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Furthermore, it is understood from the highest standard deviation<br />

values for political commitment (8.81) and financial constraints<br />

(8.15) that though some participants were extremely positive<br />

about the consistent political will and funds, whereas others were<br />

not satisfied and had ambiguities. They believe that political<br />

commitment and financial constraints need further improvement.<br />

The discussions with experts revealed that the highest average<br />

(7.92) of political commitment does not necessarily represent the<br />

successful organizational interoperability as some commitments<br />

did not produce fruitful outcomes. Hence, despite of effective<br />

measurements outcomes, the benchmarking can be a disguise if<br />

the interpretation is not correct [4]. Furthermore, they argue that<br />

the policy makers should coordinate directly with back-office for<br />

feedback about these constructs. Selecting interoperability<br />

measures for benchmarking is difficult as the organizations vary<br />

in scope, objectives, and complexity. The measurement<br />

instrument and the constructs described in this paper are the first<br />

step towards advancement of organizational interoperability.<br />

Satisfaction shown from Population Welfare Department, The<br />

case of Sindh is a positive indication that the instrument is<br />

applicable and useful, but there is a need of further extension of<br />

this research to generalize the usefulness of in different types of<br />

public organizations.<br />

Finally, the participants were asked to discuss the applicability of<br />

the proposed measurement instrument and the measurement<br />

constructs for organizational interoperability. The overall<br />

feedback from the participants during participative discussions<br />

about the measurement instrument and constructs was quite<br />

satisfactory, whereas some participants had different views about<br />

some measurement constructs e.g. constitutional restrains and<br />

financial constraints. Though they agree upon the importance of<br />

including these constructs in assessment of organizational<br />

interoperability for the reasons of creating awareness that they’re<br />

important, the measuring and benchmarking of these constructs at<br />

the provincial, district, and local level requires further<br />

investigation. The discussion also concluded that more focus is<br />

required on the aspects of organziational interoperability as it is<br />

equally important to the technical interoperability.<br />

6. CONCLUSIONS<br />

Measurement of organizational interoperability is still a major<br />

challenge for public organizations as there is hardly any<br />

promising, tested, and validated measurement instruments.<br />

Although the organizational aspects of interoperability have<br />

recently proven themselves equally important as technical aspects,<br />

they are still sparsely described in conceptual maturity models and<br />

frameworks. There is hardly any available literature describing<br />

measurement methods and measures to assess organizational<br />

interoperability. There is a definite need of improvement in<br />

organizational interoperability as there are no existing benchmarks<br />

due to the lack of adequate measurement methods and measures.<br />

This paper proposes a measurement instrument focusing both<br />

organizational and technical interoperability. Based on the<br />

literature reviews of existing interoperability maturity models and<br />

frameworks, we developed a list of 15 organizational<br />

measurement constructs in 6 sub-layers of the organizational<br />

layer. Though the proposed measurement instrument includes<br />

both organizational and technical interoperability measurement<br />

layers, our focus was to assess organizational interoperability. The<br />

sub-layers of organizational interoperability provide the guideline<br />

for assessment, whereas the selection of relevant measures or<br />

measurement constraints can vary from organization or<br />

223<br />

organization. Furthermore, we conducted a case study of the<br />

population welfare organization government of Sindh to illustrate<br />

the operationalization of developed measurement instrument and<br />

test the applicability and usefulness of selected constructs. The<br />

case study shows that the measurement constructs and the<br />

instrument provides considerable insight into organizational<br />

aspects of interoperability. The case study entails that the<br />

measurement constructs can be implemented on top of each other.<br />

We found that our approach using measurement layers and<br />

constructs is seen as helpful, but further research is recommended<br />

to investigate the applicability of the measurement instrument<br />

while selecting and applying the measurement constructs to the<br />

different types of public organizations. Finally, we conclude that<br />

the target group of this case study was limited, whereas more<br />

respondents should be included for further evaluation of proposed<br />

measurement instrument and measures.<br />

7. ACKNOWLEDGEMENTS<br />

Thanks to director general Population Department, Government of<br />

Sindh for granting us permission to conduct interviews and survey<br />

session for case study. We specially thank the participants of<br />

PWD Sindh for interactively participating in questionnaire based<br />

survey on measuring and benchmarking the organizational<br />

interoperability.<br />

8. REFERENCES<br />

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

management: A primer and casebook. 1991: Prentice Hall.<br />

[2] Archmann, S. and I. Kudlacek, Interoperability and the<br />

exchange of good practice cases. European Journal of<br />

ePractice, 2008. 2(1): p. 3-12.<br />

[3] ATHENA, C., Enterprise interoperability maturity model<br />

(EIMM) ATHENA IP (Advanced Technologies for<br />

interoperability of Heterogeneous Enterprise Networks and<br />

their Applications Integrated Project) IST-507849 accessed<br />

from: modelbased.net/aif/methodology/eimm.htm, 2004.<br />

[4] Bannister, F., The curse of the benchmark: an assessment of<br />

the validity and value of e-government comparisons.<br />

International Review of Administrative Sciences, 2007.<br />

73(2): p. 171.<br />

[5] Bellman, B. and F. Rausch, Enterprise Architecture for e-<br />

Government, in Electronic Government: Third International<br />

Conference, EGOV 2004, R. Traunmüller, Editor. 2004,<br />

Springer: Berlin / Heidelberg. p. 48-56.<br />

[6] Bostrom, R.P., and Heinen, J.S., "Mis Problems and Failures:<br />

A Sociotechnical Perspective Part I: The Cause", MIS<br />

quarterly, 1(3), 1977, pp. 17-32.<br />

[7] Caffrey, L., et al., Government secure intranets. Information<br />

technology & globalisation series. 1999, London:<br />

Commonwealth Secretariat.<br />

[8] Cimander, R. and H. Kubicek, Organizational<br />

interoperability and organizing for interoperability in egovernment.<br />

Second European Summit on Interoperability in<br />

the iGovernment held in Rome, 2009: p. 109–122.<br />

[9] Clark, T. and R. Jones. Organizational interoperability<br />

maturity model for C2. 1999.<br />

[10] Commission, S.S., A New Zealand E-Government<br />

Interoperability Framework (e-GIF). Retrieved from

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