Search results

This paper aims to introduce a European project CEES to develop a standard for the evaluation of Electronic Government (e‐Government) services from a citizen satisfaction perspective.

The aim, objectives, methodology, and deliverables of the project CEES are detailed. Furthermore, the challenges of the development of a reference process model in different countries are addressed and academic and practical implications of the project for the citizen‐oriented evaluation of e‐Government services are discussed.

A reference process model for the evaluation of e‐Government services from a citizens' perspective receives strong support from experiences in other similar areas such as software process and information systems governance. The reference model needs to overcome such challenges as the differences in culture, the maturity of e‐Government systems, and citizens‐government relationships.

The research is expected to trigger international collaboration to develop international standards for the evaluation of e‐Government services.

The paper contributes to the literature by enriching the views on e‐Government services and their evaluation via introducing a reference model concept. The CEES project will be the first attempt to apply the reference model concept in the information systems evaluation domain. Despite the wide adoption of reference models in software process, software design, and business process automation, the concept is yet to be applied to the IS evaluation domain.

In the construction sector, the knowledge-based process outgrows its emphasis on technological aspects. Yet, there is a lack of applied studies showing how a procurement system (PS) could be selected in the digital age. In particular, there is a radical need to establish an innovative process to visualise novel PS decision. Therefore, this paper aims to present a knowledge visualised framework for aiding construction PS decision-making.

This paper describes the construction of process innovation. The framework (process) is supported by four influential decision supporting methods (mean utility values, analytic hierarchy process, fuzzy set theory and Delphi method) and computer programming (Matlab).

There are four stages of this framework: (1) uniform rating for decision alternatives; (2) group decision for determining the decision attribute; (3) determining the final choice; (4) reporting the cognitive computing process. Supported by individual and groups decision dynamics, this framework emphasises how the dashboard aided innovative approach enables the induction of understanding, cognitive computing for decision-making and how the information would precisely be represented, which are vital requirements of modern construction.

The contribution of this paper presents two leverage points that support the modern PS decision. Firstly, this paper provides a holistic view of the decision supporting methods on the basis of how a suitable PS would be systematically sought. Based on the existing studies, this paper upgrades into a visualised knowledge decision supporting process. It helps the participants understand and improve their cognitive learning. Secondly, this framework allows the participants to have a view of the individual and group decisions. It sheds light on the development of the collaborative decision-making process.