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A Conceptual Framework for Comparative E-Governance Research*
By
Yu-Che Chen Assistant Professor of E-Government and Public Management
Division of Public Administration Northern Illinois University,
DeKalb, IL 60115, USA [email protected]
&
M. Jae Moon Underwood Distinguished Professor of Public Administration
Yonsei University 134 Sinchon-dong Seodaemun-gu
Seoul, 120-749 Korea [email protected]
*Paper prepared for presentation at the Public Management Research Association/International Research Society for Public Management (PMRA/IRSPM) 2010 conference in Hong Kong, October 14-16, 2010.
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Abstract
This paper develops a conceptual framework to guide empirical research on international and comparative electronic governance. This proposed framework provides a new conceptualization of e-governance and emphasizes on the role of strategic managerial choices in improving e-governance performance. This framework draws insights from several relevant literatures: institutionalism, interorganizational information systems, collaborative public management, and online civic engagement. It describes the influences of political, legal, social, administrative, economic, and technical infrastructure factors on e-governance performance. Moreover, it examines how strategic choice and leadership combined with technology enactment can mediate or moderate the impact of these contextual factors on e-governance performance. Research propositions and strategies are proposed to guide future empirical research.
Introduction
The use of information and communication technologies (ICTs) for public governance is
an issue of increasing importance facing public administration and management (United
Nations, 2010; Yang, 2009). The growth of the online population and the increasing use of
electronic means for citizens to interact with government are important driving forces. For
example, approximately three out of four adults in the United States are able to get online, and
a majority of them access government websites.1 A recent national survey indicates that
China’s internet population is at 250 million, which is over 17 percent of its population.2
Advances in information and communication technologies also provide public managers
with tools to provide integrated (citizen-centric) services. A citizen service information system
can provide an integrated view of public service requests and delivery. For example, a 311
system in Minneapolis/St. Paul in Minnesota provides an integrated view of a host of services
traditionally provided across nine departments and units (Fleming, 2008). Or, a national
Thus,
public managers increasingly need to connect with the public via electronic means.
1 For more information and update, visit Pew Internet and American Life Project web site (http://pewinternet.org/). 2 For more information and update, visit China Internet Network Information Center (CNNIC) web site (http://www.cnnic.net.cn/en/index/).
http://pewinternet.org/�
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information system can be used for disease control. Such integration holds the promise of
breaking down the barriers dividing various governmental departments and units to deliver
public value.
Moreover, recent developments in ICTs offer fresh opportunities for public governance
via electronic means. The rapid growth and use of Web 2.0 tools have opened up opportunities
for government to engage with citizens via their preferred mode of online interaction (Chang &
Kannan, 2008). For example, the Obama White House has a channel in YouTube to raise citizen
awareness of public policy issues. The Ideascale project sought innovative, peer-evaluated
policy ideas directly from citizens by using Web 2.0 features.
A cornerstone of democratic governance is transparency. Information technology helps
public managers provide information to the public, such as the federal government’s
Recovery.gov website, which provides information on the use of economic recovery funds. Such
transparency could be done collaboratively among communities of information, and
government can play a critical role in ensuring that transparency is meaningful and targeted
(Fung, Graham, & Weil, 2007).
Empirical studies of electronic governance to date tend to focus on performance
evaluation rather than improving performance itself. Several international and comparative
studies have provided rankings for national government websites (United Nations, 2008, 2010;
West, 2008). Performance measures have evolved over the last decade, adding privacy and
security as well as citizen engagement (i.e. e-participation), and improved access and quality of
online services. At the sub-national level, there is a good collection of studies examining
government websites and scoring them based on a wide range of criteria, including citizen
participation (e.g. (Holzer, Manoharan, Shick, & Stowers, 2008; Scott, 2006; West, 2005)). A
new emphasis on what public managers can do is essential in advancing the theory and practice
of e-governance (Yang, 2003). Once baseline and benchmark performance information are
available, the next logical step is to focus on methods of improvement.
The empirical investigation into international and comparative e-governance faces the
challenge of describing and explaining the influence of various contextual factors on e-
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governance, such as political, legal, economic, organizational, and technical factors, among
others. Heek’s (1999) examination of international practice points to several political, cultural,
structural, and strategic factors. The United Nations’ 2008 e-government survey report
highlights basic infrastructure issues: enabling institutions, such as laws and regulation, and
technology infrastructure, such as access to internet and mobile devices (United Nations, 2008).
Several comparative studies of e-government have underscored the importance of
understanding government structure and institutions in understanding the advancement of
digital government (e.g. (Homburg, 2008)). However, there is a lack of rigorous systematic
investigation into how these factors determine e-governance performance and there is a need
to better describe the role of ICTs in the process.
The recent rapid development and use of Web 2.0 tools and system integration
technologies present new research opportunities. The existing scholarship has not fully
explored the complementary roles that online civic engagement and integrated citizen service
can offer each other. For example, citizens can form virtual communities to provide evaluation
of government services. An electronic public service agent while providing integrated citizen
services can simultaneously give citizens the opportunity to comment on public policy issues.3
The primary objective of this paper is to develop a conceptual framework by which
international and comparative e-governance research can advance the understanding of e-
governance through addressing the issues and opportunities identified above. In particular, this
proposed framework will describe the influence of various contextual factors, delineate the role
of strategic management, and explore the opportunities of government 2.0 in integrating online
service with online civic engagement. The next section begins with a conceptualization of
electronic governance that will be foundational for the development of the proposed
framework. The discussion will be based on a literature review that draws insights from various
A
forward-looking research agenda in e-governance would explore the ways in which these
innovations can be better managed to add public value.
3 Dr. Sung at the Research Development and Evaluation Commission (RDEC) in Taiwan provided me with this insight.
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bodies of research. Next, the main section of the paper will propose a conceptual framework
accompanied with research propositions. This paper concludes with a preliminary research
agenda aimed at forwarding the understanding of e-governance in international and
comparative perspectives.
Electronic Governance
Electronic governance has been generally viewed as a combination of an advanced form
of e-government and online civic engagement (Y.-C. Chen & Hsieh, 2009). Electronic
governance can be seen as an advanced stage of e-government (Garson, 2006, p.23; United
Nations, 2008). By removing organizational barriers, governments can be transformed into
citizen-centric enterprises. This approach would emphasize connectedness (government-as-a-
whole approach) as the foundation for strategic use of ICTs (United Nations, 2008, xv). The
focus would be on government and integration of government systems and knowledge to
improve efficiency and effectiveness of public services.
Online civic engagement is the other main dimension of e-governance. Holzer and
colleagues (Holzer et al., 2008) define electronic governance as the embodiment of both digital
government and digital democracy. Digital democracy is reflected in government’s effort in
providing online civic engagement options, including online decision-making and online surveys
(Carrizales, Holzer, & Manoharan, 2008). The United Nations 2008 E-government survey defines
online civic engagement as e-participation (including, e-information, e-consultation, and e-
decision-making, (United Nations, 2008, pp. 17-18)).
Here, the conceptualization of e-governance focuses on the concept of public
administrator interests, such as guiding public values, identifying focus, mode of activities, main
organizational driver(s), structure of organization, and technology. The notion of e-governance
can be best understood by distinguishing between e-government and e-governance. These
distinctions should be treated as a matter of emphasis. Below, Table 1 is a summary of the
comparison between e-government and e-governance.
[Insert Table 1 Here]
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In terms of public values, e-government places more emphasis on efficiency and
effectiveness in the production and provision of information and services both online and off-
line. In contrast, e-governance places more emphasis on citizen participation and transparency.
Citizen participation and transparency are regarded as cornerstones of democratic governance.
It is held that transparency of government actions provides the foundation for meaningful
citizen participation in public governance. E-government focuses more on services: providing
public information and services. Electronic filing of tax returns, a critical public service function
that interfaces directly with citizens, is an example. With regards to focus, electronic
governance covers both services and processes, with the latter primarily defined as how public
policy and service decisions are made. For example, government can set up an electronic forum
as a means to consult with citizens on public service priorities.
The primary supplemental emphasis in e-governance, as compared to e-government,
with regard to activities is interaction. The interaction provided by e-governance is built on e-
government’s integration of horizontal (inter-agency cooperation) and vertical (inter-
governmental) dimensions. E-government integration happens inside government and takes
government-as-a-whole approach. E-governance, on the other hand, places more emphasis on
solving public issues by means of inter-sectoral interactions that involve governments, non-
profit (professional) organizations, and businesses. Interaction between government and
citizens via online civic engagement is another feature of interactivity embodied in e-
governance. A recent example of such interaction is the Ideascale project which lets citizens
suggest innovative policy ideas and let them vote on them online, using the interactive features
of a social networking site. Government agencies then respond and implement some of the
best ideas.
The main driver of e-government is government itself. By contrast, e-governance
centers on collaborative enterprises that bring government, businesses, non-profit
organizations, and citizenry together. This emphasis on collaboration and shared ownership is
consistent with the notion of public services that seeks to solve increasingly complex public
problems by calling for engagement of organizations and people from all sectors of society. The
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development of technical data standards for standard business reporting in Australia has high
level support from a host of sectors: businesses, professional (accounting) organizations, and
various government agencies. They all help to determine the standards and how the standards
are to be implemented, which, of course, benefits the entire economy (Y.-C. Chen, 2010b).
Collaboration can be also seen in education in the United States. Non-profit organizations,
school districts, and businesses often work with the Department of Education to develop
strategic plans and identify best practices.
E-governance is gradually shifting away from the traditional hierarchical (top-down)
public decision-making process and service provision. Traditionally, government has been the
main producer of public services as well as the primary service delivery unit. The gradual shift to
increased utilization of businesses and nonprofit organizations for service production and
delivery has been evident in many Western democracies (e.g. (Gray, Jenkins, Leeuw, & Mayne,
2003; H. B. Milward & Provan, 2000). E-governance centers more on a heterarchical way of
public service production and delivery as well as engagement. For example, non-profit
organizations can lead disaster relief efforts with citizen grass-root involvement, as well as
coordination with government agencies and businesses for resources. Such a scenario does not
involve a clear center of authority and activities are organized with multiple centers. In such a
case, ICTs play a critical role in assisting with coordination and monitoring.
The technological emphasis of e-governance depends on Web 2.0, which meshes well
with its focus, mode of activities and structure. Web 2.0 technology applications include RSS
feed, video sharing, social networking, wiki, and “mash-ups”, among other. Web 2.0 allows for a
high level of interactivity, not only between government and citizens, but also among citizens
and with other non-governmental organizations (Chang & Kannan, 2008). Government websites
which merely provide information and services are forms of one-way communication, moving
from government to citizens; this is considered Web 1.0. Another feature of Web 2.0 is the
emphasis on user generated content and leverage of collective knowledge. These features offer
new and fresh ways for citizens and other groups to engage government.
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Institutions, Collaboration, Civic Engagement, and Information and Communication Technologies (ICTs)
Proceeding with a conceptualization of e-governance requires a review of the following
relevant bodies of literature. The first body of literature under review is institutionalism and its
varieties. Institutions, including social norms, political culture, and laws, play a critical role in
understanding differences in e-governance performance across different countries. Moreover,
a good understanding of institutional context will guide strategic choice. The next body of
literature under review is research on information technology within the context of public
administration, with a focus on interorganizational information systems that align better with
both integration and interaction seen in e-governance. This research literature can provide
insights into the role that ICTs play in moderating or mediating institutional and organizational
contexts.
Research on collaborative public management is also a relevant here. Collaborative
public management speaks to collaboration and interactivity, both of which are involved in e-
governance. Moreover, collaborative management takes a normative stance in having a strong
element of citizen participation in collaborative governance (O'Leary & Bingham, 2009). Such a
stance is consistent with the values of transparency and citizen participation subscribed by e-
governance. Furthermore, research on online civic engagement is another emerging area of
scholarship that informs the study of e-governance. This research builds on the civic
engagement literature while examining the role that ICTs can play. Below, the discussion will
provide brief synopses of the main assertions made by each body of literature on the role of
ICTs in e-governance.
Institutionalism
Institutions play an important role in shaping the range of strategic uses ICTs can offer in
improving integration and interaction. One institutional mechanism is the constraints set by the
legacy of political, economic, cultural, and policy forces as articulated by historical
institutionalism (Hall & Taylor, 1996). Available policy options serve as conditions; this is
because of the very nature of an administrative system. For example, a centralized
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administrative system presents a greater set of challenges for the adoption of an ICT that
features decentralized decision-making. Moreover, Welch and Wong (2001) in their global
empirical analysis, have suggested that civil service systems mediate the global pressure of
information technology bearing on increasing openness and accountability. A comparative
analysis also points toward the conditioning effect of these institutional factors on the
advancement of e-government (Y.-C. Chen & Hsieh, 2009).
Another insight from the studies of institutionalism, particularly as seen in the work of
Ostrom and colleagues (e.g. (Ostrom, Gardner, & Walker, 1994)), is the notion that there is
relative difficulty in changing an existing institutional context, because, according to the
Institutional Analysis and Development (IAD) Framework, constitution-level rules are most
difficult to change; they embody well-established values, beliefs, and norms of behavior.
Collective-action level rules are easier to modify than constitution-level rules, but still changing
them pose challenges because vested interests are embedded in these rules. Similarly,
operational-level rules are easier to modify than collective-action level rules because the
former are usually technical in nature; these rules capture the implementation scheme that the
interested bodies have already agreed on. Thus, by extension, an investigation into the
likelihood of ICTs improving e-governance performance should examine the particular level of
rules that such implementation is going to alter. This research strategy would shed light on
Heeks’ (1999) notion of concept-reality gap in using information technology for administrative
reform.
Social institutionalism draws our attention to broader social processes and the logic of
social appropriateness. Social processes can exert the force of isomorphism, which acts to bring
the practices of organizations into conformity with those of society. Social appropriateness can
drive organizational decisions as organizations search for legitimacy. By extension, these
processes and such logic can help explain ICT adoption decisions. A recent study of e-
government adoption suggests the importance of external influences and the search for
legitimacy (Jun & Weare, 2010).
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The studies of institutions also suggest the role of technology in solving collective action
problems. Rational institutionalism, as conceptualized by Hall and Taylor (1996), identifies
institutional coordination and communication as potential sources of difficulties in solving
collective action problems. Thus, it is appropriate to examine how the use of ICTs can address
coordination and communication to overcome collective action problems. Moreover, a larger
point is the need to understand the physical environment in analyzing the institutional context
(Ostrom et al., 1994). Here, a parallel to e-governance is found in the need to understand the
basic technical infrastructure, such as the internet penetration rate of a certain area or
community.
Interorganizational Information Systems for Government
One important insight of this literature points toward the centrality of context,
specifically the larger social, political, economic, organizational, and technological factors.
Pardo and Tayi (2007), in a study of information integration, have shed light on the importance
of examining the policy and social environment, interorganizational setting, and
organizational/business processes when trying to identify a technology solution. Based on a
study of e-government information system integration projects in the Netherlands, Bekkers
(2009) identifies multiple rationalities, including those in the political, legal, and economic
realms. Furthermore, a legal mandate can be an important driving force in the effort at
overcoming organizational barriers to interorganizational collaboration (Dawes, Cresswell, &
Pardo, 2009). This is particularly the case when each organization has its own set of rules and
procedures. These, according to Scholl and Klischewski, can be seen as jurisdictional constraints
(Scholl & Klischewski, 2007).
Mapping interdependence is important in the design and implementation of ICTs within
an interorganizational setting (Bekkers, 2007). The level and type of resource dependence are
likely to structure the relationships and interaction among organizational players (Pfeffer &
Salancik, 2003). Specifically, interorganizational information systems require careful mapping of
the flow of information and the actions that will be taken on the information (Barrett &
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Konsynski, 1982). As organizations see a stake in the interorganizational system, perceived
interdependence will also begin to drive participation.
The level of complexity is an important consideration when designing and implementing
an interorganizational information system designed for public management and administration.
As a general rule, complexity tends to grow with any increase in the number of organizations
and sectors involved (Gil-Garcia, Schneider, Pardo, & Cresswell, 2005). Complexity is also a
function of technical uncertainty (Bekkers, 2007). A cutting-edge information technology
project for electronic governance is more complex not only in terms of technical difficulty, but
also in terms of political difficulty; there will be difficulty in reaching consensus, especially in the
face of uncertainty about project success. Moreover, complexity arises from the nature of the
information that flows through the interorganizational information system. Information with
elevated privacy and security is likely to make system implementation more complex (Hu &
Tzeng, 2009).
The success of interorganizational information systems in the public sector is also likely
to depend on executive support and management capacity. Studies of customer relationship
management systems and enterprise resource planning systems in the private sector have
shown that executive support is critical for successful implementation of inter-departmental
information systems (Gattiker & Goodhue, 2005; Kerimoglu, Basoglu, & Daim, 2008). Executive
support can overcome likely resistance coming from different units by cultivating shared
understanding and goals (Lawless & Moore, 1989). In the case of integrated citizen service
information systems, top management’s articulation of the service orientation can help the
integration of systems and procedures from various local government departments (Y.-C. Chen,
2010a).
Collaborative Public Management
The literature on collaborative public management underscores the fact that to
understand how success is attained in the interorganizational setting, both structures (i.e.
(Moynihan, 2009)) and processes (i.e. (Thomson & Perry, 2006)) need to be understood. Several
structural characteristics and processes are favorable to interorganizational collaboration. First,
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a recognition of interdependence by participating organizations helps create the need for
collaboration (D. Wood & Gray, 1991). Second, a good level of goal congruency is favorable
(Percival, 2009). Goal congruency helps expand the base for support for interorganizational
efforts because it creates alignment between single organization interests and collective
interest. Another favorable condition is less contestation in authority (Moynihan, 2009).
Otherwise, such contestation would cause friction among organizations and take resources
away from implementation. A productive interorganizational process for collaboration is the
building of interorganizational trust as found in the studies of service delivery networks (B.
Chen, 2008).
This literature also offers several management strategies and needed management
capacities for successful interorganizational collaborations in public service. One approach is to
develop a fitting management strategy to address a unique combination of structural
characteristics such as level of trust and organizational competency (K. Provan & Kenis, 2008)
(H. B. Milward & Provan, 2006). This strategy may focus on a sequential way of managing
tension among organizations (K. Provan & Kenis, 2008). Another important management
strategy requires understanding different values of organizations in various sectors and the
resultant tensions as an increasing number of collaboration is intersectoral (Berry & Brower,
2005; Bryson, Crosby, & Stone, 2006; Herranz, 2008). The issues of politics and control should
be central in the formulation of a management strategy for interorganizational networks (B.
Milward, Kenis, & Raab, 2006; Rethemeyer, 2007a, 2007b) as power and legitimacy are critical
(Choi & Kim, 2007).
Collaborative public management also requires a set of management competencies to
be successful (Hicklin, O'Toole, & Meier, 2008; McGuire & Silvia, 2010). Competencies in
managerial networking include building support for public programs in an interdependent
setting and getting relevant individuals and organizations involved (L. J. O'Toole, Walker, Meier,
& Boyne, 2007). Specific managerial networking activities might involve activating, framing,
mobilizing, and synthesizing (McGuire, 2002). A critical networking skill is conflict resolution, as
conflicts are an inherent part of interorganizational collaboration (O'Leary & Bingham, 2009).
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Managing collaboration performance is another critical ability. Network managers need to be
aware of the multidimensional nature of success in collaboration (B. Chen, 2008; O'Leary &
Bingham, 2009). Performance should be seen as multilevel (organization/individual, network,
and community), especially because tension can arise at different levels (K. G. Provan &
Milward, 2001).
Online Civic Engagement
The level and scope of online civic engagement can be conceptualized as a function of
both supply of online civic engagement functions and citizen demand and use (Norris, 2001)
(Dimitrova & Chen, 2006). Surveys of local governments in the United States suggest only
limited adoption of online civic engagement for a variety of reasons (Coursey & Norris, 2008;
Scott, 2006). Nevertheless, there is preliminary evidence pointing towards the conditions under
which supply of online civic engagement by government is more likely. For example, managerial
innovativeness is a favorable condition (Moon & Norris, 2005), as is technical capacity (L. Wood,
Bernt, & Ting, 2009). Continued managerial support and involvement is important (Ong &
Wang, 2009), particularly in the form of resource input (L. Wood et al., 2009).
Moreover, institutional support is critical for the supply of online civic engagement
functions. Supportive laws and regulations serve as the legal and institutional foundation for
the establishment of online civic engagement functions, such as e-rulemaking and e-FOIA on
government websites (Y.-C. Chen & Hsieh, 2009). Such institutional support can also take the
form of an executive order. For example, the Obama administration’s Open Government
Initiative focusing on transparency, collaboration, and accountability provides the policy
direction and support for deploying Web 2.0 features on federal government websites.
Transparency can help with trust (E. Welch, Hinnant, & Moon, 2005), which constitutes a
motivation for government to supply e-governance functions.
On the other hand, as stated, demand and use cannot be ignored. This set of factors
includes some basic characteristics of the citizenry, such as access to technology and the
telecommunication infrastructure (United Nations, 2008, 2010), and competency over a specific
channel of communication also matters (Pieterson & Dijk, 2007). For example, a culture that
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values face-to-face communication may see under-utilization of available telecommunication
technology or a preference for a particular communication channel (i.e. mobile phone over
website). Another related factor is civic mindedness; demand is often based on a strong
participatory culture that has an interest in policy-making (Dimitrova & Chen, 2006).
Studies of adoption and use of e-government systems and services have shown that
individuals decide to use an e-governance function because of several factors, namely usability
(Morgeson & Mithas, 2009) and the individual’s perception of self-efficacy (Lee, 2008; Pieterson
& Dijk, 2007). External influence through interpersonal communication also plays a role
(Dimitrova & Chen, 2006). Finally, all these factors are also related to the question of privacy
and security, which empirical studies have suggested is of central important to e-government
adoption decisions (Quinn & Ramasubramanian, 2007).
In sum, the research literature reviewed here point toward the following critical lessons.
First, context matters when deciding whether to implement a particular function of e-
governance. Context includes a collection of political/policy, cultural, institutional/legal,
organizational, and technical factors. Second, the manager’s strategic choice can potentially
influence e-governance performance. A fitting strategy that takes into account the contextual
factors is productive. However, with regard to the purpose of this paper, two core issues
remain to be addressed. First, the manner in which these contextual factors influence e-
governance performance at the national level has not been fully delineated. Second, the impact
of strategic choices made by public managers on e-governance performance in a particular
context has not been sufficiently explored. Below, in the following section, a conceptual
framework will be developed and research propositions to guide empirical investigation will be
offered.
A Conceptual Framework for Comparative E-Governance Research
The primary unit of analysis is nations or autonomous administrative systems. The
rationale for this unit of analysis is that integration and interaction involved in e-governance
include all levels of government and all three sectors of a society. The encompassing nature of
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e-governance requires that “nation” be used as the unit of analysis. Moreover, political
institutions, cultural values, and economic conditions are more distinctive at that level.
The basic assumption for this proposed framework is that the effects of information and
communication technologies (ICTs) should be understood in their institutional, political, social,
organizational, and technical contexts. This assumption is based on the notion of socio-
technical perspective, which has been assumed by most e-government studies, such as the
studies by Fountain (2001) and Pardo and Tayi (2007). More specifically, the combination of
strategic and management choices and the ICTs being deployed play a mediating and
moderating role in the relationships between these contextual factors and performance of e-
governance.
The empirical investigation of e-governance can focus on integration and interaction,
and ultimately the creation of public values. As discussed earlier, for e-governance, integration
can be measured by the combined levels of information system consolidation, whether
vertically or horizontally across the organization, or across various sectors. Interaction is
measured by the combined levels of online interaction among a diverse group of organizations
and individuals as well as between citizens and government in policy-making and public service
production and delivery. The long-term impact of e-governance will be seen in the addition of
value to public services.
Below, Figure 1 depicts various dimensions and factors and the mediating and
moderating role played by the combination of strategic choice and technology enactment. The
discussion of each dimension will focus on the effects on strategic choice and technology
enactment as well as on e-governance performance. The statements on strategic choice and
technology enactment will focus on their mediating and moderating roles on the relationships
between these factors and e-governance performance. References to relevant studies will be
integrated into the discussion, and illustrations and research propositions will also be provided.
[Insert Figure 1 Here]
Political Dimension
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The character of a political system will likely shape the level of open interaction
between government and other non-governmental actors, and such interactions will likely
occur online, provided that the technical infrastructure is in place. A pluralistic political system,
such as those of the United States and Britain, encourages competition among political and
policy ideas. In a modern society, such interactions are openly accessible via media. As more
and more media content move online, political and policy debates and exchanges will become
even more open. Such a political system also provides to non-governmental actors a legitimate
role to play in policy debates. Advocacy/interest groups with a particular policy agenda can
directly engage government and citizens to advance their agenda. In contrast, a totalitarian
political system such as the one in North Korea would not allow any such open debates on
public policies and the interactions between government and non-governmental actors would
be tightly controlled and concealed from citizens. The media is usually tightly controlled and
even more so the internet, as it is regarded as the gateway to outside influence and the open
market of ideas. Thus, in such a scenario, open interaction is rarely available and even more
difficult online.
A participatory political culture would help promote interaction between government
and citizens as well as other intermediate groups. Such a culture promotes grass root activities
to advance a policy idea, which would coincide with the Web 2.0 premise of placing individuals
(users) at the center of activities. Political blogs, online video clips, and other user (citizen)
generated content is produced through such grass root activities. Internet technologies and
online platforms such as Wordpress and Wikipedia make publishing and reaching out to a mass
audience easy and affordable. Such a culture gives government the opportunity to be perceived
as able to facilitate meaningful participation. When coupled with ICTs, a participatory political
culture is likely to foster the formation of online communities as well as the promotion of
interaction among citizens, governmental units, and other stakeholders in society. Thus, in sum,
the discussion above suggests two research propositions:
R1a: A more pluralistic political system with a participatory political culture is more likely to have more enactment of participatory and social network technologies via strategic choice and leadership.
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R1b: A more pluralistic political system with a participatory political culture is more likely to have a higher level of e-governance performance.
Administrative Dimension
The degree of centralization in administrative systems is likely to affect the level of
integration of governmental information systems both vertically and horizontally. This
integration of governmental systems speaks to the integration aspect of e-governance inside
government. An administrative system that is highly centralized usually builds on rules and
procedures with a single-point top-down command and control structure. The logic of
centralization is consistent with the establishment of a highly integrated government
information system that spans levels of government and jurisdictions. As a result, it does not
involve a major system change that requires modifying institutional arrangements at the
collective action or constitutional level (Ostrom et al., 1994). For example, the development
and implementation of a single and integrated information system for tracking residence
information in China (a centralized administrative system) would likely face less resistance
compared to a similar project that might be implemented in the United States (a federal
system).
With regard to an IT governance structure serving as a part of the administrative
system, such a scenario would provide the information technology office with needed authority
for government-wide initiatives; this in turn would likely promote integration. An example of
such authority would be elevating the Chief Information Officer to a cabinet level position.
Traditionally, information technology is treated as a unit under a department that does not
allow for any enterprise-level coordination and decision-making. An effective IT governance
structure is enterprise-wide, strategic, and transparent and accountable (Weill & Ross, 2004).
Another aspect of the administrative system is the government’s role in service
production and delivery. A high degree of involvement on the part of non-state actors would
promote integration between government and non-governmental organizations. A trend seen
over the past twenty years in some Western administrative systems is the increasing reliance
on non-profit organizations and businesses in public service production and delivery (Salamon,
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2002). Through grants, contracts, partnership, and other policy instruments, governments are
shifting the locus of public service production--such as human services--to non-profit
organizations and businesses (Rethemeyer, 2009). Even in national defense, the United States is
employing civilian contractors to carry out a significant portion of military services. Moreover,
these services are increasingly conducted as collaborative networks of organizations and
individuals. Such networked public service production and delivery require a higher level of
integration and interaction cross sectors. The use of ICTs would facilitate information exchange
and coordination (Fedorowicz, Gogan, & Williams, 2006).
Since the government’s role in service production and delivery is related to intersectoral
integration and interaction, two sets of research propositions can be offered:
R2-1a: A centralized administrative system with a cabinet-level IT governance structure is more likely to have more enactment of integrative ICTs via strategic choice. R2-1b: A centralized administrative system with a cabinet-level IT governance structure is more likely to have a high level of vertical and horizontal e-governance integration inside government. R2-2a: A high level of reliance on non-governmental organizations for the production and delivery of public services is associated with strategic preference and enactment of ICTs integrating organizations cross sectors. R2-2b: A high level of reliance on non-governmental organizations for the production and delivery of public services is associated with a high level of e-governance integration cross sectors.
Legal Dimension
Meaningful interaction between government and citizens on public policy issues
requires both making policy related information available to citizens and providing mechanisms
for citizens to participate in the policy-making process. Therefore, meaningful online
interactions would require laws and regulations in both areas. For example, the United States,
as a leader in e-participation as ranked by the United Nations (United Nations, 2008), has
enacted the Freedom of Information Act (FOIA), which allows citizens to request information
from government. E-FOIA goes one step further, covering information in electronic format. In
terms of citizen participation, the U.S. Administrative Procedure Act stipulates that a “notice
and comment” period be held as a part of the proposal of a regulation. The entire rulemaking
19
process is online, and it is usually referred to as e-rulemaking. This online process offers an
organized way for citizens to participate in the rule-making process.
Having laws and regulations that make government information available to the public
is usually regarded as a major milestone. For example, India adopted its Right to Information
Act in 2005 and China adopted the Open Government Information regulation in 2007.
Nevertheless, there should exist a mechanism by which citizens can forward public policy input,
to complete the two-way interaction. Therefore, we propose:
R3a: A strong legal support for citizen access to government information and citizen participation in policy-making is positively associated with enactment of ICTs for government-citizen interaction. R3b: A strong legal support for citizen access to government information and citizen participation in policy-making is positively associated with a higher level of e-governance performance in the area of interaction.
Economic Dimension
E-governance performance and the enactment of e-governance technologies is also a
function of a nation’s economy. The economic prosperity of a nation would determine in part
whether government or citizens have sufficient purchasing power to acquire information and
communication technologies. This is a central reason for the low internet penetration and
limited use of mobile devices in many African countries. In addition to a nation’s total GDP, the
size of its middle class is also likely related to the level of e-governance. The larger the middle
class, the larger the number of citizens that would be in the position to purchase and use ICTs.
Such use would likely drive the development of e-government, which usually follows the trend
of e-commerce. Thus, several studies have pointed to income as an important factor in
determining whether an individual gets online (Mossberger, Tolbert, & Stansbury, 2003; Norris,
2001).
The extent to which a country’s economic prosperity depends on the production and
use of ICTs is likely to be related to e-governance. The growth of South Korea’s economy is
driven in part by its electronics and information technology industry. Based on reports of the
World Economic Forum, the strategic importance of information technology in economic
growth and the availability of affordable devices are reasons for South Korea’s high ranking in
20
e-government. Similarly, the ICT industry also has played a critical role in the growth of the U.S.
economy. This strategic importance and availability also in part explain the extensive use of ICTs
by citizens and organizations in all three sectors of society. Taking these considerations
together, we propose:
R4a: A nation with a higher level of economic prosperity, larger middle class, and greater reliance on information technology for economic growth is more likely to have more strategic enactment of e-governance technologies. R4b: A nation with a higher level of economic prosperity, larger middle class, and greater reliance on information technology for economic growth is more likely to have better e-governance performance both in terms of integration and interaction.
Social Dimension
Social capital can provide the foundation for stronger civic engagement (Skocpol &
Fiorina, 1999). Social capital can facilitate coordination and cooperation to promote the mutual
interests of participants. These cooperative social interactions are likely to lead to social trust,
which promotes individual participation in civil associations and political societies. By extension,
virtual social interactions can lay the foundation for e-governance. People use online tools to
facilitate social interactions—both online and offline—to enhance cooperation and
coordination, to advance mutual interests. The use of Twitter in Iran’s election and the
establishment of sites that allow users to post video clips of natural disasters are two of many
examples.
Professional social networks, defined here as professional social capital, are important
in public policy making and public services. Professional associations usually focus on a
particular policy area, and this allows for cooperation and coordination as well as mobilization
with regard to governance issues. Professional networks can help collaboration across
organizational boundaries and levels of government. For example, a criminal justice information
system relies on shared goals and professional values to promote integration and interaction
among criminal justice professionals. The formation of such professional social capital can take
place online as virtual communities of practices. In fact, some wikis have grown out of the need
for such professional networks to share knowledge.
21
For the purpose of comparative research, two nuances of the social dimension need
further exploration. A society may have a social norm that pays deference to public officials as
authority figures. Such a social norm might prevent citizens from directly interacting with
government either offline or online. Second, socially preferred channels of interactions within a
particular society may place a premium on face-to-face social interactions, for example, and
this would dampen the growth of online social capital, even if there were to be a significant
stock of social capital accumulated offline. Considering these factors, these propositions are
offered:
R5a: A large stock of social capital for citizens as well as professionals is positively associated with more enactment of e-governance technologies. R5b: A large stock of social capital for citizens as well as professionals is positively associated with a higher level of e-governance performance in both integration and interaction.
Technical Infrastructure Dimension
Technical infrastructure refers to telecommunication infrastructures both for society as
a whole and for government services. Two standard measures of infrastructure maturity have
been the penetration rates of internet usage and mobile phone usage. Additionally, because
online content and traffic have become more data intensive, an increasingly important measure
of infrastructure is the size and availability of broadband networks. This presents an added
dimension of the “digital divide” separating those who have broadband access and those who
do not. In the United States, the Obama administration’s rural broadband initiative is aimed at
bridging this divide.
The maturity of the telecommunication infrastructure can also be measured by the
extent of virtual interactions among governmental units. The telecommunication infrastructure
(i.e. fiber optics) is sometimes referred to as the “backbone” of governmental networks. The
ability to connect to various main governmental office buildings and provide sufficient
bandwidth is a measure of such maturity. For example, Britain’s national fiber optic
telecommunication infrastructure established for its National Health Services provides
sufficient bandwidth for health information in digital networks.
22
Moreover, defining technical infrastructure must also consider the national availability
and use of network technologies (Web 2.0 in particular). A mature technical infrastructure, by
definition, would be characterized by organizations and individuals in all sectors of society
having access to network technologies. The development of Web 2.0 technologies in the United
States has made online participation and collaboration easy and relatively affordable. The
development of innovative products, such as i-Phones and i-Pads, is another sign of maturity.
Taken together, these points suggest the following research propositions:
R6a: A mature technical infrastructure is positively associated with a higher degree of e-governance technology enactment via strategic choices. R6b: A mature technical infrastructure is positively associated with a higher degree of e-governance performance in terms of both integration and interaction.
Strategic Choice and Leadership
Strategic choice and leadership are critical elements in the proposed conceptual
framework for comparative e-governance research. These elements address the specific
managerial and leadership strategies that public managers and administrators can deploy to
enhance e-governance. Thus, this section develops research propositions by further integrating
insights from various bodies of literature with regard to the various dimensions identified
above. These strategies, once empirically verified, can inform both the theory and practice of e-
governance for national governments.
A productive first step in developing a strategy requires careful assessment of the
various dimensions identified above. Each country has a unique profile with regard to the
specific political, social, legal, administrative, economic, and technical infrastructure factors
that have been outlined. A country profile can identify opportunities and challenges in
improving e-governance performance. For example, after a careful analysis, a country may
discover that its main obstacle to the interaction dimension of e-governance may be its lack of a
participatory political culture, rather than, for example, limited social capital. A thorough
analysis of each dimension will generate a clear profile, which in turn can serve as the basis for
developing effective strategies appropriate to specific social, cultural, political, and national
contexts.
23
The second step in developing a strategy requires a feasibility analysis. Consonant with
Provan and Kenis’ (2008) argument concerning national implementation, a fitting strategy
would address the main challenges identified during an overview of the various dimensions
mentioned above. For example, a federalist administrative system requires a strategy for
dealing with coordination complexity. Complexity grows with any increase in the number of
joint decisions required in implementation (Pressman & Wildavsky, 1984) and with any increase
in the degree of interdependence involved (Ito & Peterson, 1986). Moreover, an optimal
strategy also needs to attend to any alterations in the distribution of costs and benefits and the
various political implications arising therein. Thus, one of the challenges associated with
information sharing in integration and interaction projects is bureaucratic politics (Bekkers,
2009; Lawless & Moore, 1989; L. O'Toole, 1997). Finally, an optimal strategy needs to be based
on a clear understanding of the extent of change. If the change sought for integration and
interaction requires change at the constitutional level, as conceptualized by Ostrom and
colleagues (Ostrom et al., 1994), an appropriate strategy may require broad administrative and
political reform efforts to lay the institutional and political foundation for e-governance.
Building and committing required management capacities and resources is an important
component of an overall strategy. These capacities and resources help overcome the challenges
identified in various dimensions in order to realize the objectives of e-governance. The concept
of management capacities includes management of technical ICT resources, contracts, and
projects. IT contract management and project management are critical management capacities
for government employees, because these employees usually rely on IT service providers for
the design and implementation of complex IT projects. Moreover, the ability to manage a
network of organizations for the production and delivery of public services is particularly
relevant in e-governance. Managerial activities, such as activating, mobilizing, and framing,
should help articulate interdependence, improve goal congruency, reduce contestation of
authority, and build trust for collaboration.
As mentioned previously in the review of the collaborative management literature,
conflict resolution skills are also important (O'Leary & Bingham, 2009). Skillful conflict
24
resolution can help build interorganizational trust and thus foster collaboration and integration
of business processes and systems. Moreover, the capacity to manage relationships with
citizens in their online interaction with government helps with virtual interaction and trust
building. The ability to structure online interaction to allow informed deliberation and
collaboration is important (Holzer, Melitski, Rho, & Schwester, 2004).
Adapting to changing goals and conditions while delivering best value should be a part
of the overall strategy. High level integration and interaction e-governance projects usually take
several years to complete. For example, building technical standards for data interoperability in
business reporting in the Netherlands took several years (Y.-C. Chen, 2010b). Changing political
and economic realities may shift government resources away from e-governance projects. A
skilled manager and leader must be able to work within that constraint and still be able to
deliver the best public value, even if this may involve, for example, shifting to relying more on
non-profit and non-governmental resources.
Promoting and leveraging innovations is another component of a productive strategy for
e-governance. Technical innovation would help address basic information, coordination, and
decision-making challenges. For example, advancements in blog mining (automation of the
mining for causal relationships in millions of postings and comments) can assist with basic
information management, especially in view of the sheer amount of information generated in
virtual interactions. Innovations in collaborative ICTs can reduce the cost of coordination.
Innovations in Web 3.0 technologies, such as software for XBRL, would empower citizens with
affordable tools, giving them the ability to conduct sophisticated analysis of public information
and become productive members in virtual interactions.
Moreover, managerial innovation would also assist in e-governance. Managerial
innovation may involve, for example, adopting a new mindset or finding synergy between e-
governance integration and interaction. A new mindset, for example, can be the orientation
towards enhancing and increasing citizen-centric virtual government. Such a mindset would
support and exemplify government information sharing and system integration. There are
opportunities to increase both integration and interaction simultaneously. One way involves
25
providing government information service agents who are able to offer on-demand
government services within a structured process of gathering public policy input.
Implementing a productive management and leadership strategy with the components
described above constitutes a high-level strategic choice and leadership agenda. Considering
these factors, the following research propositions capture the relationships indicated in Figure
1.
R7a: High-level strategic choice and leadership is likely to positively moderate the relationships between various dimensions and e-governance performance. R7b: High-level strategic choice and leadership is positively associated with a higher level of e-governance performance. R7c: High-level strategic choice and leadership is positively associated with a higher level of e-governance technology enactment.
Technology Enactment
Enactment of e-governance technologies is usually the result of direct influence of the
various dimensions identified in the framework or shaped by strategic choices. There is a
distinction between technology enactment and e-governance performance which should be
noted. Technology enactment is concerned more with design and implementation of relevant
ICT projects, whereas e-governance is concerned more with actual use. For example,
establishing an online social networking forum to gather innovative ideas about various policy
problems is considered technology enactment. By contrast, the actual number of citizens
participating and ideas generated would be a measure of e-governance performance.
Technology enactment can be directly influenced by the various dimensions identified
above. For example, an authoritarian political system would enact ICTs that enhance central
control. This would assist in the integration of systems across levels of government, but reduce
potential interaction between citizens and government. The provision of e-governance
functions on government websites is considered technology enactment. Specific measures can
be found in studies of e-government and e-governance (e.g. (E. W. Welch, Moon, & Wong,
2006; West, 2005)). Such provisions may result from combining a mature IT industry and
technical infrastructure.
26
Strategic choice and leadership can influence the specific technology enacted. For
example, the U.S. federal government has made a conscious decision to develop information
standards for government data to facilitate the “mash-up” of government information. This
would deliver better information and services. Management and leadership are particularly
relevant to successful IT project implementation, especially because IT projects usually have a
high failure rate (Yardley, 2002).
The characteristics of information and information technology adopted have
implications for e-governance performance. The nature and flow of information inform
organizational interdependence and dynamics (Barrett & Konsynski, 1982). Empirical evidence
has suggested that the use of network technologies does not necessarily have a democratic
effect, contrary to what most people would argue (Rethemeyer, 2007a). The adoption of an
information system that further consolidates central control will hamper interaction sought in
e-governance. On the other hand, the adoption of open standards is a positive force in
encouraging a wider participation by non-profit organizations and citizens. Research
propositions below capture all three relationships discussed above.
R8a: The level of e-governance integration and interaction technologies adopted is associated with the preferences of various factors over integration and interaction. R8b: The level of e-governance integration and interaction technologies adopted is positively associated with a high-level strategic choice and leadership. R8c: The level of e-governance integration and interaction technologies adopted is positively associated with a high-level e-governance performance.
Research Agenda and Conclusion
The conceptual framework discussed above offers research propositions to guide the
development of a research agenda based on empirical investigation and theory building. A
productive research agenda has three complementary components. First, there is a need to
conduct large-scale comprehensive analysis to test research propositions using a country
(autonomous region) as the unit of analysis. Such large scale analysis should include a large
number of countries, with a scoring standard for each of the political, social, legal, economic,
administrative, and technical infrastructure dimensions over a course of several years. It will
27
create a large enough panel of data to examine the relationships between various contextual
factors and e-governance performance measures. Attention should be given to the creation and
fine-tuning of indicators for various contextual dimensions, technology enactment, and e-
governance performance.
Second, a productive research agenda would incorporate an in-depth comparative case
analysis, with country as the unit of analysis. The case analysis would be used to explore each
instance of strategic decision-making in its context. Yin’s (2003) case study research design is a
useful guide. The primary goal of the case study is to explore the role of strategic choice and
leadership in moderating or mediating the influence of these dimensions over e-governance
performance. Tracing major events in the history of e-government and e-governance will help
isolate the influence of a particular factor such as open government laws. The study of multiple
cases while focusing on the existence and absence of key strategic components would shed
light on their degree of relevance. Pattern matching, explanation building, and cross-case
syntheses as recommended by Yin (2003) would be used. Moreover, a variable-driven analysis
for comparative case studies as suggested by Ragin (1987) will be useful for isolating the impact
of a strategy.
Third, and finally, a productive research agenda would incorporate a sub-national
comparison. The goal of this component is to control for contextual factors while examining the
relationships between characteristics of technology being enacted, strategic choice, and e-
governance outcome. Moreover, sub-national comparisons can focus on e-governance projects
that have similar technologies and goals. For example, a comparison of the use of Web 2.0 for
generating policy ideas, across multiple countries, can generate insights into the role of
interactive functional features in e-governance across various contexts.
This paper is a preliminary attempt to develop a framework for the study of electronic
governance. Its first contribution is to argue for a distinction between e-government and e-
governance in order to keep pace with recent developments in Web 2.0. Moreover, this paper
begins to delineate the relevant contextual factors that influence e-governance performance by
28
offering specific research propositions. Finally, it sheds light on the role of strategic choice and
leadership in e-governance within an array of broader and diverse contextual factors.
29
Political dimension Administrative dimension
Tech Infrastructure Dimension
Legal dimension
Social dimension
Economic dimension Technology Enacted
E-governance: • Integration • Interaction
Strategic Choice and leadership
Table 1. Comparison between E-Government and E-Governance E-government E-governance Values Efficiency, Effectiveness, Service
quality Efficiency, Effectiveness, service quality plus citizen participation and transparency
Focus Service Service plus process
Mode of Activities
Integration -horizontal service integration (inter-agency cooperation) -vertical service integration (inter-governmental cooperation)
Integration plus Interaction -inter-sectoral collaboration -citizen engagement/participation
Main driver(s) Government Government plus businesses, citizens, non-profit organizations
Structure Hierarchy Heterarchy Technology Web 1.0 Web 2.0
Figure 1. A Conceptual Framework for Comparative E-Governance Research
30
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Publications, Inc.
A Conceptual Framework for Comparative E-Governance Research*IntroductionElectronic GovernanceInstitutions, Collaboration, Civic Engagement, and Information and Communication Technologies (ICTs)InstitutionalismInterorganizational Information Systems for GovernmentCollaborative Public ManagementOnline Civic Engagement
A Conceptual Framework for Comparative E-Governance ResearchPolitical DimensionAdministrative DimensionLegal DimensionEconomic DimensionSocial DimensionTechnical Infrastructure DimensionStrategic Choice and LeadershipTechnology Enactment
Research Agenda and ConclusionReferences