American Journal of Information Systems
ISSN (Print): 2374-1953 ISSN (Online): 2374-1988 Website: Editor-in-chief: Sergii Kavun
Open Access
Journal Browser
American Journal of Information Systems. 2020, 8(1), 1-7
DOI: 10.12691/ajis-8-1-1
Open AccessArticle

A Value Based Analysis of Web 2.0 Usage of Chinese Young Users

Yi Maggie Guo1,

1Departmetn of Management Studies, University of Michigan - Dearborn, Dearborn, MI, USA

Pub. Date: March 03, 2020

Cite this paper:
Yi Maggie Guo. A Value Based Analysis of Web 2.0 Usage of Chinese Young Users. American Journal of Information Systems. 2020; 8(1):1-7. doi: 10.12691/ajis-8-1-1


The paper reports a study that investigates continued use of Web 2.0 technologies by applying customer values as theoretical lens. In prior research, both utilitarian and hedonic values of IT are recognized. Web 2.0 technologies provide users these values too. Furthermore, we posit that user perceived value has a positive effect on continued use of Web 2.0 sites. Two factors, system quality and information quality, are hypothesized to affect customer values. A survey study is conducted to test proposed research model. This research furthers the research stream by focusing on young users in China.

Web 2.0 customer values website quality social media China

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit


[1]  Hsu, C-L., & Lin, C-C. (2008). Acceptance of blog usage: the role of technology acceptance, social influence and knowledge sharing motivation. Information & Management, 45, 65-74.
[2]  Lin, C. & Kim, T. (2016). Predicting user response to sponsored advertising on social media via the technology acceptance model. Computers in Human Behavior, 64, 710-718
[3]  Rauniar, R., Rawski, G. Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: an empirical study on Facebook. Journal of Enterprise Information Management, 27 (1), 6-30,
[4]  Sledgianowski, D., & Kulviwat, S. (2009). Using social network sites: the effects of playfulness, critical mass and trust in a hedonic context. Journal of Computer Information Systems, 49 (4), 74-83.
[5]  Sun, J., Sheng, D., Gu, D., Du, J., & Min, C. (2017) Understanding link sharing tools continuance behavior in social media. Online Information Review, 41 (1), 119-133,
[6]  Tam, C., Santos, D., & Oliveira, T. (2018). Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model. Information Systems Frontiers,
[7]  Lin, K.Y. & Lu, H.P. (2011). Why people use social networking sites: an empirical study integrating network externalities and motivation theory. Computers in Human Behavior, 27, 1152-1161.
[8]  Lu, H.-P., & Yang, Y.-W. (2014). Toward an understanding of the behavioral intention to use a social networking site: An extension of task-technology fit to social-technology fit. Computers in Human Behavior, 34, 323-332.
[9]  Chiu, C-M., Hus, M-H., & Wang, E. T.G. (2006). Understanding knowledge sharing in virtual communities: an integration of social capital and social cognitive theories. Decision Support Systems, 42, 1872-1888.
[10]  Liu, Q., Shao, Z., & Fan, W. (2018). The impact of users’ sense of belonging on social media habit formation: Empirical evidence from social networking and microblogging websites in China. International Journal of Information Management, 43, 209-223.
[11]  Bonsón, E., Escobar, T., & Ratkai, M. (2014). Testing the inter-relations of factors that may support continued use intention: the case of Facebook. Social Science Information, 53(3), 293-310.
[12]  Hsiao, C.-H., Chang, J.-J., Tang, K.-Y. (2016). Exploring the influential factors in continuance usage of mobile, social Apps: Satisfaction, habit, and customer value perspectives. Telematics and Informatics, 33, 342-355.
[13]  Kim, D., & Hwang, Y., (2012). A study of mobile internet user’s service quality perceptions from a user’s utilitarian and hedonic value tendency perspectives. Information System Frontier, 14, 409-421.
[14]  Jung, Y. (2014). What a smartphone is to me: understanding user values in using smartphones, Information Systems Journal, 24, 299-321.
[15]  Kakar, A. (2017). Why do users prefer the hedonic but choose the Utilitarian? Investigating user dilemma of hedonic-utilitarian choice. International Journal of Human-Computer Studies, 108, 50-61.
[16]  Xu, L., Lin, J., & Chan, H.C. (2012). the moderating effects of utilitarian and hedonic values on information technology continuance. ACM Transactions on Computer-Human. Interaction, 19, 2, Article 12, 26 pages.
[17]  Xu, C., Peal, D., & Prybutok, V. (2015). A Customer value, satisfaction, and loyalty perspective of mobile application recommendation. Decision Support Systems, 79, 171-183
[18]  CNNIC (2019). The 43rd China Statistical Report on Internet Development. (accessed on May 2nd, 2019)
[19]  Klein, B., Guo Y., & Zhou, C. (2014). Chinese perceptions of information quality on and off the Internet: a view from the second decade of the twenty-first Century,” American Journal of Information Technology, 4 (1), 19-32.
[20]  Guo, Y., Klein, B., & Zhou, C. (forthcoming) Perceptions of information quality among chinese users of the internet: an update in the context of a changing political and social landscape. International Journal of Information Quality,
[21]  Li, L., Gao, P., & Mao, J. Y. (2014) Research on IT in China: a call for greater contextualization. Journal of Information Technology, 29, 208-222.
[22]  Kim, H.W., Chan, H.C., & Gupta, S. (2007). Value-based adoption of mobile internet: an empirical investigation. Decision Support Systems, vol. 43. 111-126.
[23]  Kumar V., & Reinartz, W. (2016) Creating enduring customer value. Journal of Marketing, 80, 36-68.
[24]  Sanchez-Fernandez. R. and Iniesta-Bonillo, M. A. The Concept of Perceived Value: A systematic review of the research, Marketing Theory, 2007, 7 (4), 427
[25]  Sheth, J.N, Newman, B.I., & Gross, B.L. (1991). Why we buy what we buy: a theory of consumption values. Journal of Business Research, 22, 159-70.
[26]  Pihlstrom, M. & Brush, G J. (2008). Comparing the perceived value of information and entertainment mobile services. Psychology & Marketing, 25(8), 732-755.
[27]  Sweeney, J.C & Soutar, G. N. (2001). Consumers perceived value: the development of a multiple item scale. Journal of Retailing, 77 (2), 203-220.
[28]  Hartman, R.S. (1967) The Structure of Value: Foundations of a Scientific Axiology. Carbondale, IL: Southern Illinois Press.
[29]  Hartman, R.S. (1973) the Hartman Value Profile (HVP): Manual of Interpretation. Muskegon, MI: Research Concepts.
[30]  Mattsson, J. (1991) Better Business by the Abc of Values. Lund: Studdentlitteratur.
[31]  Babin, B.J., Darden, W.R. & Griffin, M. (1994). Work and/or fun: neasuring hedonic and utilitarian Shopping. Journal of Consumer Research, 20(4), 644-56.
[32]  Babin, B.J. and Kim, K. (2001). International Students Travel Behavior: A Model of the Travel-Related Consumer/ Dissatisfaction Process. Journal of Travel and Tourism Marketing 10(1), 93-106.
[33]  Turel, O., Serenko, A., & Bontis, N. (2010). User acceptance of hedonic digital artifacts: a theory of consumption values perspective. Information and Management, 47, 53-59.
[34]  Van der Heijden, H. (2004). User Acceptance of Hedonic Information Systems. MIS Quarterly, 28(4), 695-704.
[35]  Chiu, C-M, Wang, E T. G., Fan, Y.-H. & Huang, H.-Y. (2014). Understanding customers’ repeat purchase intentions in B2C e-commerce: the roles of utilitarian value, hedonic value and perceived risk. Information Systems Journal, 24, 85-114.
[36]  Wu, Y.-L., & Li, E. Y., (2018). Marketing mix, customer value, and customer loyalty in social commerce: A stimulus-organism-response perspective. Internet Research, 28 (1), 74-104,
[37]  Ashraf, R. U., Hou, F., & Ahmad, W. (2018). Understanding continuance intention to use social media in china: The roles of personality drivers, hedonic value, and utilitarian value. International Journal of Human-Computer Interaction,
[38]  Choi, S. (2013). An empirical study of social network service (SNS) continuance: incorporating the customer value-satisfaction-loyalty model into the IS continuance model. Asia Pacific Journal of Information Systems, 23 (4), 1-27.
[39]  Yeh, C.-H., Wang, Y.-S., & Yieh, K. (2016). Predicting smartphone brand loyalty: Consumer value and consumer-brand identification perspectives, International Journal of Information Management, 36, 245-257.
[40]  Turel, O., Serenko, A., & Bontis, N. (2007). User acceptance of wireless short messaging services: deconstructing perceived value. Information and Management, 44, 63-73.
[41]  Kim, H. W., Gupta, S., Koh. J. (2011). Investigating the intention to purchase digital items in social networking communities: A customer value perspective. Information & Management, 48 (6), 228-234
[42]  Chan, M., Wu, X., Hao, Y., Xi, R., & Jin, T. (2012) Microblogging, online expression, and political efficacy among uoung Chinese citizens: the moderating role of information and entertainment needs in the use of weibo. Cyberpsychology, Behavior, Social Networking, 15, (7), 345-349.
[43]  Lin, H. F., & Lee, G-G. (2006). Determinants of success for online communities: an empirical study,” Behaviour & Information Technology, 25(6), 479-488.
[44]  Xu, J., Benbasat, I, & Cenfetelli, R. T. (2013). Integrating service quality with system quality and information quality: an empirical test in the e-service context. MIS Quarterly, 37 (3), 777-794.
[45]  Li, Y., & Shang, H. (forthcoming). Service quality, perceived value, and citizens’ continuous-use intention regarding e-government: Empirical evidence from China. Information & Management
[46]  Kim, H., & Niehm, L. S. (2009). The impact of website quality on information quality, value, and loyalty intentions in apparel retailing. Journal of Interactive Marketing, 23, 221-233
[47]  Kuo, Y. F., Wu, C. M., & Deng, W. J. (2009) The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services. Computers in Human Behavior, 25,887-896.
[48]  Pearson, A., Tadisina, S., & Griffin, C., (2012). The role of e-Service quality and information quality in creating perceived value: antecedents to web site loyalty. Information Systems Management, 29, 201-215.
[49]  Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13 (3), 319-340.
[50]  Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. Boenningstedt: SmartPLS GmbH,
[51]  Nunnally, J.C. & Bernstein, I.H. (1994). Psychometric Theory, 3rd ed. New York, NY: McGraw-Hill.
[52]  Fornell, C. and Larcker, D.F. (1981). Evaluating structural equation dodels with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
[53]  Bagozzi, R.P. & Yi, Y. (1988). On the Evaluation of Structural Equation Models. Journal of the Academy of Marketing Science, 16 (1), 74-94.
[54]  Lee, E., & Han, S. (2017). Mobile service consumption values: an exploratory mixed-method study, Information Technology Management, 18, 253-264.
[55]  Chen, H., Wigand, R.T., & Nilan, M.S. (1999). Optimal experience of web activities. Computers in Human Behavior, 15 (1), 585-608.
[56]  Deng, Z., Lu, Y., Wei, K. K., & Zhang, J. (2009). Understanding customer satisfaction and loyalty: an empirical study of mobile instant messages in China. International Journal of Information Management.
[57]  Lin, H. F. (2008). Determinants of successful virtual communities: contributions from system characteristics and social factors. Information & Management, 45 (8), 522-527.