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Article: Hospital-based nurses' perceptions of the adoption of Web 2.0 tools for knowledge sharing, learning, social interaction and the production of collective intelligence

TitleHospital-based nurses' perceptions of the adoption of Web 2.0 tools for knowledge sharing, learning, social interaction and the production of collective intelligence
Authors
KeywordsE-learning & Collective Intelligence
Human behavioral adoption
Web 2.0 tools
Issue Date2011
Citation
Journal of Medical Internet Research, 2011, v. 13, n. 4, article no. e92 How to Cite?
AbstractBackground: Web 2.0 provides a platform or a set of tools such as blogs, wikis, really simple syndication (RSS), podcasts, tags, social bookmarks, and social networking software for knowledge sharing, learning, social interaction, and the production of collective intelligence in a virtual environment. Web 2.0 is also becoming increasingly popular in e-learning and e-social communities. Objectives: The objectives were to investigate how Web 2.0 tools can be applied for knowledge sharing, learning, social interaction, and the production of collective intelligence in the nursing domain and to investigate what behavioral perceptions are involved in the adoption of Web 2.0 tools by nurses. Methods: The decomposed technology acceptance model was applied to construct the research model on which the hypotheses were based. A questionnaire was developed based on the model and data from nurses (n = 388) were collected from late January 2009 until April 30, 2009. Pearson's correlation analysis and t tests were used for data analysis. Results: Intention toward using Web 2.0 tools was positively correlated with usage behavior (r = .60, P < .05). Behavioral intention was positively correlated with attitude (r = .72, P < .05), perceived behavioral control (r = .58, P < .05), and subjective norm (r = .45, P < .05). In their decomposed constructs, perceived usefulness (r = .7, P < .05), relative advantage (r = .64, P < .05), and compatibility (r = .60,P < .05) were positively correlated with attitude, but perceived ease of use was not significantly correlated (r = .004, P < .05) with it. Peer (r = .47, P < .05), senior management (r = .24,P < .05), and hospital (r = .45, P < .05) influences had positive correlations with subjective norm. Resource (r= .41,P< .05) and technological (r= .69,P< .05) conditions were positively correlated with perceived behavioral control. Conclusions: The identified behavioral perceptions may further health policy makers' understanding of nurses' concerns regarding and barriers to the adoption of Web 2.0 tools and enable them to better plan the strategy of implementation of Web 2.0 tools for knowledge sharing, learning, social interaction, and the production of collective intelligence. © Adela S.M. Lau.
Persistent Identifierhttp://hdl.handle.net/10722/335213
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLau, Adela S.M.-
dc.date.accessioned2023-11-17T08:23:59Z-
dc.date.available2023-11-17T08:23:59Z-
dc.date.issued2011-
dc.identifier.citationJournal of Medical Internet Research, 2011, v. 13, n. 4, article no. e92-
dc.identifier.urihttp://hdl.handle.net/10722/335213-
dc.description.abstractBackground: Web 2.0 provides a platform or a set of tools such as blogs, wikis, really simple syndication (RSS), podcasts, tags, social bookmarks, and social networking software for knowledge sharing, learning, social interaction, and the production of collective intelligence in a virtual environment. Web 2.0 is also becoming increasingly popular in e-learning and e-social communities. Objectives: The objectives were to investigate how Web 2.0 tools can be applied for knowledge sharing, learning, social interaction, and the production of collective intelligence in the nursing domain and to investigate what behavioral perceptions are involved in the adoption of Web 2.0 tools by nurses. Methods: The decomposed technology acceptance model was applied to construct the research model on which the hypotheses were based. A questionnaire was developed based on the model and data from nurses (n = 388) were collected from late January 2009 until April 30, 2009. Pearson's correlation analysis and t tests were used for data analysis. Results: Intention toward using Web 2.0 tools was positively correlated with usage behavior (r = .60, P < .05). Behavioral intention was positively correlated with attitude (r = .72, P < .05), perceived behavioral control (r = .58, P < .05), and subjective norm (r = .45, P < .05). In their decomposed constructs, perceived usefulness (r = .7, P < .05), relative advantage (r = .64, P < .05), and compatibility (r = .60,P < .05) were positively correlated with attitude, but perceived ease of use was not significantly correlated (r = .004, P < .05) with it. Peer (r = .47, P < .05), senior management (r = .24,P < .05), and hospital (r = .45, P < .05) influences had positive correlations with subjective norm. Resource (r= .41,P< .05) and technological (r= .69,P< .05) conditions were positively correlated with perceived behavioral control. Conclusions: The identified behavioral perceptions may further health policy makers' understanding of nurses' concerns regarding and barriers to the adoption of Web 2.0 tools and enable them to better plan the strategy of implementation of Web 2.0 tools for knowledge sharing, learning, social interaction, and the production of collective intelligence. © Adela S.M. Lau.-
dc.languageeng-
dc.relation.ispartofJournal of Medical Internet Research-
dc.subjectE-learning &amp; Collective Intelligence-
dc.subjectHuman behavioral adoption-
dc.subjectWeb 2.0 tools-
dc.titleHospital-based nurses' perceptions of the adoption of Web 2.0 tools for knowledge sharing, learning, social interaction and the production of collective intelligence-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.2196/jmir.1398-
dc.identifier.pmid22079851-
dc.identifier.scopuseid_2-s2.0-81855206667-
dc.identifier.volume13-
dc.identifier.issue4-
dc.identifier.spagearticle no. e92-
dc.identifier.epagearticle no. e92-
dc.identifier.eissn1438-8871-
dc.identifier.isiWOS:000299313300023-

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