The co-learning process in healthcare professionals: Assessing usersatisfaction in virtual communities of practice Ana Isabel Jiménez-Zarcoa, Inés González-Gonzálezb,⇑, Francesc Saigí-Ru
Trang 1The co-learning process in healthcare professionals: Assessing user
satisfaction in virtual communities of practice
Ana Isabel Jiménez-Zarcoa, Inés González-Gonzálezb,⇑, Francesc Saigí-Rubióc, Joan Torrent-Sellensa a
Economics and Business Studies, Open University of Catalonia – I2TIC Research Group-IN3Avda, Tibidabo, 39, 08039 Barcelona, Spain
b
Economics and Business Studies, Pompeu Fabra University – I2TIC Research Group-IN3, Ramón Trias, 27, 08005 Barcelona, Spain
c
Information Sciences and Communication Studies, Open University of Catalonia – I2TIC Research Group-IN3, Tibidabo, 39, 08039 Barcelona, Spain
a r t i c l e i n f o
Article history:
Available online xxxx
Keywords:
Co-learning
Information and communication
technologies (ICT)
Virtual communities of practice
Perceived satisfaction
Healthcare sector
a b s t r a c t
Communities of practice are nowadays an important concept in the healthcare sector Particularly, the intensive use of ICT has allowed their creation into a virtual environment – Virtual Communities of Prac-tice (VCoPs) developing optimal conditions to make possible the collaborative learning process The VCoPs antecedents can be situated on social network phenomenon, where individuals with different traits but a common interest/objective are linked, use ICT potency (especially social media) to inter-change information, experiences and contents among them And as a result, people create and share knowledge, and learn collaboratively VCoP users have a higher satisfaction level in the collaborative learning process when they can: (1) Achieve benefits related to patient diagnosis and treatment (cost reductions, faster management, quality and accuracy of diagnosis, etc.); (2) Increase the share capital
of participants and creating networks of trusted individuals Given the interest in this topic, the objective
of this work is to identify the factors that determine user satisfaction in relation to Community Practice (CoP) and the process of building shared knowledge For this, a sample of 130 Spanish health profession-als participating in an online community, and developed in a virtual community of practice, is discussed The results obtained from an analysis of logistic regression show evidence of the perception of efficiency and effectiveness in collaboration with the members of the VCoP as positively influencing the perceived satisfaction with the CoP Also, the degree of individual participation in the community affects the degree
of perceived satisfaction The conclusions provide interesting strategic recommendations in the manage-ment process of the CoP
Ó 2014 Elsevier Ltd All rights reserved
1 Introduction
Based on the theory of situated learning, where professional
learning occurred through participation in practice and interaction
with colleagues, the term of Communities of Practice (CoP) has
evolved over time to refer to groups of people who share a concern
or problem, and who come together to interact, learn and create a
sense of identity, and in the process, build, share knowledge and
solve problems (Wenger, 1998)
In the business sector, CoPs have gained recognition due to its
capacity to foster the professional development of individuals, as
well as improve business outcomes for organization (
Alicia-Rivera, 2011; Antony, Rosman, Eze, & Gan, 2009; Ardichvili, Page,
& Wentling, 2003; Swan, Scarbrough, & Robertson, 2002) Based
on these claimed benefits of CoPs in the business sector, the crea-tion of CoPs is being promoted in other professional fields, such as the healthcare sector
Initially, CoPs in the health sector have been used as a tool to drive knowledge management But as Díaz-Chao, Torrent, La
obtain other benefits relative to the improvement of: (a) profes-sional practice efficiency and efficacy; and (b) healthcare organiza-tional performance On the other hand, user satisfaction is a term frequently used in marketing area, and in general terms it is defined as a measure of how a products and services supplied by
a company meet or surpass user or customer expectation Relative
to healthcare sector, especially in relation to user VCoP satisfaction, this concept measures the subjective user assessments of the any outcome or experience regarding to a VCoP as a specific technolog-ical tool that makes possible the knowledge creation and sharing, and the collaborative learning process as well
http://dx.doi.org/10.1016/j.chb.2014.11.057
0747-5632/Ó 2014 Elsevier Ltd All rights reserved.
⇑ Corresponding author.
E-mail addresses: ajimenezz@uoc.edu (A.I Jiménez-Zarco), igonzalezgonzal@uoc.
edu , ines.gonzalez@upf.edu (I González-González), fsaigi@uoc.edu (F Saigí-Rubió),
jtorrent@uoc.edu (J Torrent-Sellens).
Contents lists available atScienceDirect
Computers in Human Behavior
j o u r n a l h o m e p a g e : w w w e l s e v i e r c o m / l o c a t e / c o m p h u m b e h
Please cite this article in press as: Jiménez-Zarco, A I., et al The co-learning process in healthcare professionals: Assessing user satisfaction in virtual
Trang 2com-In this sense, literature points out the relationship between
sat-isfaction and users’ personal and sociodemographic characteristics
studies show that users’ profile characteristics influence on their
satisfaction level (Ardichvili, Page V., & T., 2012; Delone &
expecta-tions that users have relative to a VCoP, as well as in how this
tech-nological tool meets or exceed the users’ expected goals
The wide range of benefits offered by the CoPs in the healthcare
sector, and in particular the VCoP, makes it convenient to analyze
the determinants of user satisfaction in relation to the VCoP
regarding the process of building shared knowledge To this end,
this work presents two distinct parts Based on the concept of
VCoP, the theoretical part starts describing some of the main
ben-efits that virtual communities offer to health care organizations
Then, and based on a thorough review of the literature, we present
some of the factors identified as determinants in the degree of
sat-isfaction of VCoPs users as a tool in the process of knowledge
con-struction The factors considered are relative to individuals’
sociodemographic characteristics – gender, professional
specializa-tion, or workplace On the other hand, there also considered other
factors relative to the VCoP users’ profile, such as, the degree of
implication or knowledge that users have on the VCoP, as well
as- the levels of utility, efficiency or efficacy perceived
We continue the empirical study describing the characteristics
of the study sample of thr 130 Spanish health professionals, active
members in VCoP, as well as the variables used in the statistics The
results obtained after the development of a logistic regression
analysis, show the perception of efficiency and effectiveness in
col-laboration between CoP members, has a positive influence on the
perceived satisfaction in relation to the VCoP In addition, the
degree of individual involvement influences the degree of
per-ceived satisfaction The conclusion shows interesting strategic
rec-ommendations in the management process of VCoP
2 Theoretical background
2.1 The virtual community of practice in the healthcare sector:
outcomes and drivers of user satisfaction
CoP is described as informal groups bound together by a
com-mon interest or passion Wenger (1998)suggests that there are
signs which indicate that a CoP has been formed These signs
include: sustained mutual relations, ways of communications
and sharing information that are facilitated by a common
under-standing that might be unique to the CoP, forms of practice that
assume sharing implicit knowledge of the process and procedures
as well as a sense of ‘‘how things are going’’, a sense of membership
that has arisen from experiences of working together, and the
development of identifiable practice styles and are unique to the
CoP
The intensive use of ITC has favored the development of VCoP A
virtual community is a community of people sharing common
interests, ideas, and feelings over the Internet or other
collabora-tive networks.Alavi (2013)defines VCoPs as a social network of
individuals, who interact through social media, potentially
cross-ing geographical, political and psychological boundaries in order
to pursue mutual interest or goals In the same line, Ramalho,
conversation, a learning environment, and knowledge sharing
VCoP is a community of practice in which links relationships, and
these do not take place in a physical space, but in a virtual space
like the Internet
Individuals use social media in both, personal and professional
area In fact, organizations favor the use of social media as a means
to improve communication, knowledge creation and collaboration among employees.Antony et al (2009)show how the reason why communities of practice are effective in promoting knowledge cre-ation and sharing in organiscre-ations is the fact that most of an orga-nization’s competitive advantage is embedded in the intangible, tacit knowledge of its people and that competencies do not exists apart from people who develop them (Dougherty, 1995) Not only new knowledge can be created through the sharing in community, skills are also discursively produced and disseminated during the conversation and networking activities (Brown & Duguid, 1991; Weick & Westley, 1996)
Therefore, one of the ways to help people share and internalize tacit knowledge is to allow them to talk about their experiences and to exchange their knowledge while working on specific prob-lems Through this process, individual VCoP member’s skills, tal-ents and knowledge will be improved and can be identified This will enhance the community’s effectiveness as they recognize which one among them is an expert in a specific area The commu-nity may save their energy and time since they know the right per-son to refer to and to seek for advice regarding a specific subject matter or problem By having different skills, talents and knowl-edge among community members, the organization may leverage
on its human capital that is the source of its organisational capabil-ities The VCoP may also generate unique ideas for new product and services through the combination of different skills, talents and knowledge that each member possesses (Brown & Duguid, 1991; Weick & Westley, 1996)
Health professionals are using social media tools in a variety of innovative and creative ways – to build and improve social and professional networks and relationships, to share health-related information and to engage with the public, patients and colleagues
in shaping future health policies and priorities Closed online groups are also commonly used for education and peer support
In this sense, literature show how in healthcare sector, social media can offer enormous benefits to different groups, in different professional and social areas.Grajales, Sheps, Ho, Novak-Lauscher,
dimension to health care as it offers a medium to be used by the public, patients, and health professionals to communicate about health issues with the possibility of potentially improving health outcomes In this sense, recent works such asTsuya, Sugawara,
(2014)analyze the use of specific social media in treating of cancer
or diabetes patients But also, social media is a powerful tool, which offers collaboration between users and is a social interaction mechanism for a range of individuals, making possible two impor-tant process development: (1) knowledge creation and sharing, and (2) collaborative learning
Especially, VCoPs have made important progress in the knowl-edge management of health institutions (Nie, 2012) As
repre-sent, possibly the best way to manage knowledge bases in organi-zations, since they integrate the most important dimensions in knowledge management: the technological, strategic, and cultural
or behavioral dimensions
2.2 VCoPs benefits at healthcare organizations The interest in identifying the various benefits that VCoP offers
is relatively new in specialized literature And that is, as pointed out (Chang, Chang, & Jacobs, 2009) the various benefits offered: (a) have different kinds, (b) affect various agents and (c) influence different levels of developed activity
Relative to the benefits nature, Wenger, McDermott, and
assets, such as professional skill and business outcomes, but also
Trang 3intangible assets such as relationships among people, a sense of
belonging, or professional identity, or the creation of intellectual
and relational or social capital However, it is clear that being able
to share and co-create knowledge is the main objective of VCoP in
healthcare In fact, one could say that this is the reason for
the community, allowing the short term to solve existing
problems both individually and collectively While long term,
it assumes an increase of intellectual capital available
(Alicia-Rivera, 2011)
The actual scope of VCoP is high Thus, it is possible to identify
three types of benefits depending on the recipient: individual
ben-efits; community benefits, and organizational benefits (Fontaine &
for people than for organizations Regarding individuals, VCoPs
affect both professional activity as well as the personal lives of
those individuals Furthermore, being members of the VCOP also
affects the way in which relationships are established at a group
level (Adams, Robert, & Maben, 2012; Barnett et al., 2014) While
in relation to organizations, the impact consists of four levels:
activities, output, value and business results (Berraies & Chaher,
2014; Chandler & Fry, 2009; Chang et al., 2009; Milne & Lalonde,
2007)
practitio-ners to change practice to implement evidenced based practice, or
to enhance performance Among the observed effects include
improving the quality of care (Jiwa et al., 2009; Ramalho et al.,
2010); reducing diagnostic time, or the establishment of new
treat-ments and protocols in emergency situations (Swan et al., 2002) In
fact, VCoPs facilitate management processes and innovation in the
health institution Work likes that ofLong, Cunningham, Carswell,
VCoP makes it possible to generate ideas for new services, practices
and products Communities of practice address complex dilemmas,
such as improving quality and safeguarding high standards of care
by fostering an environment for clinical care (Fung-Kee et al., 2008;
Jiwa et al., 2009)
Fung-Kee et al (2008)indicate benefits directly related to
activ-ity and the outcome of the health institution, such as increasing
productivity and saving time and economic costs (Díaz-Chao
et al., 2014; Massingham & Massingham, 2014; Ranmuthugala
et al., 2011; Schenkel & Teigland, 2008) Meanwhile, at the
strate-gic level, developing intellectual capital (Paype et al., 2014ß
Egan & Jaye, 2009; Ryan, Puri, & Liu, 2013) in the institution favors
the increase of involvement of health personnel, and the level of
competitiveness of the institution
Belonging to a VCoP also favors the creation of social capital,
derived from the network of people who make up the community,
and between which creates trust and commitment In relation to
the health institution,Lesser and Storck (2001)suggest that social
capital generates between VCoP members, favors knowledge, trust,
reciprocity, co-operation and behavioral changes that enhance
VCoP performance
links are between community members, the greater the knowledge
is shared between them The relationship can be so intense that
community members can create a sense of belonging and identity
through shared activity and purpose (Adams et al., 2012; Wenger,
1998) The latter is especially relevant in the professional field,
such as professional staff, to highlight the role of VCoP as a tool
to alleviate the degree of isolation experienced by the healthcare
professional.Barnett et al (2014) and Rolls, Kowal, Elliott, and
from hospital to general practice can contribute to the
develop-ment of different types of isolation; which in turn, leads to the
decrease of knowledge sharing (Cooper & Kurland, 2002) and
lowered intention to work in rural areas and change of career choice (Williams et al., 2001)
These claims have led to VCoP being promoted in healthcare as
a tool to enhance knowledge, improve practice, and in general, increase the individual and organizational performance (Le May,
2009) Nevertheless, the real and bigger challenge in fostering a VCoP is the need to continuously supply knowledge, i.e., the will-ingness to continue knowledge-sharing Most scholars dealing with this issue in relation to VCoPs have focused on the diverse perspectives in order to explain what encourages VCoP members
to voluntarily and continuously help one another through continu-ous knowledge-sharing
Among newer lines, that focus highlights on the análisis of the degree of user satisfaction with the VCoP, in relation to the process
of shared knowledge building in the healthcare sector So far, few papers have been published (De Valck, Van Bruggen, & Wierenga,
2009) But the first results obtained show how the identification
of the drivers of satisfaction can help improve and increase the knowledge creation process of VCoP
2.3 VCoP user satisfaction Satisfaction is possibly one of the concepts that has received most attention by academics and professionals Plentiful jobs from the field of management, and consumer behavior have dealt with providing a definition of this concept, and to identify the drivers
of user satisfaction (Powers & Dawn, 2009) However, in relation
to the health sector, there are few studies that analyze the satisfac-tion of healthcare professionals, especially in VCoPs (De Valck
et al., 2009)
Some of the work done in the field of VCoPs has analyzed user satisfaction from a social and relational perspective (Sun, Fang, &
of knowledge creation, motivated by factors related to their per-sonality and the satisfaction they feel when sharing their knowl-edge or collaborating with others (Ramalho et al., 2010) AsSun
processes is not based on monetary returns But also, authors as
are relative to: (a) the profile and usage habits of healthcare profes-sionals, and (b) technology effects can influence VCoP user satisfac-tion Thus, it is because sometimes users are involved in some knowledge exchange processes, due to hoping to get some kind
of benefit or reward, which is not of an economic or social nature The combination of both technical and human factors is rela-tively new That is why following the previous idea, in this paper
we propose a model that jointly considers factors relating to the professional’s user profile, their technological habits, and the degree of knowledge they have on VCoP In addition, also consid-ered are the benefits that the VCoP user provides and how the level
of efficiency and effectiveness with which they are achieved Generally, satisfaction measures subjective user assessments of any outcome or experience regarding a specific technological tool
or information system (Hsiu-Fen, 2008) User satisfaction is a determinant of the level of use of a technological tool (Delone & McLean, 1992), but also, it is a key factor in its success (Bourhis
& Dubé, 2010) In the present case, as the clinician is satisfied with VCOP as a knowledge management system, the greater the degree
of participation (De Valck et al., 2009; Hsiu-Fen, 2008)
Health staff participates voluntarily and with different degrees
of intensity in the VCoP The reasons for the user to approach and participate in it may be different in each case Although there
is a high degree of consensus regarding the motivation to partici-pate in the VCoP, it is related to the need to create or acquire the knowledge necessary to quickly and accurately solve a problem
Please cite this article in press as: Jiménez-Zarco, A I., et al The co-learning process in healthcare professionals: Assessing user satisfaction in virtual
Trang 4com-(Cheung, Lee, & Lee, 2013; Sun et al., 2014;De Valck et al., 2009;
Ramalho et al., 2010)
As the user to respond to the need that leads to approach the
VCOP, will be satisfied In This sense, Adams et al (2012) and
to get involved in acts of knowledge creation, due that they feel the
moral obligation to share they knowledge, or repay what they have
gained from the VCoP (Chiu, Hsu, & Wang, 2006) In other cases,
users need to access to information and to specialist in certain field
(Chandler & Fry, 2009; Knoben & Oerlemans, 2006; Long et al.,
2014)
partici-pate in a VCoP differently Some people devote more to learning
from and connecting to other members, while others only want
to become informed through the results of the VCoP These authors
suggest that there are three levels of community participation
based on the level of participation in VCoP The first level consists
of the core or leaders or core group, it is a small group-above 10%
or 15% of the total, which is called the core of the community Then
there are the active members – active group – who participate
reg-ularly, but with a lower level of intensity than the previous group
Finally, there are the other members, or peripheral group – called
lukkers or peripheral group – who do not actively participate,
but at the periphery, are limited to read and use the information
available in the VCOP
Abundant studies point to the relationship between level of use
and satisfaction is directly and positively Delone and McLean
other simultaneously and that the type of relationship between
them is reciprocal, In the same lime, Anandarajan, Igbaria, &
related to user satisfaction However, some studies indicate that
the relationship between the two is not significant (Al-Gahtani &
King, 1999; Torkzadeh & Dwyer, 1994)
H1 The degree of user involvement in the VCoP has a positive
influence on satisfaction
The professional user’s profile has a significant impact on the
reasons for participating in the VCoP and in the level of satisfaction
(Ikioda et al., 2013) In particular, the degree of specialization of
health professionals, and the place where they work, determine:
(a) the professional skills of the individual (Adams et al., 2012.)
As well as (b) the knowledge that has and the needs of new
knowl-edge (Chandler & Fry, 2009;Cook-Craig & Sabah, 2009) Hopefully
those professionals with a lower level of specialization, participate
in VCoP in search of knowledge; while highly skilled professionals,
foster knowledge creation Also, where the professional conducts
business may also affect the role the professional plays in VCoP
primary care professionals, use the VCoP for knowledge or gather
information needed to provide more accurate diagnoses
H2 The degree of professional specialization the VCoP user has a
positive influence on the degree of satisfaction
H3 The VCoP user’s workplace has a positive influence on the
degree of satisfaction
Another characteristic feature of health professionals is gender
In recent years, there has been an increase in the number of
women entering the medical profession About 47% of the
profes-sionals are women (Lamber & Holmboe, 2005) Meanwhile, in the
group of nurses, the percentage of women is much higher, at nearly
90% in total (Kelly, 2010) This imbalance is also seen in terms of
the presence of women in positions of responsibility, as well as the performance of certain medical specialties (Pastor-Gosalbez, Belzunegui-Eraso, & Ponton-Merino, 2012)
However, in relation to the existence of differences in the use of technology, and the attitude and satisfaction with it, studies show
no conclusive results.Esteves, Bohórque, and Souza (2008)indicate that women have a lower predisposition to studies online How-ever, the above study, as that made byRiahinezhad, Samavatian,
show a different attitude or level of satisfaction than men Also
the degree of female participation in VCoPs
H4 The VCoP user’s gender does not influence the degree of satisfaction
The degree of user involvement in the VCOP is also largely determined by the frequency and where ICT use The presence of technological resources can facilitate collaborative learning, but cannot guarantee that it will occur at VCoP (Cook-Craig & Sabah,
2009) It is necessary that the user routinely utilizes technology, both in the professional field and personally It should be noted that physicians use ICTs in their professional and personal lives
As ICT users, healthcare professionals may use technology in differ-ent places and with differing degrees of frequency When it comes
to defining the profile of an ICT user, cultural and social aspects clearly have a role to play (Ammenwerth et al., 2003), as do other circumstantial variables such as experience and training (Agarwal
& Prasad, 1999) That is why we incorporated the physician’s ICT usage habits as an explanatory factor of the healthcare professional satisfaction
It is expected that the professional make greater use of ICT in the workplace This is especially relevant in relation to the use of VCoP, since this approach is highly professional (Chandler & Fry, 2009; Gabbay & Le May, 2009) Also considered is the professional using ICT often, because that user will be a regular user of VCOP and will develop an active role in it (Baroudi, Olson, Ives, & Davis, 1986)
H5 The place where the VCoP user uses ICT has a positive influence on the level of satisfaction
H6 The frequency with which the VCoP user uses ITC has a posi-tive influence on the level of satisfaction
The clinician makes the decision to be a member of the VCoP and then actively participates in it, and is conditioned by the degree of knowledge he has of the VCoP (Gabbay & Le May, 2009) The greater degree the knowledge, the greater the user’s ability to set realistic expectations about the benefits to the VCoP (Gustafsson, Johnson,
& Ross, 2005) Furthermore, also a high degree of knowledge about VCoP, favors the development of the activity within community, both in terms of the interaction between members (Fang & Chiu,
2006), as the technological tools that are available (Cheung et al.,
2013) Finally,Chang et al (2009), Cheung et al (2013)and De
VCOP makes results easier and more objective
H7 The degree of knowledge that the user has on the VCoP positively influences the degree of satisfaction
Along with professional features, technology is also a key factor
in the level of user satisfaction VCoP (Hsiu-Fen, 2008) Since the 1970s, various theoretical models have been developed with the aim of explaining the user’s attitude and acceptance of new infor-mation technologies in the professional sphere (Davis & Venkatesh,
theoretical proposal most widely applied into healthcare sector
Trang 5(Hsiu-Fen, 2008; Jennett, Hall, Hailey, Ohinmaa, et al., 2003;
Palmas, Shea, Starren, et al., 2010; Wu, Chaudhry, & Wang,
2006) Thus, it has the capacity to robustly explain the intention
to use ICTs, taking into account individuals’ perceptions of
technol-ogy: (1) perceived usefulness and (2) perceived ease-of-use
From the above two factors, the work byAlavi (2013)and
in the degree of satisfaction obtained by the VCoP user In
particu-lar, perceived usefulness refers to the degree to which users
per-ceived a subjective probability that the virtual community will
increase its performance in information exchange Thus, profits
or the value obtained by the user is higher, thereby achieving
increase satisfaction (Rouibah & Hamdy, 2009)
H8 The level of utility the VCoP user perceives positively
influ-ences the degree of satisfaction
In addition to being received as highly useful, user satisfaction
is also influenced by the degree of perceived effectiveness and
effi-ciency in the VCoP In this regard, the work of Barnett, Jones,
Bennet, Iverson, & Bonney (2013, 2014)indicates that the VCoPs
are listed as a highly effective and efficient means in the
knowl-edge creation and sharing processes VCoPs not only favor the
development of the above processes, but in addition, are shown
as a means that can effectively deal with isolation processes that
professionals suffer from (Larkins et al., 2004; Rolls et al., 2008)
Also, since they are based on intensive use of ICT, VCoP allows
the above benefits to be obtained quickly, simply and
inexpen-sively (Anandarajan & Anandarajan, 2010)
H9 The level of effectiveness that the VCoP user perceives
positively influences the degree of satisfaction
H10 The level of efficiency that the VCoP user perceives positively
influences the degree of satisfaction
In summary,Fig 1shows the developed model:
3 Empirical analysis
3.1 Data collection, empirical methodology and validation
This paper analyzes the determinants of user satisfaction in
relation to the VCoP regarding the process of shared knowledge
building To confirm the proposed hypotheses, we proceeded to
conduct an exploratory analysis on a sample of 130 Spanish health professionals who actively participate in a VCoP (seeTable 1) Created in 2013 to VCoP, consists of a total of 160 primary care physicians and specialty They voluntarily chose to participate in the VCoP in order to manage medical knowledge and, not only to bring benefits to both patients indirectly but to the professionals involved in health and the healthcare system The VCoP is managed
by a multidisciplinary team but with common objectives and high levels of trust (seeTable 2)
Since its creation, VCoP has received a total of 6,349 consulta-tions generated 439 contribuconsulta-tions VCoP registered high activity for the months of April, May and June It can be considered that space has become a tool of communication and generation of knowledge among primary care and hospital care professionals
at a national level
All variables were measured directly through the questionnaire The obtained information was analyzed using bivariate and multi-variate techniques, such as the binary logistic regression analysis
4 Preliminary evidences 4.1 Physician’s profile The health professionals involved in the VCoP are mostly women, 77.3% of the total sample, with a highly specialized med-ical training (67.0%), and are active in the professional group of pri-mary care (90.8%)
Gender does not influence significantly the participation in VCoP (p = 0.23) whereas the activity performed and where one practices has a significant influence on the degree of participation The relationship between participation in the VCoP and the profes-sion is statistically significant at a 99% confidence level (p = 0.0001) Nurses make up 33% of the participants in the VCoP, while the remaining 67.0% are doctors However, the same partic-ipants in the VCoP do not maintain the same ratio of shares, as 91.6% are held by the group of doctors
As occurred in the previous case, the relationship between the degree of participation and the location where the activity is devel-oped is statistically significant at a 99%confidence level (p = 0.0001) Of the participants, 9.2% are active in hospitals, carry-ing 42% of the total shares in the VCoP While 58% of the participants is held by primary care professionals (90.8%) (see
Table 3)
Fig 1 Theoretical model.
Please cite this article in press as: Jiménez-Zarco, A I., et al The co-learning process in healthcare professionals: Assessing user satisfaction in virtual
Trang 6com-Regarding the use of technology, 35.8% of VCoP users indicate
they use a computer at least once a week, while 64.2% use it
daily Users that use the computer both from home and from
work make up 80.6%, while only 19.4% only use it at home or
at work
Finally, in relation to the VCoP, 34.3% of VCoP users indicate
being highly satisfied with the virtual community However, it
must be noted that although all individuals interviewed are
mem-bers of the virtual community, levels of knowledge and confidence
are relatively low Of the total respondents, only 34.6% admit to
having a high level of knowledge of the community, compared to
65.4% indicating that they have a low level Also, 32.4% indicated
that they trusted the usefulness of the community, while 67.6%
indicated that their confidence level is low However, the perceived
effectiveness and efficiency in the VCoP rises to 43.3% of
respondents, who perceive highly the efficiency and effectiveness
in the use of the VCoP
4.2 Drivers of VCoP user’s satisfaction
In order to test the hypotheses proposed above, a binary logistic regression analysis was performed (seeTable 4) This statistical technique measures the relationship between a categorical able (nominal o nonmetric), and one or more independent vari-ables, which are usually (but not necessarily) continuous, by using probability scores as the predicted values of the dependent variable The goodness-of-fit of is high as are confirmed by the val-ues and levels of significance reached by the Chi-square statistic and the Hosmer–Lemeshow test Thus both are significant at 99%
of confident level Both measures are similar, and indicate the extent to which the model provides better fit than a null model with no predictors, or, in a different interpretation, how well the model fits the data, as in log-linear modeling (Cox & Snell, 1989) Moreover, the values of Nagelkerke’s statistic indicated that the sample had explanatory power The value of this statistic was 79.3% Note that Naglekerke R2coefficient summarizes the propor-tion of variance in the dependent variable associated with the pre-dictor (independent) variables Thus, with larger R2 values indicating that more of the variation is explained by the model (Nagelkerke, 1991) All variables considered in the analysis, except genre and frequency of use of ICT influence the degree of satisfac-tion obtained by the healthcare professional The perceived effectiveness, followed by the degree of knowledge of VCoP are the two variables that have a greater influence on clinician satisfac-tion Both variables are significant at respectively 99% and 95%
Table 1
Technical specifications of the study.
Sampling universe 160 doctors
Interview Online
Margin of error 3.7% p = q = 95% confidence level
Fieldwork April–June 2014
Table 2
Variables of the study.
Model variable Definition
Satisfaction The dichotomous variable indicates whether the user is satisfied with the VCoP The variable takes the value 1 = yes and 0 = no Gender The dichotomous variable indicates whether the user is satisfied with the VCoP The variable takes the value 1 = woman and 0 = man Profession The dichotomous variable indicates whether the user is in a practice as a doctor or nurse The variable takes the value 1 = doctor, nurse
and 0 = Place of activity The dichotomous variable indicates whether the user works in a primary or hospital care setting The variable takes the value
1 = primary care, and 0 = hospital Frequency of use ICT Frequency of the use of technology by the healthcare professional The variable has the value of 1 if ICT is used at least once a day, and
0 if ICT is used at least once a week Location of ICT use Location where the professional uses the technology 1 = home, 2 = workplace, 3 = public places, 4 = different places
Degree of VCoP knowledge Professional level of knowledge about the VCoP The variable has the value 1 if a high degree of knowledge, and 0 if the level of
knowledge is low Degree of perceived VCoP
utility
Level of usefulness the professional perceives the VCoP to be The variable has the value of 1 if has a high degree of knowledge, and 0 if the level of knowledge is low
Degree of perceived VCoP
effectiveness
Level of effectiveness the professional perceives the VCoP to be The variable has the value of 1 if has a high degree of knowledge, and 0
if the level of knowledge is low Degree of perceived VCoP
efficiency
Level of efficiency the professional perceives the VCoP to be The variable has the value 1 if a high degree of knowledge, and 0 if the level of knowledge is low
Number interconsultations
made
Number of consultations performed by the professional using VCoP The variable has the value 0 = never, 1 = between 1 and 5; 2 = 5– 10; 3 = more than 10
Table 3
Descriptive variables of the sample.
NS: Not significant.
⁄
Significant at 90% confidence level.
⁄⁄
Significant at 95% confidence level.
*** Significant at 99% confidence level.
Trang 7confidence level Next in importance, work place (p = 0.003) and
perceived efficiency (p = 080) Finally, the profession (p = 0.003),
the number of consultations in the VCoP (p = 006), perceived
use-fulness (p = 003), and where ICT (p = 004) use, have a relatively
low level of influence on user satisfaction
The results obtained confirm the great majority of proposed
hypotheses (H1, H2, H3, H4, H5, H7, H8, H9, H10) In this
sense-and as shown inTable 5-confirms that the professional profile of
the user and their usage habits in relation to technology influence
their degree of satisfaction with the VCoP Moreover, it also
con-firms how their perceptions regarding the benefits of VCoP and
how efficiency and effectiveness influence on satisfaction Only
hypothesis No 6 (H6) related to the frequency of technology use
is not confirmed Here, note that the vast majority of users use
technology frequently (once a week) or very frequent daily)
5 Discusion
The knowledge society has promoted a change of scenery as far
as the culture of knowledge is concerned This is summarized in
the enhancement of exchange among peers, in a system where
the value created is not dependent on hours worked, but in terms
of knowledge provided Premium quality over quantity, hence it is
necessary to organize the overall time efficiency criteria Also, the
workplace is irrelevant, since the technology eliminates barriers of
space and time, while access to resources, and the development of
collaborative processes becomes possible Finally, in this time of
innovation for the first time, the experience is a tool for improving worker efficiency by allowing: (a) reducing the time required to solve problems; (b) increase the degree of flexibility; (c) the pro-motion of collaboration with other agents
In this context, communities of practice provide a useful model for knowledge management of the health organization; but also a mechanism that facilitates and promotes a new way of working and learning based on collaborative work and the use of collective intelligence If communities the virtual component is incorporated, increase both the type of benefits, such as the type of agents that perceive
People, communities and organizations are tangible and intan-gible benefits through participation in VCoPs.Fontaine and Millen
how, personal productivity, job satisfaction and personal reputa-tion and sense of belonging); community benefits (knowledge sharing, expertise and resources, collaboration, consensus and problem solving and trust between members), and organizational benefits (operational efficiency, cost savings level of service or sales, speed of service or product, and employee retention)
par-ticipation, including knowledge effects (externalization, preserva-tion, documentation and distribution of knowledge), business performance effects (improved business process, enhanced pro-ductivity, and innovation-enhancing effects) and socialization effects (collective sense making and common language)
The real and bigger challenge in fostering a VCoP is the need to continuously supply knowledge, i.e., the willingness to continue knowledge – sharing Diverse perspectives have been used to explain what encourages VCoP members to voluntarily and contin-uously help one another through continuous knowledge-sharing One line of novel work is based on the analysis and identification
of the drivers of user satisfaction with VCoP
In line with the previous proposal, this paper tries to explain user satisfaction with VCOP through a model that combines factors relating to the user and technology To do this, following an explor-atory analysis, the professional user’s profile, their technology hab-its, and the degree of knowledge you have about VCoP are analyzed Further, also considered the role of technology, so that
it takes into consideration the benefits of VCoP offers the user how the level of effectiveness and efficiency with which they are obtained
The results obtained show that the variables are considered drivers of clinician satisfaction with VCoP The two most important factors are the effectiveness and perceived usefulness in VCoP Both factors are related to the perception on the technology-partic-ularly on VCoP – user has Perceived usefulness refers to the value,
or set of benefits that the user expects to receive the VCoP Mean-while, the efficiency is the ability, or degree of effectiveness of
Table 4
Relationships between the explanatory variables and VCoP users’ satisfaction.
Professional specialization 2.944 743 15,686 1 000 053
VCoP participation level 2.057 753 7.467 1 006 7.821 Frequency of ICT use 1.253 1.158 1.171 1 279 3.500
Level of VCoP knowledge 1.254 427 8.625 1 003 3.503 Level of perceived usefulness on VCoP 4.584 1.800 6.487 1 011 97,897 Degree of perceived VCoP effectiveness 9.395 2.820 11,103 1 001 000 Level of perceived VCoP efficiency 4.045 2.312 3.062 1 080 57,136
Chi-square: 94,739, sig 0.000.
Hosmer–Lemeshow test: 19.273, sig 0.018.
Nagelkerke R square 793.
Table 5
Contrast of hypothesis.
Hypothesis
H1: The degree of user involvement in the VCoP has a positive influence on
satisfaction
YES H2: The degree of professional specialization the VCoP user has a positive
influence on satisfaction
YES H3: The VCoP user´s workplace has a positive influence on satisfaction YES
H4: The VCoP user´s gender does not influence the degree of satisfaction YES
H5: The place where the VCoP user uses ICT has a positive influence on
satisfaction
YES H6: The frequency with which the VCoP user uses ICT has a positive
influence on satisfaction
NO H7: The degree of knowledge that the user has on the VCoP positively
influences the degree of satisfaction
YES H8: The level of utility the user perceives the VCoP to be positively
influences the degree of satisfaction
YES H9: The level of effectiveness the user perceives the VCoP to be positively
influences the degree of satisfaction
YES H10: The level of efficiency the user perceives the VCoP to be positively
influences the degree of satisfaction
YES
Please cite this article in press as: Jiménez-Zarco, A I., et al The co-learning process in healthcare professionals: Assessing user satisfaction in virtual
Trang 8com-VCoP to achieve the goals that the user searches the com-VCoP While
perceived usefulness
The user approaches the VCOP with the aim of providing or
obtaining a knowledge that is needed to solve a problem
(Ramalho et al., 2010) In addition, you can also find other kinds
of benefits can range from improving their professional practice
(Ranmuthugala et al., 2011), to solve problems related to their
iso-lation (Barnett et al., 2014) In relation to professional practice, it is
observed VCOP That supports practitioners to evidenced based
practice in Place to Enhance or performance In line with the work
ofJiwa et al (2009), Ramalho et al (2010), improvement of
profes-sional practice involves improving the quality of care, reducing the
time of diagnosis, or the establishment of new treatments and
tocols in emergency situations In addition, improvement of
pro-fessional practice facilitates management processes and
innovation in the health institution VCoP makes possible generate
ideas for new services, practices and products Communities of
practice address complex dilemmas, such as improving quality
and safeguarding high standards of care by fostering an
environ-ment for clinical care (Fung-Kee et al., 2008; Jiwa et al., 2009)
Isolation is one of the main problems faced by health
profes-sionals The changes in training form hospital to general practice
can contribute to the development of different types of isolation;
that in turn lead to decrease knowledge sharing (Cooper &
Kurland, 2002) lowered intention to work in rural areas and change
of career choice (Williams et al., 2001) Social isolation, is described
as a kind of loneliness occurs more commonly during rural terms
(Larkins et al., 2004) Structural isolation results from a single
doc-tor consulting with a single patient in a close room, with
appoint-ments often not in synchrony with other doctors, leading to lack of
interaction with colleagues, and can occurs in both urban and rural
placements Finally professional isolation is associated with barriers
to knowledge sharing, including access to networking and training
events
The place where professional operates, along with the perceived
efficiency, are the variables that have a high degree of importance
on VCoP customer satisfaction Next in importance are the degree
of professional expertise, the level of participation and the degree
of knowledge that the user has the VCoP Finally, the place where
the professional use of ICT is the variable with the lowest degree
of influence on the level of satisfaction
The place where the healthcare professional operates is strongly
influenced by the degree of specialization that this presents Both
variables have a strong influence on relationship, both in relation
to the decision to participate in the VCoP, and in relation to the
benefits sought AsLarkins et al (2004) indicated, it is expected
that those professionals with a lower level of specialization and
operating in hospitals and research centers They are highly skilled
professionals who have great knowledge, and who are at the
fore-front of specialization So it is very likely to participate in the VCoP
in order to assist and support other professionals less qualified
Meanwhile, primary care physicians or nurses, given their lower
level of education, may access the VCoP intending to access the
knowledge needed to address certain problems At other times,
and as Williams et al (2001)the intention to participate in the
VCoP seeks to minimize the problems of isolation they may suffer;
both derived from the characteristics of the workplace for lack of a
more specialized or current education
The degree of perceived VCoP efficiency influences the degree of
shown satisfaction The efficiency is the result of the relationship
between the resources used in a project and achievements with
it In line with the work ofMassingham and Massingham (2014)
andZboralski et al (2006), the user perceives the VCOP as efficient
in the moment: (a) the resources used to achieve the objectives
which are less used with another type of system, medium or tool (including another VCoP); or (b) when using mime resources, VCoP yields better results In this sense, the virtual dimension of the VCoP favors the efficiency of this tool, it favors the development
of relations between actors in the community, while streamlining the processes developed within With this, VCoP members can access or collaboratively foster a greater amount of developed knowledge Furthermore, it is also possible that all the above pro-cesses develop faster and safer, yet less expensive
Factors such as the degree of knowledge or the level of user involvement in the VCoP also mark the level of satisfaction obtained It is clear that the level of user involvement in the VCOP
is largely determined by the level of knowledge Knowledge not only is to be limited to identifying the potential benefits that the VCoP provides But as Egan and Jaye (2009) and Wenger E (2009)it also involves knowing the different technological applica-tions and virtual spaces with which it has A VCoP incorporates technological applications such as blogs and wikis are able to facil-itate communication and the exchange of knowledge These pro-cesses are the basis for the development of collaborative learning processes The greater the degree of user knowledge and a more streamlined and efficient process of knowledge creation and shar-ing, the higher the obtained performance will be So when the user knows the usefulness of each tool available in the VCoP, the higher the level of participation
Regarding the participation of users, the results obtained indi-cate the existence of three different groups Within them, there
is a different level of satisfaction, such as a greater degree of partic-ipation and a higher level of achieved satisfaction This conclusion fully agrees with the results shown byVázquez-Bronfman (2011),
who indicated that each group of VCoP users display behaviors and seek different goals through their participation in the VCoP The leaders or core group represent a very small percentage of the total participants in the community, but play a more active role Mainly they are related as highly specialized professionals who carry out their main activity in hospitals or in research On the contrary, the peripheral group is composed of a high percent-age of individuals who simply consult and use the information available in the VCoP The majority it comes from individuals with
a lower degree of specialization of primary care-doctors, and nurses looking at the information needed to resolve questions or problems regarding a diagnosis en the VCoP
Finally, the place indicated where the professional use of ICT is the variable with the lowest degree of influence on user satisfac-tion 80.6% of users use the technologies recognized in both the workplace and at home This is an individual who use ICT technol-ogy intensively, both professionally and personally But above all, it
is a user who highly values the capacity of the VCOP to establish asynchronous communication, and to be able to overcome the bar-riers of space and time
The frequency of ICT use and gender are the only variables that show no influence on the level of satisfaction In relation to the fre-quency of use, the results do not meet expectations Academic lit-erature suggests the existence of a positive relationship between frequency of use and satisfaction (Chandler & Fry, 2009; Gabbay
& Le May, 2009) However, considering the high frequency of ICT use makes the group of medical professionals expect the lack of significance in the relationship
Furthermore, in relation to gender and user, the results confirm the hypothesis As noted previously, the work done do not show conclusive results on the sign and strength of the relationship between gender and satisfaction The group of health professionals shows significant differences in gender But these differences are
Trang 9not maintained in relation to the participation of these
profession-als in a VCoP
In relation to the gender of the members of the sample, we
note the high percentage of women who make up – 77.3% of
the total This fact does not influence the non-significance of
the variable gender; however it does have to be recognized as
one of the limitations of the study, which is necessary to consider
the conclusions presented here as a first approximation to the
analysis of VCoP in healthcare Other limitations to consider are
the limited sample size due to the newness of the VCoP, with
some limitations arising from the use of measurement scales used
in the questionnaire
This study constitutes an initial approach to this line of
research The exploratory nature of the study influences on the size
of the sample, which are users of an only VCoP, or on the statistical
technique used Therefore, despite the interesting findings
obtained, they must be considered with caution Thus, the nature
of the analysis makes it advisable to propose future research in
relation to the analysis of new drivers in satisfaction, or use of
met-ric scales to measure the variables analyzed It is also of interest to
identify how the degree of user satisfaction significantly influences
on the long-term behavior that shows VCoP user
6 Academic and estrategic implications
The conclusions have important implications in academic and
professional fields In academia this work not only provides a
def-inition of the concept of VCoP, but also clearly establishes the main
differences between physical and virtual communities
The analysis presented in this article, shows that VCoP are
organic systems that emerge and are constantly constituted and
evolve through interaction among community members This
par-ticular way of understanding VCoP enables the building of a
con-ceptual framework that explains user satisfaction of VCoP, based
on individual factors and technology This also identifies how the
drivers of individual satisfaction are determinants of behavior
and community involvement
The subsequent empirical validation of the proposed model
evidence that specific points on VCoP managers and health
institu-tions can make decisions to improve the success and results of the
VCoP
Variables such as effectiveness, efficiency and the degree of
knowledge that the user perceives the technology to be that
sup-ports VCoP is key to the degree of user satisfaction Thus, in order
to encourage participation in the VCoP, it is highly recommended
to encourage actions to identify the usefulness and usability of
tech-nology The potential user needs to know the benefits that the VCoP
offers; and also must be able to assess the reasons that make it the
best and most accurate tool to be more precise These
recommenda-tions have been in line with those offered by some theoretical
mod-els such as TAM, or Normalization Process Theory, describing how to
ensure success with the adoption and diffusion of technology tools
and systems, both individually and organizational
Finally, a second strategic recommendation to managers of
VCoP consists of analyzing the social network of the most active
members of the community The existence of different levels of
participation in the VCoP identifies three different groups of users
The most active – the leaders – are actually participating in the
construction of knowledge and offer value to the community The
identification of users with each of the leaders establishes contacts
(the different sub-networks within the VCoP), making it possible to
design and implement custom actions for each of these
sub-networks them
As a conclusion, show that hardly the results of our research cannot conclude to some design guidelines for future generation systems for collaborative learning in the healthcare Nevertheless they show some evidence about what are some of the reason for using social media – especially VCoP – for health communication,
as well as what are the benefits and the limitations that this tech-nological tool offers to users Among the reasons for using social media for health communication we can identify the next: (a) pro-vide health information on a range of conditions; (b) facilitating dialogue between different groups of health professionals (c) col-lect data on professionals’ experiences and opinions
On the other hand, it is possible to identify some benefits and limitations relative to VCoP use Among the benefits, note: (a) the increase of interaction among healthcare professionals, (b) the knowledge creation and sharing process; (c) peer/social/emo-tional support, (d) public health surveillance, and (e) potential to influence health policy Finally, among the limitation, we can iden-tify the next: (a) lack of reliability, confidence and privacy; (b) risks associated with communicating harmful or incorrect advice; (c) information overload
References
Adams, M., Robert, G., & Maben, J (2012) ‘‘Catchin up’’: The significance of occupational communities for the delivery of high quality home care by community of nurses Health, 17(4), 238–422
Agarwal, A R., & Prasad, J (1999) Are individual differences germane to the acceptance of new information technologies? Decision Sciences, 30(2), 361–391
Alavi, S (2013) Collaborative customer relationship management-co-creation and collaboration through online communities International Journal of Virtual Communities and Social Networking, 5(1), 1–18
Al-Gahtani, S S., & King, M (1999) Attitudes satisfaction and usage: Factors contributing to each in acceptance of information technology Behaviour & Information Technology, 18(4), 277–297
Alicia-Rivera, J C (2011) Communities of practice: Improving knowledge management in business Business Education & Accreditation, 3(1), 101–112
Ammenwerth, E., Graber, S., Herrmann, G., Burkle, T., & Konig, J (2003) Evaluation
of health information systems—problems and challenges International Journal
of Medical Informatics, 71, 125–135
Anandarajan, M., & Anandarajan, A (2010) E-research collaboration: Theory, techniques and challenges New York, USA: Springer
Anandarajan, M., Igbaria, M., & Anakwe, U P (2002) IT acceptance in a less-developed country: A motivational factor perspective International Journal of Information Management, 22, 47–65
Antony, J A J., Rosman, S N., Eze, U C., & Gan, G G G (2009) Communities of practice: The source of competitive advantage in organizations Journal of Knowledge Management Practice, 10(1) http://www.tlainc.com/articl181.htm Ardichvili, A., Page V., & Wenting, T (2012) Motivating and barriers to participation
in virtual knowledge-sharing communities of practice In Paper read at 3er European conference on organizational knowledge learning and capabilities Athens, Greece, 5–6 April.
Ardichvili, A., Page, V., & Wentling, T (2003) Motivation and barriers to participation in virtual knowledge-sharing communities of practice Journal of Knowledge Management, 7(1), 64–77
Barnett, S., Jones, S C., Bennet, S., Iverson, D., & Bonney, A (2013) Usefulness of a virtual community of practice and web 2.0 tools for general practice training: experiences and expectations of general practitioner registrars and supervisors Australian Journal Primary Health, 19(4), 292–296
Barnett, S., Jones, S C., Caton, T., Iverson, D., Bennett, S., & Robinson, L (2014) Implementing virtual community of practice for family physician training: A mix-methods case study Journal of Medical Internet Research, 16(3)
Baroudi, J J., Olson, M H., Ives, B., & Davis, G B (1986) An empirical study of the impact of user involvement on system usage and information satisfaction Communications of the ACM, 29(3), 232–238
Berraies, S., & Chaher, M (2014) Knowledge creation process and firms’ innovation performance: Mediating effects of organizational learning International Journal
of Human Resource Studies, 4(1), 204–222
Bourhis, A., & Dubé, L (2010) Structuring spontaneity’: Investigating the impact of management practices on the virtual communities of practice Journal of Information Science, 36(2), 175–193
Brown, J S., & Duguid, P (1991) Organizational learning and communities of practice: Toward a unified view of working, learning and innovation Organization Science, 2(1), 40–57
Chandler, L., & Fry, A (2009) Can communities of practice make a meaningful contributions to sustainable service improvement in health and social care? Journal of Integrated Care, 17(2), 41–48
Please cite this article in press as: Jiménez-Zarco, A I., et al The co-learning process in healthcare professionals: Assessing user satisfaction in virtual
Trang 10com-Chang, J., com-Chang, W., & Jacobs, R (2009) Relationship between participation in
communities of practice and organizational socialization in the early careers of
South Korean IT employees Human Resources Development International, 12(4),
407–427
Cheung, C M K., Lee, M K O., & Lee, Z W Y (2013) Understanding the continuance
intention of knowledge sharing online communities of practice through the
post-knowledge sharing evaluation processes Journal of American Society for
Information Science and Technology, 64(7), 1357–1374
Chiu, C M., Hsu, 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
Cook-Craig, P G., & Sabah, Y (2009) The role of virtual communities of practice in
supporting collaborative learning among social workers British Journal of Social
Work bcp 048
Cooper, C D., & Kurland, N B (2002) Telecommuting professional isolation and
employee developed in public and private organization Journal Organizational
Behaviour, 23(4), 511–532
Cox, D R., & Snell, E J (1989) The analysis of binary data (2nd ed.) London:
Chapman and Hall
D’Auria, J P (2014) Top parent blogs for raising children with type 1 diabetes.
Journal of Pediatric Health Care, 28(6), 568
Davis, F D., & Venkatesh, V (1996) A critical assessment of potential measurement
biases in the technology acceptance model: Three experiments International
Journal Human–Computer Studies, 45, 19–45
De Valck, K., Van Bruggen, G H., & Wierenga, B (2009) Virtual communities: A
marketing perspective Decision Support Systems, 47, 185–203
Delone, W H., & McLean, E R (1992) Information system success: The quest for
dependent variable Information Systems Research, 3(1), 60–95
Díaz-Chao, A., Torrent, J., La Casta, D., & Saigí, F (2014) Improving integrated care:
Modelling the performance of an online community of practice International
Journal of Integrated Care, 14, e007 PMCID: PMC3952812
Dougherty, D (1995) Managing your core incompetencies for corporate venturing.
Entrepreneurship Theory and Practice, 19(3), 113–135
Egan, T., & Jaye, C (2009) Communities of clinical practice: The social organization
of clinical learning Health An Interdisciplinary Journal for the Social Study of
Health, Illness and Medicine, 13(1), 107–125
Esteves, J., Bohórque, V & Souza, L A (2008) The impact of individual and social
attitude on business information technology knowledge sharing: A gender
perspective In 5th International conference on intellectual capital, knowledge
management & organisational learning (pp 174–180) New York Institute of
Technology New York, USA, 9–10 October.
Fang, Y H., & Chiu, C M (2006) In justice we trust: Exploring knowledge-sharing
continuance interactions in virtual communities of practice Computers in
Human Behaviour, 26(2), 235–246
Fontaine, M A., & Millen, D R (2004) Understanding the benefits and impact of
communities of practice In P Hildreth & C Kimble (Eds.), Knowledge networks:
Innovation through communities of practice (pp 1–14) Pennsylvania: The Idea
Group Inc .
Fung-Kee, M., Guonbanva, M B B S., Sequeira, E., Abdulla, A., Cook, R., Crossley, C.,
et al (2008) Development of communities of practice to facilitate quality
improvement initiatives in surgical oncology Quality Management in Health
Care, 17(2), 174–185
Gabbay, J., & Le May, A (2009) Practice may perfect: Discovering the roles of
community of general practice In A Le May (Ed.), Communities of practice in
health and social care (pp 49–65) West Sussex: Wiley-Backwell
Grajales, F J., Sheps, S., Ho, K., Novak-Lauscher, H., & Eysenhbach, G (2014) Social
media: A review and tutorial of applications in medicine and health care.
Journal of Medical Internet Research, 16(2), e13
Gustafsson, A M., Johnson, D., & Ross, I (2005) The effects of customer satisfaction,
relationship commitment dimensions and triggers on customer retention.
Journal of Marketing, 69(3), 210–218
Hsiu-Fen, L (2008) Antecedents of virtual community satisfaction and loyalty: An
empirical test of competing theories Cyberpsicology & Behaviour, 11(2),
138–144
Ikioda, F., Kendall, S., Brooks, F., de Liddo, A., & Shum, S B (2013) Factors that
influence healthcare professional’s online interaction in a virtual community of
practice Social Networking, 2, 174–184
Jennett, P A., Hall, A., Hailey, D., Ohinmaa, A., et al (2003) The socio-economic
impact of telehealth: A systematic review Journal of Telemedicine and Telecare,
9, 311–320
Jiwa, M., Deas, K., Ross, J., Shaw, T., Wilcox, H., & Spilsbury, K (2009) An Inclusive
approach to raising standards in general practice: Working with a community
of practice in Western Australia BM Medical Research Methodology,
9(13), 1–13
Kelly, K (2010) Women’s leadership in the development of nursing In Gender and
women’s leadership: A reference handbook Thousand Oaks, CA: SAGE
Kim, H H., & Seo, H J (2014) TWITTER initiative: Design of a social networking
service based tailored application for diabetes self-management Healthcare
Informatics Research, 20(3), 226 Health
Knoben, J., & Oerlemans, L A G (2006) Proximity and inter-organizational
collaboration: A literature review International Journal Management Review,
8(2), 71–89
Lamber, E., & Holmboe, E (2005) The relationship between specialty choice and
gender of U.S medical students, 1990–2003 Academic Medicine, 80(9),
797–802
Larkins, S L., Spillman, M., Parison, J., Hays, R B., Vanlint, J., & Veitch, C (2004) Isolation flexibility and change in vocational training for general practice: Personal and educational problems experienced by general practice registrars
in Australian Family Practice, 21(5), 559–566
Le May, A (2009) Introducing communities of practice In A Le May (Ed.), Communities of practice in health and social care (pp 3–16) Wiley-Blackwell
Lesser, E., & Storck, J (2001) Communities of practice and organizational performance IBM System Journal, 40, 831–841
Long, J C., Cunningham, F C., Carswell, P., & Braithwaite, J (2014) Patters of collaboration in complex networks: The example of translational research network BMC Health Services Research, 14, 225–235
Massingham, P R., & Massingham, R K (2014) Does knowledge management produce practical outcomes? Journal of Knowledge Management, 18(2), 221–254
Milne, J K., & Lalonde, A B (2007) Patient safety in women’s health-care: Professional collages can make a difference Best Practice and Research in Clinical Obstetrics and Gynaecology, 21(4), 565–579
Nagelkerke, N J D (1991) A note on the general definition of the coefficient of determination Biometrika, 78(3), 691–692
Nie, H (2012) Harmonious management pattern of knowledge management Management Science and Engineering, 6(4), 42–46
Oliffe, J L., & Greaves, L (2011) Designing and conducting gender, sex and health research Singapore: Sage Publications Asia-Pacific Pte Ltd .
Palmas, W., Shea, S., Starren, J., et al (2010) Medicare payments, healthcare service use, and telemedicine implementation costs in a randomized trial comparing telemedicine case management with usual care in medically underserved participants with diabetes mellitus (IDEATel) Journal of the American Medical Informatics Association, 17, 196–202
Parboosingh, J T (2002) Physician communities of practice: Where learning and practice are inseparable Journal of Continuing Education in the Health Professions,
22, 230–236
Pastor-Gosalbez, M I., Belzunegui-Eraso, A., & Ponton-Merino, P (2012) Mujeres en sanidad: Entre la igualdad y la desigualdad Cuadernos de Relaciones Laborales, 30(2), 497–518
Paype, P., Mertens, M., Deveugele, M., Stes, A., Van den Eynden, B., & Wens, A (2014) ‘I beg your pardon?’ Nurses’ experiences in facilitating doctors’ learning process – An interview study Patient Education and Counseling http:// dx.doi.org/10.1016/j.pec.2014.06.004
Powers, T., & Dawn, V (2009) Response quality in consumer satisfaction research Journal of Consumer Marketing, 26(4), 232–251
Ramalho, A M., Paulos, A., & Mesquita, A (2010) Virtual communities of practice: Investigating motivations and constraints in the processes of knowledge creation and transfer Electronic Journal of Knowledge Management, 8(1), 11–20
Ranmuthugala, G., Plumb, J J., Cunningham, F C., Georgiou, A., Westbrook, J I., & Braithwaite, J (2011) How and why are communities of practice established in the health sector?: A systematic review of the literature BMC Health Service Research, 11, 273–289
Riahinezhad, L., Samavatian, E., Yousefi, A., Hashemi, M., & Aghaei, M (2012) An investigation concerning the correlation between user satisfaction and ICT’s development in social networks International Journal of Scientific and Research Publications, 2(8), 1–5
Rolls, K., Kowal, D., Elliott, D., & Burrell, A R (2008) Building a statewide knowledge network for clinicians in intensive care units: Knowledge brokering and the NSW intensive care coordination and monitoring unit (ICCMU) Australian Critical Care, 21(1), 29–37
Rouibah, K., & Hamdy, H (2009) Factors affecting information communication technologies usage and satisfaction: Perspective from instant messaging in Kuwait Global Information Management, 17(2), 1–29
Ryan, D., Puri, M., & Liu, B A (2013) Comparing patient and provider perceptions of home- and community-based services: Social network analysis as a service integration metric Home Health Care Services Quarterly, 32(2), 92–105
Schenkel, A., & Teigland, R (2008) Improved organizational performance through communities of practice Journal of Knowledge Management, 12(1), 106–118
Sun, Y., Fang, Y., & Lim, K H (2014) Understanding knowledge contributors’ satisfaction in transactional virtual communities: A cost-benefit trade-off perspective Information & Management, 51, 441–450
Swan, J., Scarbrough, H., & Robertson, M (2002) The construction of communities of practice in the management of innovation Management Learning, 33(4), 477–496
Torkzadeh, G., & Dwyer, D J (1994) A path analytic study of determinants of information system usage OMEGA International Journal of Management Science, 22(4), 339–348
Tsuya, A., Sugawara, Y., Tanaka, A., & Narimatsu, H (2014) Do cancer patients tweet? Examining the twitter use of cancer patients in Japan Journal of Medical Internet Research, 16(5), e137
Vázquez-Bronfman, S (2011) Comunidades de práctica Educar, 47(1), 57–68
Venkatesh, V., & Morris, M G (2000) Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior MS Quartely, 24(1), 114–139
Weick, K E., & Westley, F (1996) Organizational learning: Affirming an oxymoron.
In S R Clegg, C Hardy, & W R Nord (Eds.), Handbook of organization studies (pp 440–458) London: Sage
Wenger, E (1998) Communities of practice: Learning, meaning, and identity Cambridge University Press
Wenger E (2009) Learning capability in social systems EQUAL final report.