Characterizing Web users' degree of Web 2.0‐ness

Chiang, I-Ping; Huang, Chun‐Yao; Huang, Chih Hsuan

doi:10.1002/asi.21058

Cited by 15 publications

(9 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Information technology training should be part of university programs and continuing education sessions for health professionals to enhance their professional skills and encourage behavior changes. According to cyberpsychology, technological skills are correlated with age [41,42]. This relationship has not been identified in our results because the participants who had no intention of using a Web 2.0 platform were between 33 and 46 years.…”

Section: Discussionmentioning

confidence: 82%

Clinicians’ Expectations of Web 2.0 as a Mechanism for Knowledge Transfer of Stroke Best Practices

David¹,

Poissant²,

Rochette³

2012

J Med Internet Res

View full text Add to dashboard Cite

BackgroundHealth professionals are increasingly encouraged to adopt an evidence-based practice to ensure greater efficiency of their services. To promote this practice, several strategies exist: distribution of educational materials, local consensus processes, educational outreach visits, local opinion leaders, and reminders. Despite these strategies, gaps continue to be observed between practice and scientific evidence. Therefore, it is important to implement innovative knowledge transfer strategies that will change health professionals’ practices. Through its interactive capacities, Web 2.0 applications are worth exploring. As an example, virtual communities of practice have already begun to influence professional practice.ObjectiveThis study was initially developed to help design a Web 2.0 platform for health professionals working with stroke patients. The aim was to gain a better understanding of professionals’ perceptions of Web 2.0 before the development of the platform.MethodsA qualitative study following a phenomenological approach was chosen. We conducted individual semi-structured interviews with clinicians and managers. Interview transcripts were subjected to a content analysis.ResultsTwenty-four female clinicians and managers in Quebec, Canada, aged 28-66 participated. Most participants identified knowledge transfer as the most useful outcome of a Web 2.0 platform. Respondents also expressed their need for a user-friendly platform. Accessibility to a computer and the Internet, features of the Web 2.0 platform, user support, technology skills, and previous technological experience were found to influence perceived ease of use and usefulness. Our results show that the perceived lack of time of health professionals has an influence on perceived behavioral intention to use it despite favorable perception of the usefulness of the Web 2.0 platform.ConclusionsIn conclusion, female health professionals in Quebec believe that Web 2.0 may be a useful mechanism for knowledge transfer. However, lack of time and lack of technological skills may limit their use of a future Web 2.0 platform. Further studies are required with other populations and in other regions to confirm these findings.

show abstract

Section: Discussionmentioning

confidence: 82%

Clinicians’ Expectations of Web 2.0 as a Mechanism for Knowledge Transfer of Stroke Best Practices

David¹,

Poissant²,

Rochette³

2012

J Med Internet Res

View full text Add to dashboard Cite

show abstract

“…Knowledge brokering has been greatly enhanced through the use of Web platforms (Websites, Facebook, blog, Twitter, newsletters, Wikis, You Tube, Linkln, podcasts, chatting, RSS feeds, etc.) [10]. In this context, new jobs and professions devoted to knowledge brokering 2.0 came into being.…”

Section: Theoretical Foundationsmentioning

confidence: 97%

Knowledge brokering in the web 2.0 era: Empirical evidence of emerging strategies in government agencies

Ламари

Belgacem

2012

International Conference on Education and E-Learning Innovations

View full text Add to dashboard Cite

“…Cole (1983:126) uses the Gini coefficient G which is a measure typically used to measure inequality (for recent examples within this field see, e.g. Burrell, 2008;Chiang, Huang, & Huang, 2009;Huang, Shen, Chiang, & Lin, 2007). At pure equality, G = 0, and at pure inequality, G = 1.…”

Section: The Abc Techniquementioning

confidence: 99%