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1. Introduction
More sophisticated
services than are currently available are required to serve the noble
goals of many web sites set up to make information and knowledge available
to all. As a sector example, sites such as www.canlli.org, www.austlii.org,
and www.law.cornell.edu all share a similar mandate to make legal
information available and freely accessible to ordinary citizens. However,
a current search on, say, privacy law on these sites is not useful or
easily decipherable to most of us. Needed are real technological advances
in methods for natural language processing, context-sensitive text mining,
and image and voice processing to realize full technology-enabled KM. In
recent years, Web sites, Intranets, and search engines such as google and
kartoo have become markers on the course to the future of KM.
The cycle of
technology research, invention, adoption, and use is only one facet of KM.
Keep It Simple Stupid (KISS) is a guiding principle to knowledge
diffusion. Such principles are rooted in the diffusion of innovation
literature which identifies characteristics such as ease of use, perceived
usefulness, observability, trialability, and compatibility as critical
success factors. Nonaka and Takeuchi’s (1995) famous model for knowledge
creation in companies identifies the two key forms of knowledge, tacit and
explicit, which characterize various conveyance means for knowledge and
thus motivate the combination of vehicles through which we acquire
knowledge and skills. Additionally, the field of research on innovation
networks analyzes topological issues such as the relation between the
strength of the linkages in the networks through which we transfer
knowledge, and network homogeneity that can degrade innovation capability.
It is our thesis
that knowledge management infrastructure and related services should be
built from the ground up with learnings from various fields. In this
paper, we particularly focus on KM infrastructure that governments build
with the intent for small and medium sized enterprises (SMEs) in
communities to leverage for economic development. We illustrate our thesis
using as an example the government of Canada’s work in this area.
Motivated to
increase the country’s productivity, the Canadian government issued a
10-year innovation strategy agenda in January 2001. Canada’s innovation
strategy identifies goals, targets, and government priorities in four key
areas: knowledge performance, skills, innovation environment, and
community clusters. In this paper, we describe knowledge management (KM)
infrastructure to support Canada’s four key strategic areas from the
perspective of three tiers of government: federal, provincial, and
municipal. Within the tiers, we illustrate the KM infrastructure in terms
of innovation network theory (Allee 2000, Ahuja, 2000; Baum and Ingram,
2000; Benassi and Gargiulo, 2000, Burt 1992) and innovation diffusion
theory (Mahajan and Muller, (1979); Davis, 1989; Mahajan, Muller and Bass,
1990; Mathieson, 1991; Moore and Benbasat, 1991; Rogers 1995; Hu et al,
1999; Agarwal and Prasad, (1998); Durrington et al., 2000) with respect to
knowledge management. Both fields of study facilitate the knowledge and
innovation creation and diffusion process. Furthermore, we map many of the
findings in these two fields to Nonaka and Takeuchi’s (1995) knowledge
creation framework thereby showing why findings in these two fields are
important to knowledge management.
We organize the
paper as follows. Section 2 presents communities’ clustering from a KM
infrastructure view. Section 3 reviews a model for federal and provincial
government to use as a guide for building KM infrastructure, as well as
provide illustration of the model with best practices in Canadian KM
infrastructure. In section 4, we make a recommendation for a provincial KM
infrastructure piece that is still missing from the Canadian governments
efforts. Section 5 targets how communities build their own KM
infrastructure and use it. Finally, section 6 provides a summary and
conclusion.
2. The community
cluster perspective for knowledge infrastructure and service
We present a
conceptual community view of a country’s knowledge management
infrastructure in this section. This perspective helps us to visualize
community clusters. Community clusters are not limited to spatial
proximity in our view. Figure 1 illustrates our community cluster
perspective, shown from the view of someone standing at the top of a wide
staircase and looking down. The top stairs represent the communities in a
country. Some citizens view the entire staircase as one community. Some
citizens only see one tile in one stair at the spot where the citizen is
standing. It is important when managing knowledge for governments to take
a wide-angle view from the top of the staircase – the community focus. The
top staircase level in Figure 1 represents KM infrastructure for all the
communities in a country. The level beneath represents that for all the
municipalities and counties; the one just below represents the provincial
KM infrastructure. The bottommost rung and the KM infrastructure common to
all is the federal KM infrastructure. We propose not to duplicate the
common infrastructure provided at bottom steps at higher levels. Rather,
federal infrastructure should be leveraged and efforts at the top of the
staircase should be targeted to knowledge not easily available at the
bottom of the staircase.

Figure 1: A
Staircase Metaphor for Knowledge Management Infrastructure
Knowledge
management infrastructure for community clusters form from slicing and
dicing the stairs, according to themes, or industry sector, or other
common criteria. For example, a community cluster (see A in Figure 1)
could consist of the historical rural shipbuilding communities of River
John in Pictou County, and Shelburne in Yarmouth county, both in the
province of Nova Scotia, plus the past shipbuilding city of Saint John in
the province of New Brunswick. Another example of a community cluster (see
B, in Figure 1) may be all the communities belonging to one county where
geography and political leadership are the common ingredients.
Although we place
emphasis on knowledge management infrastructure for economic development
in urban and rural communities, our model clearly shows that local KM
infrastructure does not exist in a vacuum. Indeed, local infrastructure is
greatly impacted and often path dependent on higher tier government KM
infrastructure. The KM infrastructure at the national/federal level is
pervasive in a bottom-up fashion and is accessible by all tiers of
government.
Integrated service
delivery is a frequently-used term in government that refers to the
integration of services across layers of government departments, agencies,
communities, and jurisdictions. Using the staircase metaphor, we can
effortlessly conceptualize horizontal-only vertical-only, and then
combinations of horizontal and vertical usage of infrastructure.
Horizontal-only integration is more apt to occur at the bottom rungs of
the staircase, at the federal level for instance. In contrast, innovative
community services may require higher degrees of both vertical and
horizontal integration of infrastructure services.
3. Federal and
Provincial KM infrastructure model
The Canadian
federal government summarizes the challenges of creating and maintaining a
knowledge economy in the four key areas of priorities as follows (GoC,
2001):
“Knowledge
performance: Finding better ways to create knowledge and for firms to
bring these ideas to the market.
Skills: Ensuring
that in years to come that Canada has enough highly qualified people with
the skills for a vibrant, knowledge-based economy.
The Innovation
Environment: Modernizing business and regulatory policies to support and
recognize investment and innovation excellence.
Community clusters:
Supporting innovation at the local level so that our communities continue
to be magnets for investment and opportunity.”
We capture these
federal government priorities in the following model (Jutla et al 2002,
Jutla 2003), illustrated in Figure 2, which guides governments in building
infrastructure for a knowledge-based society. Keeping in mind that a major
government role is the building and maintaining of many types of
infrastructure, we will show that each of the six components in our model
require knowledge assets, and hence a layer of knowledge management runs
through them.
We present a
working definition of the term infrastructure before we introduce the
different areas of infrastructure to support services that are essential
to knowledge-based societies. We adopted Slootweg and Verhoef’s (1999)
definition of infrastructure, and modified it to include assets such as
workforce, and skills; in electronic society, physical facilities include
physical network backbones, databases, and hardware/software.
“An infrastructure
is a large-scale technological system, consisting of physical facilities
and knowledge assets, and delivering (an) essential public or private
service(s) through the storage, conversion and/or transportation of
certain commodities/services. The infrastructure includes those parts and
subsystems necessary for fulfilling the primary storage, transportation
and/or conversion function(s) as well as those supporting a proper
execution of the primary function(s).”
The model in Figure
2 suggests that a knowledge and innovation based economy is the desired
outcome of effectively building the following six components’
infrastructures and processes. Each component has associated process
inputs and outputs, as infrastructure is set up to support a particular
flow (e.g. content, regulation, e-government service, communication,
skill).

Figure 2: KM
Infrastructure [adapted from Jutla 2003].
We conceptualize
dependencies in the model at a high-level in Figure 2, and refer the
reader to Jutla et al (2002) for details on the conceptual literature
surrounding this model. We provide visibility in Canada’s work in building
each major infrastructure component, shown in the model in Figure 2, in
the subsequent sections of this paper. Knowledge management relies on the
following six infrastructure components.
1.
Communications and information systems infrastructure (A)
2. Human
infrastructure (B)
3. Content
infrastructure (C )
4.
Regulatory, trust, and financial infrastructure (D)
5.
e-Government infrastructure (E)
6.
Organizational infrastructure for knowledge and innovation (F)
Some notes for
reading the model shown in Figure 2 are given:
a) All
infrastructure components (A, B, C, D, E, F) output (see broken lines) to
the “create knowledge and innovation” process (complex aggregate of many
processes) which then provide inputs (see double lines) to all other
processes used to build the six infrastructure components.
b) Each
infrastructure component has many complex processes inputting to it and
accepting output from it. For simplicity, we show only one aggregate
process per infrastructure component as input.
c) The KI&O
organizational infrastructure (shown as the cloud) connects and “oils” the
rest of the infrastructure components.
d)
Information flows are labeled with numbers (0), (1), (2)…(10) in brackets.
e)
Processes are also numbered (0, 1, …5) without brackets..
Although there
appears to be a linear sequence among components in our proposed model, it
is possible, to have different orders and priorities of building
infrastructure components; and it is recommended, to build components in
parallel whenever possible. The order we present in our model was the
naturally occurring and logical ordering found in most government
facilitation to date. Indeed, organizational infrastructure often appeared
quite late in many countries’ e-government efforts, grafted on when change
management in the workplace was identified as critical to success.
Indeed, in many
countries, first-generation knowledge infrastructure at a national/federal
level involves getting citizens’ access to government information and
codified knowledge on government Web pages. Thus, information and
communications technologies (ICT) infrastructure is among the first KM
infrastructure components we build. It is a good case for priority since
ICT infrastructure serves more than KM purposes.
Provinces,
municipal, and urban and rural communities are being encouraged by the
central government to (1) partner and collaborate, (2) serve sophisticated
and global markets with demanding customers, and create unique
products/services, and (3) meet global standards in order to promote and
sustain economic development. Thus, steps are being made to address the
fact that many communities often lack both the absolute and comparative
competitive advantage to participate in the world market place (Sieber,
2003). e-Government strategies are pioneering a second generation of
knowledge management infrastructure to support the communities’ economic
goals. Second-generation knowledge infrastructure includes creating
innovation networks by connecting existing networks, digitized content,
and knowledge repositories.
This rest of this
section illustrates how the Canadian government is satisfying theoretical
characteristics of diffusion of innovation and creating core features of
social networks found in literature in the practical setting of providing
KM infrastructure. We organize the KM infrastructure according to six
components in the model for building knowledge and innovation
infrastructure illustrated in Figure 2.
3.1
Organizational infrastructure and services
Organizational and
social science factors are often afterthoughts in technology diffusion
processes. However, organizational infrastructure to support e-business
diffusion needs to be built and woven into the fabric of society and
business from the very beginning and governments can play an important
role here. Organizational infrastructure, consisting of innovation
networks and governance structures for coordination, aggregation, funding
decisions, and bridging innovation networks, is a key factor in knowledge
performance.
Innovation networks
are vehicles for diffusion of information, knowledge and innovation across
many different individuals and groups in organizations, governments, and
among countries. Researchers define diffusion of innovation as the process
by which an innovation is communicated through certain channels over time
among the members of a social system (Rogers, 1995). Innovation diffusion
theories split commonly into two groups, with researchers focusing on
either innovation characteristics’ analysis or social network analysis (Higa
et al, 1997). Diffusion theories have many parallels in KM. The most
popular innovation characteristics are relative advantage, compatibility,
observability, trialability, and complexity (Rogers, 1995). Observability
is the extent to which the results of an innovation are observable to
others. We can immediately map the observability construct to Nonaka and
Takeuchi’s (1995) model of knowledge creation. For example, a primary
vehicle for the flow of tacit knowledge occurs through socialization (Nonaka
and Takeuchi, 1995) or behavior/innovation observation, and beliefs
copying. Trialability is the extent to which an innovation can be
experimented with before adoption We map trialability to knowledge
internalization in Nonaka and Takeuchi’s (1995) flow of explicit to tacit
knowledge quadrant.
Complementary
research into social network analysis explores the strength of the
relationships in the network, and the network topologies. Social capital
in the relationships among network participants assists in coordinating
and integrating knowledge from many diverse fields. Often the knowledge
that is transferred among individuals, groups, teams, and others is tacit
and can only be learned through communication, articulation, or personal
interaction – combining the externalization and socialization quadrants in
Nonaka and Takeuchi’s (1995) knowledge creation framework. Networks ease
the knowledge transfer and absorption process within and among stakeholder
organizations (Allee, 2000), thus also assisting internalization (Nonaka
and Takeuchi, 1995). Additionally, innovation networks enable a
stakeholder to draw on knowledge from external sources that the
stakeholder would not have been able to access otherwise (Gargiulo and
Benassi, 2000, Ryecroft & Kash, 2000). These networks create flexible
systems enabling communities of practice or “informal and semi-formal
networks of internal employees and external individuals based on shared
concerns and interests” (Malhotra, 2000). Networks can also facilitate
lobbying, representing, marketing, promotion, sector alliances, and
international alliances, all activities important to economic development.
Governance
structures to support various communities of practice form another part of
organizational infrastructure. At the federal level, the Canadian
government created an Organizational Readiness Office (ORO), under the
Chief Information Officer Branch of the Treasury Board of Canada
Secretariat, to provide such governance. The ORO develops community work
plans, and research and demographic-analysis capacity for knowledge
sharing networks or communities of practice. Currently, the ORO supports
three communities in the public service of Canada: information management,
information technology, and service management communities of
professionals. According to the ORO’s web site (www.cio-dpi.gc.ca/oro-bgc/index_e.asp),
“..the ORO is also being recognized as a center of excellence in nurturing
informal workplace learning and knowledge sharing networks...”
The ORO networks
establish a normative environment that allows community members to expect
a certain code of conduct from other network members. ORO community
members bond through the increased perception of the similarity among
community members’ goals and values. Rogers’ (1995) innovation diffusion
characteristic of compatibility or the extent to which an innovation is
perceived to be compatible with current values, needs, and past
experiences of potential adopters is present in the ORO’s efforts. As
evidence, the ORO site publishes the results of community exercises to
identify and relate the similarities among the group and individual’s
goals and values for each supported community.
Federal-level
Industry Canada plays an active role in creating partnerships between
public research sector and private sector, often sponsoring workshops and
conferences for facilitation. Behind the scenes, the Canadian government
has enabled a network of government departments and agencies that service
industry to co-ordinate and exchange research projects, experiences, and
programs as an initiative under its “e-Business Growth Strategy.” To
complement the public sector activities, a Canadian e-Business
Opportunities Roundtable (eTeam, 2002) comprising of mainly private sector
representatives was formed in mid-1999 to “accelerate Canada’s leadership
in the digital economy.” In 2002, the Roundtable morphed into the Canadian
e-Business Initiative ( www.cebi.ca).
A good example of
the contribution to innovation networks and governance, at the provincial
level, is the knowledge infrastructure that the Integrated Services
Delivery Division (ISDD) of the Ministry of Consumer and Business Services
maintains to support the Ontario Public Service. Several publications (Socitm
2002, ICCS-ISAC 2003) identify that turf tension, organization culture
clashes, resistance to change, and tunnel vision are some of the key
organizational barriers around providing better e-service delivery to
provinces, municipalities and citizens. In 2003, the ISDD addressed the
barrier by Web publishing an excellent, and pragmatic, Partnership
Workbook that contains the “concepts, knowledge, and experience garnered
from research, workshop, and consultations” (ISDD 2003) on the topic of
partnerships. This 77 page workbook resource and others, such as a
template for a funding agreement between the federal government and a
provincial business services society targeted for community economic
development, can be found through the Institute for Citizen-Centred
service Web site. See figure 3 for a web of other knowledge resources
relating to using electronic means for service delivery as well as
community economic development.
Other provinces in
Canada, such as Nova Scotia and New Brunswick, centralized service
delivery by creating a Department solely responsible for this function.
Nova Scotia created the Department of Service Nova Scotia and Municipal
Relations (SNSMR) incorporating the former Business and Consumer Services
portfolio. Unique to Nova Scotia’s centralized model is the elevation and
recognition of the importance of municipal relations as demonstrated in
the Department’s name. The department actively supports innovative service
deliveries from a wide variety of federal agencies, municipal and
intra-provincial partners. More recently, the Nova Scotia Justice
department, Halifax Regional Municipality (HRM), and the Registry of Motor
Vehicles function of SNSMR partnered to allow citizens to pay parking
fines through a single service access point hosted by Service Nova Scotia
as opposed to going to 3 separate access points including Justice and HRM.
Building on e-government service delivery, SNSMR actively participate in
knowledge creation, transfer, use and delivery by sharing their expertise
in facilitation, integrated processes, best practices, and knowledge
around Web sites portals with municipal partners such as the e-government
award winning Cape Breton Regional Municipality, and communities such as
Pictou County’s River John (www.riverjohn.com). The province enhances
knowledge transfer through an informal “loan “ of a skilled person
resource for a few days in whatever IT capacity the partnering community
requires.
3.2 Access
to communications and information systems infrastructure and services
The first
generation of access to a first-generation online knowledge infrastructure
was driven from the federal tier of government from the mid-nineties
onwards. Since then, Canada has made many advances in increasing access of
its citizens to a communications infrastructure for knowledge diffusion.
For example, through the community access program (CAP), Canada connects
10,000 communities. The VOLNet initiative connects a further 10,000
voluntary organizations. In terms of communications infrastructure, Canada
has the world’s longest purely optical network at 6000 km. It has the
capacity to exceed 40Gbps. According to the OECD (2001), the country is
also second in the OECD in terms of broadband penetration. Com Score
Metrix Canada and Nielsen Ratings report that approximately two-thirds of
Internet home users in Canada are currently subscribing to broadband
services in 2003. The Canadian figure is almost twice the broadband
penetration of US households. Current deployment of broadband
infrastructure can support access from 80% of the population. In the world
connectedness index, Canada ranks second with respect to availability,
third in price, and first in reach and use (Conference Board of Canada,
2002).
To further support
community economic development, Canada has the second largest number of
community “freenets” behind the US (see http://www.lights.com/freenet).
The freenets intend to provide free email and Web space to individual
users. Many freenets are charging a small fee now but it is still possible
to find some free service providers for dial-up and DSL services, and to
connect mobile personal device assistants (PDAs) to the Internet. The
freenets are a low cost solution for hosting the Web sites of small
businesses in distressed yet connected communities.
A theme throughout
supporting knowledge management in this paper is reuse of existing
infrastructure elements. In the physical ICT world, technology advances
such as ad hoc networks (Malek, 2003) are reusing existing devices such as
personal computers, printers, and even toasters as relay devices for
mobile communication packets. Through the vision and eventual realization
of the Semantic Web, we expect some refinement of ICT infrastructure with
standardization around platforms supporting user agents’ communication for
useful Web services. Examples of potential Web services include: easily
seeking out useful knowledge, automating the integrating of information
and knowledge from various stakeholders, automating the visualization of
information and knowledge according to a range of user profiles, and
managing collaborative stakeholder updates to distributed assets
containing domain knowledge.
Provincially, there
has been a move towards the standardization of ICT infrastructure. Nova
Scotia has over 8000 licenses for SAP financial and human resource
applications. When the Cape Breton Regional Municipality (CBRM) had a
successful, low-cost implementation of SAP R/3™, providing activity based
accounting and customer relationship management, CBRM was well on its way
to providing its communities with infrastructure on which to develop
community services. CBRM achieved low-cost implementation through
knowledge transfer around SAP™ from the Halifax Regional Municipality and
Services Nova Scotia and Municipal Relations, thus reaping one of the main
benefits of standardization – access to an existing pool of skilled
resources and proven procedures. Such standardization links to the
compatibility characteristic in the diffusion of innovation literature.
Its benefit shows relative advantage. Another government effort emerging
from Denmark (DK 2003) to standardize open source software links very
closely to compatibility with respect to alignment in country’s values.
We have not yet
seen the diffusion to communities of the next generation of ICT
infrastructure that will provide powerful visualization of complex
phenomenon, and integration of voice capabilities. Emerging ICT paradigms
such as the Semantic Web and computer grids are expected to provide
interoperability and plug and play capability of software applications
running on optimal configuration of hardware, and knowing where to access
appropriate data. The application of knowledge supported by these powerful
systems could revolutionize many fields. Some predict that in the next 50
years, all information about objects including humans, processes, and
organizations will be online (Brown and Dugald, 2000). Perhaps all
meta-information will also be available so that machine agents will be
able to help humans sift through the vast volumes of data, and to reason
to produce useful knowledge.
3.3 Human
infrastructure and services
Human
infrastructure consists of a workforce with the skills to effectively and
efficiently acquire, apply, create, and transfer knowledge. A preliminary
study shows that most employees create knowledge within scope of his/her
expertise, and most package existing (versus creating) information and
knowledge, whereas all interviewees apply knowledge in their job (Daigle-LeBlanc,
2001).
Knowledge transfer
to students, SMEs, and communities is being done on several fronts.
Infrastructure comprises skills distribution channels, not only over the
Internet, but also through existing channels including the face-to-face
channel. Strategists agree that using existing, branded, skills
distribution infrastructure is effective and recommend modifying or adding
new programs to deliver over them. Adding complementary Internet delivery
channels to these delivery systems increases their reach and provides
material to support their programs in a cost effective manner.
Governments,
associations, and communities transfer knowledge to citizens and members
through services such as educational seminars, practice sharing, and job
training. One of the more useful mechanisms for transferring knowledge and
innovation to the SME sector is through distribution channels such as
university business development centres, and government business service
centres. These provide pertinent e-business development skills at very low
cost to SMEs. Traditional services have included writing business plans,
developing new products, and assisting with complex accounting and
taxation issues. These centres and/or networks have existing client bases
that they can influence directly and hence increase the rate of e-business
adoption by SMEs. In 2000 and 2001, agencies of Industry Canada conducted
dozens of workshops and seminars on e-commerce for the SMEs across Canada.
Supporting Canada’s
Innovation Strategy is Industry Canada’s Student Connections Program (SCP).
Running out of provincial business service centers, community colleges,
and university business centers, the SCP (http://www.scp-ebb.com) hires
and trains post secondary students and recent graduates from universities
and community colleges as small business advisors. Although the Students
Connection Program trains on a whole variety of business services, it has
been responsive to the government’s desire to e-business enable its SMEs,
and currently offer face-to-face courses on Internet training, customized
Internet training for seniors, electronic commerce implementation, and
electronic commerce strategy at beginner and advanced levels.
Supplementary, free online course materials are also available.
Generally,
government support for the development of e-business knowledge and
innovation has focused on setting up research centers, helping e-business
ventures in key national industrial sectors, and on facilitating the
adoption of e-business by the SME sector. Research institutes have been
encouraged to combine expertise from multiple disciplines such as
engineering, computer science, business, law, and policy. Other research
institutes have set up associated e-business incubators to facilitate the
transfer of innovation to the commercial SME sector. Infusing existing
infrastructure for research and development with additional funding for
strengthening and expanding multidisciplinary research, and for creating
additional places for higher education in targeted disciplines, is another
way of expanding knowledge assets. According to (FF4, 2003) “the skills
gap in Canada is most severe in the core occupational disciplines of
computer science, microelectronics design, photonics and wireless design,
software design, and systems analysis.” Thus, demand for skills is still
high in subsets of the computer science (CS), management of information
systems (MIS), and electronics and electrical engineering (EE)
disciplines. These are among the disciplines that tend to create skill
sets to invent new technologies, techniques, and processes.
Colleges and
universities aid in skills’ development and extend the reach of certain
skill development services through making them available through online
learning and distance education. Online courses are rapidly becoming a
commodity accessible to many employees. However, the current workforce
generations are not sufficiently familiar with online communication
technologies to yet benefit from e-learning programs. FF4 (2003) reports
that over “20% of SMEs cannot find the skilled employees they require to
implement e-business.” Specifically, there are not enough trained
personnel with a hybridization of technical and business skills. A recent
British survey of health professional students conducted at the University
of Sheffield shows that most had never used Internet Relay Chat, message
forums, and videoconferencing although they regularly surfed the Web and
used email. The conclusion of that study was “ most students do not have
sufficient experience of on-line learning environments and therefore
future use of Continuing Professional Education material in this
environment is likely to be limited (Stokes et al, 2003)”. Fortunately,
current groups of high-school students are skilled in the use of on-line
chat rooms and message forums. These technologies have diffused in much
the same way as hotmail and yahoo mail accounts did (Judge, 2002), through
observing friends and colleagues using the media and then trying it out
themselves, thus utilizing two powerful innovation of diffusion
characteristics – observability and trialability.
This
interdependence of ICT and human infrastructure components is just example
of the interdependencies that exist in a knowledge-based economy. We
hypothesize that the next generation of university students who are
currently growing up with the Internet will be better prepared for
training through multimedia and distance. Rich multimedia can facilitate
knowledge use in all its forms (acquisition, application, creation, and
packaging for transfer). Tacit to tacit, explicit to tacit, and tacit to
explicit knowledge transfer is taking place in health training centers
around the world where footage of procedures can be played, paused,
analyzed, and assimilated before internship or apprenticeship begins.
3.4
Content infrastructure and services
According to a
study targeted to measuring knowledge use (Daigle-LeBlanc, 2001), “surf
the Web” ranked almost equally to the most popular answer “ask someone” as
the most common methods of knowledge acquisition by managers and
professionals.
The Canadian and
other governments have created many Web sites for use as governmental
knowledge resources (see a sample in Figure 3) to facilitate the vision of
building strong communities that effectively participate in a world
knowledge economy.

Figure 3: A Segment
of Canadian Web Sites hosting e-Government Knowledge Resources (source:www.kartoo.com
using search keyword: ”Institute for Citizen Centred Service”)
Knowledge portals
facilitate access to content: the repositories and other digital
collections that contain domain knowledge. Content management software is
necessary to maintain up-to-date and relevant information, intelligence,
and knowledge. Currently many communities consider a portal as an access
point for members as well as for the external world to learn about them,
but a fully functional portal can be a knowledge source. Knowledge
portals, as vehicles to knowledge delivery, may support tacit to explicit
knowledge transfer (Vitales, 2002).
The knowledge
portal is only one piece of the KM infrastructure; the other piece is the
actual knowledge repositories and ontologies. In Canada, we find digital
collections for organized content focused on culture, science, geography
and other areas at http://collections.ic.gc.ca/. Youth Employment programs
create many of the collections, as well as SchoolNet initiatives where
students aged 15-30 create web sites using content from Canadian museums,
and other archives. A digital repository comprising modernized work
descriptions and desired and actual skills for and of government employees
across Canada is a knowledge asset that would facilitate recruitment and
the optimizing of mobility across the largest workforce in most nations –
the government employees. Private sector already have such repositories at
workopolis.com, http://jobs.gc.ca/it-ti/index_e.htm, http://www.jobsetc.ca/
, http://www.scp-ebb.com/, and www.ecorps.ca.
Canada’s efforts at
organizing content for SMEs are best found in the strategis (http://strategis.ic.gc.ca)
web site – a site that provides databases of information for trade,
supply, export, legal research, business financing, patents, and matches
on private sector and university-based expertise to name just a few. These
databases also power the www.CanadaInternational.ca site. For more
sophisticated community economic development, providing hands-on models
with incubator style online marketplaces (Jutla et al, 2003) will be the
way forward. In June 2001, the then Minister of Industry launched a
service called SourceCAN billed as “.. Canada’s public and private sector
e-marketplace, connecting Canadian businesses and their capabilities for
the domestic and global e-marketplace and exposing opportunities through
local and international e-business partnerships. “ Free access is provided
to an up-to-date database of Canadian companies and their capabilities,
business opportunities matching, posting, e-catalogues, and virtual trade
shows. Five major feeds are input to the e-marketplace. Federal and
provincial governments request for bids represent a major feed as the
largest proportion of SME economic activity in Canada comes from servicing
the government. Business members form another major feed into the
e-market. Three major feeds come from the US government. One feed provides
general procurement information including sales of US government property,
procurement actions, and contract awards. Another US feed is from the
Trade Opportunity Program (TOP), a daily feed that lists all procurement
opportunities with the US government. The third US feed is from the US
department of agriculture listing procurement opportunities in the US
agricultural sector.
Canadian businesses
can display their catalogues free of charge in GE’s Express Marketplace, a
B2B digital marketplace that is currently administered by GE Global
exchange Services (GXS). However, SMEs do have to pay service charges to
GE for selection, procurement, requirements, and transaction
payment/billing (settling) services. According to a press release from GXS
(2001), the Web-based GE Global eXchange Services' (GXS) Express
Marketplace “supports SourceCAN by making supply chain services - such as
reverse auctions, procurement workflow, purchase order status tracking,
turning purchase orders into invoices, and tracking invoice payment status
- available to SourceCAN member companies on a subscription and/or
per-transaction basis.” An online demonstration of the Express Marketplace
can be found at https://www.gexmp.com/docs/en/demo1.html. Statistics on
SME usage of SourceCan are not currently available.
One year after the
SourceCAN release, in November 2002, the Canadian province of New
Brunswick (NB) launched SourceNB – a syndicated, localized version of
SourceCAN focusing on the Atlantic provinces ( http://www.sourcenb.ca/E/press_nov20_02.cfm).
With a higher profile to the local business than its parent, SourceNB
lists requests for bids/tender from governments of several dozens of
countries, including Australia, the Caribbean, Africa, Europe, Latin
America, and Asia.
3.5
Regulatory, trust, and financial infrastructure and services
The management of
technology literature states that online trust ranks as important as ease
of use, and perceived usefulness when considering factors that affect
e-commerce adoption (Gefen et al, 2003). The success of knowledge
innovation networks for economic development will depend on trusted
interactions among partners. Privacy, with respect to knowledge assets,
including the nature and density of user actions, is a key piece to build
into a trust infrastructure. The federal government has addressed this at
a regulatory level with the Personal Information Protection and Electronic
Documents Act (PIPEDA) which comes into force in January 1, 2004. It
recognizes the equivalence of electronic signatures and documents to their
physical counterparts. It also legislates the privacy aspect of security
for businesses and their customers. By 2004, all Canadian businesses must
comply with PIPEDA or equivalent provincial regulations. Additionally,
PIPEDA will govern all inter-provincial or international exchanges of PII
in the course of a commercial activity.
Although Alberta
and British Columbia have proposed equivalent privacy acts, they are not
yet considered equivalent. In the near future, provinces will piggyback on
the federally-provided infrastructure. Indeed, there is probably little
value added for duplicating privacy regulations at provincial levels.
There are times when provinces and municipal business associations can
play a part in creating trust services such as assurance seals. Evolving
from the TrustInfo seal, the ChamberTrust B2B seal is a premier trust seal
in use at the International Chambers of Commerce, the World Chamber of
Commerce, the Paris Chamber of Commerce, and the British Columbia Chamber
of Commerce in Canada. The seal is endorsed by the OECD, the government of
Canada, SME chambers, and other key stakeholders in e-business among SMEs.
The idea behind the security of the seal is the four-level check. In order
for businesses to obtain the ChamberTrust seal, the business must be a
member of a provincial government business registry, local chamber of
commerce, a local bank, and must provide a contact person in the SME.
Community portals
can keep community members up to date on other regulatory changes that
affect economic development outlooks. For many years, in comparison to its
southern neighbor, the USA, Canada’s tax and regulatory structures were
not as favorable for business. Comprehending the business and individual
disadvantages to investing and staying in Canada, the government of Canada
(GoC) created a five year Tax Reduction Plan in year 2000 which proposed
the “largest tax cut in Canadian history”. The Canadian federal plan is
that, provided the US tax legislation remains as is, by year 2006,
Canadian corporate tax rate including capital taxes will by 5% lower than
the US, and that the income tax rate will be 7.1 % lower than in the US.
3.6
e-Government and Knowledge Services
Accenture has
ranked Canada’s efforts in e-Government as the best out of leading
countries in the last three years mainly because of maturity in service
transformation. Canada has the largest percentage of citizen uptake of
e-government services in the world, with continuing encouragement from
their citizens for more online services. This statistic is very much
unlike that in other “first-world” countries such as the UK where citizen
uptake is hovering in the single digit figures (Pinder, 2003).
Over and above
providing specific e-government services, is the importance of the
government’s leadership role in showing how to use Internet-based
knowledge and information services effectively. Not only can SMEs and
communities view examples of best practices, but they can also leap-frog
through their own innovative combinations of knowledge services.
SMEs can
incorporate e-government services to create new higher value aggregate
services – the bouquet concept. A service example would be an SME travel
company offering a seamless experience in providing the airline booking
service, complete with fast online checks for the traveler’s passport
expiry dates, online application for new passports, and checks with the
department of health for what vaccinations are required to travel to a
particular country (Regio, 2002). Furthermore, it is imaginable that the
travel company can go online and acquire appropriate licenses (e.g.
hunting/fishing licenses), U-pick reservations for strawberry or cherry
picking (from Dept. of Agriculture and Fisheries), or book Bob’s Harbour
Cruise (from Tourism, Nova Scotia) months before its client ever leaves
home. Weather forecasts and maritime advisory alerts, or tide and
water-level predictions (from Fisheries and Oceans Canada) can be pushed
to devices on pleasure craft vessels, or received by email, a few days, or
at any specified time(s) before a trip. The SME travel agency could “wrap”
these individual services from the government in a neat service bundle for
the consumer.
Other imaginative
services can be created on top of e-government offerings and other
distributed knowledge repositories in communities. According to GOL
(2003), the GOL initiative “includes over 130 services from 30 federal
departments and agencies by 2005.” Many of these services will be
integrated. It is up to the innovative SMEs and communities to create
aggregate services by incorporating them in their own unique products and
services.
4. Communities creation
and use of km services for economic development
Mosteller’s (1981)
example of the diffusion of scurvy control through the British naval
community classically illustrates why knowledge delivery and knowledge
application is important. The system in the British Navy, social and
otherwise, did not successfully diffuse medical findings of the positive
results of treatment of scurvy with citrus fruits for decades. It was
nearly 200 years before the knowledge was used. This often quoted example
substantiates that knowledge management infrastructure should build in a
heightened degree of “perceived usefulness” – another important diffusion
of innovation characteristic.
Perceived
usefulness and ease of use are two constructs shown to be necessary for
adoption of technological innovation in the widely adopted Technology
Acceptance Model (TAM) (Davis, 1989). Both constructs are counterparts to
Rogers’ (1995) relative advantage and complexity constructs. The province
of Nova Scotia has captured these two characteristics in its deployment of
the Google search service over its provincial information and knowledge
assets. The service, renamed “Ask Joe Howe”, is a simple, yet highly
effective search service which virtually created a provincial innovation
network of easily locatable human contacts, and connected previously
unlinked data stores across the province of Nova Scotia. The technological
service filled many structural holes in Nova Scotia's previously
weakly-linked innovation networks. In addition, the Department of Services
Nova Scotia and Municipal Relations (SNSMR), responsible for the Ask Joe
Howe service, now possesses and uses the capability to customize
government content, keywords, and to train the search engine based on
questions that citizens type. Ask Joe Howe is perceived as very easy to
use – most citizens use Google search services for daily use and its
interface is thus familiar, and consistent.
Following on the
heels of the provincial success, the e-Director of SNSMR loaned personnel
resources out to a rural municipality for a day to participate in the
re-deployment of the proprietary Google search engine service at a local
library in a rural community in River John (see riverjohn.com). That
deployment supported the creation of a "Business Room" in the local
library where local citizens could find many online and offline resources
to business questions they may have. In mere hours, search access became
feasible over multiple municipal and localized business-related archives,
as well as over provincial and federal business resources, such as the
http://strategis.ic.gc.ca/ebizenable and www.businessgateway.ca sites.
This example speaks to optimizing the mobility of human knowledge assets
and hence enabling tacit/explicit knowledge transfer between tiers of
government.
Some of the more
proactive communities in Nova Scotia are leveraging age-old knowledge
source infrastructure such as community and town libraries to create
central hubs around which citizens will adopt Internet technologies to
support economic development. The library in River John is a source of
pride for the community members. Over time, they donated hundreds of
thousands of Canadian dollars to build it. According to one community
supporter, it takes 30 seconds to drive through this community, which has
no bank and one automated teller machine, but most striking is the
beautiful, new library. The chief librarian for the Pictou county area is
an innovation champion who follows the Keep It Simple Stupid (KISS)
principle. He wanted to aggregate community resources for community SMEs,
and he set up the partnership with the province to get the community the
“Business Room”. He aims to make the picture collection of community
history widely available through a simple knowledge portal. The e-director
of SNSMR is transferring knowledge by encouraging the eventual development
of a fully functional knowledge portal.
5. Integrating KM
infrastructure for better service delivery
Currently,
informal, championing stakeholders, such as River John’s librarian, are
approaching provinces or departments responsible for e-government delivery
to partner for innovative service delivery. We propose that more formal
and timely KM infrastructure services may be achieved if a body is
assigned responsibility for systematic examination of opportunities across
communities. There is currently a gap at the provincial governments level
with respect to having an entity similar to the federal–level
Organizational Readiness Office to create, coordinate and maintain the
knowledge infrastructure responsible for:
1.
Identifying service opportunities
2.
Coordinating and aligning strategies and tactics to transfer innovation
across communities
3.
Aggregating and optimizing resources, capabilities, and capacities of
public and private sector infrastructure, human capital from local and
state-level employees, public sector association employees, and private
sector employees for optimizing knowledge use
4. Creating
new knowledge transfer channels for communication among stakeholders
5.
Measuring knowledge infrastructure and service success
6.
Stimulating knowledge sharing and deploying knowledge protection
mechanisms
7.
Connecting municipalities and communities with funding mechanisms for
creating innovations
8.
Strengthening the ability of communities to absorb new knowledge
9.
Strengthening cluster brands
Such an entity
could help close the gaps among tiers of infrastructure in government and
to allow seamless slicing and dicing of the KM “staircase”. However there
is debate in the research literature over tightly embedded relationships
or strongly linked network ties resulting in network closure, and
weakly-linked or open networks. Closed networks promote situational
normality, trust, and unfortunately sometimes homogeneity. Some theorists
view networks as most efficient when there exist weakly-linked ties and
structural holes between network members (Ahuja, 2000; Burt 1992, Baum and
Ingram, 2002, Gargiulo and Benassi, 2000). They argue that the knowledge
becomes more diverse and non-redundant. Indeed some government
practitioners choose to take a hands-off approach citing that in their
experience too much governance stifles innovation and sometimes can cause
the death of good ideas. Compromise between the closed and very open
structures may eventually gain the most safety and flexibility. Research
in innovation networks is still at an early stage. It may be promising for
virtual community clustering that some research finds no correlation
involving spatial or unit proximity and time of adoption of innovation in
a social network (e.g. Durrington et al, 2000).
6. Summary and
conclusions
We present a model
that is useful not only as a guide to building federal-level KM
infrastructure, but allows other tiers of government to similarly
organize, make decisions to rely or not to rely on nationally-provided
components, and/or focus on auxiliary and proprietary components at the
community level. Organizations and communities can supplement government’s
infrastructure in providing corresponding mechanisms at each level of KM
infrastructure. For example, at the organizational infrastructure level,
businesses can set up “affinity groups” which have been shown in the human
resources and management literature (e.g. Davenport et al, 1996, Van Aken
et al, 1994) to be an effective means of knowledge acquisition, alongside
“asking someone” and “surfing the Web” (Daigle- LeBlanc, 2001).
Modernizing and simplifying computer-based tools and services, recruiting
and hiring skilled personnel, forming effective training policies,
managing electronic content, creating governance and other regulatory
frameworks for sharing knowledge, and inventing innovative ways to
knowledge-mine external feeds are all business examples for complementing
the matching types of infrastructure governments provide for knowledge
management.
Themes of reuse,
keep it simple, and innovation championing are pervasive throughout
community efforts at building KM infrastructure for economic development.
It makes sense for the higher tiers of government to provide the more
complex and costly infrastructure components, build a simple interface to
these components, and let the masses build on top of them. In this paper,
we have identified what infrastructure and services governments can
provide to support KM in communities. Furthermore, we illustrate the role
of characteristics of observability, trialability, ease of use, perceived
usefulness, and compatibility when building KM infrastructure at several
tiers of government. We discuss tradeoffs of strongly linked, trusted
networks and weakly linked, but inherently more flexible networks. At this
point, governments appear to be balancing the desire to fill gaps and to
maintain a hands-off approach.
In Canada,
e-government strategies are pioneering a second generation of knowledge
management infrastructure to support SMEs economic goals. One example of
the emphasis on KM is the Nova Scotian acquisition of a proprietary Google
engine service, renamed "Ask Joe Howe", which was first deployed at a
provincial level, and then diffused to the community level to leverage
community knowledge resources as well as provincial/federal knowledge
resources for business. Governments are starting to take advantage of the
mobility of an essential infrastructure element, and are temporarily
placing skilled government workers in the communities that can most take
advantage of their knowledge skills.
Third generation KM
infrastructure will emerge in the next decade with new challenges and
opportunities. Until then, we expect involvement of multiple communities
in creating localized e-content with possibly thematic connections (e.g.
vintage trains, shipbuilding, quilt making) will grow as communities climb
and add higher steps to the staircase of knowledge.
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