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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.

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