The mechanism of knowledge seeking and sharing behaviors influenced by individual cognition and motivation of online health community users in China
Palabras clave:
Patient user groups, Individual cognition, Motivation, Knowledge seeking, Knowledge sharingResumen
This study is to solve the problem of blocked help-seeking behavior and “hitchhiking” in patient user groups, to explore the
mechanism of knowledge seeking and sharing behaviors influenced by individual cognition and motivation. The thesis integrates the ERG theory cognitive behavior factors then construct the theoretical model of cognition-motivation-behavior. The structural equation model of 390 valid data is analyzed. The results showed that: (1) Perceived ease of use has no effect on motivation and knowledge seeking, but only on knowledge sharing; (2) survival motivation, relationship motivation and growth motivation, all promote knowledge seeking, while only growth motivation promotes knowledge sharing; (3) perceived usefulness, perceived interpersonal trust and disease cognition have different effects on all these three motivations; (4) perceived usefulness, perceived interpersonal trust and disease cognition have direct effects on knowledge seeking, while perceived usefulness and perceived ease of use have direct effects on knowledge sharing; (5) the key factor to promote knowledge seeking is perceived usefulness, while the key factor to promote knowledge sharing is perceived ease of use; (6) survival motivation and growth motivation play an intermediary role between perceived usefulness, perceived interpersonal trust, disease cognition and knowledge seeking respectively, while only growth motivation plays an intermediary role between these three cognitive factors and knowledge sharing.
Descargas
Citas
Alderfer, C. P. An empirical test of a new theory of human needs. Organizational Behavior and Human Performance, v. 4, n. 142-175, 1969.
Bo, L.; Zou, H.; Yan, Z. Development, reliability and validity of cognitive psychological behavior scale for asthma patients. Nursing of Integrated Traditional Chinese and Western Medicine, v. 5, 1-5, 2019.
Choudhury, S.; Alani, H.; Kmi, U. Exploring user behavior and needs in Q & A communities. In: European Conference on Social Media, 2014, Brighton. Proceedings […]. Brighton: Academic Conferences, and Publishing International Limited, 2014. p. 80-89.
Collins, C. J.; Smith, K. G. Knowledge exchange and combination: the role of human resourse practices in the performance of high-technology firms. Academy of Management Journal, v. 49, 544-560, 2006.
Crook, B.; Love, B. Examining the light and dark of an online young adult cancer support community. Qualitative Health Research, v. 27, 938, 2016.
Davis, F. D.; Bagozzi, R. P.; Warshaw, P. R. User acceptance of computer technology: a comparison of two theoretical models. Management Science, v. 35, p. 982-1003, 1989.
Deng, S.; Guan, X. Research on influencing factors of users’ willingness to obtain health information based on Q & A platform. Information Science, v. 34, p. 53-59, 2016.
Fang, Y. H.; Chiu, C. M. In justice we trust: exploring knowledgesharing continuance intentions in virtual communities of practice. Computers in Human Behavior, v. 26, p. 235-246, 2010.
Fiona, L. When the going gets tough, do the tough ask for help? Help Seeking and Power Motivation in Organizations. Organizational Behavior and Human Decision Processes, v. 72, p. 336-363, 1997.
He, X. Psychology. Chengdu: Southwest Jiaotong University Press, 2009.
Hsu, M. H. et al. Knowledge sharing behavior in virtual communities: The relationship between trust, self-efficacy, and outcome expectations. International Journal of Human-Computer Studies, v. 65, p. 153-169, 2007.
Jiang, X. A review on the influencing factors of information sharing behavior in virtual community. Research on Library Science, v. 10, p. 18-24, 2014.
Kumi, R.; Sabherwal, R. Knowledge sharing behavior in online discussion communities: examining behavior motivation from social and individual perspectives. Knowledge and Process Management, 2019.
Li, F.; Zhou, S. Research on information sharing behavior in virtual community. Library and Information Service, v. 55, p. 48-51, 2011.
Lin, M. J. J.; Hung, S. W.; Chen, C. J. Fostering the determinants of knowledge sharing in professional virtual communities. Computers in Human Behavior, v. 25, p. 929-939, 2009.
Ma, M.; Agarwal, R. Through a glass darkly: information technology design, identity verification, and knowledge contribution in online communities. Information Systems Research, v. 18, p. 42-67, 2007.
Ridings, C. M.; Gefen, D.; Arinze B. Some antecedents and effects of trust in virtual communities. Journal of Strategic Information Systems, v. 11, p. 271-295, 2002.
Rotter, J. B. A new scale for the measurement of interpersonal trust. Journal of Personality, v. 35, p. 651-665, 1967.
Venkatesh, V.; Davis, F. D. A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, v. 46, p. 186-204, 2000.
Wu, J.; Li, S. Research on users’ willingness to use information services in online health community. Information Science, v. 35,
p. 119-125, 2017.
Xia, M. et al. Research note-to continue sharing or not to continue sharing? An empirical analysis of user decision in peer-to-peer sharing networks. Information Systems Research, v. 23, p. 247-259, 2012.
Yang, Y. An empirical study on the influencing factors of user knowledge sharing behavior in MOOC platform-Based on schmitt strategic experience module and TAM model. Journal of Information Resources Management, v. 7, p. 66-74, 2017.
Yao, W. et al. Research on knowledge Mobilization Mode in network community based on TSC theory. Information studies: Theory & Application, v. 43, p. 47-54, 2020.
Ybarra, M. L.; Suman, M. Help seeking behavior and the Internet: A national survey. International Journal of Medical Informatics, v. 75, p. 29-41, 2006.
Zhang, M.; Chen, Y.; Zhang, Y. Analysis of the formation path of the information seeking behavior of online health community users in the perspective of two channels. Information Science, v. 37, p. 25-32, 2019.
Zhang, N. et al. Illness perceptions among cancer survivors. Supportive Care in Cancer, v. 24, p. 1295-1304, 2016.
Zhang, W.; Jiang, X. Research on the evolution mechanism of users’ continuous participation motivation in online health community. Journal of Management, v. 17, p. 1245-1253, 2020.
Zhang, X. et al. A study on the influencing factors of user loyalty in online Health Community: from the perspective of information system success and Social support. Intelligence Science, v. 34, p. 133-138, 2016.
Zhao, X. et al. Knowledge proliferation in online communities: a study on the reciprocal relationship between user behavior and user trust. Journal of Modern Information, v. 40, p. 84-92, 2020.
Descargas
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2022 Transinformação
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
