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showed to be useful, for collecting data from respondents from<br />

their natural settings. Using an online technique to collect<br />

responses was limited, but useful to collect the data across<br />

participants of the PbR-SED dispersed in the territory. This<br />

allowed less expensive and more control process of data<br />

collection. Particular attention of the phrasing of questions needs<br />

to be considered carefully for this type of research method. In<br />

particular, the section of questions valuated by using the 7-point<br />

Likert scale proved to be very useful for capturing the opinion of<br />

respondents. The dispersion of responses shows that the scale<br />

goes from high levels of agreement to low levels of agreement<br />

(disagreement). This dispersion was useful to scale the opinions<br />

about factors influence going from enabling or positive impact to<br />

inhibiting or negative impact over a successful adoption of the<br />

PbR-SED. In other words, the results show that there is a set of<br />

powerful enablers and inhibitors during the adoption of the PbR-<br />

SED initiative. For enablers (equal or higher than 5.0 on average),<br />

this study found some particular political, organizational, and<br />

budgetary factors, but among all collaboration, knowledge and<br />

trust factors obtained the highest levels of agreement about their<br />

influence on e-government success. For inhibitors, several factors<br />

across different structures showed low levels of agreement (less<br />

than 5.0 on average) meaning not necessarily no relation with egovernment<br />

success, but a negative impact on e-government<br />

success. Another important result from this study is that the<br />

connection between the goals of the e-government initiative and<br />

the benefits perceived is weak. This may be resulted from the lack<br />

of clarity about the goals and expected results of the PbR-SED in<br />

organizations creating confusion across participants of the project.<br />

In general, participants share knowledge and information,<br />

collaborate more with others, and are more accountable for what<br />

they do; however, they are unable of clear set of goals and<br />

performance indicators for improving efficiency, cost reduction<br />

and improving public services.<br />

7. REFERENCES<br />

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[2] Ambite, J. L. et al. 2002. Data integration and access. In<br />

William J. McIver and Ahmed K. Elmagarmid. Advances in<br />

digital government technology, human factors, and policy.<br />

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[3] Andersen, D. F. and Dawes, S. S. Government information<br />

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[4] Bryman, A. Social Research Methods. Oxford University<br />

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[5] Cresswell, A.M., Pardo, T.A., and Hassan, S. 2000.<br />

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[12] De Lancer Julnes, P., and Holzer, M. 2001. "Promoting the<br />

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[13] Dirks, K. T. and Ferrin, D. L. 2001. "The Role of Trust in<br />

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[14] Fountain, J. E. 2001. Building the virtual state: Information<br />

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