icegov2012 proceedings
icegov2012 proceedings
icegov2012 proceedings
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continuum in which individuals must gain additional access and<br />
skills to take advantage of new opportunities afforded by<br />
technology. Schradie’s [22] work confirms, however, that<br />
disparities may persist even once groups are online. In looking at<br />
who produces content (i.e., the opposite of passive information<br />
consumption), she finds that only one-fifth of people actually<br />
contribute online, and that they tend to be those with higher<br />
educational levels. In fact, people are four times more likely to<br />
produce content yesterday if they have a college level education<br />
versus a high school degree [22]. Importantly, the digital divide is<br />
not a static problem but, instead, constantly evolves and amplifies.<br />
Technology-based initiatives can reinforce existing inequities if<br />
not implemented strategically and if larger social and economic<br />
forces are overlooked [11]. As quickly as technology changes, so,<br />
too, does the digital divide, constraining not only individuals but<br />
entire communities and geographic regions.<br />
Hilbert [9] suggests a lack of understanding of the<br />
digital divide may result ineffective and wasted efforts. He posits<br />
that interpretations of the divide are as diverse as the impacts<br />
organizations seek and encourages the development of a larger<br />
framework for comparing and contrasting definitions. Definitions<br />
of the digital divide may vary depending on organizations’ views<br />
of who is affected (e.g., individuals, communities), their<br />
characteristics (e.g., income, age), the level of digital<br />
sophistication (e.g., basic access or effective adoption) and the<br />
type of technology (e.g., mobile, computers) [9]. In effect, with<br />
various definitions of the digital divide possible, one organization<br />
may believe the divide is shrinking while another may view it as<br />
widening [9].<br />
Lastly, it is important to briefly note Goldfinch’s [5]<br />
work which demonstrates varying interpretations of e-government<br />
based upon the position and knowledge of government<br />
employees. Goldfinch [5] employs agency theory to explore why<br />
certain principals and actors approach e-government differently<br />
and how these diverse outlooks, approaches and understandings<br />
can undermine the effectiveness of efforts. For example, managers<br />
tend to take an entrepreneurial approach to technology and are<br />
more heavily influenced by bureaucratic structures, while IT<br />
professionals tend to focus on the technology itself absent the<br />
larger contexts and strategies [5].<br />
3.2. Understanding users of e-government<br />
Once government administrators understand the<br />
connections and disconnects among their conceptions of egovernment,<br />
technology and the digital divide, they must then<br />
commit to understanding users. A user-centric approach shifts the<br />
focus to the needs and wants of citizens and allows them to drive<br />
e-government development [26]. According to a report of the<br />
OECD [18], this shift away from technology toward citizens<br />
began in mid-2000’s; however, it is questionable as to what extent<br />
change has actually occurred [1][24].<br />
Understanding the user requires the recognition that<br />
user groups are diverse, not homogenous [8]. Ferro and Molinari<br />
[4] suggest that government tends to categorize users by degrees<br />
of access, skills and motivation, all of which are elements akin to<br />
the digital divide. Without a shared understanding of all<br />
stakeholders’ “interests, perspectives, value dimensions and<br />
benefits,” up-take, or e-government adoption, will be limited [21].<br />
Furthermore, a failure to recognize that many users cannot access<br />
e-government, know how to use e-government or prefer more<br />
traditional communication channels weakens the success of e-<br />
514<br />
government efforts and may prop up a new “e-aristocracy”<br />
marked by elite individuals obtaining greater power [19]. Brewer,<br />
Neubauer and Geiselhart [2] suggest administrators have a<br />
responsibility to actively shape e-government based on<br />
democratic values to narrow gaps between the “information elite”<br />
and the “information poor.” Not addressing this gap may prove<br />
detrimental to goals of efficiency since those who depend on<br />
government the most often have the least access.<br />
3.3 Evaluating demand<br />
Lastly, governments serious about digital inclusion must<br />
commit to measuring demand. Despite the importance of egovernment<br />
assessments, there has been a general lack of<br />
evaluation and measurement [4]. Even at the federal level,<br />
agencies have developed plans and good practices in adherence to<br />
the Open Government Initiative but do not specifically address the<br />
impact of these efforts [12]. In the 2011 ICMA survey [10], 14%<br />
of local governments claim that a lack of demand poses a barrier<br />
to e-government efforts, but there is no indication of how demand<br />
was measured, if at all. An earlier ICMA survey reveals few local<br />
governments surveyed their citizens to better understand demand,<br />
and it appears measurements often fail to assess the complexities<br />
of demand-side factors [23]. Evaluations of the digital divide also<br />
fall short. With broadband adoption data primarily stemming from<br />
non-transparent businesses, knowledge at the local level remains<br />
limited. Today, local governments have a basic understanding of<br />
access and subscription rates but little more, e.g., how people use<br />
technology and for what purposes.<br />
Governments must understand why people use egovernment<br />
as well as why they do not. Given the rate that<br />
technology changes, citizen feedback is especially important to<br />
ensure offerings align with preferences and are utilized [25]. An<br />
absence of feedback loops places the alignment of supply and<br />
demand in jeopardy and threatens government’s ability to adapt as<br />
users’ needs change [25]. Measurements may include evaluations<br />
of user satisfaction, awareness of services, access to technology,<br />
skill levels, trust and preference of communication channels;<br />
further, assessments should move beyond outputs to include<br />
outcomes [25][13]. As budgets constrict government faces<br />
increasing pressure to justify expenditures and demonstrate a<br />
return on investment; therefore, evaluation remains critical to<br />
designing and sustaining e-government efforts [18].<br />
5. CONCLUSION<br />
With little written on the interdependence of egovernment<br />
and the digital divide, and a profound lack of data on<br />
technology adoption and use at the local level, this proposed study<br />
will contribute knowledge about how local governments deploy egovernment<br />
in the absence of good information.<br />
REFERENCES<br />
[1] Bertot, J.C., & Jaeger, P.T. (2006). User-centered egovernment:<br />
Challenges and benefits for government<br />
websites. Government Information Quarterly, 23, 163-168.<br />
[2] Brewer, G.A., Neubauer, B.J., & Geiselhart, K. Designing<br />
and implementing e-government systems: Critical<br />
implications for public administration and democracy.<br />
Administration and Society, 38(4), 472-499.