747-007-0069-6.
[27]
VENKATESH, V., 2000. Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model. Information Systems Research 11, 4, 342-365. DOI= http://dx.doi.org/10.1287/isre.11.4.342.11872.
[28]
WILLIAM, H.D. and EPHRAIM, R.M., 2003. The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems 19, 4 (2003/04/01), 9-30. DOI= http: //dx.doi.org/10.1080/07421222.2003.11045748.
[29]
WU, J.-H., WANG, S.-C., and LIN, L.-M., 2007. Mobile computing acceptance factors in the healthcare industry: A structural equation model. International Journal of Medical Informatics 76, 1 (2007/01/01/), 66-77. DOI= http://dx.doi.org/https: //doi.org/10.1016/j.ijmedinf.2006.06.006.
[30]
YANG, K.C.C., 2005. Exploring factors affecting the adoption of mobile commerce in Singapore. Telematics and Informatics 22, 3 (2005/08/01/), 257-277. DOI= http: //dx.doi.org/https://doi.org/10.1016/j.tele.2004.11.003.
Index Terms
- Interaction Design of New Media Reading Platforms Based on Value Co-Creation
Recommendations
Factors affecting consumer stickiness to continue using mobile applications
According to a recent survey, more than half of all such apps are rarely been downloaded. This study thus examines consumer stickiness to continue to use mobile apps, using the post-acceptance model of information system continuance and technology ...
Customers’ perceptions and intention to adopt Internet banking: the moderation effect of computer self-efficacy
In the past, the conventional concentration of Internet banking (IB) research has been on technology development, but this is now shifting to user-focused research. It has been suggested that potential users of IB services in Malaysia may not adopt the ...
An evaluation of e-banking and m-banking adoption factors and preference in Malaysia: a case study
This study aims to investigate the factors influencing adoption of electronic banking (e banking) and mobile banking (m-banking) and to identify customer preferences in choosing either e-banking or m-banking when conducting transactions. The findings ...
Comments
Information & Contributors
Information
Published In
June 2022
130 pages
ISBN:9781450397216
DOI:10.1145/3549843
Copyright © 2022 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 21 September 2022
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Funding Sources
- Subject Reform Project of the Zhejiang University of Technology
- Zhejiang University of Technology Subject Reform Project
Conference
ICEBT 2022
ICEBT 2022: 2022 6th International Conference on E-Education, E-Business and E-Technology
June 25 - 27, 2022
Beijing, China
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 51Total Downloads
- Downloads (Last 12 months)15
- Downloads (Last 6 weeks)5
Reflects downloads up to 26 Jan 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format