Abstract and Figures

This study seeks to understand the role of the Internet in quality of life (QoL). Specifically, it examines the question of whether Internet communication serves, like face-to-face interactions, to enhance quality of life. It is hypothesized that the use of the Internet for interpersonal communication can improve quality of life among Internet users, just like face-to-face communication in everyday life. Sample survey data were collected in four Chinese cities, namely Hong Kong, Taipei, Beijing, and Wuhan, to serve as replicates to test the hypothesis. The Satisfaction with Life Scale (SWLS) of Diener (1984) was used to measure quality of life in the four cities. It was found that contrary to our expectation, Internet communication cannot predict quality of life while face-to-face communication with friends and family members can. The result was the same across the four Chinese cities. Possible reasons for this finding are examined and discussed. KeywordsQuality of life–Internet communication–Interpersonal relationship–Satisfaction with life–Social support–Social interactions
Content may be subject to copyright.
Internet Communication Versus Face-to-face
Interaction in Quality of Life
Paul S. N. Lee
Louis Leung
Venhwei Lo
Chengyu Xiong
Tingjun Wu
Accepted: 29 December 2009 / Published online: 31 October 2010
Ó Springer Science+Business Media B.V. 2010
Abstract This study seeks to understand the role of the Internet in quality of life (QoL).
Specifically, it examines the question of whether Internet communication serves, like face-
to-face interactions, to enhance quality of life. It is hypothesized that the use of the Internet
for interpersonal communication can improve quality of life among Internet users, just like
face-to-face communication in everyday life. Sample survey data were collected in four
Chinese cities, namely Hong Kong, Taipei, Beijing, and Wuhan, to serve as replicates to
test the hypothesis. The Satisfaction with Life Scale (SWLS) of Diener (1984) was used to
measure quality of life in the four cities. It was found that contrary to our expectation,
Internet communication cannot predict quality of life while face-to-face communication
with friends and family members can. The result was the same across the four Chinese
cities. Possible reasons for this finding are examined and discussed.
Keywords Quality of life Internet communication Interpersonal relationship
Satisfaction with life Social support Social interactions
1 Introduction
Communication is crucial to people’s well-being. ‘To communicate is to be human’ is a
for communication students. Humans, like other organisms, cannot survive without
interacting with their environment. Getting information from outside is crucial to one’s
existence and growth. Society is a sum of relationships which are formed with the aid of
communication. Our relationships at home, work, and play affect our state of well-being.
P. S. N. Lee (&) L. Leung V. Lo
School of Journalism and Communication, The Chinese University of Hong Kong, Shatin, Hong Kong
e-mail: PLee@cuhk.edu.hk
C. Xiong
School of Communication, Tsinghua University, Beijing, China
T. Wu
School of Journalism and Communication, Huazhong University of Science & Technology,
Wuhan, China
Soc Indic Res (2011) 100:375–389
DOI 10.1007/s11205-010-9618-3
Poor relationships are a source of pain while amiable relationships are a source of joy.
Wellman and Wortley (1990) found that strong social ties usually lead to better social
outcomes than weak ties. Contacts with neighbors, friends, and family, and participation in
social groups, have been found to improve people’s level of social support, fulfillment of
their own relationships, making sense of life, self-esteem, commitment to communities,
and psychological and physical well-being (Cohen and Wills 1985; Diener et al. 1999;
Putnam 1995, 2000; Thoits 1983; Williams et al. 1981).
2 Internet for Interpersonal Communication
With advanced information and communication technologies (ICTs), especially the
Internet, many see great potential in the use of mediated communication in broadening
people’s social experiences and involvement which will further strengthen social ties. As
the Internet allows people to communicate with family members, friends, coworkers, and
strangers in distant places, across cultures and without time constraints, it can help to
strengthen people’s social relationships and form new relationships (Parks and Roberts
1998). A study in 2006 showed that nine in ten American teens (aged 12–17) were wired,
and 89% of them used the Internet to send or read email while 75% sent or received instant
messages. However, face-to-face time still surpassed screen time for teens. The average
youth aged 12–17 reported spending 10.3 h a week with friends doing social activities
outside of school and about 7.8 h talking with friends via technology such as telephone,
email, instant messaging (IM) or text messaging (Lenhart et al. 2007).
Some studies have shown that social disengagement is associated with poor quality of
life and diminished physical and psychological health. When people have more social
involvement, they are happier and healthier, both physically and mentally (Cohen and
Wills 1985; Gove and Geerken 1977; Putnam 1995). Putnam (2000) points out that
American social capital declined from the mid-1960s to the 1990s but, at the same time,
many forms of Internet services, including instant messaging, chat rooms, multiuser games,
and auctions, serve to build ‘virtual social capital’ for Internet users. With stronger
relationships and social support, one’s psychological well-being and perceived quality of
life can be expected to improve.
On the basis of this expectation, Kraut et al. (1998) conducted a study to examine the
social and psychological impact of the Internet on a sample in 1995–96 during their first
1–2 years online. They used longitudinal data to examine the effects of the Internet on
social involvement and psychological well-being. Quite unexpectedly, they found that
greater use of the Internet was associated with declines in participants’ communication
with family members in the household, declines in the size of their social circle, and
increases in depression and loneliness.
The authors offered two explanations for their findings. The first is time displacement
and the second is the displacement of strong ties by the use of the Internet. The first
explanation conceives that the time that people devote to using the Internet might sub-
stitute for time previously spent engaging in social activities. The Internet is similar to
other passive entertainment activities such as watching TV or listening to music, which
could lead to social withdrawal and a decline in psychological well-being. However, Kraut
and his colleagues found that interpersonal communication was the dominant use of the
Internet among the sample studied. Internet use does not seem to displace people’s
engagement in interaction with others.
376 P. S. N. Lee et al.
They turned to the displacement of strong ties for an explanation for their findings. They
considered that by using the Internet, people were substituting poorer quality social rela-
tionships for better relationships, i.e., substituting weak ties for strong ones (Granovetter
1973; Krackhardt 1994). Many of the online relationships, especially the new ones, were
found to be weak ties rather than stronger ties. Online friendships were likely to be more
limited than friendships supported by physical proximity. They reasoned that online friends
were not embedded in the same day-to-day environment, and were less likely to understand
the context for conversation, making discussion more difficult (Clark 1996). Moreover,
online groups were usually devoted to specific topics of interest, narrowing the scope of
discussion and support. Support groups for real life problems were relatively much fewer
online. In other words, the authors considered that the ‘‘quality’ and ‘‘support’’ of Internet
communication were inadequate compared with offline interpersonal communication to
enhance psychological well-being.
A 3-year follow-up of 208 respondents of their study in 1998, interestingly showed that
negative effects dissipated (Kraut et al. 2002). They found that depressive symptoms
significantly increased with Internet use during the first period, but significantly declined
with Internet use during the second period. They also reported a second longitudinal study
in 1998–99 of 406 new computer and television purchasers. This sample generally expe-
rienced positive effects of using the Internet on communication, social involvement, and
well-being. However, using the Internet predicted better outcomes for extroverts and those
with more social support, but worse outcomes for introverts and those with less support.
The authors offered three explanations for the differential effects of Internet commu-
nication in the two periods and the two studies: maturation of participants between the
early and late phases of the study, differences in samples between the two studies, and
changes in the Internet itself. Among the three explanations, they considered a change of
the Internet as the most parsimonious explanation. They argued that from 1995 to 1998, the
number of Americans with access to the Internet at home more than quadrupled. As a
result, many participants’ close family members and friends were likely to have obtained
Internet access. The ease with which people could communicate with their strong ties
increased with the transformation of the Internet into a ‘hospitable’ place (Kraut et al.
In a study done in 2004, Boase and his colleagues (2006) found that even with the
flourishing of the Internet, people still commonly communicated with their social ties in
traditional ways, in addition to the use of the Internet for social communication. They
found that in-person encounters were most widely used, followed by landline phone, cell
phone, email, and IM communication. Far from being a medium that connects weaker ties
in superficial ways, email was used more for maintaining core rather than significant ties.
Core ties are more often relied upon for seeking help than significant ties. But significant
ties are composed of people more than acquaintances and can, at times, become important
players in help-seeking. Boase and his colleagues (2006) found that people not only
socialized online, but they incorporated the Internet into seeking information, exchanging
advice, and making decisions. Americans may now have only one or two extremely close
relationships, but dozens of core and significant ties in the ‘networked’ community. Four
years later in 2008, a similar study on social isolation and new technology found that
in-person contact remained the dominant means of communication with core members;
emails, instant messaging, and social networking websites supplemented this dominant
mode of communication (Hampton et al. 2009).
In another study on the role of the Internet in families, it was found that 33% of Internet
users said that the Internet had improved their connections to friends ‘‘a lot’’, and 23% said
Internet Communication Vs. Face-to-face 377
it had increased the quality of their communication with family members by a similar
amount. Young people in particular took advantage of the social side of the Internet.
Nearly half (49%) of the 18–29 year olds said that the Internet had improved their con-
nections to friends a lot. On the other hand, 19% of employed Internet users said that the
Internet had increased the amount of time they spent working in home (Wellman et al.
3 Use of the Internet for Interpersonal Communication and Quality of Life
The present study seeks to understand the role of Internet communication in quality of life.
Specifically, it examines the question of whether Internet communication can replace face-
to-face interaction in enhancing quality of life. It is hypothesized that ‘the use of the
Internet for interpersonal communication can improve quality of life among Internet users,
just like face-to-face communication.’
The hypothesis is diagrammatically presented in Fig. 1.
Sample survey data were collected in four Chinese cities, namely Hong Kong, Taipei,
Beijing and Wuhan, to serve as replicates to test the hypothesis. These four cities were
chosen for three reasons. First, they are Chinese societies which differ from American
society with regard to culture. These samples are good for a test of the generalizability of
theories about Internet communication in different cultural settings. Second, Hong Kong
and Taipei are more economically advanced than Beijing and Wuhan. A comparison of the
differences in results can shed light on the impact of stages of economic development on
the role of the Internet. Third, when the study was conducted in 2002–03, all four societies
had quite a good penetration of the Internet and computers. The survey showed that more
than 60% of residents in all four cities already had computers, and half or more of them had
used the Internet at the time that the study was conducted (see Table 1).
Previous studies have shown that Internet users tend to communicate with people they
have already known rather than with strangers. For example, a study (Leung 2001) on the use
of ICQ showed that the majority of users reported that they chatted with classmates (41.9%)
most often, followed by ordinary friends (34.1%), boy/girlfriends and family members,
cyber friends, and anonymous contacts. A study on Internet ties (Boase et al. 2006) also
Use of the Internet
For +
Interpersonal Communication
Quality of
Face-to-face +
Fig. 1 Hypothesized relationship between use of internet for interpersonal communication, face-to-face
communication, and quality of life
378 P. S. N. Lee et al.
found that the relationships maintained through online communication are only rarely with
an entirely new set of individuals. Instead, Internet users usually communicate with the same
set of friends and family members. With the growth of the Internet, more strong ties will be
present online. The four Chinese cities, with more than 60% of Internet penetration at the
time they were studied, should have had a reasonably good number of family members and
friends as strong ties with whom Internet users could communicate online. It avoids the
problem of the lack of strong ties in the initial stage of Internet penetration as in Kraut et al.’s
study in 1995–96. After controlling the Internet penetration factor, we should expect to see a
positive impact of using Internet communication on people’s psychological well-being and
perceived quality of life, like the findings of Kraut’s study in 1998 (Kraut et al. 2000).
The four Chinese cities under study, namely Hong Kong, Taipei, Beijing, and Wuhan,
vary not only in size, but also in levels of development. Hong Kong has a population of
approximately 7 million, and the average monthly per capita income in 2006 was
US$1,344 (RMB$10,713). Taipei has a population of 2.6 million and the average monthly
income per capita was US$1,099 (RMB$8,759) in 2006. Beijing has a population of
approximately 16 million. Its size fluctuates daily due to the out- and influx of people to
and from various parts of China and the world. In 2006, the average monthly per capita
income of Beijing’s residents was US$178 (RMB$1,419). Wuhan, a city on the Yangtze
River in Central China, has a population of 8.9 million. Its monthly per capita income in
2006 was US$113 (RMB$904) (Ni 2007, pp. 682–685,687; Hong Kong Government 2008;
Department of Budget, Accounting and Statistics 2008; Beijing City Administration Portal
2009; Wuhan Statistics Bureau 2008). In terms of economic development, Taiwan and
Hong Kong are close, while Beijing and Wuhan trail behind.
4 Methodology
4.1 Sample and Sampling Procedure
In 2002–03, the investigators of the four cities conducted household surveys with proba-
bility samples to examine the uses of ICTs in the four cities, and the opinions of the
residents about a series of questions, including quality of life, social support, uses of the
Internet, displacement of media, leisure activities, etc.. In the present study, the authors
focus on the role of Internet communication vis-a
-vis face-to-face communication in
quality of life in the four cities.
In all four places, respondents aged 15 or above were sampled. In each household, the
person who most recently had his or her birthday was requested for a face-to-face inter-
view. The questionnaires issued in all four cities were standardized with some modification
based on the local situation. For example, Taipei, Beijing, and Wuhan used very similar
categories of education which include ‘No Education, Primary, Junior High, Senior High,
Technical, and Tertiary or Above’’. Hong Kong, however, used the categories of
Table 1 % Ownership of computer & use of internet in 4 Chinese cities, 2002–03 (N)
Hong Kong Taipei Beijing Wuhan
Computer ownership 75% (524) 87% (456) 67% (657) 62% (682)
Internet subscription 66% (461) 78% (410) 51% (487) 50% (549)
Use of internet 56% (388) 63% (328) 54% (508) 71% (776)
Internet Communication Vs. Face-to-face 379
‘No Education, Primary, Form 1 to Form 3, Form 4 to Form 5, Matriculation, Tertiary or
Above’’. The reason for this is that Hong Kong inherited a British education system which
had only 5 years of secondary education and 2 years of a matriculation course before
entering university. Similar modifications were made by different cities in the categories of
Occupation, Income, and Housing Type to suit the local situation and usage. The ques-
tionnaires for the four cities were very similar, and efforts were made to allow for
comparison as far as possible. Pre-tests were done before interviewing the sampled
In Hong Kong, data were gathered from a probability sample of 1,192 respondents,
using a face-to-face structured interview during the months of October to December 2002.
Respondents were eligible members of randomly generated households from the records of
the Census and Statistics Department of Hong Kong. Interviewers were trained university
students. A total of 238 households were discarded when interviewers found the premises
to be vacant, used for non-residential purposes, found no one at home after three visits, or
encountered foreigners who were ineligible for this study. Of the 954 qualified households,
696 successfully completed the questionnaires, resulting in a 73% response rate.
In Taipei, the multistage cluster sampling method was used. With the aid of the Sta-
tistical Bureau of Taiwan’s Executive Council, the investigator randomly sampled 1,350
households from various areas of Taipei listed in the census record. Then 1,350 individuals
were randomly selected from the name list of people aged between 15 and 65 in these
households. The respondents were interviewed face-to-face between November 2002 and
January 2003. Sixty university students were hired to conduct the interviews. Due to
inaccuracies in the Statistical Bureau’s record, many of the sampled respondents could not
be located. Finally, the survey succeeded in interviewing 528 respondents at a response
rate of 39%.
In Beijing, multistage cluster sampling was also used. The investigator first randomly
selected four of the six districts of Beijing city, 1,500 households were then randomly
selected from the four districts. The survey in Beijing was conducted in January 2003. The
response rate was 67% with 998 respondents successfully interviewed.
In Wuhan, the same multistage cluster sampling method was used. In each of the seven
districts of Wuhan city, two small residential areas and one work unit (including schools)
were randomly selected. 176 people were then chosen from these sampled clusters, except
in Hongshan District where 194 people were selected. A total sample of 1,250 people was
obtained. The survey was conducted between December 2002 and January 2003. The
interviewers successfully completed 1,099 questionnaires with a response rate of 88%.
4.2 Measurement
In the study, we used the Satisfaction with Life Scale (SWLS) of Diener (1984) to measure
quality of life in the four cities. The 7-point scale ranges from ‘strongly disagree’ to
‘strongly agree’’. It contains five items which include: ‘In most ways my life is close to
my ideal’’, ‘‘The conditions of my life are excellent’’, ‘‘I am satisfied with my life’’, ‘So far
I have gotten the important things I want in life’’, and ‘‘If I could live my life over, I would
change almost nothing’’.
The measure for the use of the Internet for interpersonal communication is a 5-point
Likert-type scale composed of three items. They are ‘using the Internet to communicate
with people you didn’t know before’’, ‘‘using the Internet to communicate with people you
know’’, ‘‘using the Internet to disclose things deep in your heart’’. The answers range from
‘never’ to ‘very often’’. The Cronbach’s Alpha is 0.77. The measure for face-to-face
380 P. S. N. Lee et al.
communication is also a 5-point Likert-type scale containing the question ‘how often do
you talk to your family or friend for 10 min or more?’’ The answers range from ‘‘never’’ to
‘very often’’.
5 Results and Discussion
5.1 Sample Profile
Table 2 shows the demographic profile of the samples in the four cities. The Wuhan
sample contained a larger proportion of youngsters than the other three cities. Fifty-four
percent of the Wuhan respondents were aged 15–24, while the proportion of the same
group in the other three cities ranged from 20% to 25%. Gender distribution in the four
cities was quite even, with a few more female respondents in Hong Kong (53%) and Taipei
(54%). With regard to marital status, 65% of Wuhan respondents were single (including
divorced and widowed), while approximately 40% of respondents in the other three cities
were single. In terms of education, Wuhan respondents had the highest proportion of
university/tertiary graduates (48%) and Hong Kong had the lowest (24%) among the four
cities. Overall, the samples of the four cities over-represent, to a certain extent, the highly
educated and young people.
Table 2 Distribution of age,
gender, marital status, & educa-
tional levels in four cities
Hong Kong
Age group
15–24 (%) 20 21 25 54
25–34 (%) 22 18 25 19
35–44 (%) 30 22 21 13
45–54 (%) 20 24 16 10
55 ? (%) 9 15 12 4
Total N 696 528 937 1,099
M (%) 47 46 51 48
F (%) 53 54 49 52
Total N 696 528 969 1,094
Marital status
Single (%) 41 40 39 65
Total N 692 527 925 1,085
No schooling/kindergarten (%) 1 1 1 1
Primary (%) 13 10 3 1
Junior secondary (%) 20 7 15 8
Senior secondary (%) 33 27 26 23
Matriculation/technical (%) 9 21 24 20
Tertiary/university (%) 24 35 31 48
Total N 693 523 998 1,084
Internet Communication Vs. Face-to-face 381
5.2 The Use of the Internet for Interpersonal Communication
It is interesting to note that among different age groups, those aged 15–24 constitute the
highest proportion of people using the Internet for interpersonal communication. Of the
28.5% respondents who most often or often use the Internet for interpersonal communi-
cation, 19.1% belong to the 15–24 age group (Table 3). Single and highly educated people
also use online communication much more often than married and lower educated people.
Among the people (28.4%) who very often or often use the Internet for interpersonal
communication, 23.7% are single, and 16.6% have received tertiary/university education.
Gender, however, does not make much difference in the frequency of Internet use for
interpersonal communication; 15.0% of male and 13.4% of female respondents most often
or often engage in online communication (Table 3).
Table 4 shows that use of the Internet for interpersonal communication in the four
Chinese cities is quite common. In all four cities, more than half of Internet users some-
times or often/very often use the Internet for communicating with people. Wuhan (76%)
and Beijing (67%) tend to have more people using the Internet for this purpose than Hong
Kong (52%) and Taipei (51%) (Table 4). As regards face-to-face communication, over
80% of people in the four cities sometimes or often/very often engage in this mode of
communication. Hong Kong and Taipei even have more than 90% of people at least
Table 3 Demographic groups
communicating online most
often/often (aggregate sample of
four cities)
Demographic groups % n
Age group (total N = 1,436)
10–14 0.1 2
15–24 19.1 274
25–34 6.6 96
35–44 1.4 20
45–54 1.1 15
55? 0.2 3
Sub-total 28.5 410
Gender (total N = 1,445)
M 15.0 217
F 13.4 195
Sub-total 28.4 412
Marital status (total N = 1,422)
Single (including divorced/widowed) 23.7 337
Married 4.7 66
Sub-total 28.4 403
Education (total N = 1,431)
No schooling/kindergarten 0 1
Primary 0 0
Junior secondary 1.3 19
Senior secondary 6.1 87
Matriculation/technical 4.4 63
Tertiary/university 16.6 237
Sub-total 28.4 407
382 P. S. N. Lee et al.
sometimes engage in face-to-face interaction with family members or friends for 10 min or
5.3 Insignificant or Negative Impact of Online Communication on Quality of Life
Contrary to our expectation, Table 5 indicates that Internet use for interpersonal com-
munication cannot predict people’s quality of life, while face-to-face interaction with
friends and family members can. The result was the same across the four Chinese cities.
In a regression analysis of the aggregate data of all four cities, we found that the use of
the Internet for interpersonal communication has a negative impact on people’s quality of
life. The b was -.40 significant at .001 level. A further analysis of each of the four cities
shows the same negative effect for Hong Kong and an insignificant effect for the other
three cities. The use of the Internet for interpersonal communication has a negative impact
on Hong Kong people’s quality of life with b of -.56 which is significant at .001 level. The
betas in the analysis of Taipei, Beijing, and Wuhan are insignificant but all show negative
directions (see Table 5).
On the other hand, the frequency of talking to family or friends face-to-face for 10 min
or more has a positive impact on quality of life. Regression analyses on aggregate data of
four cities, or data for individual cities all show positive effects with significance at the
level of .001 or .01 (Table 5).
Based on these results, we can conclude that the use of the Internet for interpersonal
communication cannot replace face-to-face communication in improving quality of life.
The hypothesis is not supported.
An obvious explanation is that online communication is different from offline face-to-
face communication. Kraut et al.’s explanation of ‘quality’ difference, especially the
scarcity of strong ties in Internet communication, may be invoked to account for the
negative effect of online interpersonal communication on one’s perceived quality of life.
As communication is not deep, relationships formed or maintained on the Internet will not
be strong. Hence, Internet communication cannot play a positive role in improving quality
of life among people.
However, as previously mentioned, the four Chinese cities under study had relatively
high penetration of the Internet at the time of study in 2002–03 and there should be a
reasonable number of strong ties on the Internet. A small number of strong ties may not be
a primary reason for the negative effect of Internet communication on the psychological
well-being of these four Chinese societies. In addition, when we ran a regression of the
Table 4 Use of internet for interpersonal communication & frequency of talking face-to-face with family
members/friends for 10 min or more in four Chinese cities (N)
Hong Kong Taipei Beijing Wuhan
Sometimes Often/v.
Use of
internet for
Internet Communication Vs. Face-to-face 383
item ‘using the Internet to disclose things deep in your heart’’ on quality of life, we found
that the impact was still significantly negative (b =-.25, SE = .08, significant at .001
level). People who often disclose things deep in their heart on the Internet tend to expe-
rience low quality of life. In other words, the lack of ‘depth’ of communication or strong
ties on the Internet may not be a reason for the negative effect of online communication on
quality of life either. The negative finding shows that despite relatively high penetration of
the Internet and the presence of strong ties, the use of the Internet for interpersonal
communication cannot increase people’s psychological well-being in the four Chinese
The adverse effect of online interpersonal communication on quality of life may be due
to factors other than lacking strong ties or depth of communication on the Internet.
It is possible that the use of the Internet for interpersonal communication is a result of
certain characteristics of the Internet users. For example, those who always use the Internet
for interpersonal communication may be a group of socially isolated or disadvantaged
people who have experienced isolation or exclusion in face-to-face interaction in everyday
life. If this is really the case, we should expect to see a negative correlation between the use
of the Internet for interpersonal communication and social interactions or social support.
The less social interaction or social support one has, the more likely one will engage in
online interpersonal communication.
In the data subsets of Wuhan and Hong Kong, the researchers had included questions
pertaining to social interactions and social support. We can, therefore, use the data to
investigate further if the frequent users of online communication are composed primarily
of socially isolated and disadvantaged people. The investigators of Beijing and Taipei did
not include questions about social interactions and social support in their survey because
these questions were not designed as core questions for the comparative study; investi-
gators of the four cities had the option of using or not using these questions. We combined
the relevant data of Wuhan and Hong Kong to form an index of ‘social interactions’ and
‘social support’’.
The index of ‘social interactions’ consists of four items: ‘you have social interactions
with others in leisure time’’, ‘your leisure helps you develop close relations with other
people’’, ‘‘your leisure helps you understand other people better’’, and ‘‘during leisure time,
you will keep company with others’’. The answers to these items are given on a 5-point
scale ranging from ‘almost no all the time’ to ‘almost yes all the time’’. The index of
social support is composed of five items. They are ‘you have someone who will listen to
Table 5 Regression of internet use for interpersonal communication & face-to-face communication on
quality of life
USE of internet for interpersonal
FREQUENCY talking face-to-face to
friends/relatives for 10 min or more
b SE b SE
Quality of life (Satisfaction with Life Scale)
All cities -.40*** .09 .77*** .07
Hong Kong -.56** .20 .76*** .13
Taipei -.13 .21 .41** .16
Beijing -.03 .21 .66*** .15
Wuhan -.03 .15 .56*** .11
** p \ .01, *** p \ .001
384 P. S. N. Lee et al.
you when needed’’, ‘you have someone with whom you can talk about your private life
and problems’’, ‘you have someone to comfort you when needed’’, ‘‘you have someone to
advise you when needed’’, and ‘you have someone to give you suggestions to solve
problems’’. The answers to these items are given on a 5-point scale ranging from ‘never’
to ‘‘all the time’’. The Cronbach’s Alpha for the social interaction index is 0.75 and that for
social support is 0.88.
A correlation test shows that the relationships between online interpersonal commu-
nication and ‘social interactions’ and ‘social support’ are positive instead of negative.
The more social interactions and support one has offline, the more likely one will use the
Internet for interpersonal communication. The socially isolated or disadvantaged are less
likely to engage in online interpersonal communication. For the Hong Kong data, the
Pearson r of online interpersonal communication and social interactions is 0.25 which is
statistically significant at 0.01 level. The relationship between online interpersonal com-
munication and social support is 0.17, which is also statistically significant at 0.01 level.
For the Wuhan data, the result is similar. The Pearson r of online interpersonal commu-
nication and social interactions is 0.21, significant at 0.01 level, while the correlation
between online communication and social support is 0.22, significant at 0.01 level
(Table 6).
These results show that socially isolated people or people having little social support do
not always engage in online interpersonal communication. On the contrary, people who
enjoy social interactions and social support offline are more likely to use the Internet for
interpersonal communication. This finding indicates that the negative impact of online
interpersonal communication on quality of life cannot be attributed to the Internet users
who are socially isolated or lacking social support because these people do not use the
Internet for interpersonal communication as often as those who have social interactions and
social support.
Another possible explanation for the negative impact of online interpersonal commu-
nication on quality of life can be sought from the nature of online communication vis-a
face-to-face communication.
According to Birdwhistell (1970), about 65 percent of the social meaning of a situation
in a two-person setting is conveyed nonverbally. A very large part of information in any
human communication is derived from nonverbal cues. Without sufficient support of
nonverbal cues, Internet communication cannot fully perform the function of face-to-face
communication. In face-to-face communication, the exchange of emotions occurs without
one’s awareness of it. These emotions, be they love, hatred, or anger, elicit a sense of
warmth and ‘‘human-ness’ which are conducive to deeper understanding and development
of relationships among the communicating partners. The Internet cannot convey the
Table 6 Correlations among use of internet for interpersonal communication, social interactions, social
support, & quality of life (Pearson r)
Hong Kong Wuhan
Use of internet for interpersonal communication 0.25** 0.17** 0.21** 0.22**
Quality of life 0.08** 0.33** 0.29** 0.14**
** p \ .01
Internet Communication Vs. Face-to-face 385
‘warmth’ of face-to-face communication. Maintaining good human relationships is
important to people’s lives; it is a form of social capital which can help or obstruct people’s
personal growth and well-being.
There is a set of ‘cue-filtered-out’ theories (Culnan and Markus 1987), which point to
the lack of nonverbal cues, emotional information, and reduced interactivity on the Internet
as reasons for the impersonality of online communication (Daft and Lengel 1984, 1986;
Rice 1984; Short et al. 1976; Siegel et al. 1986). Due to the inadequacy of nonverbal cues,
Internet communication is less socially oriented and personal than face-to-face commu-
nication. These theories explain well the less frequent use of online communication among
the socially isolated and disadvantaged, because online communication is less apt for
social interactions and the build-up of social support. The Internet cannot serve as a
substitute for face-to-face communication.
Face-to-face communication demands the effort and engagement of participants to
succeed and be maintained. The efforts made by participants indicate certain degrees of
respect and appreciation of the communicating partners. Internet communication, on the
other hand, can be interrupted at any moment or conducted with intermittent delays.
Internet users are not required to have immediate responses, and mind their facial or
nonverbal expressions when they are online. These differences between online and offline
interpersonal communication contribute to different types of social interactions and sup-
port, and subsequently perceptions of life quality.
Meanwhile, it should be noted that there is a positive relationship between quality of life
and social interactions as well as social support. For the Hong Kong data, the Pearson r
between social interactions and QoL is 0.08 which, albeit small, is significant at the 0.01
level. The Pearson r between social support and QoL is 0.33, which is quite high, and also
significant at the 0.01 level. The result in the Wuhan data is similar. The Pearson r between
social interactions and QoL is 0.29 while that between social support and QoL is 0.14. Both
are significant at 0.01 level (Table 6).
The negative impact of online interpersonal communication on quality of life may be
explained by the fact that people who enjoy social interactions and support offline, often
engage in online interpersonal communication for some reasons, such as supplementing
offline interactions or communicating with strangers. However, they find such online
communication less satisfying in terms of providing social interactions or support like that
which they have obtained offline. As a result, the online users have a low rating on the
impact of online interpersonal communication on quality of life.
6 Conclusion
In conclusion, this study shows that the use of the Internet for interpersonal communication
is not the same as offline face-to-face communication in enhancing quality of life. Online
communication has an adverse effect on people’s perceived life quality. The relative lack
of strong ties or in-depth quality in Internet communication cannot be a reason for the
negative effect of online communication on life quality because the four Chinese societies
already had high penetration of the Internet and subsequently a good presence of strong ties
when the study was done. Moreover, a test of the predictive relationship between ‘dis-
closing things deep in their heart on the Internet’ and quality of life still shows an adverse
effect. This indicates that the presence of ‘in-depth quality’ is not essential to improving
perceived quality of life.
386 P. S. N. Lee et al.
The authors propose that the absence of nonverbal cues, lack of warmth, and less
demand for engagement in Internet communication, which results in impersonality, shal-
low interactions, and difficulty in building social support, are reasons for the negative
contribution of online communication to perceived quality of life. A further analysis shows
that offline social interactions and support are positively related to perceived life quality. If
online communication can enhance social interactions and support, its impact on quality of
life should be positive, and people having less offline social interactions and support should
want to engage in online communication to compensate for their relative lack of offline
social interactions and support.
The data analysis, however, shows that this is not the case. The socially isolated and
disadvantaged are found to be less likely to use the Internet for interpersonal communi-
cation. In other words, the socially isolated and disadvantaged do not find online com-
munication useful for social interactions and the building up of social support. In a
nutshell, the negative impact of online communication on quality of life may be explained
by its relatively weak role in enhancing social interactions and social support due to its lack
of nonverbal cues, emotional information, and interactive rigor compared with face-to-face
Having said that, this does not mean that Internet communication cannot be used to
develop close relationships or social support. For example, Walther (1996) argues that
computer mediated communication can be interpersonal, just like face-to-face commu-
nication, when users have time to exchange information, build impressions, and compare
values. He further argues that computer-mediated communication is ‘hyperpersonal’
when users can create impressions and manage relationships more positively than they
might be able to conduct face-to-face communication, such as to selectively self-present
and edit, to construct and reciprocate representations of their partners without the
interference of environmental reality. However, what Walther describes are exceptions
rather than rules in common people’s use of the Internet for interpersonal communica-
tion. In general, under normal circumstances, people engage in online communication in
a sub-interpersonal, if not impersonal, manner. The finding of the negative role of online
communication on life quality in the present study primarily addresses the general use of
the Internet under normal circumstances. The inadequacy of the Internet in building up
social support and substituting the face-to-face interactions, which are rich with cues,
seems to be the main reason for the adverse impact of online communication on per-
ceived life quality.
As the finding of a negative impact of online communication on quality of life is
consistent across all four Chinese cities, we may conclude that level of social and eco-
nomic development does not have a significant impact on the use and role of new com-
munication technology in improving quality of life. It is likely that once a modern
technology has become affordable and accessible to the common people, the level of social
and economic development will no longer constitute an obstacle for the use of that
technology. After reaching certain level of penetration, modern technologies, such as
television and the Internet, may have a class-leveling effect on society. A digital divide
appears only when the technology is not accessible to some due to resource constraints
and/or technological illiteracy. In the case of the Internet, the cost for accessibility and
demand for technological literacy are reasonably low, particularly when it is widely
available in schools and public libraries. The widespread use of the Internet in the four
Chinese societies overcomes the constraints imposed by different levels of development,
without giving special advantages to the more developed Hong Kong and Taiwan, and
harming the less developed Beijing and Wuhan in the use of the Internet in improving life
Internet Communication Vs. Face-to-face 387
quality. All four Chinese cities exhibit the same adverse effect of online communication on
perceived quality of life.
This finding helps to highlight the importance of social interactions on a personal basis
in human societies. Even with more development in visual communication online, such as
MSN and Skype, non-mediated face-to-face communication and interpersonal touch will
remain important in developing long-term relationships and mutual support among people.
The present study contributes to alerting quality of life researchers, despite the many
wonders of modern technologies, to pay attention to the basic fabric of society—inter-
personal relationships—and examine people’s daily life interactions and social support
more closely.
This study has its limitations. It does not include psychological and social variables such
as personality, self-esteem, motivation, isolation, alienation, ties, and social capital, nor the
variables related to people’s daily life in work, study, and leisure. Because of this defi-
ciency, this study is limited in arriving at a more comprehensive understanding of the role
of Internet communication in a wide variety of people’s daily activities. It is proposed that
further studies should include these variables, and monitor closely the impact of instant
messaging technology on offline face-to-face interactions. These authors believe that
mediated communication, in whatever form, can only approximate to daily life interactions
which are unique in their own right. Internet communication is only one among many
modes of communication facilitating the development of human relationships which are
basic to the well-being of humans.
Acknowledgments Part of this research was supported by a grant from the Research Grants Council of
Hong Kong (RGC Ref: CUHK 4315/01H). The support from the Centre for Quality of Life at the Hong
Kong Institute of Asia-Pacific Studies, the Chinese University of Hong Kong is also gratefully
Beijing City Administration Portal. (2009). Beijing figures. Retrieved from www.beijing.gov.cn/rwbj/
Birdwhistell, R. (1970). Kinesics and context. Philadelphia: University of Pennsylvania Press.
Boase, J., Horrigan, J., Wellman, B., & Rainie, L. (2006). The strength of internet ties. Washington, DC:
Pew Internet & American Life Project. Retrieved from http://www.pewinternet.org/Reports/2006/
Clark, H. (1996). Using language. New York: Cambridge University Press.
Cohen, S., & Wills, T. (1985). Stress, social support, and the buffering hypothesis. Psychological Bulletin,
98, 310–357.
Culnan, M., & Markus, M. (1987). Information technologies. In F. Jablin, L. Putnam, K. Roberts, &
L. Porter (Eds.), Handbook of organizational communication: An interdisciplinary perspective
(pp. 420–443). Newbury Park, CA: Sage.
Daft, R., & Lengel, R. (1984). Information richness: A new approach to managerial behavior and organi-
zation design. In M. Staw & L. Cummings (Eds.), Research in organizational behavior (Vol. 6,
pp. 191–233). Greenwich, CT: JAI.
Daft, R., & Lengel, R. (1986). Organizational information requirements, media richness and structural
design. Management Science, 32, 554–571.
Department of Budget, Accounting & Statistics, Taipei Government. (2008). Significant statistical indi-
cators in recent years. (in Chinese). Retrieved from http://w2.dbas.taipei.gov.tw/news_weekly/
Diener, E. (1984). Subjective well-being. Psychological Bulletin, 95(3), 542–575.
Diener, E., Suh, E., Lucas, R., & Smith, H. (1999). Subjective well-being: Three decades of progress.
Psychological Bulletin, 125, 276–302.
388 P. S. N. Lee et al.
Gove, W., & Geerken, M. (1977). The effect of children and employment on the mental health of married
men and women. Social Forces, 56, 66–76.
Granovetter, M. (1973). The strength of weak ties. American Journal of Sociology, 73, 1361–1380.
Hampton, K, Sessions, L., Her, E., & Rainie, L. (2009). Social isolation and new technology. Washington,
DC: Pew Internet & American Life Project. Retrieved from http://www.pewinternet.org/Reports/2009/
Hong Kong Government. (2008). Hong Kong statistics yearbook (2008th ed.). Hong Kong: Government
Krackhardt, D. (1994). The strength of strong ties: The importance of Philos in organizations. In N. Nohria
& R. Eccles (Eds.), Networks and organizations: Structure, form, and action. Boston, MA: Harvard
Business School Press.
Kraut, R., Kiesler, S., Boneva, B., Cummings, J., Helgeson, V., & Crawford, A. (2002). Internet paradox
revisited. Journal of Social Issues, 58, 49–74.
Kraut, R., Mukhopadhyay, T., Szczypulia, J., Kiesler, S., & Scherlis, B. (2000). Information and commu-
nication: Alternative uses of the internet in households. Information Systems Research, 10, 287–303.
Kraut, R., Patterson, M., Lundmark, V., Kiesler, S., Mukhopadhyay, T., & Scherlis, W. (1998). Internet
paradox: A social technology that reduces social involvement and psychological well-being? American
Psychologist, 53, 1017–1032.
Lenhart, A., Madden, M., Smith, A., & Macgill, A. (2007). Teens and social media. Washington, DC: Pew
Internet & American Life Project. Retrieved from http://www.pewinternet.org/Reports/2007/Teens-
Leung, L. (2001). College student motives for chatting on ICQ. New Media & Society, 3(4), 483–500.
Ni, P. F. (2007). Report on the competitive power of Chinese cities. Beijing: Social Science Literature Press.
(in Chinese).
Parks, M., & Roberts, L. (1998). Making MOOsic: The development of personal relationships on line and a
comparison to their off-line counterparts. Journal of Social and Personal Relationships, 15, 517–537.
Putnam, R. (1995). Bowling alone: America’s declining social capital. Journal of Democracy, 6, 65–78.
Putnam, R. (2000). Bowling alone. New York: Simon & Schuster.
Rice, R. (1984). Mediated group communication. In R. Rice & Associates (Ed.), The new media:
Communication, research, and technology (pp. 129–156). Beverly Hills, CA: Sage.
Short, J., Williams, E., & Christie, B. (1976). The social psychology of telecommunication. London: Wiley.
Siegel, J., Dubrovsky, V., Kiesler, S., & McGuire, T. (1986). Group processes in computer-mediated
communication. Organizational Behavior and Human Decision Processes, 37, 157–187.
Thoits, P. (1983). Multiple identities and psychological well-being: A reformulation and test of the social
isolation hypothesis. American Sociological Review, 48, 174–187.
Walther, J. (1996). Computer-mediated communication: Impersonal, interpersonal, and hyperpersonal
interaction. Communication Research, 23, 3–43.
Wellman, B., Smith, A., Wells, A., & Kennedy, T. (2008). Networked families. Washington, DC: Pew
Internet & American Life Project. Retrieved from http://www.pewinternet.org/Reports/2008/
Wellman, B., & Wortley, S. (1990). Different strokes for different folks: Community ties and social support.
American Journal of Sociology, 96, 558–588.
Williams, A., Ware, J., & Donald, C. (1981). A model of mental health, life events, and social supports
applicable to general populations. Journal of Health and Social Behavior, 22, 324–333.
Wuhan Statistics Bureau. (2008). Wuhan statistics yearbook, 2008. (in Chinese). Retrieved from www.
Internet Communication Vs. Face-to-face 389
... Likewise, people get information from outside by interacting with their environment. Society itself is a sum of relationships formed by communication (Lee et al., 2011). Nonetheless, the internet development has changed the scope of society which is no longer related to physical interaction to a virtual society connected through cyberspace. ...
... Internet emerged as a place for exchanging information, where people tend to virtually trust other people on the other end of the screen without any physical interaction. The interactions through social media are considered to substitute for the poor quality of the social relationship, mainly due to its ability to create new relationships in no time (Lee et al., 2011) and maintain relationships that might otherwise fade (Kearns and Whitley, 2019). ...
... For instance, Kearns and Whitley (2019) asserted that the internet provides the opportunity for massive interactions but produces lower social interactions. Online friendships were likely to be more limited than those supported by physical proximity (Lee et al., 2011). Online friends were not embedded in the same day-today environment and were likely unable to fully comprehend the context of the conversation, making it difficult to understand the discussion within social media (Clark, 1996). ...
Full-text available
Purpose This present study aims to investigate the effect of electronic word of mouth (e-WoM) behavior in Muslim social media on building a halal brand image (HBI) and its influence on purchase intention (PI). Also, Muslims’ altruism (ALT) and moral obligation (MO) were hypothesized as motivators to engage in e-WoM behavior. Design/methodology/approach A survey involving 320 members of a Muslim halal forum was conducted. Further, structural equation modeling was used to assess the proposed hypotheses. Findings It is found that ALT and MO positively influence e-WoM behavior. Furthermore, E-WoM also significantly affects HBI and PI. Meanwhile, HBI has a positive effect on PI. Practical implications Indonesian halal marketers face difficulties developing a halal image as a critical differentiator, mainly due to the upsurging number of halal certifications and the consumer’s perception that all products available in the market are halal. This present study offers an alternative strategy for Indonesian marketers to strengthen the HBI through Muslim social media amidst the cluttering halal brands in the market. Social implications The development of HBI combined with social media interactions will accelerate the halal brand awareness and usage among society, especially in Indonesia, a Major Muslim country. Originality/value This present study provides empirical evidence that social media e-WoM, despite its lack of physical interaction and opportunity to scrutinize the halal features, effectively creates HBI and influences PI among Muslims.
... It has already been described in previous literature that the digital communication during the COVID-19 pandemic led to decreases in synchronous communication and increases in asynchronous communication, which make it harder for employees to acquire and share new information [43]. Especially for young people during their study or early professional life, losing a format of exchange and discussion is an aspect that has a negative impact on satisfaction with studies and work and, thus, on their quality of life [44]. Therefore, one must acknowledge the opportunities for digitalization which have also been mentioned by our study participants, such as easier access to training courses, but also must consider their boundaries in avoiding social isolation and overburdening. ...
Full-text available
Although previous studies have focused on the adverse effects of the COVID-19 pandemic on various professional groups (particularly in the health and nursing care sector), this study aims to close a research gap by assessing perspectives of students and young professionals in epidemiology and public health in Germany in terms of shifts in workload, work content, and related challenges caused by the pandemic. We conducted a cross-sectional survey between mid-February and mid-March 2022. Quantitative data were analyzed via standardized mean differences. Qualitative data based on answers to open-ended questions were analyzed via a qualitative content analysis. Overall, 172 individuals participated in this survey. Results indicate that students felt burdened the most by lack of exchange with other students and lecturers. Study participants employed in public health experienced changes in their employment because they had changes in their work content and administration, which was accompanied by a high burden due to the workload. Multiple demands that can have an impact on both acquired skills and mental health during the professional qualification phase were mentioned by the participants. Therefore, more in-depth analyses are needed to investigate the impact the pandemic will have on the (future) public health workforce in the long run.
... Since the third global industrial revolution in 1970s brought the popularity of computers and the Internet to the world, new economic forms based on computer technology and Internet communication technology began to appear [1]. The online trading platform represented by Amazon platform in the United States provides a good reference example for the development of global e-commerce [2]. ...
Full-text available
With the rapid development of information technology, Internet technology based on big data promotes the formation of digital economy. As a key factor of production in the information age, digital economy has attracted the attention of all countries in the world. In 2017, the CPC Central Committee clearly proposed to build a digital economy with data as the key element. Digital economy is increasingly becoming the mainstream of global economic development. China is in a critical period of economic transformation, and the world is also facing the unprecedented changes in a hundred years. Whether we can seize this mainstream development and push China’s economy to a new level is very important to the national economy. Firstly, this paper expounds the development history and significance of big data technology and digital economy, investigates the development status of digital economy in China, classifies digital economy based on big data ecology, and gives the evaluation principles and theoretical basis of digital economy. Finally, this paper explores the influence model of industrial structure on digital economy, combs the empirical analysis ideas of the influence model, and puts forward some relevant suggestions on the development status of digital economy in China. Based on the background of big data statistics, this paper uses structural equation to study the factors that affect the development of digital economy and gives the model empirical ideas, aiming at promoting the development of national digital economy.
... Inperson contact is still considered the main means of communication with core members. 26 The participants who were employed showed statistical significance during both MCO and CMCO periods. Due to urbanisation, a lot of Malaysian youths migrated from rural to urban areas for more opportunities, higher pay, and better education. ...
Introduction: The COVID-19 pandemic had caused Malaysia to introduce a lockdown approach for the first time that was due to an outbreak of infectious disease. This was bound to create certain problems as it disrupts Malaysians' daily routine and way of life. Materials and methods: A cross-sectional study to identify the problems faced by Malaysian Social Media Users during the Movement Control Order (MCO) and Conditional Movement Control Order (CMCO) was conducted. An online survey that assessed the knowledge, attitude, and practice of COVID-19 was shared via social media. Results: The response of the attitude module from the participants during MCO (n=2073) and CMCO (n=2720) were analysed. Chi-squared and Fisher's Exact Test showed that the male, unmarried, young (<40 years old), and employed participants were the most affected (p<0.05) when responding to a list of major problems faced during MCO/CMCO - 'Emotional difficulty being confined', 'Did not get paid due to missing work', 'Unable to communicate with family members who were not there', 'Unable to get food or water', 'Unable to get regular medical care or prescriptions', and 'There were no problems for me during MCO/CMCO'. Conclusion: The problems that were faced by these groups need to be addressed for better public health interventions and policies to win against the war on the ongoing COVID- 19 pandemic.
... Individuals' intimacy needs to be formed through the interactive process of their self-disclosure (Perlman and Fehr, 1987;Prager, 1995;Park et al., 2011). Since VC audiences' intimacy (i.e., individuals' personal and subjective sense of connection) could reduce their self-alienation, advance their well-being (Ko and Kuo, 2009;Lee et al., 2010), and eventually help build their trust and reciprocal relationships in topic-based VCs (Baumeister and Leary, 1995;Laurenceau et al., 1998), we can consider intimacy as individuals' perception of their close relationships with others in topic-based VCs. ...
Full-text available
Introduction: With the normalization of COVID-19 prevention and control, a large number of intergenerational audiences with different cognition preferences and value orientations have started to pour into non-acquaintance virtual communities (VCs) to address their social needs by disclosing their own thoughts, feelings and experiences toward certain topics. To avoid the negative impacts of self-disclosure, this study introduced the concept of social integration into cyber society among non-acquaintance VCs, such as the topic-based VCs. Our theoretical model considers both the psychological antecedents and consequences of VC audiences' social integration and our findings have implications for public online (and even offline) social life. Moreover, this research could play a guiding role in improving VC audiences' social integration status in future online learning and telecommuting scenarios. Method: To assess the theoretical model constructed in this manuscript, we conducted an online survey in two different topic-based VCs among Microblog and yielded 472 useable responses from intergenerational audiences, among which 28.81% were born before 1985, 26.67% were born from 1985 to 1995, and 48.52% were born after 1995. Our sample consisted of 208 individuals from Health Regimen VC and 264 individuals from Star Chasing VC, 200 (42.37%) were men and 272 (57.63%) were women. Results: Our structural equation model (SEM) indicated that individuals' self-disclosure in topic-based VCs might not directly guide them to acquire social integration. However, intimacy and cognitive communion derived from VC audiences' self-disclosure might not only enhance their social integration, but also improve their psychological well-being. In addition, VC audiences' social integration mediated the relationship between intimacy and psychological well-being, and the relationship between cognitive communion and psychological well-being. Moreover, VC audiences' intimacy was found to have a direct influence on their cognitive communion. Conclusion: In the context of topic-based VCs, audiences' self-disclosure could significantly foster their intimacy and cognitive communion with others, and both intimacy and cognitive communion are conductive to VC audiences' social integration. Thus, audiences in topic-based VCs who wish to improve their psychological well-being need to disclose themselves and build corresponding psychological foundations (i.e., intimacy and cognitive communion) to enhance their social integration. Meanwhile, topic-based VCs should pay attention to the cultivation of intimacy and cognitive communion among audiences while encouraging them to reveal themselves.
... Online conversations are generally brief and straightforward, often displaying an absence of non-verbal cues and physical proximity, which leads to miscommunications. They fail to convey the expression of complex ideas or deep feelings [69], and Page 5507 the warmth of face-to-face communication [70]. However, this statement is open to debate. ...
Conference Paper
In the digital-based economy, digitalisation, entrepreneurial networks, and business strategy are three important interdependent components of entrepreneurship process. Accurate, reliable, and timely information is also vital to effective decision-making of the entrepreneurs. Often, owing to limitations in their resources and capabilities, entrepreneurs rely on their entrepreneurial networks to satisfy their information need. The core objective of this paper is to examine the use of information in business strategy development and assess the role of entrepreneurial networks as information sources. The theoretical lens used in this narrative literature review is media richness theory. The findings of this paper show that entrepreneurial networks significantly influence entrepreneurial success and survival, and that access to accurate and timely information enhances business strategy development.
We consider application of the structural approximation method to research information flow in social networks. The notations of potential, interparticle flux and energy are considered in terms of social networks. The basic notations of society functioning related to the communication and information transfer processes are modeled by means of multidimensional potentials and the corresponding interactions arisen in networks. A graph associated to the network is considered in the high dimensional space \(\mathbb R^d\) when d is comparable with the number of vertices in graphs.KeywordsSocial networkStructural approximationMultidimensional potentialMathematics Subject Classification (2010)Primary 94C15; Secondary 00A7105C21
The aim of the present study was to examine the impact of Facebook usage on the quality of life of individuals with visual impairment while also investigating the impact of Facebook communication in comparison with face-to-face communication on quality of life. Ninety-two adult users of Facebook with visual impairment, of whom 46 lived in Greece and 46 lived abroad, participated in this study. Regarding Facebook usage, a questionnaire which investigated the frequency of various aspects of Facebook activity and Facebook communication as well as face-to-face communication was used in this study. Regarding quality of life, the Satisfaction with Life Scale, a single-item happiness scale, and the Beck Depression Inventory were employed to evaluate three different indicators of quality of life. Participants’ quality of life was relatively high. Findings showed that face-to-face communication with friends was a significant predictor of quality of life, while neither Facebook communication nor Facebook usage correlated with any of the indicators of quality of life investigated.
Full-text available
This research study was entitled “Efficacy of Katolikong Nagbabahay-Bahay (Catholic House to House Visitation): Traditional Dissemination of Information used by San Sebastian Parish, Science City of Munoz, Nueva Ecija”. The main objective of this study is to analyze the efficacy of traditional or face-to-face communication that is used by the Parish to disseminate information, and how the traditional communication strategy helps the church leaders to influence their parishioners. Moreover, the researcher performed a deductive analysis based on the narrative of the experience of the respondents from the program Katolikong Nagbabahay-Bahay. The researcher gathered data through online and phone call interviews. After the analysis, it shows that face-to-face communication has an impact on the respondents. It helped them know about their faith, and it encourages them to participate in different religious activities, the presence of the priests and other church leaders motivates them and makes them feel more special and that they still belong to the church community. Talking to them personally helps them retain knowledge and easily understand the teachings of the church. They also think that the program is still suitable for the new normal since it helps them to cope and encourages them to continue being active in their faith.
Adolescence is an important stage of social development. While adolescents are prominent adopters of social media, little is known about whether digital interactions can fulfil the social needs of this age group. Here, we focus on one component of social interaction: self-disclosure. In a systematic review, we investigate the role of self-disclosure in adolescent relationships and the differences between online and offline self-disclosure. The results suggest that self-disclosure is associated with higher relationship quality and well-being. Online self-disclosure appears to be less fulfilling and beneficial for relationship quality than face-to-face self-disclosure. However, certain populations appear to benefit more from online than offline self-disclosure - such as highly anxious adolescents and boys aged 12-13 years, who prefer to first self-disclose online before engaging in offline self-disclosure. This suggests that both online and offline self-disclosure can play a role in fulfilling adolescent social needs.
The literature on subjective well-being (SWB), including happiness, life satisfaction, and positive affect, is reviewed in three areas: measurement, causal factors, and theory. Psychometric data on single-item and multi-item subjective well-being scales are presented, and the measures are compared. Measuring various components of subjective well-being is discussed. In terms of causal influences, research findings on the demographic correlates of SWB are evaluated, as well as the findings on other influences such as health, social contact, activity, and personality. A number of theoretical approaches to happiness are presented and discussed: telic theories, associationistic models, activity theories, judgment approaches, and top-down versus bottom-up conceptions.
This research addresses measurement issues, derives a model of the effects of life events on mental health, and tests hypotheses regarding the role of social supports in modifying these effects over time. Analyses were based on a longitudinal study of persons (N = 2,234) sampled from a general population in Seattle, Washington, as part of Rand's Health Insurance Experiment. In addition to sociodemographic variables, measures of physical limitations, mental health, social supports, and stressful life events were fielded twice (one year apart), using previously validated measures. Data for a random half of the sample were analyzed to evaluate different approaches to defining and scoring life events and social supports and to fit a model of the main and interactive effects of these variables on mental health. The best-fitting model was then cross-validated, using the remaining half of the sample. Results support the following conclusions: (1) Social supports predict improvements in mental health over time, (2) life events and physical limitations predict a deterioration in mental health over time, (3) the negative effects of life events and physical limitations on mental health do not vary according to amount of social support, and (4) differences in measurement strategies for life events and social supports produce some variance in results, but not in conclusions about whether effects on mental health are additive or interactive.
Journal of Democracy 6.1 (1995) 65-78 As featured on National Public Radio, The New York Times, and in other major media, we offer this sold-out, much-discussed Journal of Democracy article by Robert Putnam, "Bowling Alone." You can also find information at DemocracyNet about the Journal of Democracy and its sponsor, the National Endowment for Democracy. Many students of the new democracies that have emerged over the past decade and a half have emphasized the importance of a strong and active civil society to the consolidation of democracy. Especially with regard to the postcommunist countries, scholars and democratic activists alike have lamented the absence or obliteration of traditions of independent civic engagement and a widespread tendency toward passive reliance on the state. To those concerned with the weakness of civil societies in the developing or postcommunist world, the advanced Western democracies and above all the United States have typically been taken as models to be emulated. There is striking evidence, however, that the vibrancy of American civil society has notably declined over the past several decades. Ever since the publication of Alexis de Tocqueville's Democracy in America, the United States has played a central role in systematic studies of the links between democracy and civil society. Although this is in part because trends in American life are often regarded as harbingers of social modernization, it is also because America has traditionally been considered unusually "civic" (a reputation that, as we shall later see, has not been entirely unjustified). When Tocqueville visited the United States in the 1830s, it was the Americans' propensity for civic association that most impressed him as the key to their unprecedented ability to make democracy work. "Americans of all ages, all stations in life, and all types of disposition," he observed, "are forever forming associations. There are not only commercial and industrial associations in which all take part, but others of a thousand different types -- religious, moral, serious, futile, very general and very limited, immensely large and very minute. . . . Nothing, in my view, deserves more attention than the intellectual and moral associations in America." Recently, American social scientists of a neo-Tocquevillean bent have unearthed a wide range of empirical evidence that the quality of public life and the performance of social institutions (and not only in America) are indeed powerfully influenced by norms and networks of civic engagement. Researchers in such fields as education, urban poverty, unemployment, the control of crime and drug abuse, and even health have discovered that successful outcomes are more likely in civically engaged communities. Similarly, research on the varying economic attainments of different ethnic groups in the United States has demonstrated the importance of social bonds within each group. These results are consistent with research in a wide range of settings that demonstrates the vital importance of social networks for job placement and many other economic outcomes. Meanwhile, a seemingly unrelated body of research on the sociology of economic development has also focused attention on the role of social networks. Some of this work is situated in the developing countries, and some of it elucidates the peculiarly successful "network capitalism" of East Asia. Even in less exotic Western economies, however, researchers have discovered highly efficient, highly flexible "industrial districts" based on networks of collaboration among workers and small entrepreneurs. Far from being paleoindustrial anachronisms, these dense interpersonal and interorganizational networks undergird ultramodern industries, from the high tech of Silicon Valley to the high fashion of Benetton. The norms and networks of civic engagement also powerfully affect the performance of representative government. That, at least, was the central conclusion of my own 20-year, quasi-experimental study of subnational governments in different regions of Italy. Although all these regional governments seemed identical on paper, their levels of effectiveness varied dramatically. Systematic inquiry showed that the quality of governance was determined by longstanding traditions of civic engagement (or its absence). Voter turnout, newspaper readership, membership in choral societies and football clubs -- these were the hallmarks of a successful region. In fact, historical analysis suggested that these networks of organized reciprocity and civic solidarity...