Volume 11
Number 2, 2001
BUILDING A SUSTAINABLE COMMUNITY NETWORK:
AN APPLICATION OF CRITICAL MASS THEORY*
Scott J. Patterson
San Francisco State University
Andrea L. Kavanaugh
Virginia Polytechnic Institute and State University
Abstract. This paper uses critical mass theory to explain how a community
network might achieve sustainability. Critical mass theory examines the processes
by which interactive communications systems, e.g. Internet-based community
networks, become sustainable. The present paper explores the characteristics,
motivations, and preferences of "pre-critical mass" adopters by
comparing a sample of 1505 individuals who joined the Blacksburg Electronic
Village (BEV) community network in the first year of operation with a sample
of 1344 individuals who joined in the second year (N=2553). Responses were
measured on many variables thought to be of importance in describing how critical
mass may be achieved: computer experience, knowledge of the innovation, media
use, and a variety of demographic variables. The results of MANOVA analyses
are consistent with those posited by critical mass theory about pre-critical
mass users of the community network. This research suggests that the presence
of a large group of high-resource, motivated early adopters are sufficient
for critical mass if they are supported by the designers of the communication
initiative. The results are discussed in terms of the implications of critical
mass theory for designers of community computer networks.
The flowering of the World-Wide-Web and the emergence of Internet-based
community networks since the early 1990s has generated much interest about the
kinds of persons who adopt these innovative technologies and services, and about
the optimal conditions under which these initiatives may become self-sustaining
and widely used. By 1996, about 35% of U.S. households used a personal computer,
and about 14% were connected to the Internet. During that same year in the rural,
university town of Blacksburg in southwest Virginia, 50% of households used
personal computers, and 44% of the population were directly connected to the
Internet at home, school or work. These dramatic increases resulted from a project
called the Blacksburg Electronic Village (BEV), a partnership between the Town
of Blacksburg, Virginia Polytechnic Institute & State University (also known
as Virginia Tech), and Bell Atlantic.
This paper seeks to discover if community computer networking
projects follow the pattern of adoption and growth hypothesized by the literature
on interactive communication technology (see especially Markus,
1987, 1990). The results of this study are important
for other community networking initiatives. If the Blacksburg Electronic Village
model helps to create a sustainable community network, other community networks
can build on the successes of the BEV. The essential question this paper poses
is who should system designers target as the pre-critical mass user
of an Internet-based community network?
Yet, other somewhat similar technologies failed in their attempts
at sustainability. Consider the failed attempts by telephone companies to create
a critical mass of adopters for video-telephones. Those video phone technologies
were not sustainable. The importance of sustainability is clear. Should a technology,
or technological system, fall short of sustainability, then early adopters of
the technology loose the resources they have invested and the technology ceases
to become part of their everyday lives.
Geographic communities throughout the world are developing local identities
and access points to the Internet. Projects such as the Telluride Info Zone,
Seattle Community Network, Capital Free Net and the Blacksburg Electronic Village
have developed both significant on-line identities and a means of facilitating
Internet access among the members of their communities. Given the substantial
amount of collective and individual resources invested, sustainability is essential.
Sustainability is especially vital for interactive communication systems where
early users of the system are rewarded for their risks only if long-term universal
access and use occur.
Community computer networks may be conceptualized as a public good. A public
good is some activity, event, or product that benefits not only the people involved
in the creation of the innovation, but other members of the community as well
(Rafaeli & LaRose, 1993). For example, a concerned
group of parents may invest time and money (resources) in the building of a
new swing-set in a local park. The parents (and their children) who invest in
this swing-set project benefit from their efforts. The public good nature of
the swing-set project is realized by people who don't spend resources in the
creation of the swing-set but still utilize the innovation after its completion
(free-riders - See Marwell & Oliver, 1993).
For a community network, the objective is enhanced local and
global multimedia communications. Community computer network organizers expect
that the addition of Internet services to the existing communication milieu
would increase the quality of life and the level of community involvement (Kavanaugh
& Patterson, in press). These changes would be spurred by access to
information and individuals, locally and globally and enhanced delivery of education,
government, commercial and other information services.
In order for the pro-social effects of a public good to occur, the system must
reach critical mass or become sustainable. Critical mass represents a kind of
"tipping point or social threshold" in the diffusion process (Rogers,
1995), what Valente (1995, p. 79) calls "a system-level
measure of the minimum number of participants needed to sustain a diffusion
process." Markus (1990, p 103) defines critical
mass in a telecommunications context:
This definition of critical mass has two important implications. First is
that critical mass may be considered as a process of building sustainability
rather than as a static point in a diffusion process. Second is
that the sustainability
of interactive communication technologies depends upon persons
beyond the initial
adopters taking advantage of the public good. Indeed, Markus
further speculates
that critical mass for interactive communication systems is an all or nothing
phenomena:
For Markus, the system doesn't reach critical mass unless there is universal
diffusion of the technology through the user community (see also Rice,
Grant, Schmitz, and Torobin, 1990). Others argue that the presence of early
adopters may be sufficient for the existence of critical mass (Griliches,
1957; Valente, 1995). Whether or not the earliest
users represent a pre-critical mass or the entire critical mass necessary, early
users provide the necessary foundation from which the critical mass emerges.
Critical mass theory (Markus, 1987, p. 496) posits sustainability
hinges on the interactions among two key concepts: 1) the nature of the production
function and, 2) the diversity and availability of resources and interests invested
in the innovation.
The key to the diffusion of interactive communication systems like community
computer networks are their accelerating production functions (Marwell
and Oliver, 1993; Markus, 1987). An interactive
technology is of little to no value for the first adopter. What good is a telephone
if no one else has a telephone? The telephone owned by the first person becomes
valuable only if desirable others acquire telephones and connect
them to the network. Markus refers to this phenomena as an "accelerating
production function."
Technologies with accelerating production functions are characterized by relatively
large start-up costs and reciprocal interdependence. Large start-up costs exist
because the network must be built and support structures must be in place before
users can adopt the technology. Systems with accelerating production functions
rely on key players, or builders, to provide the initial resources (time, money,
expertise) necessary to build the system. Without these key players, technologies
with accelerating production functions can never attract their first adopters.
Once the first adopters begin to use the interactive system, reciprocal interdependence
occurs.
Reciprocal interdependence characterizes relationships such that early adopters
increasingly benefit as new people join the system. The system becomes exponentially
more valuable because of the increase in possible connections among users (Rice,
1997). Valente (1995) refers to this as an outcome
of the bandwagon effect. The bandwagon effect describes the degree to which
individual adoption (or discontinuance) decisions are influenced by their perceptions
of others. Thus, a community computer network typically anticipates that early
adopters of the system will spread the word about the utility of the system
and encourage members of their personal communication networks to join. As these
established partners become increasingly accessible on the system, the system
becomes more a part of the everyday lives of its users. It is this consequent
integration of a new technology into the everyday lives of its users that constitutes
a key to sustainability.
The other element in the application of critical mass theory to community
computer networks is the assessment of heterogeneity and availability of resources
in the community. Resources are conceptualized as being of one of four types:
Communication discipline resources, access resources, information resources,
and personal information seeking resources. Sustainability is likely in interactive
communication systems where the structure of the innovation and its initial
adopters conform to expectations about the nature and availability of these
four resources (see Markus, 1987 pp. 502-504).
Communication discipline refers to the willingness of individuals to communicate
to others via the community network. If the users of a system regularly log-in
or actively use the system, they can be said to exhibit high levels of communication
discipline. Communication discipline is important for interactive communication
systems because if enough people don't answer the phone or reply to e-mails,
the system fails. Discipline in this sense is not punitive but rather refers
to the ability and desire of people to use a technology for interaction with
others.
Access resources can be conceptualized as the general level of accessibility
of the system. Hudson (1984) describes four components
of system accessibility: physical distance from an access point, cost of access,
quality of service, and user knowledge and expectations. In critical mass terms,
the less the physical distance from a point of access, the lower the cost of
access, the higher the quality of service and the higher the user knowledge
and expectation, the greater the probability of achieving critical mass.
Markus's third resource category relates to the kinds of information available
via the communication network. The greater the diversity and "value"
of the information provided on the network, the greater the probability of the
system reaching critical mass. Information on community computer networks is
conceptualized both as the materials made available from computers connected
to the system as well as the other persons connected to the system.
Markus defines high resource individuals as individuals who are "sought
after" by other persons as communication partners. Just what characteristics
define a "sought after" person is not elaborated in critical mass
theory. However, the conjunction of the opinion leadership construct and diffusion
theory provides us with expectations about the attributes of individuals who
are early adopters of an innovation. In general, opinion leaders are persons
who are "sought after" communication partners (see Katz
and Lazarsfeld, 1964). Diffusion theory posits that early adopters of an
innovation are characterized by higher levels of education, social status, cosmopolitaness,
greater exposure to media channels, and knowledge of the innovation, than later
adopters and non-adopters (Rogers 1995). Early adopters
are also opinion leaders, who communicate their experiences with an innovation
to members of their social networks. This opinion leadership is highly influential
in the diffusion process (Valente, 1995).
The final resource category, one that also helps to determine the formation
of critical mass, relates to the information seeking characteristics of those
individuals who are connected to the system. Markus (1987)
suggests that the more users actively seek and use information, the greater
the probability that a system will achieve critical mass (see Patterson,
1996 for a detailed discussion).
The Blacksburg Electronic Village (BEV) is an experiment in the development
and deployment of an Internet-based community network. This community network
began offering Internet access and local information and services in 1993 to
Blacksburg and surrounding Montgomery County, Virginia. One of the original
purposes of this project was to build critical mass among users through extensive
local online content and computer-based communication.
As of 1998, within the town of Blacksburg (population 36,000) an estimated 80
percent of the residents are linked to the Internet at home, work, or school.
Kavanaugh, Cohill, and Patterson (2000; see also
Kavanaugh & Patterson, in press) present recent
data about the diffusion of the computer network and the Internet within the
community:
In addition to standard Internet services, BEV services include information
about local town and county government, social services, public education, libraries,
health care, and community organizations as well as local town and county government
web-based forums.
The most desirable outcome for the BEV is the creation of an interactive system
that all members of the community can use to facilitate the activities of their
daily lives. Detailed histories of the BEV project are available from other
sources (see Cohill & Kavanaugh, 2000) and serve to
document the cost considerations guiding the initial design and implementation
of the initiative. Working from the premise of an accelerating production function,
the value of the BEV should increase as more individuals join the system. Because
early adopters formed the critical mass of users necessary for the sustainability
of the BEV , it is critical to ask: Who were the early adopters of the Blacksburg
Electronic Village?
During the first year of BEV operation, 2294 persons acquired
accounts via one of the two BEV public registration sites. Of these persons,
1505 (65.6%) completed and returned the voluntary BEV background questionnaire.
In the second year of operation, an additional 1344 persons registered for a
BEV account and 1048 (78.0%) returned the background questionnaire.
The sample for this research consists of the 1505 questionnaires
returned at the end of year one (November 1, 1993 to October 31, 1994) and the
1048 questionnaires returned during year two (November 1, 1994 to October 31,
1995). This combined sample of 2553 questionnaires returned during the first
two years of BEV operation permits detailed comparison of first year and second
year registrants.
The survey instrument for year one was a brief paper and pencil inventory
consisting of 36 items designed to measure the resource attributes of early
adopters of the BEV. The second year instrument was altered to reflect the results
of the open-ended questions from the year-one survey and to reflect changes
in the services offered by the BEV. Details about the design and implementation
of the background questionnaire can be found in Patterson (2000),
Patterson & Kavanaugh (1995), and Patterson,
Bishop and Kavanaugh (1994). Copies of both instruments
and the complete data set are available via the BEV Research Site (http://www.bev.net/research/).
Generally, the results of the analyses indicate support for our
expectations about the characteristics of the pre-critical mass users of the
Blacksburg Electronic Village. Descriptive statistics for all variables are
provided in Table One. In the results presented below, evidence of any differences
over time among the variables was obtained via MANOVA conducted with time (1
or 2) as the independent variable. For significant multivariate models, follow-up
one-way repeated measures analysis of variance were conducted. Because of the
power inherent in the large sample size employed in this research, univariate
results were considered statistically significant if they obtained an alpha
level of .01 or less. In all cases, particular emphasis was placed on results
that represented at least modest absolute magnitudes in addition to statistical
significance.
Reciprocal interdependence.
Critical Mass theory suggests the social networks of early adopters of the
Blacksburg Electronic Village would spread the word about this innovation if
the BEV was to achieve sustainability. The background questionnaire allowed
some rough measurement of the role social networks play in the diffusion of
the BEV. A great number of first year registrants were affiliated with Virginia
Tech, a primary partner driving the growth of the BEV (see Table One). Since
BEV operates under an accelerating production function, persons affiliated with
one of the main builders of the BEV are more likely to be influenced to join
the innovation.
|
Table One
|
|
Means and Standard Deviations
|
|
Year 1 and Year 2
|
| |
Year 1
|
|
Year 2
|
|
| |
Mean
|
Standard Deviation
|
Mean
|
Standard Deviation
|
| Length Using Computer* |
3.27
|
1.20
|
3.18
|
1.32
|
| Computer Experience* |
3.19
|
0.77
|
3.08
|
0.77
|
| Computer Network Experience |
2.17
|
1.02
|
2.16
|
1.00
|
| Will the BEV Help with... |
|
|
|
|
|
teaching*
|
2.28
|
1.07
|
2.52
|
1.12
|
|
learning*
|
2.74
|
0.91
|
3.46
|
0.72
|
|
work/business
|
2.79
|
1.05
|
2.86
|
1.09
|
|
civic affairs*
|
2.76
|
0.89
|
2.87
|
0.90
|
|
consumer affairs
|
2.44
|
0.92
|
2.50
|
0.95
|
|
social relations*
|
2.83
|
0.96
|
3.17
|
0.88
|
|
entertainment*
|
2.35
|
0.97
|
2.56
|
1.02
|
|
medical information/services*
|
1.96
|
0.87
|
2.47
|
0.95
|
|
gain computer experience
|
-
|
-
|
3.32
|
0.83
|
|
local news and information
|
-
|
-
|
2.92
|
0.88
|
| How Eager are You to Try... |
|
|
|
|
|
electronic mail*
|
3.69
|
0.61
|
3.78
|
0.56
|
|
news groups
|
3.50
|
0.72
|
3.48
|
0.72
|
|
access libraries
|
3.27
|
0.81
|
3.26
|
0.87
|
|
access information*
|
3.58
|
0.66
|
3.68
|
0.62
|
|
FTP
|
3.17
|
0.88
|
-
|
-
|
|
remote log-in
|
2.83
|
1.02
|
-
|
-
|
|
gopher
|
-
|
-
|
3.35
|
0.92
|
|
www
|
-
|
-
|
3.76
|
0.63
|
|
Affiliated with univ. (1=yes)*
|
1.45
|
0.50
|
1.55
|
0.84
|
|
Gender (1=female)
|
1.73
|
0.44
|
1.68
|
0.47
|
|
Income*
|
3.27
|
1.66
|
3.48
|
1.82
|
|
Education*
|
5.40
|
1.48
|
5.20
|
1.36
|
|
Read Local Paper (1=yes)
|
1.24
|
0.42
|
1.20
|
1.48
|
|
Read National Paper (1=yes)*
|
1.70
|
0.72
|
1.46
|
0.51
|
|
| *Variables Marked with an asterisk indicate
significant differences
between year one and year two registrants. Significance testing
used MANOVA
(for model: F=4.70, df=3,2361, p<.01) with univariate follow-up tests
(Scheffe). Univariate tests are considered significant if the alpha level
is less than .01 and are starred with an asterisk. |
Access resources were quite high for both years of registration. Of the 2553
registered members of the BEV, 96% own a personal computer. The majority of
respondents have used a computer for between one and three years and have access
to more than one computer. Statistical tests indicate that year one registrants
reported significantly higher levels of computer experience than those who joined
later. While ownership and experience with computers were important characteristics
of the critical mass, it is interesting that experience with computer networking
was not significantly different over time. The implication is that lack of direct
experience with this innovation (community computer networks) may not have a
substantial impact on access.
The analysis of the kinds of people and information available on the network
focused on the demographic characteristics of the early adopters and on the
kinds of activities for which they hoped to use the BEV. The majority of the
registrants were between the ages of 23 and 30 and ranged from the ages of 12
to 83; most respondents were male (67%); most registrants subscribed to cable
television (67%) and read a local newspaper (74%). The majority of the registrants
had at least some college education and reported a median total household income
that ranged from $25,000 to $40,000 (see Table 1). Over time, results indicate
that significantly more females registered in year two than in year one. Year
one registrants reported higher levels of education and a significantly lower
household income than did year two registrants. However, none of these demographic
differences were substantively significant (eta-squared < .005). Contrary
to the implications of critical mass theory relative to cosmopolitaness and
media use, year one registrants were significantly less likely to read both
national and local newspapers than were year two registrants.
Registrants were also asked how helpful they hoped the BEV would be for a
variety of activities (see Table One). In the first year, registrants indicated
they thought the BEV would be most helpful for improving social relations, followed
by help with work, knowledge about civic affairs, and learning activities. In
year two, the pattern of expectations changed such that year two registrants
thought the BEV would be most helpful for learning activities, followed by gaining
computer experience, social relations, local news and information, business,
and civic affairs. Expectations of the BEV were significantly higher among year
two registrants than year one registrants, especially related to the possibility
for the BEV to help with consumer affairs (e.g. home shopping and e-commerce)
and learning activities (e.g. distance education).
In general, critical mass theory appears to be applicable to community computer
networking initiatives such as the Blacksburg Electronic Village. The present
data support the expectation that diversity and availability of early user resources
are essential to network sustainability. Especially important are the critical
mass predictions that early adopter social networks are essential
to develop sustainable community networks.
Returning to our initial question, who should system designers target as the
necessary 'pre-critical mass user' of an Internet-based community network? The
evidence gathered in this research project indicates that many conditions critical
mass theory identifies provide good guides. Specifically, the early adopters
of community network tend to be young (under 30), educated, experienced users,
and owners of computers. The critical mass of users also share some interpersonal
or organizational connection with the designers, builders or key players behind
the network. Experience with computer networks seems less vital than experience
with computers.
Services and uses that take advantage of the accelerating production function
(reciprocal interdependence) appear to be the key services to track in following
the emergence of critical mass. Evidence gathered in this research project indicates
the primacy of the expectation that the BEV community network will help with
social relations. This expectation, coupled with the finding that e-mail is
the service users have been most eager to try at the time of registration, leads
to the conclusion that other community networks should follow the suggestions
of critical mass theory thus they should emphasize and cultivate the
interpersonal and group communication capabilities of their systems.
Are the initial adopters of communication systems sufficient for sustainability?
Among the residents of Blacksburg, a remarkably oversized proportion joined
the BEV as initial adopters. Because so many people joined early on, the initial
adopters had to matter. Markus indicates the benefits of an interactive communication
system are only obtained if universal access and use is achieved. Markus posits
that a system like the BEV is likely to achieve critical mass if its early adopters
have a large and diverse array of resources and interests they bring to the
system. These sought-after early adopters, if they continue to use
the system, will attract new users to the system. In the Markus approach, this
process marches inevitably toward universal diffusion if the system is successful.
At the end of the second year of the BEV's existence, fully 44% of the community
were connected to the network from their homes and an additional 10% were using
from public access locations (Patterson, 1996). However,
diffusion in Blacksburg, while still well over national averages, has never
reached universal use. Internet use in Blacksburg hovers around
85% of the population (Kavanaugh, Cohill, & Patterson,
2000). By all accounts, however, the BEV is a sustainable interactive communication
system. Perhaps universal adoption is not the end state of critical mass as
posited by Markus. This research suggests that the presence of a large group
of high-resource, motivated early adopters are sufficient for critical mass
if they are supported by the designers of the communication initiative.
BEV designers and the BEV project relied on inputs from users to shape the
communication system from the start. This emphasis on evaluation became an important
vehicle for system designers to adapt the BEV to the resources and interests
of the people who used it. Markus refers to this phenomena as interventions
from system designers (p . 504). We believe this user-centered design
process goes well beyond an intervention and enters the realm of co-creation.
It could be that interactive communication technologies such as community computer
networks can achieve sustainability if designers remain involved with users
and continue to adapt the system over time. This co-creation seems essential
if a community computer network is to become a household object, one important
in the daily lives of community members.