Purpose: The purpose of this paper is to establish a conceptual framework to assist decision makers in identifying an appropriate decision-supporting method (DSM) to evaluate public-private partnership (PPP) contract types in a disciplined and systematic manner. Design/methodology/approach: A systematic literature review was conducted to compare and analyse DSMs in construction procurement processes, and explore the benefits and limitations of using DSMs. A conceptual framework is then developed to accommodate client characteristics when selecting DSM in a PPP context. An example was obtained to illustrate the implementation of the proposed framework. Findings: DSMs employed in the procurement method selection are identified by using a systemic literature review. The benefits and limitations of each DSM are established and comparisons of DSMs are provided to fit the client characteristics and a conceptual framework is developed to assist decision makers in choosing DSM for contract selection. Originality/value: This paper demonstrates a link between DSMs and PPP contracts which adds value at the stage of PPP contract evaluation. Also, the proposed framework sheds some light on an important aspect of the public sector to consider the improvement of current policies (PPP framework/guideline).

Purpose: 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.Design/methodology/approach: 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).Findings: 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.Originality/value: 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.

This paper presents a comprehensive literature review that addresses procurement selection criteria associated with procurement system evaluation in the construction sector. The aim is to consolidate the knowledge of construction procurement selection criteria (PSC) and provide future research directions. A systematic literature review (SLR) of 37 peer-reviewed journal articles from 1998 to 2019 in the construction procurement system selection process is carried out to understand the extant theoretical and practical foundations of the field. Two hundred fifty-six PSC have been identified. Descriptive and material analysis reveals (1) PSC evolved to match the promotion of emerging procurement systems in the construction industry; (2) three emerging themes of PSC have been identified, namely procurement systems, decision aid tools, and PSC identification methods; (3) PSC could be classified into generic criteria and unique criteria; (4) geographic location may not have a significant impact on the choice of procurement systems. This work identifies and discusses potential research interests in improving PSC identification. The research path, current trends, and future research directions in construction procurement selection are revealed. The paper provides the foundation and impetus for further investigation into procurement system selection practices.