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Evaluating and modelling constructs for e-government decision making

Author

Listed:
  • A M Sharif

    (Brunel Business School, Brunel University)

  • Z Irani

    (Brunel Business School, Brunel University)

  • V Weerakkoddy

    (Brunel Business School, Brunel University)

Abstract

It is now becoming increasingly well understood that the investment and evaluation of electronic government projects is determinant on a number of organisational, policymaking and decision-making factors, which are determining the success or failure of such endeavours. Given the increasing interest in the manner and methods by which public sector projects are implemented as well as evaluated, this paper attempts to synergise contemporary e-government project management (PM) components and synthesise these with extant principles of information systems evaluation. This is carried out in order to model and understand the underlying constructs and determinants of decision-making and operational dynamics within an electronic government case study. The authors seek to advance and apply the cognitive mapping technique of Fuzzy Cognitive Mapping (FCM), through the use of an interpretivist, empirical enquiry technique that is melded with an exploratory simulation of the key factors involved in e-government PM issues. The FCM allows the identification of the inter-relationships within this context and provides a basis for identifying those constructs of PM that drive the case study decision-making agenda. Correlative relationships are also highlighted alongside causal inter-relationships among the dynamic interacting nodes of the digraph representation, to fully explore the schema of project evaluation in e-government.

Suggested Citation

  • A M Sharif & Z Irani & V Weerakkoddy, 2010. "Evaluating and modelling constructs for e-government decision making," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(6), pages 929-952, June.
    • Handle: RePEc:pal:jorsoc:v:61:y:2010:i:6:d:10.1057_jors.2010.11
    DOI: 10.1057/jors.2010.11
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    References listed on IDEAS

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    1. Maylor, Harvey, 2001. "Beyond the Gantt chart:: Project management moving on," European Management Journal, Elsevier, vol. 19(1), pages 92-100, February.
    2. Aktas, Emel & Ulengin, Fusun & Onsel Sahin, Sule, 2007. "A decision support system to improve the efficiency of resource allocation in healthcare management," Socio-Economic Planning Sciences, Elsevier, vol. 41(2), pages 130-146, June.
    3. Ülengin, Füsun & Önsel, Sule & Ilker Topçu, Y. & Aktas, Emel & Kabak, Özgür, 2007. "An integrated transportation decision support system for transportation policy decisions: The case of Turkey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(1), pages 80-97, January.
    4. Ülengin, Füsun & Kabak, Özgür & Önsel, Sule & Ülengin, Burç & Aktas, Emel, 2010. "A problem-structuring model for analyzing transportation-environment relationships," European Journal of Operational Research, Elsevier, vol. 200(3), pages 844-859, February.
    5. Paul Foley, 2005. "The Real Benefits, Beneficiaries and Value of E-Government," Public Money & Management, Taylor & Francis Journals, vol. 25(1), pages 4-6, January.
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    Cited by:

    1. Osman, Ibrahim H. & Anouze, Abdel Latef & Irani, Zahir & Lee, Habin & Medeni, Tunç D. & Weerakkody, Vishanth, 2019. "A cognitive analytics management framework for the transformation of electronic government services from users’ perspective to create sustainable shared values," European Journal of Operational Research, Elsevier, vol. 278(2), pages 514-532.
    2. Malodia, Suresh & Dhir, Amandeep & Mishra, Mahima & Bhatti, Zeeshan Ahmed, 2021. "Future of e-Government: An integrated conceptual framework," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    3. Vishanth Weerakkody & Zahir Irani & Kawal Kapoor & Uthayasankar Sivarajah & Yogesh K. Dwivedi, 0. "Open data and its usability: an empirical view from the Citizen’s perspective," Information Systems Frontiers, Springer, vol. 0, pages 1-16.
    4. Youngseok Choi & Habin Lee & Zahir Irani, 2018. "Big data-driven fuzzy cognitive map for prioritising IT service procurement in the public sector," Annals of Operations Research, Springer, vol. 270(1), pages 75-104, November.
    5. Vishanth Weerakkody & Zahir Irani & Kawal Kapoor & Uthayasankar Sivarajah & Yogesh K. Dwivedi, 2017. "Open data and its usability: an empirical view from the Citizen’s perspective," Information Systems Frontiers, Springer, vol. 19(2), pages 285-300, April.

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