Abstract
In the knowledge economy era, access to health knowledge via online health platforms has become increasingly popular. This paper aims to explore the impact of relevant characteristics on users’ intention of paying for health knowledge. Based on the perceived value theory and S-O-R model, we propose the research model consisting of knowledge characteristics and platform characteristics as stimuli, perceived value as organism, and purchase intention as response. A total of 432 valid questionnaires is collected, and analyzed using SmartPLS3.0 software. Our results show that regarding knowledge characteristics, knowledge rarity has no significant influence on perceived value, and knowledge personalization positively affects utilitarian value and hedonic value; regarding platform characteristics, both platform information quality and platform service quality positively influence utilitarian value and hedonic value; both utilitarian value and hedonic value have positive effects on purchase intention. And the partial mediation role of perceived value is tested. Research findings and implications are discussed as well.
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References
iiMedia Report. https://www.iimedia.cn/c400/86348.html. Accessed 15 January 2023
Zhao, Y., Zhao, Y., Yuan, X., Zhou, R.: How knowledge contributor characteristics and reputation affect user payment decision in paid Q&A? An empirical analysis from the perspective of trust theory. Electron. Commer. Res. Appl. 31, 1–11 (2018)
Zhang, M., Zhang, Y., Zhao, L., Li, X.: What drives online course sales? Signaling effects of user-generated information in the paid knowledge market. J. Bus. Res. 118, 389–397 (2020)
Li, J., Tang, J., Jiang, L., Yen, D.C., Liu, X.: Economic success of physicians in the online consultation market: a signaling theory perspective. Int. J. Electron. Commer. 23(2), 244–271 (2019)
Kim, H.-W., Gupta, S., Koh, J.: Investigating the intention to purchase digital items in social networking communities: a customer value perspective. Inf. Manag. 48(6), 228–234 (2011)
Zhou, S., Li, T., Yang, S., Chen, Y.: What drives consumers’ purchase intention of online paid knowledge? A stimulus-organism-response perspective. Electron. Commer. Res. Appl. 52, 101126 (2022)
Zhou, T., Tan, Q., Deng, S.: Research on users’ willingness to pay for knowledge based on the IS success model. J. Mod. Inf. 39(08), 59–65 (2019). (in Chinese)
Overby, J.W., Lee, E.-J.: The effects of utilitarian and hedonic online shopping value on consumer preference and intentions. J. Bus. Res. 59(10), 1160–1166 (2006)
Hsu, C.-L., Lin, J.C.-C.: Effect of perceived value and social influences on mobile app stickiness and in-app purchase intention. Technol. Forecast. Soc. Change 108, 42–53 (2016)
Wu, L., Lee, C.: Limited edition for me and best seller for you: the impact of scarcity versus popularity cues on self versus other-purchase behavior. J. Retail. 92(4), 486–499 (2016)
Arora, N., et al.: Putting one-to-one marketing to work: personalization, customization, and choice. Mark. Lett. 19(3), 305–321 (2008)
Wang, C., Teo, T.S.H., Liu, L.: Perceived value and continuance intention in mobile government service in China. Telemat. Inform. 48, 101348 (2020)
Pearson, A., Tadisina, S., Griffin, C.: The role of e-service quality and information quality in creating perceived value: antecedents to web site loyalty. Inf. Syst. Manag. 29(3), 201–215 (2012)
Zheng, Y., Zhao, K., Stylianou, A.: The impacts of information quality and system quality on users’ continuance intention in information-exchange virtual communities: An empirical investigation. Decis. Support Syst. 56, 513–524 (2013)
Chen, L., Li, Y.-Q., Liu, C.-H.: How airline service quality determines the quantity of repurchase intention - mediate and moderate effects of brand quality and perceived value. J. Air Transp. Manag. 75, 185–197 (2019)
Pérez-Nordtvedt, L., Kedia, B.L., Datta, D.K., Rasheed, A.A.: Effectiveness and efficiency of cross-border knowledge transfer: an empirical examination. J. Manag. Stud. 45(4), 714–744 (2008)
Lee, S.W., Sung, H.J., Jeon, H.M.: Determinants of continuous intention on food delivery apps: extending UTAUT2 with information quality. Sustainability 11(11), 3141 (2019)
Fang, Y., Chiu, C., Wang, E.T.G.: Understanding customers’ satisfaction and repurchase intentions: an integration of IS success model, trust, and justice. Internet Res. 21(4), 479–503 (2011)
Tehseen, S., Ramayah, T., Sajilan, S.: Testing and controlling for common method variance: a review of available methods. J. Manag. Sci. 4(2), 142–168 (2017)
Cao, X., Liu, Y., Zhu, Z., Hu, J., Chen, X.: Online selection of a physician by patients: empirical study from elaboration likelihood perspective. Comput. Hum. Behav. 73, 403–412 (2017)
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This research was supported by the National Natural Science Foundation of China under Grant 71971092.
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Li, Y., Xue, J., Deng, Z. (2023). How Knowledge Characteristics and Platform Characteristics Drive Users’ Purchase Intention of Online Paid Health Knowledge?. In: Tu, Y., Chi, M. (eds) E-Business. Digital Empowerment for an Intelligent Future. WHICEB 2023. Lecture Notes in Business Information Processing, vol 480. Springer, Cham. https://doi.org/10.1007/978-3-031-32299-0_25
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DOI: https://doi.org/10.1007/978-3-031-32299-0_25
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